CN103279613B - High-precision complex product assembly material automatic kitting method - Google Patents

High-precision complex product assembly material automatic kitting method Download PDF

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CN103279613B
CN103279613B CN201310215241.3A CN201310215241A CN103279613B CN 103279613 B CN103279613 B CN 103279613B CN 201310215241 A CN201310215241 A CN 201310215241A CN 103279613 B CN103279613 B CN 103279613B
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assembly
product
supporting
piece
information
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CN103279613A (en
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薛善良
李建平
韦青燕
刘玉广
左敦稳
徐海
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Nanjing University of Aeronautics and Astronautics
Nanjing Chenguang Group Co Ltd
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Nanjing University of Aeronautics and Astronautics
Nanjing Chenguang Group Co Ltd
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Abstract

A kind of high-precision complex product assembly material automatic kitting method, is characterized in that extracting non-structured assembling cad model information, the structurized Product Assembly BOM of automatic fast creation by recursive algorithm traversal; By the iteration to each node layer of assembly BOM, automatically calculate material need for independence and material related needs, quick and precisely generate material demand schedule; By the fractionation of material requirement table, material requistion automatic flow, online label are examined, material requistion part is registered, RFID identifies, so that complete set of materials requisition; Read by the supporting table of assembly BOM iteration, complete set of materials requisition list and material, automatic accurate calculating material Short Item inventory; By the supporting order of particle cluster algorithm intelligent optimization, carry out material fast and optimize supporting; Identified by RFID easily, carry out material information and automatically gather and automatically follow the tracks of with material single-piece; By many condition combination in any fuzzy query, the material carrying out product overlaps information fast query together.The present invention can improve the robotization and intellectuality that assembly material overlaps together, shortens installation time.

Description

High-precision complex product assembly material automatic kitting method
Technical field
The present invention relates to a kind of electronic product assembling manufacturing technology, especially a kind of assembly material automatic kitting method towards high-precision complex product, by the assembly BOM of structure-oriented complex product, it builds that the complete demand of assembly material calculates automatically automatically, material complete receive singly automatically to generate, material single-piece is followed the tracks of automatically, material supporting order intelligent optimization, the supporting table of material generate automatically, material overlaps inventory programming count together, material Short Item inventory programming count, material overlap information inquiry together, a kind of specifically high-precision complex product assembly material automatic kitting method.
Background technology
The safety and reliability of the high-precision complex product such as Aeronautics and Astronautics, military project requires all very high, and its structure is often very complicated, its structure composition comprises the multilevel hierarchies such as parts, subassembly, assembly, part, containing polytypes such as self-made components, cooperation part, outsourcing piece, standard component, instrument and equipments, involved assembly material enormous amount, the final supporting table of material generated is extremely complicated.Therefore, it is very big that the material that Product Assembly is produced overlaps work difficulty together.And material can not overlap in time together, the supporting order of material is unreasonable, the supporting table of material exists the factors such as mistake, all producing the on-stream time of each link and the assembly period of whole product by directly affecting Product Assembly, finally affecting product agility response marketability.Meanwhile, material overlaps the important component part that the supporting table of generated material is product log together, is the important evidence of after services of product and follow-up of quality, needs file and review inquiry.
At present, the Assembling Production of the high-precision complex product such as Aeronautics and Astronautics, military project mostly adopts traditional manual mode to carry out assembly material to overlap together, the main businesses such as assembly BOM gathers, the complete demand of assembly material calculates, completely receive single establishment, material requistion is examined according to label, the registration of material requistion part, supporting, the supporting table generation of material of assembly material, Short Item invoice summary, the supporting table of material are consulted are carried out all to manually, preserve with a large amount of paper documents.This traditional assembly material overlap together method also exist that automaticity is low, hand computation amount is huge, fill in extremely many, the supporting orders of document unreasonable, browse search paper document extremely difficult, very easily occur that mistake, assembly material overlap the problems such as efficiency is extremely low together.Not only consume a large amount of Assembling Production setup time, and had a strong impact on after services of product quality and follow-up of product quality ability, finally hinder the raising of product agility response marketability.
