CN112837011B - Fine management method based on multi-stage material storage - Google Patents
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Abstract
The invention relates to the technical field of warehouse management, and discloses a refined management method based on multi-stage material warehouse, which comprises the following steps: utilizing the characteristics of a multi-stage material storage structure, constructing a set of multi-stage storage data model at a system level, dividing from an original material inlet according to a material distribution level, a receiving level or a processing level to form a set of multi-stage tree structure with father-son relationship, wherein each storage unit is regarded as one storage node in the structure; in the invention, the system realizes a data cross automatic checking method based on the OLTP online transaction processing technology: the method can realize automatic data verification and generate independent warehouse data by performing double calculation on data processing logic between every two warehouse units, and simultaneously, when a large number of data processing operations occur, the method can early warn based on the independent warehouse data in real time as far as possible.
Description
Technical Field
The invention relates to the technical field of warehouse management, in particular to a refined management method based on multi-stage material warehouse.
Background
Many businesses, units, or individuals involved in warehousing of materials use warehouse management systems. The traditional warehouse management system aims at the problem that the circulation and operation of materials are unidirectional, namely, the data positions of the materials are single logically, and the system is extremely easy to generate inventory data inventory and inventory depletion under the condition of multiple warehouse levels and complicated material in-out and allocation, and the uncertain factors of human management are added, so that the material warehouse data of enterprises can not be consistent all the time, and the fates of manual adjustment are eliminated.
In fact, modern data management technology is mature, the warehouse industry is used as the field with large material data traffic and strong real-time performance, the OLTP technology is widely applied, and the method mainly comprises adding, deleting and changing recorded data. In the state of domestic material warehouse management, the matched basic facilities of the warehouse management system for full-automatic material circulation are huge and incomparable with hardware facilities, the manufacturing cost is high, the warehouse in most industries and fields is still in a man-machine cooperative state in fact, in other words, in the mode, the information of the material and the information of data action flow, once the operation partition in time or space exists, unavoidable information differences occur, such as most warehouse systems, the entry and exit accounts are often separated, the management staff of the complex multi-stage warehouse systems are scattered, the operation maturity of the systems is different by manpower, and the application effect of the systems is basically the same.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a refined management method based on multi-stage material storage, which solves the problems in the prior art.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions: a refinement management method based on multi-stage material storage, the method includes:
utilizing the characteristics of a multi-stage material storage structure, constructing a set of multi-stage storage data model at a system level, dividing from an original material inlet according to a material distribution level, a receiving level or a processing level to form a set of multi-stage tree structure with father-son relationship, wherein each storage unit is regarded as one storage node in the structure;
constructing a separate database table system for each of the warehousing nodes;
defining all possible material actions for the material of the storage node, such as purchasing, receiving, processing, consuming, allocating, borrowing and returning;
dividing all the material actions into three major categories according to the OLTP data processing actions, and defining the major categories as 'in', 'out', 'translating', wherein the 'in' action refers to the material action reaching the storage unit; the 'out' action refers to the action of the materials flowing out from the storage unit; the translation action refers to material transfer or exchange actions which can be performed on the storage units with the same upper node;
the data processing action broad category may include a plurality of data actions, such as "enter" actions, may include purchasing, receiving, etc.; the "out" action may include consumption, return, etc.; the "translation" action may include dialing, borrowing, moving in, out, etc.;
the system defines the 'in' and the 'out' as serial data actions and the 'translation' as parallel data actions according to the actual warehouse material circulation process, and develops two OLTP monitoring programs series data manager based on a log monitoring technology, and monitors only the serial data actions; parallel data manager, the "enter" monitors for serial data actions;
based on the construction of the model, the system internally forms a claw-shaped structure consisting of storage unit nodes and the data processing action major class, all the nodes are connected together to form a multi-stage storage mesh model, and the data processing action major class is associated between every two nodes on the multi-stage storage mesh model.
