CN115409392A - Method and device for determining material production plan, storage medium and electronic equipment - Google Patents
Method and device for determining material production plan, storage medium and electronic equipment Download PDFInfo
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Abstract
The application discloses a method and a device for determining a material production plan, a storage medium and electronic equipment. Wherein, the method comprises the following steps: determining the planned quantity to be produced of various materials of the machine in a target time interval and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning number and the finished number; and determining the producibility of various materials in a target time period according to the remaining planned consumed time and the preset time, wherein the time corresponding to the target time period is equal to the preset time. The method and the device solve the technical problems that in the related art, labor cost is high, mistakes are easy to make, and complexity is high due to the fact that material requirements are calculated in an artificial mode.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, an apparatus, a storage medium, and an electronic device for determining a material production plan.
Background
In the manufacturing industry, in some manufacturing plants, such as tire manufacturing production plants, production planning is used as the core of production, and is an important means for achieving business objectives of enterprises, and also a basis for organizing and guiding enterprise production activities to plan. According to the data of the production plan of the next procedure, the current inventory, the material management and the like, the calculation and the transmission of the requirement material requirements are timely, accurately and flexibly carried out according to the standardized calculation specification, and the basis for ensuring the continuous and efficient production process is provided.
In the related art, the calculation of the material requirement of the banburying process is basically organized by professional technicians to carry out activities, the calculation mode mainly adopts manual calculation, and the following defects mainly exist:
1. due to the fact that the planning and scheduling process is complex, the amount of data needing to be processed is large, due to the fact that product plans are increased, modified and deleted due to site emergencies, changes of material requirements cannot be timely and efficiently conducted through a traditional manual calculation mode, staff communication is not smooth, adjustment speed is low, errors easily occur, and management quality and communication cost are affected.
2. The requirement calculation rule is not standardized, the dependence degree of manual experience is high, the calculation error caused by the fact that the actual calculation process is contrary to the calculation rule is easily caused, and the complexity of manual approval is improved.
3. After the product plan is changed, because the production plan is not centrally controlled, the qualification requirement on a practitioner is higher, and the labor cost investment is huge.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a method, a device, a storage medium and an electronic device for determining a material production plan, and aims to at least solve the technical problems of high labor cost, high error probability and high complexity caused by calculation of material requirements based on a manual mode in the related art.
According to an aspect of an embodiment of the present application, there is provided a method for determining a material production plan, including: determining the planned quantity to be produced of various materials of the machine in a target time period and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; and determining the producibility of various materials in a target time period according to the remaining planned consumed time and the preset time, wherein the time corresponding to the target time period is equal to the preset time.
Optionally, determining the producibility of each type of material in the target time period according to the remaining planning consumed time and a preset time period, including: acquiring the production sequence of various materials in a target time period; adding the remaining plan consumed time corresponding to the materials according to the production sequence to sequentially obtain each plan occupied time corresponding to the production of each type of materials, wherein the plan occupied time is used for indicating the time length required by the machine to produce the current materials and the time length occupied by other materials before the production sequence of the current materials under the conditions that the production sequence and the occupied time required by other materials are considered; and comparing the time occupied by each plan with preset time, and determining the producibility of various materials in the target time period according to the comparison result.
Optionally, comparing each planned time taken by the schedule with a preset time period includes: sequentially comparing each plan time occupation with preset time duration based on the production sequence, and screening a material type set with the time occupation less than the preset time duration from each plan time occupation corresponding to each material; determining that the last type in the material type set is a critical type; and determining the next type of the critical types as a final producible material type in the target time period according to the production sequence, wherein the planned occupation time corresponding to the final producible material type is greater than the preset time length.
Optionally, determining the producibility of the various materials in the target time period according to the comparison result, including: acquiring first linear speeds corresponding to various materials in a generated material type set of a machine; determining the product of the first linear velocity and the remaining planning time consumption as the first producibility of each type of material in the material type set.
Optionally, determining the producibility of each type of material in the target time period according to the comparison result includes: acquiring the time for the machine to generate a second linear speed corresponding to the type of the finally producible material and a plan occupation corresponding to the critical type; and determining a second producibility according to the second linear speed, the preset time and the planned occupation time corresponding to the critical type.