At present, automation tools and information-based means all have application in various degree at the design of enterprise, manufacture and management aspect, effectively improve the Design and manufacture efficiency of product, significantly reduce production cost.But, according to the knowledge of the applicant, there is no one at present complete the assembly BOM towards high-precision complex product build automatically, the complete demand of assembly material calculates automatically, material complete receive singly automatically to generate, material single-piece is followed the tracks of automatically, material supporting order intelligent optimization, the supporting table of material generate automatically, material overlaps inventory programming count together, material Short Item inventory programming count, material overlap information inquiry together method can use for reference for people.
Summary of the invention
The automaticity that the object of the invention is to exist in the Assembling Production process for the high-precision complex product such as existing Aeronautics and Astronautics, military project is low, hand computation amount is huge, fill in extremely many, the supporting orders of document unreasonable, browse search paper document extremely difficult, very easily occur that mistake, assembly material overlap the deficiencies such as efficiency is extremely low together, invent a kind of high-precision complex product assembly material automatic kitting method., for automatic, efficient, the accurate neat cover of Product Assembly material provides effective measures.
Technical scheme of the present invention is:
A kind of high-precision complex product assembly material automatic kitting method, is characterized in that comprising the following steps:
First, according to the model batch information of product to be assembled, from PDM system, assembling cad model is transferred by technological design personnel, and by calling CAD second development interface program, application recursive algorithm travels through non-structured cad model file, batch reads the base attribute information of the structural topology information of cad file and parts, part, standard component, automatically creates structurized assembly material and assembly BOM, stored in the AIRM_DB of assembly material neat sets of data storehouse by program;
The second, new single product numbering and the new supporting numbering of material are generated respectively to every part product to be assembled, sets up single product and number mapping relations between the supporting numbering of material, make every part product to be assembled and the supporting RFID label tag of material; According to assembly BOM hierarchical structure, by the program successively independent material demand of the every part of iterative computation product to be assembled and correlative demand, automatically generate the complete demand schedule of assembly material, set up the mapping relations of the supporting numbering of product material and the complete demand schedule of material.
3rd, in the Assembling Production preparatory stage, handling of goods and materials personnel choose material and carry out complete receiving from the complete demand schedule of assembly material, programming automatic generation complete set of materials requisition list, automatic record-keeping system is single, make single temporal information, automatic generation neck material RFID label tag, and start Assembling Production complete set of materials requisition on-line approval flow process; By related personnel on the net to carry out to complete set of materials requisition list label careful;
4th, Central Storage carries out material granting according to the online complete set of materials requisition document examined of signing, and the single-piece information of material is provided in registration, the RFID label tag of fabrication material list part; Program automatically record material single-piece go out to put whereabouts in storage, automatically safeguard stock material quantity and go out to put account in storage;
5th, in the Assembling Production stage, handling of goods and materials personnel run material allocation function module, and program reads the Short Item inventory of assembly BOM, complete set of materials requisition list and the supporting table of material successively iterative computation product to be installed each layer BOM node; Using artificial intellectual technology, adopts particle cluster algorithm to optimize the supporting order of material; According to the supporting order of material optimized, automatically led material single-piece is supporting to each single product to be assembled one by one, set up with the supporting supporting table of material being numbered each single product of unique index of material, record the supporting whereabouts of each material single-piece, be saved in database AIRM_DB;
6th, assembling teams and groups carry out the assembling of neck material according to the supporting table of material, adopt RFID radio frequency identification material single-piece, material single-piece is assembled, exchanges and scrap operation, the assembling of program record material single-piece, exchange and scrap information, the supporting whereabouts of automatic registration each material single-piece, upgrade the supporting table of material automatically;
7th, after Product Assembly completes, the supporting table of material of each single product is centralized and unified to be stored in the AIRM_DB of assembly material neat sets of data storehouse; The material that related personnel can be each single product of condition fast query with single product RFID, material single-piece RFID, material code or name of material at any time overlaps information and material single-piece whereabouts together.
Many condition combination in any is supported in described inquiry, and support fuzzy query, Query Result exports with Excel file.
Described single-piece information comprises production batch, factory number, the term of validity and Quantity Shipped.
