CN113361974A - Production regulation and control management method and system for industrial orders and computer storage medium - Google Patents
Production regulation and control management method and system for industrial orders and computer storage medium Download PDFInfo
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Abstract
The invention discloses a production regulation and control management method, a system and a computer storage medium of industrial orders, which are characterized in that each industrial order in an industrial production enterprise is obtained, the cut-off time of each industrial order in the industrial production enterprise is extracted, the residual delivery time of each industrial order in the industrial production enterprise is analyzed, the transaction address of each industrial order in the industrial production enterprise and the quantity of each type product in each industrial order are extracted, the maximum yield of the type product line corresponding to each type product in unit time in the industrial production enterprise is screened, the quantity of the type product line corresponding to each type product in the industrial production enterprise is counted, the comprehensive production regulation and control proportion coefficient of each type product in the industrial production enterprise is analyzed, and corresponding production regulation and control are carried out, so that the production execution efficiency of the industrial production enterprise is increased, and the production regulation and control management difficulty of the enterprise is reduced, the order production regulation and control management level of industrial production enterprises is improved.
Description
Technical Field
The invention relates to the field of production regulation and control management, in particular to a production regulation and control management method, a production regulation and control management system and a computer storage medium for industrial orders.
Background
Production regulation and control are always the core content of enterprise production management optimization. With the development of society and the change of market demand, the production regulation and control management of industrial orders becomes a main production mode of most industrial enterprises.
At present, the existing industrial order production regulation and control management generally has some defects:
1. the existing industrial order production regulation and control management is mainly used for sequentially sequencing production according to order placing time, and the problem that part of industrial orders are sequenced backwards but close to the deadline of delivery date exists, so that the part of industrial orders can only be delivered in a delayed way, the order production regulation and control management level of industrial production enterprises is reduced, and the credit of the industrial production enterprises is influenced;
2. the existing industrial order production regulation and control management basically regulates and controls the number of production lines according to the demand of order products, and has the problem that different production lines produce different types of products with different yields, so that the different production lines cannot reflect the corresponding production effect, thereby reducing the production execution efficiency of industrial production enterprises and further increasing the production regulation and control management difficulty of the industrial production enterprises;
in order to solve the above problems, a method, a system and a computer storage medium for production regulation and management of an industrial order are designed.
Disclosure of Invention
The invention aims to provide a production regulation and control management method, a system and a computer storage medium for industrial orders, and solves the problems in the background technology by acquiring each industrial order in an industrial production enterprise, extracting the cut-off time of each industrial order in the industrial production enterprise, analyzing the residual delivery time of each industrial order in the industrial production enterprise, extracting the transaction address of each industrial order in the industrial production enterprise and the quantity of each type product in each industrial order, screening the maximum yield of the production line corresponding to each type product in unit time in the industrial production enterprise, counting the quantity of the production line corresponding to each type product in the industrial production enterprise, analyzing the comprehensive production regulation and control proportional coefficient of each type product in the industrial production enterprise, and performing corresponding production regulation and control.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the present invention provides a method for managing production regulation of an industrial order, comprising the following steps:
s1, acquiring industrial production orders: respectively acquiring each industrial order in an industrial production enterprise through an industrial order acquisition module, and sequentially numbering according to a set sequence;
s2, order deadline extraction: extracting the cut-off time of each industrial order in the industrial production enterprise through an order cut-off time extraction module, and analyzing the residual delivery time of each industrial order in the industrial production enterprise;
s3, order transaction address extraction: the method comprises the steps that the trading address of each industrial order in the industrial production enterprise is extracted through an order trading address extraction module, the production base position of the industrial production enterprise is obtained, and the distance between the trading address of each industrial order in the industrial production enterprise and the production base position is analyzed;
s4, counting the number of model products: respectively acquiring the quantity of each type of product in each industrial order in the industrial production enterprise through a product quantity counting module, and counting the quantity of each type of product in each industrial order in the industrial production enterprise;
s5, obtaining the yield of the type production line: respectively acquiring the output of each type of product in each type of production line in an industrial production enterprise within unit time through a product output acquisition module, and screening the maximum output of each type of product corresponding to each type of product in the industrial production enterprise within unit time;
s6, counting the number of the type production lines: respectively extracting the number of various types of production lines in an industrial production enterprise through a production line number extraction module, and analyzing the number of the production lines of various types corresponding to various types of products in the industrial production enterprise;
s7, analyzing a production regulation and control proportional coefficient: the influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance stored in the storage database are extracted through the analysis server, the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is calculated, meanwhile, the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is analyzed, and corresponding production regulation and control are carried out through the cloud regulation and control platform.
In a possible design, the step S1 includes counting the industrial orders in the industrial manufacturing enterprise, and numbering the orders in sequence according to order placing time sequence, so as to form a numbering set a (a) of the industrial orders in the industrial manufacturing enterprise1,a2,...,ai,...,an)，aiIndicated as the number of the ith industrial order in the industrial manufacturing facility.
