CN111126906A - Automobile BOM data generation method and system - Google Patents

Automobile BOM data generation method and system Download PDF

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CN111126906A
CN111126906A CN201911311676.1A CN201911311676A CN111126906A CN 111126906 A CN111126906 A CN 111126906A CN 201911311676 A CN201911311676 A CN 201911311676A CN 111126906 A CN111126906 A CN 111126906A
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product
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曹丹领
李学兵
徐贤
李青春
李端午
毛竹君
魏超
仵阳
王哲
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Dongfeng Commercial Vehicle Co Ltd
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Abstract

The invention discloses a method and a system for generating automobile BOM data, wherein the method for generating the automobile BOM data comprises the following steps: constructing a BOM database which comprises all preset optional product families, all product series under the product families and optional variable families under the product series; determining a product series and a selected variable family according to a selection instruction acting on equipment in sequence; displaying all variables in a variable family, and determining the selected variables according to a selection instruction acting on the equipment to form module data corresponding to the variable family; and finishing the selection of the variables of the selected variable family under the product series, forming module data of all requirements, and generating the BOM data of the automobile. The generation method can fully meet the individual requirements of the user, shorten the production period of the customized vehicle and improve the production efficiency.

Description

Automobile BOM data generation method and system
Technical Field
The invention relates to the technical field of vehicle manufacturing, in particular to a method and a system for generating BOM data of an automobile.
Background
The vehicle industry has developed over a hundred years, has gone through stages of single piece custom-made production, mass production and lean production, and has begun to enter the era of mass customization. The large-scale customization is to use technologies such as intelligent manufacturing and informatization, and meet the personalized customization requirements of customers with economy and low cost of large-scale production. From a narrow perspective, meeting the personalized customization needs of the customer refers to producing by order, that is, organizing production according to the production plan made by the customer order. The existing large-scale vehicle customization mode cannot meet the individual requirements of customers, the life cycle of products is shortened, and the product quality, cost and delivery period all bring huge pressure to manufacturers.
Chinese patent document CN106548260A discloses a method and apparatus for producing a customized vehicle, which includes obtaining a customized information identifier of the customized vehicle satisfying a predetermined production condition within a predetermined time in a production order; sequencing the processing sequence of the customized vehicles in each workshop according to the customized information identification and the preset sequencing rule of each workshop; sequentially reading a data list in a control instruction of each processing station of the customized vehicle in each workshop according to a vehicle production flow and the processing sequence of the customized vehicle in each workshop; sending the data list to each processing station, so that the automation equipment of each processing station sequentially operates each customized vehicle according to the data list of each customized vehicle; the method reduces the cycle time for custom vehicle production.
The patent is based on a customized vehicle, and the customized vehicle expansion design, trial production and verification of other customization requirements are carried out. The production mode of the customized vehicle has great advantages in the aspect of efficiency of the customized vehicle with single demand, and can quickly respond to the personalized demand of the market. However, as the demand of society is continuously increased, the demand of society for product diversity is difficult to meet in this way. Moreover, the expansion production of other customized vehicles is carried out on the basis of a single customized vehicle, so that the resource investment of the test and trial production requirements of the vehicle is repeatedly carried out, and great resource waste is caused; moreover, the components of the vehicles with different customization requirements are poorly generalized, resulting in long development periods of customized vehicles with other customization requirements.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an automobile BOM data generation method and an automobile BOM data generation system.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a method for generating BOM data of an automobile comprises the following steps:
constructing a BOM database which comprises all preset optional product families, all product series under the product families and optional variable families under the product series;
determining a product series and a selected variable family according to a selection instruction acting on equipment in sequence;
displaying all variables under one variable family, and determining the selected variables according to a selection instruction acting on equipment to form module data corresponding to the variable family;
and finishing the selection of the variables of the selected variable family under the product series, forming module data of all requirements, and generating the BOM data of the automobile.
On the basis of the technical scheme, the BOM database is constructed and comprises all preset optional product families, all product series under the product families and optional variable families under the product series, including,
the product family is used for product classification, the product family is used for defining the use and driving form of the product, and the variable family is used for defining the function and the characteristic of the product.
On the basis of the technical scheme, the product family comprises a tractor, a truck and an engineering truck.