Beneficial effect of the present invention:
The Assembling Production of the high-precision complex products such as Aviation of the present invention, space flight, military project, solve material overlap that automaticity existing for method is low, hand computation amount is huge together, fill in extremely many, the supporting orders of document unreasonable, browse search paper document extremely difficult, very easily occur that mistake, assembly material overlap the extremely low problem of efficiency together, have process automatically, efficient, the Intelligent Optimal of operation, calculating accurately, inquire about feature easily.Application the inventive method, extracts non-structured assembling cad model information by recursive algorithm traversal, the structuring assembly BOM of each model of automatic fast creation batch; By the iterative computation to each node layer of assembly BOM, automatically gather material need for independence and material related needs, quick and precisely generate material demand schedule; By the fractionation of material requirement table, material requistion automatic flow, online label are examined, material requistion part is registered, RFID identifies, carries out the complete set of materials requisition of convenient and efficient; Read by the supporting table of assembly BOM iteration, complete set of materials requisition list and material, automatic accurate calculating material Short Item inventory; By the supporting order of application particle cluster algorithm intelligent optimization, carry out material fast and optimize supporting; Identified by RFID easily, carry out material information and automatically gather and automatically follow the tracks of with material single-piece; By many condition combination in any fuzzy query, the material carrying out product overlaps information fast query together.The application of the inventive method achieves the robotization and intellectuality that high-precision complex product assembly material overlaps together, greatly reduce hand computation amount, the document amount of filling in that material overlaps together, sign the time of examining, mistake and inquiry workload, greatly reduce material and overlap time and cost together, finally shorten installation time and the service time of product, and improve the quick responding ability of product, Quality traceability and good service ability.
Accompanying drawing explanation
Fig. 1 is assembly material automatic kitting system topology figure.
Fig. 2 is assembly material automatic kitting system software structure figure.
Fig. 3 is assembly material automatic kitting mathematical logic relation.
Fig. 4 is assembly BOM guiding flow.
To be that material is complete receive flow process to Fig. 5.
Fig. 6 is the supporting flow process of material.
Fig. 7 is supporting sequential optimization flow process.
Fig. 8 is inventory disposal flow process.
Fig. 9 is inventory disposal flow process.
Figure 10 overlaps querying flow together.
Figure 11 is the main interface of the neat cover system of material.
Figure 12 is that assembly BOM imports interface.
Figure 13 is that complete the receiving of assembly material singly generates interface.
Figure 14 is that interface chosen by the complete material of receiving of assembly material.
Figure 15 is that complete the receiving of assembly material examines interface.
Figure 16 be assembly material complete receive delivery interface.
Figure 17 is the supporting interface of assembly material.
Figure 18 is supporting sequential optimization interface.
Figure 19 is that interface is scrapped in the exchange of assembly material auxiliary materials.
Figure 20 is that material overlaps information inquiry material together and joins table display interface.
Figure 21 is that material overlaps information inquiry Short Item inventory display interface together.
Embodiment
Below in conjunction with drawings and Examples, the present invention is further illustrated.
As shown in Fig. 1-2 1.
A kind of high-precision complex product assembly material automatic kitting method, it comprises the following steps:
The first, according to the model batch information of product to be assembled, from PDM system, transfer assembling cad model by technological design personnel.Call CAD second development interface program, application recursive algorithm travels through non-structured cad model file, batch reads the base attribute information of the structural topology information of cad file and parts, part, standard component, automatically structurized assembly material and assembly BOM is created, stored in the AIRM_DB of assembly material neat sets of data storehouse by program.
The second, new single product numbering and the new supporting numbering of material are generated respectively to every part product to be assembled, sets up the mapping relations between single product numbering with the supporting numbering of material, making single product and the supporting RFID label tag of material.According to assembly BOM hierarchical structure, by the program successively independent material demand of iterative computation product to be assembled and correlative demand, automatically generate the complete demand schedule of assembly material, set up the mapping relations of the supporting numbering of product material and the complete demand schedule of material.
3rd, in the Assembling Production preparatory stage, handling of goods and materials personnel choose material and carry out complete receiving from the complete demand schedule of material, programming automatic generation complete set of materials requisition list, the information such as automatic record-keeping system is single, system single time, automatic generation neck material RFID label tag, and start Assembling Production complete set of materials requisition on-line approval flow process.Related personnel is on the net to carry out to complete set of materials requisition list label careful.