Preferably, a method for fine management based on multi-stage material storage, the operation logic of the system comprises:
the material 'feeding' action of one storage unit can only come from one unique upper unit, and the system can perform the uniqueness check, so that the material crossing the upper unit is not allowed to enter the unit; the material outlet action corresponds to a lower unit of the storage unit, and goes to a non-unique state, and the system only checks whether the material outlet is the lower unit of the unit; the material translation action refers to material exchange action between storage units with the same upper node;
when the material is fed into and discharged from the storage unit of each node under a serial chain, the material action support is reversible, such as material returning and returning (except for consumption type or processing type material); the reverse processing of the top node provides an open interface to be in butt joint with a third party system because the reverse processing of the top node straddles the warehousing system and involves the inter-system actions;
when the material is translated for the storage units with the same unique upper node, the system directly performs OLTP data processing according to the material action; when the storage units without the same unique upper node do 'translation', the system triggers the restrictive reminding and automatically initiates an approval process developed based on the RPA technology, serial logic retrieval is carried out by the SDM program, the system backups until the storage units with the same unique upper node are provided with two nodes, and administrators of the two nodes are reminded to carry out approval. If both administrators agree, performing 'translation' on the materials under the hierarchy, and simultaneously, performing corresponding 'in' or 'out' on all intermediate associated nodes in the tracing process;
SDM is used to manage all data processing logic of node up or down and to perform up and down double calculation check; the PDM is used for managing all data logics among the node parallels and performing double-calculation verification among the parallels; under the monitoring of the SDM program, the stock data of the stock storage units follow Sum stock = Sum in-Sum out; under the PDM procedure, all nodes (e.g., secondary, tertiary) at the same level should follow Sum in=sum out; the data processing action of each node is monitored and operated by SDM and PDM, and meanwhile, based on the threshold setting of the system for the data stored in each node, the system alarm or reminding is triggered in real time;
the SDM can realize the data balance of materials in logic positions aiming at all storage units; the SDM-based data processing logic can realize automatic data verification, and through data verification comparison of upper and lower nodes, loss, transportation loss and artificial loss in the process of automatic accounting can be effectively avoided in application, meanwhile, the calling times of the SDM can reflect the actual material utilization condition or evaluate the flourishing degree of the production process;
the PDM is mainly applied to the data flow processing among the parallel units, namely, the early warning of stock material data of the storage unit and the approval of material exchange, and meanwhile, the PDM can also be in data butt joint with an asset inventory system of an enterprise, so that the fine management of storage is further enhanced (an external support open interface can be used for butt joint with a hand-held inventory terminal, and a manual input mode can also be used);
the SDM and the PDM can realize effective traceability of the storage material data through the cooperative cooperation of the material data in series connection and parallel connection.
Preferably, the material original entry refers to a top level node.
Preferably, the method is applied to a warehouse system in which at least three layers of material warehouse structures exist.
Preferably, series data manager is a serial data manager, abbreviated as SDM, parallel data manager is a parallel data manager, abbreviated as PDM.
(III) beneficial effects
The invention provides a refined management method based on multi-stage material storage, which has the following beneficial effects:
(1) In the invention, the system realizes a data cross automatic checking method based on the OLTP online transaction processing technology: the method can realize automatic data verification and generate independent warehouse data by performing double calculation on data processing logic between every two warehouse units, and simultaneously, when a large number of data processing operations occur, the method can early warn based on the independent warehouse data in real time as far as possible.
Drawings
FIG. 1 is a schematic diagram of a typical multi-stage material warehouse model structure of the present invention;
FIG. 2 is a schematic diagram of material transfer under a multi-stage material storage model according to the present invention;
FIG. 3 is a diagram of a mesh model of a multi-stage material warehousing system based on a claw structure according to the present invention;
FIG. 4 is a diagram of a mesh model of the synergistic mechanism of SDM and PDM under a move motion of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1-4, the present invention provides a technical solution: a fine management method based on multi-stage material storage comprises the following steps:
utilizing the characteristics of a multi-stage material storage structure, constructing a set of multi-stage storage data model at a system level, dividing from an original material inlet according to a material distribution level, a receiving level or a processing level to form a set of multi-stage tree structure with father-son relationship, wherein each storage unit is regarded as one storage node in the structure;
constructing a separate database table system for each storage node;
defining all possible material actions for the material of the storage node, such as purchasing, receiving, processing, consuming, allocating, borrowing and returning;
dividing all the material actions into three major categories according to the OLTP data processing actions, and defining the major categories as 'in', 'out', 'translating', wherein the 'in' action refers to the material action reaching the storage unit; the 'out' action refers to the action of the materials flowing out from the storage unit; the translation action refers to a material transfer or exchange action which can be performed for a storage unit with the same upper node;
the data processing action broad category may include a plurality of data actions, such as "enter" actions, may include purchasing, receiving, etc.; the "out" action may include consumption, return, etc.; the "translation" action may include dialing, borrowing, moving in, out, etc.;
according to the actual warehouse material circulation process, the system defines 'in' and 'out' as serial data actions, defines 'translation' as parallel data actions, develops two OLTP monitoring programs series data manager based on a log monitoring technology, and monitors only the serial data actions; parallel data manager, "enter" monitors for serial data actions;
based on the construction of the model, the system internally forms a claw-shaped structure consisting of storage unit nodes and data processing action major categories, all the nodes are connected together to form a multi-stage storage mesh model, and the data processing action major categories are associated between every two nodes on the multi-stage storage mesh model.