On the basis of the technical scheme, when the product family is a tractor, the product series at least comprises a 6X4 tractor, an 8X4 tractor, a high-top 6X4 tractor, a flat-top 6X4 tractor, a high-top 8X4 tractor and a flat-top 8X4 tractor.
On the basis of the technical scheme, when the product series is 6X4 tractor, the variable family at least comprises oil tank volume, engine horsepower, air storage cylinder volume and air storage cylinder material.
On the basis of the technical scheme, when the variable family is the volume of the oil tank, the variables at least comprise 400L, 600L and 800L; when the family of variables is engine horsepower, the variables include at least 420 horsepower and 560 horsepower; when the variable family is the volume of the air storage cylinder, the variable at least comprises 25L and 35L; when the family of variables is the gas cylinder material, the variables include at least aluminum and iron.
On the basis of the above technical solution, the determining a product series and a selected variable family according to a selection instruction sequentially acting on the device includes:
confirming the selected product family according to a first instruction acting on the equipment;
confirming the selected product family according to a second command acting on the equipment;
the selected family of variables is validated according to a third instruction acting on the device.
On the basis of the above technical solution, the displaying all variables in one variable family, and determining the selected variable according to a selection instruction acting on the device to form module data corresponding to the variable family includes:
displaying all variables in a variable family, and confirming the variables in the variable family according to a fourth instruction acting on the equipment;
and composing the data of the selected variables into the module data.
On the basis of the technical scheme, the selection of the variables of the variable family selected under the product series is completed, module data of all requirements are formed, and automobile BOM data are generated, and the method comprises the following steps:
s41 displays a variable of another of the variable families based on the selected variable and the preset variable interrelation, or,
s42, generating a selection constraint of variables in another variable family according to the selected variables and the preset variable interrelation, wherein the selection constraint is used for limiting the selection of partial variables in another variable family;
s43 repeating steps S41 to S42 to complete the selection of all the selected variables of the variable family;
wherein the variable interrelations comprise consistent and mutually exclusive relationships between variables.
The invention also provides a system for generating BOM data of the automobile, which comprises:
the BOM database comprises all preset optional product families, all product series under the product families and optional variable families under the product series;
the first selection unit determines a product series and a selected variable family according to a selection instruction which acts on equipment in sequence;
a display module for displaying all variables under one of the variable families;
a second selection unit for determining a selected variable according to a selection instruction acting on the device;
the module construction unit is used for forming module data corresponding to the variable family according to the variable selected by the second selection unit; at the same time, the user can select the desired position,
the second selection unit is also used for completing the selection of the variables of the variable family selected under the product series, so that the module construction unit can form module data of all requirements and generate the BOM data of the automobile.
Compared with the prior art, the invention has the advantages that:
the method for generating the BOM data of the automobile divides the automobile into product families and classifies and manages the product series under the product families, which is the basis for generating the BOM data of the automobile, realizes the unified planning and definition of the product, and effectively avoids the development mode of a single automobile type; the product series definition division can effectively reduce the complexity of product configuration combination and improve the uniform speed efficiency of a data system, and meanwhile, the repeated design, trial production, test and assembly verification work of single vehicle type development can be reduced. The method can determine and select a product family meeting the functional requirements, a product series under the product family, a variable family under the product series and variables meeting the requirements in the variable family from the BOM database according to the diversified functional requirements of the client, and combines the module data formed by the selected variables to obtain the automobile BOM data meeting the customized requirements of the client, thereby realizing the universality and the commonality of the customized products.