4th, Central Storage carries out material granting according to the online complete set of materials requisition document examined of signing, and the single-piece information (production batch, factory number, the term of validity, Quantity Shipped) of material is provided in registration, the RFID label tag of fabrication material list part.Program automatically record material single-piece go out to put whereabouts in storage, automatically safeguard stock material quantity and go out to put account in storage.
5th, in the Assembling Production stage, handling of goods and materials personnel run material allocation function module, and program reads the Short Item inventory of assembly BOM, complete set of materials requisition list and the supporting table of material successively iterative computation product to be installed each layer BOM node.Using artificial intellectual technology, adopts particle cluster algorithm to optimize the supporting order of material.According to the supporting order of material optimized, automatically led material single-piece is supporting to each single product to be assembled one by one, set up with the supporting supporting table of material being numbered each single product of unique index of material, record the supporting whereabouts of each material single-piece, be saved in database AIRM_DB.
6th, assembling teams and groups carry out the assembling of neck material according to the supporting table of material, adopt RFID radio frequency identification material single-piece, material single-piece is assembled, exchanges and scrap operation, the assembling of program record material single-piece, exchange and scrap information, the supporting whereabouts of automatic registration each material single-piece, upgrade the supporting table of material automatically.
7th, after Product Assembly completes, the supporting table of material of each single product is centralized and unified to be stored in the AIRM_DB of assembly material neat sets of data storehouse.Related personnel can overlap information and material single-piece whereabouts by the material of each single products of condition fast query such as single product RFID, material single-piece RFID, material code, name of material at any time together.Many condition combination in any is supported in inquiry, supports fuzzy query.The Excel file of the exportable specific format of Query Result.
Hardware of the present invention comprises server, client computer, computer network, RFID label tag, rfid interrogator, and software of the present invention is made up of four major parts: (1) complete module, (3) assembly material companion module, the (4) material received of assembly BOM importing module, (2) assembly material overlaps information inquiry module together.
Details are as follows:
The present invention realizes by RFID technique application and four software modules, and they are: (1) complete module, (3) assembly material companion module, the (4) material received of assembly BOM importing module, (2) assembly material overlaps information inquiry module together.Below introduced respectively:
(1) system architecture
Fig. 1 is assembly material automatic kitting system topology, comprise server, client computer, network, RFID label tag and rfid interrogator, be deployed in the application places that assembly line, assembling storehouse, Central Storage, administrative authority etc. are different, connect intercommunication by network equipments such as switch, integrator, gateways.Wherein, RFID label tag and rfid interrogator are used for realizing product, material, the information such as supporting automatically identifies and gather.Fig. 2 is assembly material automatic kitting system software structure figure, comprises application layer, supporting layer and data Layer.Wherein, application layer is the main functionality module of the inventive method, comprises that assembly BOM imports, assembly material is completely received, assembly material is supporting, material overlaps information inquiry four major part together, overlaps robotization and the intellectuality of business for realizing assembly material together.Fig. 3 is assembly material automatic kitting mathematical logic relation, comprises the data object such as assembly material, assembly BOM, model batch, material requirement table, complete set of materials requisition list, material single-piece, the supporting table of material, single product, assembly crewman, the record of label audits and compliance.Wherein, the data such as assembly material, complete set of materials requisition list, material single-piece, the supporting table of material, single product, operating personnel have RFID attribute, for the automatic collection of information and entity from motion tracking.
(2) assembly BOM imports
This module transfers non-structured assembling cad model file from PDM system, call CAD second development interface program, application recursive algorithm travels through non-structured cad model file, batch reads the base attribute information of the structural topology information of cad file and parts, part, standard component, automatically structurized assembly material and assembly BOM is created, stored in the AIRM_DB of assembly material neat sets of data storehouse by program.Assembly BOM guiding flow as shown in Figure 4, comprises the following steps:
A, user's login process.Authorized user inputs the user name and password through login interface, logs in unsuccessfully to exit module.Login successfully, enter assembling cad model and import.
After b, user's Successful login, import non-structured assembling cad model file by CAD second development interface.Read the product essential information (coding, title, model, batch etc.) that cad model comprises, create model batch object and product object, establishment model batch object and product object annexation object.Be parameter with product object, enter understructure information and read.