Further, a refinement management method based on multi-stage material storage, the operation logic of the system comprises:
the material 'feeding' action of one storage unit can only come from one unique upper unit, and the system can perform the uniqueness check, so that the material crossing the upper unit is not allowed to enter the unit; the material outlet action corresponds to a lower unit of the storage unit, and goes to a non-unique state, and the system only checks whether the material outlet is the lower unit of the unit; the material translation action refers to material exchange action between storage units with the same upper node;
when the material is fed into and discharged from the storage unit of each node under a serial chain, the material action support is reversible, such as material returning and returning (except for consumption type or processing type material); the reverse processing of the top node provides an open interface to be in butt joint with a third party system because the reverse processing of the top node straddles the warehousing system and involves the inter-system actions;
when the material is translated for the storage units with the same unique upper node, the system directly performs OLTP data processing according to the material action; when the storage units without the same unique upper node do 'translation', the system triggers the restrictive reminding and automatically initiates an approval process developed based on the RPA technology, serial logic retrieval is carried out by the SDM program, the system backups until the storage units with the same unique upper node are provided with two nodes, and administrators of the two nodes are reminded to carry out approval. If both administrators agree, performing 'translation' on the materials under the hierarchy, and simultaneously, performing corresponding 'in' or 'out' on all intermediate associated nodes in the tracing process;
SDM is used to manage all data processing logic of node up or down and to perform up and down double calculation check; the PDM is used for managing all data logics among the node parallels and performing double-calculation verification among the parallels; under the monitoring of the SDM program, the stock data of the stock storage units follow Sum stock = Sum in-Sum out; under the PDM procedure, all nodes (e.g., secondary, tertiary) at the same level should follow Sum in=sum out; the data processing action of each node is monitored and operated by SDM and PDM, and meanwhile, based on the threshold setting of the system for the data stored in each node, the system alarm or reminding is triggered in real time;
the SDM can realize the data balance of materials in logic positions aiming at all storage units; the SDM-based data processing logic can realize automatic data verification, and through data verification comparison of upper and lower nodes, loss, transportation loss and artificial loss in the process of automatic accounting can be effectively avoided in application, meanwhile, the calling times of the SDM can reflect the actual material utilization condition or evaluate the flourishing degree of the production process;
the PDM is mainly applied to the data flow processing among the parallel units, namely, the early warning of stock material data of the storage unit and the approval of material exchange, and meanwhile, the PDM can also be in data butt joint with an asset inventory system of an enterprise, so that the fine management of storage is further enhanced (an external support open interface can be used for butt joint with a hand-held inventory terminal, and a manual input mode can also be used);
the SDM and the PDM can realize effective traceability of the storage material data through the cooperative cooperation of the material data in series connection and parallel connection.
Further, the raw material entry refers to a top level node.
Further, the method is applied to a warehouse system with at least three layers of material warehouse structures.
Further, series data manager is a serial data manager, abbreviated as SDM, parallel data manager is a parallel data manager, abbreviated as PDM.