Optionally, determining the second producibility according to the second linear speed, the preset time duration and the planned occupation time corresponding to the critical type includes: acquiring a difference value between a preset time length and a planned time occupation corresponding to a critical type; determining the product of the second linear velocity and the difference as a second producible amount of the type of the ultimately producible material.
Optionally, obtaining the remaining planned consumed time corresponding to each type of material based on the planned quantity and the completed quantity includes: determining the difference value between the planned quantity and the finished quantity, and determining the corresponding linear speed of the machine when various materials are produced; dividing the difference by the line speed yields the remaining planning time.
Optionally, after determining the producibility of each type of material in the target time period according to the remaining planning consumed time and the preset time length, the method further includes: the method comprises the steps of obtaining types of various materials, combining the materials of the same type, and obtaining the total producibility of a machine table of the materials of the same type in a target time period; and determining the distribution priority of each type of material according to at least the total production capacity, wherein the total production capacity is in positive correlation with the distribution priority, and the larger the value corresponding to the distribution priority is, the higher the level of the distribution priority is.
According to another aspect of the embodiments of the present application, there is also provided a device for determining a material production plan, including: the system comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining the planned quantity to be produced of various types of materials of a machine in a target time period and the finished quantity of the various types of materials, and the machine is used for sequentially finishing the production of the various types of materials according to a production sequence; the second determining module is used for obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; and the third determining module is used for determining the producibility of various materials in the target time interval according to the remaining planned consumed time and the preset time, wherein the time corresponding to the target time interval is equal to the preset time.
According to another aspect of the embodiments of the present application, there is also provided a non-volatile storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus where the storage medium is located is controlled to execute any one of the determining methods of the material production plan.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the material production plan determination methods.
In the embodiment of the application, the mode of automatically calculating the material requirements at intervals of fixed time length is adopted, and the planned quantity of various materials to be produced by the machine in the target time interval and the finished quantity of the various materials are determined, wherein the machine is used for sequentially finishing the production of the various materials according to the production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; the production capacity of various materials in the target time interval is determined according to the time consumed by the remaining plan and the preset time, wherein the time corresponding to the target time interval is equal to the preset time, and the purpose of automatically determining the material demand is achieved, so that the manual intervention is reduced, the accuracy of a calculation result is improved, the technical effect of more efficient management of the whole material demand is achieved, and the technical problems of high labor cost, high error probability and high complexity caused by calculating the material demand based on a manual mode in the related art are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow diagram of an alternative method for determining a material production plan according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an application system architecture of an automatic generation service for rubber material demand in an embodiment of the present application;
FIG. 3 is a schematic diagram of a sizing demand service roll execution in an embodiment of the present application;
FIG. 4 is a flow chart of the ex-warehouse service of banburying rubber in the embodiment of the application;
FIG. 5 is a schematic diagram of an apparatus for determining a material production plan according to an embodiment of the present application;
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
To facilitate a better understanding of the embodiments related to the present application by those skilled in the art, the technical terms or partial terms that may be referred to in the present application are now explained as follows:
1. bill of materials (Bom), which is a computer aided enterprise production management, first of all to enable a computer to read the composition of products manufactured by the enterprise and all materials involved, for the convenience of computer identification, the product structure expressed by a diagram must be converted into a data format, and the file describing the product structure in the data format is the Bill of materials, i.e. Bom. It is a technical document defining the structure of a product, and therefore, it is also called a product structure table or a product structure tree. In certain industries, it may be referred to as a "recipe", "list of elements", or other name. In the MRP II and ERP systems, the term "material" has a broad meaning, and is a general term for all production-related materials, such as products, semi-finished products, products in process, raw materials, kits, coordination parts, consumables and the like.
The MES system is a production informatization management system facing to a workshop execution layer of a manufacturing enterprise. The MES can provide management modules for enterprises, such as manufacturing data management, planning scheduling management, production scheduling management, inventory management, quality management, human resource management, work center/equipment management, tool and tool management, purchasing management, cost management, project bulletin board management, production process control, bottom layer data integration analysis, upper layer data integration decomposition and the like, and create a solid, reliable, comprehensive and feasible manufacturing cooperative management platform for the enterprises.