Drawings
FIG. 1 is a flow chart of a method for generating BOM data for a vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of the BOM data generated by the BOM data generation method in the embodiment of the present invention;
FIG. 3 is a block diagram of an exemplary system for generating BOM data for a vehicle.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, an embodiment of the present invention provides a method for generating car BOM data, where car BOM data is generated based on a BOM system, and english of the BOM is called Bill of Material, and chinese is a "Bill of Material", that is, a structure table or a structure tree of a product or a device that can be identified by a computer. The bill of materials is a detailed record of all the lower-level materials and related attributes used for an item, i.e., the dependencies, unit quantities and other attributes of the parent and all children. The product structure tree organizes various parts of the product according to a certain hierarchical relationship according to the hierarchical relationship of the product, so that the relationship among the parts and components of the product can be clearly described, nodes on the tree represent the parts, components or assemblies, and each node is associated with attribute information such as the drawing number, the material, the specification, the model and the like of the part and related documents. In a product structure tree, a root node represents a product or part, a branch node represents a part or subcomponent, and a leaf node represents a part. The method for generating the BOM data of the automobile comprises the following steps:
s1: constructing a BOM database, namely constructing the content of a structure table or a structure tree in a BOM system, wherein the content comprises all preset optional product families (root nodes), all product series (branch nodes) under the product families and optional variable families (leaf nodes) under the product series; the method comprises the steps of collecting and sorting the types of the existing products and the customized products of the past customers, dividing the products into different product families, and then determining the product series under each product family and the variable families under the product series. And the sorted and classified optional product families, product series and variable families are jointly constructed to form a BOM database, and the constructed BOM database has complete and comprehensive contents and lays a good foundation for generating customized products with diversified customization requirements.
S2: the method comprises the steps of determining a product series required by a customer and requirements on product functions according to the customization requirements of the customer, determining a variable family under the product series according to the functional requirements, determining the product series and the selected variable family by sequentially implementing selection instructions on equipment, and displaying the product series and the selected variable family to the customer.
S3: all variables in a variable family are displayed firstly, the variables meeting the requirements of customers are determined according to different functions corresponding to the variables and the functional requirements of the customers on the customized products, the variables meeting the requirements of the customers are determined and selected through a selection instruction acting on equipment, and the variables form module data corresponding to the variable family.
S4: then according to the requirements of the customer for all different functions of the customized product, determining variables which can meet the requirements of the customer under each variable family, thereby determining and selecting the selection of all the selected variables under the product series through a selection instruction acted on equipment, forming module data corresponding to the variable families by each selected variable, combining all the module data which meet the requirements to generate automobile BOM data which meet the requirements of the customized function of the customer, displaying the automobile BOM data to the customer, enabling the customer to more intuitively know the assembly of all parts of the customized automobile, and when the customer does not meet the customized product, replacing the variables in the generated BOM data at any time, and combining the module data formed by the replaced variables with the original module data of the selected variables to finally form the automobile BOM data which meet the requirements of the customer, the free combination and the universality of the module data formed by each variable are realized without newly selecting from a product family, a product series and a variable family.
According to the automobile BOM data generation method, automobiles are divided into product families, and product series under the product families are classified and managed, so that the method is a basis for generating automobile BOM data, unified planning and definition of products are realized, and a mode of developing a single automobile type is effectively avoided; the product series definition division can effectively reduce the complexity of product configuration combination and improve the uniform speed efficiency of a data system, and meanwhile, the repeated design, trial production, test and assembly verification work of single vehicle type development can be reduced. The method can determine and select a product family meeting the functional requirements, a product series under the product family, a variable family under the product series and variables meeting the requirements in the variable family from the BOM database according to the diversified functional requirements of the client, and combines the module data formed by the selected variables to obtain the automobile BOM data meeting the customized requirements of the client, thereby realizing the universality and the commonality of the customized products.
Optionally, in step S1, a BOM database is constructed, which includes all preset optional product families, all product series under the product family, and optional variable families under the product series, and specifically includes: product families are used for product classification, product families are used for defining the use and driving form of products, and variable families are used for defining the functions and characteristics of products. The following description is given with reference to specific examples:
referring to fig. 2, the product family in the embodiment of the present invention includes tractors, trucks, and machineshop cars. When the product family is tractors, the product series of tractors can be divided into at least 6X4 tractors, 8X4 tractors, high-top 6X4 tractors, flat-top 6X4 tractors, high-top 8X4 tractors and flat-top 8X4 tractors according to the use and driving form of the tractors. The family of variables for a 6X4 tractor includes at least fuel tank volume, engine horsepower, air reservoir volume, and air reservoir material. The tank volume variable family comprises 400L, 600L and 800L variables; the family of engine horsepower variables includes variables of 420 horsepower and 560 horsepower; the air cylinder volume variable group comprises 25L and 35L variables; the family of gas cylinder material variables contains the variables aluminum and iron.