The structural topology information of c, reading input object, essential information (coding, title, specification, material etc.) and the composing quantity of its each ingredient is read in circulation successively.According to read attribute information, create structurized parts respectively, part obtains standard component object, with the composition object of input object, new Object and the composing quantity structurized assembly BOM for parameter creates.If new Object is parts, then recursive call understructure information reads; Otherwise, continue circulation and perform to the essential information reading of all constituents complete.
(3) assembly material is complete receives
This module reads each node layer of assembly BOM of product to be assembled, the independent material demand of iterative computation product to be assembled and correlative demand, gathers and generates assembly material demand schedule.Split material requirement table and create cover material requistion, material requistion automatic flow carries out material granting with online label are post-trial.Assembly material is complete receives flow process as schematically shown in Figure 5, comprises the following steps:
A, new single product numbering and the new supporting numbering of material are generated respectively to every part product to be assembled, make RFID label tag respectively, set up the mapping relations between single product numbering with the supporting numbering of material.The generation of material requirement table is entered with the supporting parameter that is numbered of material with the model of product batch.
B, with model batch for parameter reads each node layer of assembly BOM of product, successively the independent material demand of iterative computation product and correlative demand, gather and generate assembly material demand schedule, set up the mapping relations of the supporting numbering of product material and material requirement table.
C, fractionation material requirement table create cover material requistion, and system carries out material requistion numbering automatically, and the information such as automatic record-keeping system is single, system single time, make material requistion RFID label tag.After complete set of materials requisition list is submitted to and preserved, start complete set of materials requisition on-line approval flow process, material requistion circulates according to given route automatically.
D, related personnel's login system, after purview certification, examine on the net carrying out to complete set of materials requisition list label, and system automatically records to sign and examines people, signs the information such as careful time.
E, Central Storage keeper login system, after purview certification, contrast has been signed careful complete set of materials requisition document and has been carried out material granting, and the single-piece information (production batch, factory number, the term of validity, Quantity Shipped) of material is provided in registration, fabrication material list part RFID label tag.System automatically records material single-piece whereabouts and material goes out to put account in storage, automatically safeguards stock material quantity.
(4) assembly material is supporting
This module is according to assembly BOM and the supporting table of material, the material calculating product to be installed overlaps inventory and material Short Item inventory together, the supporting order of application particle cluster algorithm intelligent optimization, the successively each node of iteration traversal assembly BOM, by supporting for received assembly material to each single product, set up the supporting table of material of each single product of inclusion material list part information, be numbered unique index so that material is supporting, be saved in database AIRM_DB.Applying RFID recognition technology, carry out assembling registration, material exchange and inventory disposal, system records material single-piece whereabouts automatically, automatically safeguards that material is supporting and overlaps state together with single product.The supporting flow process of assembly material as shown in Figure 6, comprises the following steps:
A, with the model of product to be installed batch for parameter reads assembly BOM, read with the supporting parameter that is numbered of material the single-piece information that institute receives assembly material, be numbered the supporting table information of parameter reading material so that material is supporting.
B, successively iteration read each layer material of assembly BOM and composing quantity, to search the quantity of auxiliary materials in the supporting table of material with BOM material code for parameter matching, and BOM material composing quantity and auxiliary materials quantity are subtracted each other and obtained Short Item quantity.If Short Item quantity is 0, continue to perform this operation; Otherwise, perform c operation.
C, with BOM material code and " not joining " state for parameter matching searches received assembly material single-piece, by the supporting table of assembly material single-piece identical for material code write material, putting assembly material single-piece is " joining " state, Short Item quantity is subtracted 1, when Short Item quantity be 0 or coupling assembly material single-piece quantity be 0 time terminate.If Short Item quantity is 0, then this layer of BOM material is set to " joining together " state; Otherwise, then this layer of BOM material is set to " not neat " state.
D, with product batches installation time for objective function, with single product and material single-piece matching side case for particle, adopt the artificial intelligence optimization's algorithm based on multi-objective particle swarm, the supporting order of intelligent optimization assembly material.Supporting sequential optimization algorithm flow as shown in Figure 7.