3. An Automated Guided Vehicle (AGV) is a transport Vehicle equipped with an electromagnetic or optical automatic guide device, capable of traveling along a predetermined guide path, and having various transfer functions, and is capable of safety protection, and belongs to the category of a wheel Robot (WMR). In industrial application, the driver's transportation vehicle is not required, and the rechargeable battery is used as its power source. Generally, the traveling route and behavior can be controlled by a computer, or the traveling route is established by using an electromagnetic track (electromagnetic-following system), the electromagnetic track is adhered to the floor, and an unmanned vehicle (Driverless) moves and moves according to the information brought by the electromagnetic track.
4. The description and explanation of each field of the equipment stock requirement table are shown in table 1:
5. the description and explanation of each field of the sizing requirement table are shown in table 2:
in accordance with an embodiment of the present application, there is provided a method for determining a material production plan, wherein the steps illustrated in the flowchart of the drawings may be implemented in a computer system such as a set of computer executable instructions, and wherein although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than the order illustrated.
Fig. 1 is a method for determining a material production plan according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step S102, determining the planned quantity to be produced of various materials of the machine in a target time interval and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence;
for example, a machine has 3 materials to be produced at a certain date, the 3 materials are A1, A2, and A3, the planned quantities are S1, S2, and S3, and the production sequence (or cis) is 1, 2, and 3, i.e., the first product material A1, the second material A2, and the last material A3.
Step S104, obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity;
and S106, determining the producibility of various materials in a target time interval according to the remaining planning time consumption and the preset time, wherein the time corresponding to the target time interval is equal to the preset time.
It should be noted that the method can be implemented based on MES, and the preset time period is a time period in the future, which can be determined according to actual requirements, and for example, it can be 4 hours. The material demand in 4 hours can be calculated in a rolling mode through service every 2 hours, the quantity of the demand is downloaded regularly, and the MES and the AGV system can transmit information timely and mutually, so that the problems of information asymmetry, high communication cost and poor production continuity caused by frequent change of a subsequent process plan are effectively solved.
In the method for determining the material production plan, the planned quantity of various materials to be produced by a machine in a target time interval and the finished quantity of the various materials are determined, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; the production capacity of various materials in a target time interval is determined according to the time consumed by the residual plan and the preset time, and the purpose of automatically determining the material demand is achieved, so that the manual intervention is reduced, the accuracy of a calculation result is improved, the technical effect of more efficient management of the whole material demand is achieved, and the technical problems of high labor cost, high error probability and high complexity caused by calculating the material demand based on a manual mode in the related art are solved.
In some embodiments of the application, the producibility of various materials in the target time period is determined according to the remaining planning time consumption and the preset time duration, and the method can be realized through the following steps, specifically, the production sequence of various materials in the target time period can be obtained; adding the remaining plan consumed time corresponding to the materials according to the production sequence, sequentially obtaining each plan occupied time corresponding to the production of each material, comparing each plan occupied time with a preset time length, and determining the producibility of each material in the target time interval according to the comparison result. It should be noted that the above plan occupation time is used to indicate the time length required when the machine produces the current material and the time length occupied by other materials before the production sequence of the current material, considering the production sequence and the time occupied by other materials,
for example, a machine has 4 materials to be produced at a certain date, where the 4 materials are A1, A2, A3, and A4, the planned quantities are S1, S2, S3, and S4, and the production sequence (or called cis position) is 1, 2, 3, and 4, respectively, that is, a first-generation product material A1, a second-generation material A2, a third-generation material A3, and a third-generation material A4, where the remaining planned time consumption for producing the materials A1, A2, A3, and A4 is 0, t1, t2, and t3, respectively, the planned time consumption of A1 is 0, the planned time consumption of A2 is t1, the planned time consumption of A3 is t1+ t2, and the planned time consumption of A4 is t1+ t2+ t3.