To sum up, the workflow of the invention: the method comprises the steps of carrying out modularized monitoring on storage units in a multi-stage material storage mechanism, carrying out data processing logic classification on material processing actions of the modularized storage units, carrying out physical modeling on the data processing actions of the logic classification, forming a logic mesh map of material circulation of the storage units, carrying out real-time dynamic data monitoring on the storage units between upper and lower stages or between parallel stages by means of a mesh map formed by the storage units and a monitoring engine, further realizing dynamic data accounting and monitoring of the whole multi-stage material storage system, and realizing real-time early warning and reminding management personnel to carry out timely storage allocation according to data operand and occurring unit positions on a logic mesh structure.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A fine management method based on multi-stage material storage is characterized in that: the method comprises the following steps:
utilizing the characteristics of a multi-stage material storage structure, constructing a set of multi-stage storage data model at a system level, dividing from an original material inlet according to a material distribution level, a receiving level or a processing level to form a set of multi-stage tree structure with father-son relationship, wherein each storage unit is regarded as one storage node in the structure, and the original material inlet is a top-level node;
constructing a separate database table system for each of the warehousing nodes;
defining all material actions for the material of the storage node, including purchasing, receiving, processing, consuming, allocating, borrowing and returning;
dividing all the material actions into three major categories according to the OLTP data processing actions, and defining the major categories as 'in', 'out', 'translating', wherein the 'in' action refers to the material action reaching the storage unit; the 'out' action refers to the action of the materials flowing out from the storage unit; the translation action refers to material transfer or exchange actions which can be performed on the storage units with the same upper node;
the data processing action category comprises a plurality of data actions, and the 'enter' action comprises purchasing and receiving; the "out" action includes consumption, return; the "translation" action includes dialing, borrowing, moving in and out;
the system defines the 'in' and the 'out' as serial data actions and the 'translation' as parallel data actions according to the actual warehouse material circulation process, and develops two OLTP monitoring programs series data manager based on a log monitoring technology, and monitors only the serial data actions; parallel data manager; the series data manager is a serial data manager, SDM for short, and the parallel data manager is a parallel data manager, PDM for short;
based on the construction of the model, the system internally forms a claw-shaped structure consisting of storage unit nodes and the data processing action major class, all the nodes are connected together to form a multi-stage storage net model, and the data processing action major class is associated between every two nodes on the multi-stage storage net model;
the operating logic of the system comprises:
the material 'feeding' action of one storage unit can only come from one unique upper unit, and the system can perform the uniqueness check, so that the material crossing the upper unit is not allowed to enter the unit; the material outlet action corresponds to a lower unit of the storage unit, and goes to a non-unique state, and the system only checks whether the material outlet is the lower unit of the unit; the material translation action refers to material exchange action between storage units with the same upper node;
when the storage units of each node under a serial chain are used for carrying out material 'in' and 'out', the material actions support reversibility, and reversible material actions comprise material returning and returning, wherein the consumption type or processing type materials are excluded; the reverse processing of the top node provides an open interface to be in butt joint with a third party system because the reverse processing of the top node straddles the warehousing system and involves the inter-system actions;
when the material is translated for the storage units with the same unique upper node, the system directly performs OLTP data processing according to the material action; when the storage units without the same unique upper node do 'translation', the system triggers a restrictive reminding and automatically initiates an approval process developed based on the RPA technology, serial logic retrieval is performed by an SDM program, the system backups until two nodes with the same upper node are provided, administrators of the two nodes are reminded to carry out approval, if the administrators of the two nodes agree, the system carries out 'translation' on materials under the nodes, and meanwhile, corresponding 'in' or 'out' is carried out on all intermediate associated nodes in the backtracking process;
SDM is used to manage all data processing logic of node up or down and to perform up and down double calculation check; the PDM is used for managing all data logics among the node parallels and performing double-calculation verification among the parallels; under the monitoring of the SDM program, the stock data of the stock storage units follow Sum stock = Sum in-Sum out; under the PDM procedure, all nodes at the same level should follow Sum in=sum out; the data processing action of each node is monitored and operated by SDM and PDM, and meanwhile, based on the threshold setting of the system for the data stored in each node, the system alarm or reminding is triggered in real time;
the SDM can realize the data balance of materials in logic positions aiming at all storage units; the SDM-based data processing logic can realize automatic data verification, and through data verification comparison of upper and lower nodes, loss, transportation loss and artificial loss in the process of automatic accounting can be effectively avoided in application, meanwhile, the calling times of the SDM can reflect the actual material utilization condition or evaluate the flourishing degree of the production process;
the PDM is used for carrying out data transfer processing on the parallel units, including early warning of stock material data of the storage unit, approval of material exchange and data butt joint with an asset inventory system of an enterprise, so that fine management of storage is further enhanced;
the SDM and the PDM can realize effective traceability of the storage material data through the cooperative cooperation of the material data in series connection and parallel connection.
2. The method for finely managing the storage of the multi-stage materials according to claim 1, wherein the method comprises the following steps: the method is applied to a warehouse system with at least three layers of material warehouse structures.
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