E, choose the supporting table of material and carry out material exchange, replace first wife's material single-piece with new material single-piece, new material single-piece is set to " joining " state, first wife's material single-piece is set to " not joining " state.
F, choose the supporting table of material and carry out inventory disposal, from the supporting table of material, scrapped material single-piece is deleted, from complete set of materials requisition list, scrapped material single-piece is set to " scrapping " state, single product is set to " not neat " state.
G, the supporting table of preservation material are in the AIRM_DB of material neat sets of data storehouse.
If the assembling work of certain complicated high-precision product comprises subassembly assembling, component assembly, characteristic test, product assembly etc., be expressed as the operation set shown in formula (1); Time representation needed for each assembling work is the time set shown in formula (2); The assembling work temporal constraint relation of this product is expressed as the operation constraint matrix shown in formula (3); Material required for this Product Assembly is expressed as the material set shown in formula (4); The Short Item quantity of each assembling work is expressed as the Short Item matrix shown in formula (5); Existingly auxiliary materials quantity can be expressed as can supportingly gather shown in formula (6).This module employing material and assembling work are paired into particle and carry out particle Code And Decode, the shortest in optimization object function with the Short Item delay time at stop, closing with operation timing is constraint function, particle scale is set to 40, deposit collection scale is set to 20, and inertial factor w is set to 0.9 ~ 0.4 linear adaption.Obtaining optimum results through 200 iterative computation is the supporting optimization set of material shown in formula (7), namely according to e 5→ e 4→ e 6→ e 11→ e 1→ e 2→ e 3→ e 10→ e 13→ e 7→ e 8→ e 9→ e 12→ e 14→ e 15→ e 16order to carry out material supporting.
E T={t 1,t 2,…,t 16}(2)
C = 0 c 12 c 13 ... c 1 ( n - 1 ) c l n 0 0 c 23 ... c 2 ( n - 1 ) c 2 n 0 0 0 ... c 3 n - 1 c 3 n ... ... ... ... ... ... 0 0 0 ... 0 c ( n - 1 ) n 0 0 0 ... 0 0
I={i 1,i 2,…,i 353}(4)
R = r 11 r 12 r 13 ... r 1 ( n - 1 ) r n 1 r 21 r 22 r 23 ... r 2 ( n - 1 ) r 2 n r 31 r 32 r 33 ... r 3 n - 1 r 3 n ... ... ... ... ... ... r ( m - 1 ) 1 r ( m - 1 ) 2 r ( m - 1 ) 3 ... r ( m - 1 ) ( n - 1 ) r ( n - 1 ) n r m 1 r m 2 r m 3 ... r m ( n - 1 ) r m n R mnrepresent operation e mto material i nquantity required (5)
I N={n 1,n 2,…,n 353}(6)
E S={e 5,e 4,e 6,e 11,e 1,e 2,e 3,e 10,e 13,e 7,e 8,e 9,e 12,e 14,e 15,e 16}(7)
(5) material overlaps information inquiry together
This module realizes input, target search, the Query Result display of querying condition and exports.Related personnel can overlap information and material single-piece whereabouts by the material of each single products of condition fast query such as single product RFID, material single-piece RFID, material code, name of material at any time together.Many condition combination in any is supported in inquiry, supports fuzzy query.The Excel file of the exportable specific format of Query Result.Material overlaps information inquiry flow process as shown in Figure 10 together, comprises the following steps:
A, by interface by rfid interrogator, keyboard etc. input review condition, comprise single product RFID, material single-piece RFID, single product numbering, assembly technology volume, material code, name of material etc.
B, be linked and packed by JDBC material neat sets of data storehouse AIRM_DB, transmits query argument.If inquire about supporting inventory, the supporting table of retrieval material; If inquiry overlaps inventory together, then retrieve assembly BOM, the supporting table of material, calculate Short Item inventory.Return inquiry and chase after result.
C, display Query Result.Supporting inventory comprises product type batch, single product numbering, product overlap state, material code, name of material, auxiliary materials single-piece numbering, supporting quantity etc. together.Short Item inventory comprises product type batch, single product numbering, product overlap state, material code, name of material, supporting quantity, Short Item quantity etc. together.