In some optional embodiments of the present application, comparing each scheduled time to a preset time period includes: sequentially comparing each plan time occupation with preset time duration based on the production sequence, and screening a material type set with the time occupation less than the preset time duration from each plan time occupation corresponding to each material; determining the last type in the material type set as a critical type; and determining the next type of the critical type as a final producible material type in the target time period according to the production sequence, wherein the planned time occupation corresponding to the final producible material type is greater than a preset time length.
Still taking the above A1, A2, A3, and A4 as examples, assuming that the preset time duration is 4h, if (t 1+ t 2) <4h, and t1+ t2+ t3>4h, it may be determined that the set of material types less than the preset time duration is { A1, A2, and A3}, that is, A3 is a critical material, and A4 is a final producible material.
In some embodiments of the present application, determining the producibility of each type of material in the target time period according to the comparison result may be implemented in the following manner, specifically, a first linear velocity corresponding to each type of material in a generated material type set of a machine may be obtained; the product of the first linear velocity and the remaining planned elapsed time is determined as the first producibility of each type of material in the set of material types.
In other embodiments of the present application, determining the producibility of each material in the target time period according to the comparison result may be implemented by the following steps, specifically, acquiring a planned occupation time when the machine generates a second linear velocity corresponding to a type of a finally producible material and a critical type; and determining a second producibility according to the second linear speed, the preset time and the planned occupation time corresponding to the critical type.
Specifically, the second producibility is determined according to the second linear speed, the preset time length and the planned occupation time corresponding to the critical type, which may be a difference value between the preset time length and the planned occupation time corresponding to the critical type; determining the product of the second linear velocity and the difference as a second producible amount of the type of the ultimately producible material.
As an optional implementation manner, the remaining planned consumed time corresponding to each type of material is obtained based on the planned quantity and the completed quantity, and the corresponding linear speed of the machine when each type of material is produced can be determined for determining the difference between the planned quantity and the completed quantity; dividing the difference by the line speed yields the remaining planning time.
It should be noted that after the producibility of various materials in the target time period is determined according to the remaining planning time consumption and the preset duration, the types of the various materials can be obtained, and the materials of the same type are combined to obtain the total producibility of the machine station in the target time period for the materials of the same type; and determining the distribution priority of each type of material according to at least the total production capacity, wherein the total production capacity is in positive correlation with the distribution priority, and the larger the value corresponding to the distribution priority is, the higher the level of the distribution priority is.
Alternatively, the delivery priority may be determined in such a manner that the delivery priority = (number of planned demands × (1 + return rate) + lower stock limit)/(stock level stock + line side stock + in-transit stock), and the higher the calculation result of the priority, the higher the material priority. After the distribution priority is generated, the generated demand information state is changed from compiling to issuing, the required material information can be confirmed manually, and the rubber material demand data is downloaded to an AGV system through the message pushing service.
The above technical solution of the present application will now be described with reference to a scenario of a requirement for a sizing material in a post-process of a tire.
Fig. 2 is a structure of the application system for automatic generation of sizing material demand service, as shown in fig. 2, the overall operation process thereof is mainly divided into the following four steps:
1) The automatic generation service of the sizing material requirement takes the plan requirement and the stock number which can be inquired in the MES system as input, and the actual requirement is automatically generated through the service;
2) Timely downloading the generated sizing material requirement in the release state to an AGV system through a message pushing service;
3) After the AGV collects the required materials according to the priority, the rubber material sending information is transmitted to the MES through the AGV rubber material outlet webservice service interface;
4) And (4) confirming the material receiving of the on-site material upper computer, prompting the suggested stock position, updating stock data and further updating the automatic generation service of the rubber material demand.
The automatic rubber material demand generation service system has the advantages that the automatic rubber material demand generation service result is downloaded to the AGV at regular time through the interface, so that the MES system and the AGV system are directly interacted, the traditional manual counting and demand material demand calculation mode is changed, field workers can conveniently and directly collect and update data, and the service operation efficiency is greatly improved.
The sizing material requirement automatic generation service required source data and the service generated requirement record related to the embodiment mainly depend on and act on the following data structure table, specifically as follows:
1. machine stock preparation requirement table: the method comprises the information of stock preparation order number, stock preparation date, shift group, stock preparation type, state, equipment name, material code, suggested quantity, planned material, planned sequence, planned quantity, semi-finished product planned number, planned original quantity, planned deletion identification, predicted production time and the like. The method mainly stores the material preparation requirement information of the machine corresponding to the assigned production plan of the shift of the date.