Further, the step S2 of determining the product series and the selected variable family according to the selection command sequentially acting on the equipment includes:
s21: and confirming the selected product family according to a first instruction acting on the equipment, and determining to select one of the tractor, the truck and the engineering vehicle.
S22: and confirming the selected product series according to a second instruction acting on the equipment, determining the product series under the tractor if the tractor is selected, determining the product series under the truck if the truck is selected, and determining the product series under the engineering truck if the engineering truck is selected.
S23: the selected variable family is confirmed in accordance with the third command applied to the plant, and if the 6X4 tractor under the tractor is selected, the variable family under the 6X4 tractor is selected, if the 6X4 truck under the truck is selected, the variable family under the 6X4 truck is selected, and if the 6X4 truck under the truck is selected, the variable family under the 6X4 truck is selected.
The method of the embodiment of the invention sequentially selects the parent part and the child part, determines the product series and the variable family of the whole vehicle which meet the customization requirement in a first stage and a first stage, and clearly develops all stages, and clearly describes the relationship between the child parts under the product family only by three stages.
Further, step S3 displays all variables in a variable family, and determines the selected variables according to the selection command applied to the device to form module data corresponding to the variable family, including:
s31: after a variable family is selected, all variables in the variable family are displayed, and the variables in the variable family are confirmed according to a fourth instruction acting on the equipment; for example, if a cylinder volume variable family is selected, all variables of the cylinder volume variable family are displayed: for example, when the customer requests the weight reduction and fuel saving of the automobile, the variables 25L and 35L are selected by a fourth command applied to the equipment.
S32: the data of the selected variables are composed into module data, and the selected variables 25L are composed into 25L module data.
Further, in step S4, the selection of the variables of the variable family selected under the product family is completed, the module data of all the requirements is formed, and the car BOM data is generated, including:
s41: and displaying the variables of another variable family according to the selected variables and preset variable interrelations, wherein the variable interrelations comprise compatible and mutually exclusive relations among the variables. For example, 1: according to the volume variable 25L of the selected air cylinder, according to the requirements and the limits of production and manufacture, the variables of iron and aluminum in the air cylinder material variable family are compatible with the variables with the volume of 25L of the air cylinder, so that when the air cylinder material variable family is selected, the variables of iron and aluminum are displayed; for example, 2: according to the volume variable 35L of the selected air cylinder and the requirements and limitations of production and manufacture, variable iron in the air cylinder material variable family is repellent to the volume variable 35L of the air cylinder, and variable aluminum in the air cylinder material variable family is compatible with the volume variable 25L of the air cylinder, so that when the air cylinder material variable family is selected, only the variable aluminum is displayed, and the variable iron is hidden (the variable iron cannot be selected because the selection item in the expression form of the variable iron is hidden); alternatively, the first and second electrodes may be,
s42: generating a selection constraint of a variable in another variable family according to the selected variable and a preset variable correlation, wherein the selection constraint is used for limiting and selecting part of variables in the another variable family; as in example 2 above: according to the selected variable 35L of the air cylinder volume and the requirement and limitation of production and manufacture, the variable iron in the air cylinder material variable family is repulsive to the variable 35L of the air cylinder volume, and the variable aluminum in the air cylinder material variable family is compatible with the variable 25L of the air cylinder volume, so that after the variable 35L of the air cylinder volume is selected, the variable aluminum and the variable iron are displayed when the air cylinder material variable family is selected, but the variable iron is restrained from being selected (the variable iron is represented in a manner that the selection item of the variable iron is changed into gray, so that the variable iron cannot be selected).
S43: repeating steps S41-S42, the selection of all the variables of the selected variable family is completed. Thus, when selecting variables, the compatibility and repulsion relationships between the variables under each family of variables is equivalent to combinations that have been partially eliminated, for example: the variable 35L of the air storage cylinder volume is selected, so that only the variable aluminum in the air storage cylinder material can be selected, the complexity of the combination of the variables is reduced, and the combination of the variables is further reduced according to the customized requirements of customers, for example: the variable 25L of the volume of the air storage cylinder is selected, and the variable aluminum and the variable iron in the material of the air storage cylinder can be selected, but only the variable aluminum of the material of the air storage cylinder can be selected in order to meet the requirement of a customer on light weight and oil saving of a product. Therefore, the combination of the volume and the material of the air cylinder is finally selected uniquely, and the selection of the air cylinder is determined. By analogy, the selection of the unique variables in other variable families can be determined, and the module data formed by all the unique variables are combined to generate the unique BOM data meeting the customization requirements.