D, output Query Result, by the Excel file of exportable for Query Result specific format.Neat cover inventory comprises product type batch, single product numbering, product overlap state, material code, name of material, auxiliary materials single-piece numbering, supporting quantity etc. together.Short Item inventory comprises product type batch, single product numbering, product overlap state, material code, name of material, supporting quantity, Short Item quantity etc. together.
Be further described below in conjunction with an example:
User uses IE browser to run this software under a windows environment.What first show is login interface, logins successfully laggardly to become owner of interface.As shown in figure 11, main interface comprises left and right two large divisions.Wherein, the left side comprises login user information, actions menu, tree-like navigation; The right comprises title block, tool bar and data field.
Figure 12 is that cad file reads and assembly BOM imports interface, user selects cad model file in dialog box, click on submission button, start CAD software and second development interface program, utilize the structural topology information in second development interface reading cad file and parts essential information, create material object and assembly BOM, be saved in the database AIRM_DB on backstage.
To be that assembly material is complete receive interface to Figure 13-Figure 16.In the interface shown in Figure 13, user clicks complete application button, hind computation independent material demand and correlative demand, and enters material and choose interface.Choose in interface at the material shown in Figure 14, user chooses material click on submission button, and backstage creates that assembly material is complete receives list, and starts that material is complete receives approval process.Examine in interface complete the receiving of the material shown in Figure 15, user clicks examination & approval button, fills in suggestions made after examination, and backstage is automatically recorded and signed the information of examining.In the delivery interface shown in Figure 16, user clicks delivery button, carries out the registration of single-piece information, fabrication material list part RFID label tag, and complete delivery operation, backstage is automatically recorded material single-piece whereabouts and gone out to put account in storage, automatically safeguards stock material quantity.
Figure 17-Figure 19 is the supporting interface of assembly material.In the interface shown in Figure 17, user clicks sequential optimization menu, enters the supporting sequential optimization interface shown in Figure 18; User clicks automatic matching button, backstage read assembly BOM, complete set of materials requisition list and the supporting table of material, carry out assembly BOM material and lead material single-piece to mate, fill in the supporting table of material.In the interface shown in Figure 19, user's rfid interrogator, mouse choose auxiliary materials single-piece, and click to exchange or scrap button and carry out auxiliary materials exchange or scrap, program records material single-piece whereabouts automatically, automatically safeguards the supporting table status of material.
Figure 20 and Figure 21 is neat cover information inquiry interface.In the interface shown in Figure 20, user, by the peripheral hardware such as rfid interrogator, keyboard input inquiry condition, clicks inquire button and carries out auxiliary materials inquiry, clicks and derives button output Query Result.In the interface shown in Figure 21, user, by the peripheral hardware such as rfid interrogator, keyboard input inquiry condition, clicks inquire button and carries out Short Item inquiry, clicks and derives button output Query Result.
The part that the present invention does not relate to prior art that maybe can adopt all same as the prior art is realized.