2. Sizing material requirement table: the method comprises the data of material numbers, material quantity, planned required quantity, stock level stock, line side stock, in-transit stock, return rate, stock lower limit, required quantity, actual required quantity, received material quantity, type, priority, state, deletion identification, service date, shift time and the like, and mainly stores the glue stock requirement calculated by a system.
3. The planning demand service calculates the material preparation demand and writes the material preparation demand into the machine station material preparation demand table through the planning quantity and the BOM quota based on the product plan; and the rubber demand automatic generation writes the generated rubber demand into a rubber demand table based on the machine stock preparation demand table.
Fig. 3 is a schematic diagram of the rolling execution of the sizing demand service in this embodiment, and the input of the automatic sizing demand generation algorithm mainly consists of two parts, which are the planned demand quantity and the stock quantity of the semi-finished product plan. The stock quantity is divided into three parts of line side stock, in-transit stock and stock position stock.
The calculation formula of the sizing material demand plan is as follows: the rubber material demand plan = (the planned consumption of the future 4 hours, the rubber material return rate, the rubber material stock standard and the difference between the process stock, the line edge stock and the in-transit amount are calculated at intervals of 2 hours) is not enough to provide the demand plan, and it needs to be noted that the execution frequency of the service can be the demand generation service executed once every 2 hours; the calculation range is the amount of demand in 4h (i.e. the preset duration) in the future, and the main purpose is to prepare materials in advance and to cope with the plan change.
As shown in fig. 3, the glue stock demand service rolling execution diagram is shown, time T1-T4 is 4 hours after the first service execution time, and time T3-T6 is 4 hours after the second service execution time, where the execution time range of plan 1 takes time T1 as a starting point, time T3 as a plan ending time, the execution time range of plan 2 takes time T3 as a starting point, and the ending time is between time T5 and time T6; since the end time of the calculation range of the first service is less than the execution end time of plan 2, the first service does not completely count the material demand quantity of plan 2, and when the second service is executed, the service completely counts the total material demand of plan 2 and the material demand of the rest plans within 4 hours, so that the accuracy and the production continuity of the field plan material demand can be ensured by executing the 4-hour plan material demand quantity in a rolling manner by using 2 hours as the service.
Furthermore, the logic of each rule in the algorithm is explained. Extracting planned dosage of the sizing material: and the MES system performs planned dosage extraction of semi-finished rubber materials in a rolling mode for 2 hours, and the formula is as follows: planned amount of semi-finished products/linear speed = production time, and the quantity of semi-finished products extracted for 4 hours is reduced by using MES system BOM.
Line speed extraction path: the MES system, the production plan, the data maintenance, the machine productivity, the linear speed = the productivity output/the production duration, and can be adjusted.
Setting the rubber material return rate: and the MES system sets the glue separation seeds for input, and the return rate refers to historical data for formulation.
Stock standard setting of the sizing material: and the MES system sets a glue separating seed for inputting, namely the lower limit of the stock of the specific glue.
Stock extraction: and the stock of the semi-finished product process and the stock of the line edge (the current system has data of a line edge library, and the stock of the line edge library is not reflected in the process stock) are extracted by the MES system, so that the consumption stock is decreased progressively (the machine uses a code to scan the consumed stock, so that the consumed stock is removed), and the manual inventory is regularly adjusted.
Warehousing in transit: and after the AGV trolley conveys the rubber to the conveying belt, the rubber is submitted to the final rubber ex-warehouse information, the MES system synchronizes the final rubber ex-warehouse information, and the final rubber is in-transit warehouse before the final rubber is ex-warehouse to the post-process material receiving and warehousing.
After the MES system generates the sizing material demand data, the data need to be sent to the AGV system, and the MES system needs to realize a sizing material demand plan receiving interface with the AGV system.
Table 3 is a schematic table of plan requirement calculation, and as shown in table 3, assuming that a machine has three kinds of plan materials to be produced in an early shift of a certain date, the operation logic is as follows:
first, its projected demand is calculated.