Referring to fig. 3, an embodiment of the present invention further provides an automobile BOM data generation system, which includes a BOM database, a first selection unit, a display module, a second selection unit, and a module construction unit, where the BOM database includes all preset selectable product families, all product series under the product family, and selectable variable families under the product series; the method comprises the steps of constructing the content of a structure table or a structure tree in a BOM system, determining optional product families, product series and variable families in a BOM database according to the actual product type and the customized products of previous customers, and enabling the content of the BOM database to be more comprehensive so as to generate customized products with diversified customization requirements; the first selection unit determines the product series and the selected variable family according to the selection instruction which acts on the equipment in sequence; the product series and the selected variable family are determined according to the first selection unit, and the root node, the branch node and the leaf node in the structure tree are selected in a unique determination mode, so that the selection and determination of the variables in the variable family are facilitated. The display module is used for displaying all variables in one variable family; the second selection unit is used for determining a selected variable according to a selection instruction acting on the equipment; the module construction unit is used for forming module data corresponding to the variable family according to the variables selected by the second selection unit; meanwhile, the second selection unit is also used for selecting the variables of the variable family selected under the product series so that the module construction unit can form module data of all requirements and generate the BOM data of the automobile.
The automobile BOM data generation system provided by the embodiment of the invention divides automobiles into product families and classifies and manages the product series under the product families, is the basis for generating automobile BOM data, realizes unified planning and definition of products, and effectively avoids the mode of developing single automobile type; the product series definition division can effectively reduce the complexity of product configuration combination and improve the uniform speed efficiency of a data system, and meanwhile, the repeated design, trial production, test and assembly verification work of single vehicle type development can be reduced. The method can determine and select a product family meeting the functional requirements, a product series under the product family, a variable family under the product series and variables meeting the requirements in the variable family from the BOM database according to the diversified functional requirements of the client, and combines the module data formed by the selected variables to obtain the automobile BOM data meeting the customized requirements of the client, thereby realizing the universality and the commonality of the customized products.
The automobile BOM data generation system takes a variable as a middle link, a product series and module data as two independent design interfaces and are respectively associated with the variable to form a basis for configuratively managing a design bill of materials (EBOM), a sales department selects a unique variable from the product series through an after-sales service bill of materials (SBOM) to generate a variable combination of a single exemplary producible vehicle, and a manufacturing department automatically calculates module variant data of the instantiated producible vehicle through background logic of the manufacturing bill of materials (MBOM) system and the variable associated with the module variant and is used for work order, process, production organization, purchase and assembly. Automatic car and data generation are joined in marriage in the change, can effectively improve work efficiency, reduce work repeatability working strength, ensure the error that brings because of the artificial reason of data simultaneously, error rate greatly reduced.
The present invention is not limited to the above-described embodiments, and it will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements are also considered to be within the scope of the present invention. Those not described in detail in this specification are within the skill of the art.

Claims (10)

1. A method for generating BOM data of an automobile is characterized by comprising the following steps:
constructing a BOM database which comprises all preset optional product families, all product series under the product families and optional variable families under the product series;
determining a product series and a selected variable family according to a selection instruction acting on equipment in sequence;
displaying all variables under one variable family, and determining the selected variables according to a selection instruction acting on equipment to form module data corresponding to the variable family;
and finishing the selection of the variables of the selected variable family under the product series, forming module data of all requirements, and generating the BOM data of the automobile.
2. The automotive BOM data generation method of claim 1, wherein the build BOM database includes all selectable product families that are preset, all product families under a product family, and selectable variable families under a product family, including,
the product family is used for product classification, the product family is used for defining the use and driving form of the product, and the variable family is used for defining the function and the characteristic of the product.
3. The method of generating automotive BOM data of claim 2, wherein the product family includes tractors, trucks and technical vehicles.