Claims (3)

1. a high-precision complex product assembly material automatic kitting method, is characterized in that comprising the following steps:
First, according to the model batch information of product to be assembled, from PDM system, assembling cad model is transferred by technological design personnel, and by calling CAD second development interface program, application recursive algorithm travels through non-structured cad model file, batch reads the base attribute information of the structural topology information of cad file and parts, part, standard component, automatically creates structurized assembly material and assembly BOM, stored in the AIRM_DB of assembly material neat sets of data storehouse by program;
The second, new single product numbering and the new supporting numbering of material are generated respectively to every part product to be assembled, sets up single product and number mapping relations between the supporting numbering of material, make every part product to be assembled and the supporting RFID label tag of material; According to assembly BOM hierarchical structure, by the program successively independent material demand of the every part of iterative computation product to be assembled and correlative demand, automatically generate the complete demand schedule of assembly material, set up the mapping relations of the supporting numbering of product material and the complete demand schedule of material;
3rd, in the Assembling Production preparatory stage, handling of goods and materials personnel choose material and carry out complete receiving from the complete demand schedule of assembly material, programming automatic generation complete set of materials requisition list, automatic record-keeping system is single, make single temporal information, automatic generation neck material RFID label tag, and start Assembling Production complete set of materials requisition on-line approval flow process; By related personnel on the net to carry out to complete set of materials requisition list label careful;
4th, Central Storage carries out material granting according to the online complete set of materials requisition document examined of signing, and the single-piece information of material is provided in registration, the RFID label tag of fabrication material list part; Program automatically record material single-piece go out to put whereabouts in storage, automatically safeguard stock material quantity and go out to put account in storage;
5th, in the Assembling Production stage, handling of goods and materials personnel run material allocation function module, and program reads the Short Item inventory of assembly BOM, complete set of materials requisition list and the supporting table of material successively iterative computation product to be installed each layer BOM node; Using artificial intellectual technology, adopts particle cluster algorithm to optimize the supporting order of material; According to the supporting order of material optimized, automatically led material single-piece is supporting to each single product to be assembled one by one, set up with the supporting supporting table of material being numbered each single product of unique index of material, record the supporting whereabouts of each material single-piece, be saved in database AIRM_DB;
6th, assembling teams and groups carry out the assembling of neck material according to the supporting table of material, adopt RFID radio frequency identification material single-piece, material single-piece is assembled, exchanges and scrap operation, the assembling of program record material single-piece, exchange and scrap information, the supporting whereabouts of automatic registration each material single-piece, upgrade the supporting table of material automatically;
7th, after Product Assembly completes, the supporting table of material of each single product is centralized and unified to be stored in the AIRM_DB of assembly material neat sets of data storehouse; The material that related personnel can be each single product of condition fast query with single product RFID, material single-piece RFID, material code or name of material at any time overlaps information and material single-piece whereabouts together.
2. method according to claim 1, it is characterized in that many condition combination in any is supported in described inquiry, support fuzzy query, Query Result exports with Excel file.
3. method according to claim 1, is characterized in that described single-piece information comprises production batch, factory number, the term of validity and Quantity Shipped.
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Families Citing this family (17)

* Cited by examiner, † Cited by third party
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CN109359752A (en) * 2018-11-01 2019-02-19 郑州云海信息技术有限公司 A kind of batch maintenance method and device of ERP system material
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CN109801024A (en) * 2019-03-05 2019-05-24 广州影子科技有限公司 The method and electronic device of pig farm warehouse information management
CN111461590A (en) * 2020-03-02 2020-07-28 南京同赢信息科技有限公司 Method for calculating complete set of materials according to sales, inventory and purchase information
CN111915247A (en) * 2020-06-30 2020-11-10 中国航发南方工业有限公司 System and method for checking and distributing line side library alignment
CN112200407A (en) * 2020-08-31 2021-01-08 北京卫星制造厂有限公司 Satellite assembly process reconstruction system and method based on multiple assembly sequences
CN113065814A (en) * 2021-03-12 2021-07-02 云汉芯城(上海)互联网科技股份有限公司 Quantification method of BOM system and computer readable storage medium
CN113362011A (en) * 2021-06-30 2021-09-07 长沙格力暖通制冷设备有限公司 Method and system for determining complete sets of materials and display terminal
CN115526462B (en) * 2022-09-13 2024-04-16 成都飞机工业(集团)有限责任公司 Material matching method, device, equipment and medium for production line

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7854376B2 (en) * 2003-09-10 2010-12-21 Agile Software Corporation System and method for managing item interchange and identification in an extended enterprise
CN102930420A (en) * 2012-10-26 2013-02-13 浙江中烟工业有限责任公司 RFID (Radio Frequency Identification) tobacco leaf management system and tobacco leaf management method in tobacco factory

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7854376B2 (en) * 2003-09-10 2010-12-21 Agile Software Corporation System and method for managing item interchange and identification in an extended enterprise
CN102930420A (en) * 2012-10-26 2013-02-13 浙江中烟工业有限责任公司 RFID (Radio Frequency Identification) tobacco leaf management system and tobacco leaf management method in tobacco factory

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴薇等.基于RFID的零件精细分类管理系统开发.《南京师范大学学报(工程技术版)》.2012,第12卷(第2期),第18-23页. *
朱哲等.航天产品装配物料配送系统的研究.《企业管理与信息化》.2012,第41卷(第15期),第9-12页. *

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