(1) The planned number and the completed number are acquired first, and the remaining planned number (planned number-completed number) is judged in turn. As shown in the A1 material, no calculation is performed for plans with the remaining plan number equal to or less than 0.
(2) For the plans with the residual plan quantity greater than 0, acquiring the linear speed (the capacity of the machine for producing the corresponding material) of the plans, and obtaining the linear speed through a formula: and calculating the residual planned consumed time of each plan on the machine platform.
(3) Assuming that the service operation time is T0, and taking the service time T0 required by the operation plan as a starting point, the production ending time is sequentially and continuously calculated according to the plan order on the machine.
In this process, the planned material demand number is sequentially calculated by the service in this time, as shown in table 4 (see the following table), if T0+4h (the material demand within 4 hours of service calculation) < the end time of the shift, assuming that T1<4h and T1+ T2>4h, the planned number actually calculated by plan 2 is: t1 × V2, the number of plans actually operated by plan 3 is: (4-t 1) × V3.
Since the actual planned demand = planned number BOM quota, the actual planned demand of plan 2 in this case is: t 1V 2 bom1, the plan requirement number for actual calculation of plan 3 is: (4-t 1)) V3 bom2.
As shown in table 5 (see table below), if T0+4h > shift end time, assuming T1<4h, T1+ T2<4h, and T1+ T2+ T3>4h, the number of plans actually operated by the early shift plan 2 is: t1 × V2, the number of plans actually operated by plan 3 is: t2 × V3, the actual number of plans calculated for the middle shift plan 1 is: (4- (t 1+ t 2)). Times.V 1.
Since actual projected demand = projected number × BOM quota, the actual projected demand of plan 2 in this case is: t 1V 2 bom1, plan 3 actual computation demand number: t 2V 3 bom2, the actual number of demands of the middle shift plan 1: (4- (t 1+ t 2)). Times.V 1. Times.bom 1. It should be noted that the BOM quota may be a ratio of materials required by a certain specification, such as a certain tire.
By the formula: and (4) providing a demand plan if the difference between planned consumption of the sizing material, the sizing material return rate, the sizing material stock inventory benchmark, the process inventory, the line edge inventory and the in-transit amount is not enough (calculating the planned consumption of the next 4 hours at intervals of 2 hours).
After 4h of plan demand is calculated, the same materials can be combined, the demand of the same materials in different plans is combined, and after the actual rubber material demand is obtained, the feeding priority is calculated, wherein the reference formula is as follows:
priority = (number of planned demands × (1 + return rate) + lower stock limit)/(stock level stock + line side stock + in-transit stock), the larger the priority calculation result, the higher the material priority.
After the priority is generated, the generated demand information state is changed from compiling to issuing, the required material information can be confirmed manually, and the rubber material demand data is downloaded to an AGV system through the message push service.
Fig. 4 is a flow chart of an ex-warehouse service for banburying rubber, and as shown in fig. 4, the technical scheme can be mainly based on an MES system, reduce rubber requirements according to a planned sequence of semi-finished products by using basic data such as a system BOM and inventory, and push an AGV to automatically execute a material sending task. By means of the advantages of high operation speed and high accuracy of an informatization system, the production data is collected, processed and output, manual judgment and thinking are reduced, complexity of a production process and complexity of staff operation are reduced, timeliness, accuracy and optimization of output are improved, and production intelligence and autonomy are improved to a certain extent. The scheme mainly provides a processing model description of production data.