4. The automobile BOM data generation method of claim 3, wherein when said product family is tractors, said product family includes at least 6X4 tractors, 8X4 tractors, high top 6X4 tractors, flat top 6X4 tractors, high top 8X4 tractors, flat top 8X4 tractors.
5. The method of generating vehicle BOM data of claim 4, wherein said family of variables includes at least tank volume, engine horsepower, air reservoir volume and air reservoir material when said product line is 6X4 tractor.
6. The automotive BOM data generating method as claimed in claim 5, wherein said variables include at least 400L, 600L and 800L when said family of variables is tank volume; when the family of variables is engine horsepower, the variables include at least 420 horsepower and 560 horsepower; when the variable family is the volume of the air storage cylinder, the variable at least comprises 25L and 35L; when the family of variables is the gas cylinder material, the variables include at least aluminum and iron.
7. The method of generating BOM data for a vehicle of claim 1, wherein determining the product family and the selected family of variables according to the selection command acting on the device in turn comprises:
confirming the selected product family according to a first instruction acting on the equipment;
confirming the selected product family according to a second command acting on the equipment;
the selected family of variables is validated according to a third instruction acting on the device.
8. The method for generating BOM data of a vehicle according to claim 1, wherein the displaying all variables in one of the variable families, and determining the selected variables according to a selection command applied to a device to form module data corresponding to the variable family comprises:
displaying all variables in a variable family, and confirming the variables in the variable family according to a fourth instruction acting on the equipment;
and composing the data of the selected variables into the module data.
9. The method of generating vehicle BOM data according to claim 8, wherein said selecting variables from a selected family of variables from the product family, forming module data for all requirements, and generating vehicle BOM data comprises:
s41 displays a variable of another of the variable families based on the selected variable and the preset variable interrelation, or,
s42, generating a selection constraint of variables in another variable family according to the selected variables and the preset variable interrelation, wherein the selection constraint is used for limiting the selection of partial variables in another variable family;
s43 repeating steps S41 to S42 to complete the selection of all the selected variables of the variable family;
wherein the variable interrelations comprise consistent and mutually exclusive relationships between variables.
10. An automotive BOM data generation system, comprising:
the BOM database comprises all preset optional product families, all product series under the product families and optional variable families under the product series;
the first selection unit determines a product series and a selected variable family according to a selection instruction which acts on equipment in sequence;
a display module for displaying all variables under one of the variable families;
a second selection unit for determining a selected variable according to a selection instruction acting on the device;
the module construction unit is used for forming module data corresponding to the variable family according to the variable selected by the second selection unit; at the same time, the user can select the desired position,
the second selection unit is also used for completing the selection of the variables of the variable family selected under the product series, so that the module construction unit can form module data of all requirements and generate the BOM data of the automobile.
CN201911311676.1A 2019-12-18 2019-12-18 Automobile BOM data generation method and system Pending CN111126906A (en)

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Publication number Priority date Publication date Assignee Title
CN111652489A (en) * 2020-05-26 2020-09-11 浙江师范大学 BOM-driven intelligent manufacturing service task decomposition method and system
CN111652489B (en) * 2020-05-26 2023-06-20 浙江师范大学 BOM-driven intelligent manufacturing service task decomposition method and system
CN112053048A (en) * 2020-08-26 2020-12-08 杭州新中大科技股份有限公司 System and method for configuring parameterized product in large-scale customized production mode
CN112651692A (en) * 2021-01-29 2021-04-13 启明信息技术股份有限公司 Production material distribution method based on vehicle BOM tree structure analysis
CN113177382A (en) * 2021-04-28 2021-07-27 百富计算机技术(深圳)有限公司 Product and circuit board design method and device thereof, computing equipment and storage medium
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CN113379291A (en) * 2021-06-25 2021-09-10 东风柳州汽车有限公司 Trial-loading automation method, device, equipment and storage medium
CN113379291B (en) * 2021-06-25 2022-12-06 东风柳州汽车有限公司 Trial-assembling automation method, device, equipment and storage medium
CN113742423A (en) * 2021-08-23 2021-12-03 东风柳州汽车有限公司 Vehicle type BOM data processing method and device and storage medium
CN113742423B (en) * 2021-08-23 2023-09-19 东风柳州汽车有限公司 Vehicle type BOM data processing method and device and storage medium

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Application publication date: 20200508