It is easy to notice that the complicated material calculation rules can be substantially fallen to the ground through the technical scheme. When the manual processing is carried out, due to the complex algorithm, carelessness and even paradox with the established rule are inevitable, and meanwhile, manual examination and approval are difficult to find. After the system service is automatically generated, all the established rules can be configured in the system, and the standardized rules are formed through repeated confirmation. The accuracy can be guaranteed through the subsequent material requiring calculation, too much manual intervention is not needed, and the whole material demand management is more accurate and efficient. Secondly, the algorithm is efficient, process data can be checked, the standardized management capacity of an enterprise is reflected, and the customer satisfaction degree is improved. And the change and confirmation of the requirement generated by the service are supported, and the accuracy can be further improved through manual confirmation while the automation improvement efficiency is met. In addition, the scheme can be integrated with an AGV system to form an integrated banburying rubber material ex-warehouse scheme, so that manual intervention factors are reduced, the overall communication efficiency in an enterprise is improved through the circulation of automatic data, and the operation cost of the enterprise is reduced. The consistency between the front and the rear working procedures is improved, and the centralized management and control of the production plan are realized to a certain extent. It can be understood that through the characteristics of rolling and calculating the material demand within 4 hours every 2 hours by service, downloading the quantity of the demand regularly, and timely information transmission between the MES and the AGV system, the problems of information asymmetry, high communication cost and poor production continuity caused by frequent change of a subsequent process plan are effectively reduced.
Fig. 5 is a device for determining a material production plan according to an embodiment of the present application, as shown in fig. 5, the device includes:
the first determining module 50 is used for determining the planned quantity to be produced of various materials of the machine in the target time interval and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to the production sequence;
a second determining module 52, configured to obtain remaining planned consumed time corresponding to each type of material based on the planned quantity and the completed quantity;
and a third determining module 54, configured to determine the producibility of each type of material in the target time period according to the remaining planned consumed time and a preset time length, where a time length corresponding to the target time period is equal to the preset time length.
In the device for determining the material production plan, a first determining module 50 is used for determining the planned quantity to be produced of various materials of a machine in a target time interval and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; a second determining module 52, configured to obtain remaining planned consumed time corresponding to each type of material based on the planned quantity and the completed quantity; the third determining module 54 is configured to determine the producibility of various materials in the target time interval according to the remaining plan consumed time and the preset time, where the time corresponding to the target time interval is equal to the preset time, so as to achieve the purpose of automatically determining the material demand, thereby achieving the purpose of reducing manual intervention, improving the accuracy of the calculation result, and enabling the whole material demand management to be more efficient.
According to another aspect of the embodiments of the present application, a non-volatile storage medium is further provided, where the storage medium includes a stored program, and when the program runs, a device where the storage medium is located is controlled to execute any one material production plan determination method.
Specifically, the storage medium is used for storing program instructions of the following functions, and the following functions are realized:
determining the planned quantity to be produced of various materials of the machine in a target time interval and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; and determining the producibility of various materials in the target time period according to the residual planned consumed time and the preset time, wherein the time corresponding to the target time period is equal to the preset time.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the aforementioned storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the aforementioned.
In an exemplary embodiment of the application, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements the method of determining a material production plan of any of the above.
Optionally, the computer program may, when executed by a processor, implement the steps of:
determining the planned quantity to be produced of various materials of the machine in a target time period and the finished quantity of the various materials, wherein the machine is used for sequentially finishing the production of the various materials according to a production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning number and the finished number; and determining the producibility of various materials in a target time period according to the remaining planned consumed time and the preset time, wherein the time corresponding to the target time period is equal to the preset time.
An embodiment according to the application provides an electronic device, which includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform any of the material production plan determining methods described above.
Optionally, the electronic device may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
As shown in fig. 6, the device 600 comprises a computing unit 601, which may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
In the related embodiment of the application, the mode of automatically calculating the material requirements at intervals of fixed time length is adopted, and the planned quantity of various materials to be produced by the machine in the target time interval and the finished quantity of the various materials are determined, wherein the machine is used for sequentially finishing the production of the various materials according to the production sequence; obtaining the residual planning time consumption corresponding to various materials based on the planning quantity and the finished quantity; the production capacity of various materials in the target time interval is determined according to the time consumed by the remaining plan and the preset time, wherein the time corresponding to the target time interval is equal to the preset time, and the purpose of automatically determining the material demand is achieved, so that the manual intervention is reduced, the accuracy of a calculation result is improved, the technical effect of more efficient management of the whole material demand is achieved, and the technical problems of high labor cost, high error probability and high complexity caused by calculating the material demand based on a manual mode in the related art are solved.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that, as will be apparent to those skilled in the art, numerous modifications and adaptations can be made without departing from the principles of the present application and such modifications and adaptations are intended to be considered within the scope of the present application.
Claims (11)
1. A method for determining a material production plan, comprising:
determining the planned quantity to be produced of various types of materials of a machine in a target time period and the finished quantity of the various types of materials, wherein the machine is used for sequentially finishing the production of the various types of materials according to a production sequence;
obtaining the remaining planning time consumption corresponding to each type of material based on the planning number and the finished number;
and determining the producibility of the various materials in the target time interval according to the residual planned consumed time and preset time, wherein the time corresponding to the target time interval is equal to the preset time.
2. The method of claim 1, wherein determining the producibility of the types of materials in the target period according to the remaining scheduled time and a preset time period comprises:
acquiring the production sequence of the various materials in the target time period;
adding the remaining plan consumed time corresponding to the materials according to the production sequence to sequentially obtain each plan consumed time corresponding to the production of each type of materials, wherein the plan consumed time is used for indicating the time length required by the machine for producing the current material and the time length required by producing other materials before the production sequence of the current material under the condition of considering the production sequence and the time required by the production of other materials;
and comparing the time occupied by each plan with the preset time, and determining the producibility of the various materials in the target time interval according to the comparison result.
3. The method of claim 2, wherein comparing the respective scheduled time durations to the preset time duration comprises:
comparing the planned time durations with the preset time duration in sequence based on the production sequence, and screening a material type set smaller than the preset time duration from the planned time durations corresponding to the various materials;
determining that the last type in the material type set is a critical type;
determining a next type of the critical types as a final producible material type within the target time period according to the production order, wherein a planned time occupation corresponding to the final producible material type is greater than the preset time period.
4. The method of claim 3, wherein determining the producibility of the types of materials within the target time period according to the comparison comprises:
acquiring first linear speeds corresponding to various materials in the material type set generated by the machine;
determining the product of the first linear velocity and the remaining planned consumed time as the first producible amount of each type of material in the set of material types.
5. The method of claim 3, wherein determining the producibility of the types of materials within the target time period according to the comparison result comprises:
acquiring the second linear speed corresponding to the type of the finally producible material and the planned occupation time corresponding to the critical type when the machine station generates the plan occupation time;
and determining a second producible amount according to the second linear speed, the preset time and the planned occupation time corresponding to the critical type.
6. The method of claim 5, wherein determining a second producibility based on the second linear velocity, the preset duration, and the scheduled occupancy for the critical type comprises:
acquiring a difference value between the preset time length and the planned time occupation corresponding to the critical type;
determining a product of said second linear velocity and said difference as a second producible amount of said finally producible material type.
7. The method of claim 1, wherein obtaining remaining scheduled elapsed times for the types of materials based on the scheduled quantity and the completed quantity comprises:
determining the difference value between the planned quantity and the finished quantity, and determining the corresponding linear speed of the machine when the various materials are produced;
and dividing the difference value by the linear speed to obtain the residual planning consumed time.
8. The method of claim 1, wherein after determining the producibility amount of the types of materials in the target period according to the remaining scheduled time and a preset time period, the method further comprises:
obtaining the types of the various materials, and combining the materials of the same type to obtain the total producibility of the machine table of the materials of the same type in the target time period;
and determining the distribution priority of each type of material according to at least the total production capacity, wherein the total production capacity is in positive correlation with the distribution priority, and the larger the value corresponding to the distribution priority, the higher the level of the distribution priority.
9. An apparatus for determining a material production plan, comprising:
the system comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining the planned quantity to be produced of various materials of a machine in a target time interval and the finished quantity of the various materials, and the machine is used for sequentially finishing the production of the various materials according to a production sequence;
a second determining module, configured to obtain remaining planning time consumption corresponding to the various types of materials based on the planned quantity and the completed quantity;
and the third determining module is used for determining the producibility of the various materials in the target time interval according to the remaining planned consumed time and a preset time, wherein the time corresponding to the target time interval is equal to the preset time.
10. A non-volatile storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, the apparatus on which the storage medium is located is controlled to execute the method for determining a material production plan according to any one of claims 1 to 8.
11. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of determining a material production plan of any one of claims 1 to 8.
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