In aIn a possible design, the step S2 includes counting the cut-off time of each industrial order in the industrial manufacturing enterprise, and forming a cut-off time set T (T) of each industrial order in the industrial manufacturing enterprise1,T2,...,Ti,...,Tn)，TiExpressed as the cut-off time of the ith industrial order in the industrial production enterprise, and calculating the residual delivery time t of each industrial order in the industrial production enterprisei＝TFruit of Chinese wolfberry-Ti，tiExpressed as the remaining delivery time, T, of the ith industrial order in the industrial manufacturing facilityFruit of Chinese wolfberryExpressed as time in real time.
In one possible design, step S3 includes the following steps:
s31, acquiring the trade address coordinate of each industrial order in the industrial production enterprise, and forming a trade address coordinate set (x, y) { (x)1,y1),(x2,y2),...,(xi,yi),...,(xn,yn)}，(xi,yi) The transaction address coordinate is expressed as the ith industrial order in the industrial production enterprise;
s32, obtaining the position coordinates (x ', y') of the production base of the industrial production enterprise, and analyzing the distance between the trade address coordinates and the position coordinates of the production base of each industrial order in the industrial production enterprise
diThe distance between the transaction address of the ith industrial order in the industrial production enterprise and the position coordinate of the production base is represented;
s33, counting the distance between the trade address and the production base position of each industrial order in the industrial production enterprise, and forming a trade address and production base position distance set D' (D) of each industrial order in the industrial production enterprise1′,d2′,...,di′,...,dn′)，di' is expressed as the distance between the transaction address and the production base position of the ith industrial order in the industrial production enterprise, wherein di′＝di。
In one possibilityIn the design of (3), the step S4 includes forming a quantity set W of each type of product in each industrial order in the industrial manufacturing enterpriseiB(wib1,wib2,...,wibj,...,wibm)，wibjExpressed as the quantity of the jth model product within the ith industrial order in the industrial manufacturing facility.
In one possible design, step S5 includes the following steps:
s51, acquiring the output of each type of product in each type of production line in the industrial production enterprise within unit time, and counting the output of each type of product in each type of production line in the industrial production enterprise within unit time;
s52, comparing the yields of various types of products in each type of production line in the industrial production enterprise within unit time, and sequentially screening the maximum yields of the production lines corresponding to the various types of products in the industrial production enterprise within unit time according to the sequence;
s53, counting the maximum output of the production line corresponding to each type of product in unit time in the industrial production enterprise, and forming a maximum output set K of the production line corresponding to each type of product in unit time in the industrial production enterprisemaxB(kmaxb1,kmaxb2,...,kmaxbj,...,kmaxbm)，kmaxbjExpressed as the maximum production of the production line corresponding to the type of the jth model product in the industrial production enterprise in unit time.
In a possible design, the step S6 includes counting the number of production lines corresponding to each type of product in the industrial manufacturing enterprise, and forming a set PB (PB) of the number of production lines corresponding to each type of product in the industrial manufacturing enterprise1,pb2,...,pbj,...,pbm)，pbjThe number of production lines corresponding to the jth model product in the industrial production enterprise is expressed.
In one possible design, the calculation formula of the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is
ξibjExpressing the production regulation and control proportionality coefficient of the jth model product in the ith industrial order in the industrial production enterprise, and respectively expressing alpha, beta and mu as influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance; meanwhile, the calculation formula of the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is
ξHealdbjExpressed as the comprehensive production regulation and control proportionality coefficient of the jth model product in the industrial production enterprises.
In a second aspect, the invention further provides a production regulation and control management system for industrial orders, wherein the industrial order acquisition module is respectively connected with the order cut-off time extraction module, the order trade address extraction module and the product quantity statistics module, the product yield acquisition module is connected with the production line quantity extraction module, the analysis server is respectively connected with the order cut-off time extraction module, the order trade address extraction module, the product quantity statistics module, the production line quantity extraction module and the storage database, and the cloud regulation and control platform is connected with the analysis server.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned into the computer storage medium, and when the computer program runs in a memory of a server, the method for managing and controlling production of an industrial order according to the present invention is implemented.
Has the advantages that:
(1) the invention provides a production regulation and control management method, a system and a computer storage medium of industrial orders, which solve the problem of delayed delivery of partial industrial orders by acquiring the industrial orders in an industrial production enterprise, extracting the cut-off time of the industrial orders in the industrial production enterprise and analyzing the residual delivery time of the industrial orders in the industrial production enterprise, ensure that the credit of the industrial production enterprise is not influenced, simultaneously extract the transaction address of the industrial orders in the industrial production enterprise and the quantity of products of each type in the industrial orders, count the quantity of production lines of the products of each type in the industrial production enterprise, analyze the comprehensive production regulation and control proportionality coefficient of the products of each type in the industrial production enterprise and perform corresponding production regulation and control, thereby improving the production execution efficiency of the industrial production enterprise and meeting the product supply requirements of industrial order clients, thereby reducing the difficulty of production regulation and control management of industrial production enterprises.
(2) According to the invention, the yield of each type of product in each type of production line in the industrial production enterprise in unit time is obtained, and the maximum yield of the production line corresponding to each type of product in the industrial production enterprise in unit time is screened, so that the production efficiency of each type of production line is reasonably utilized, the production effect corresponding to each type of production line is realized, and the order production regulation and control management level of the industrial production enterprise is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a schematic view of a module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for managing production regulation of an industrial order includes the following steps:
s1, acquiring industrial production orders: and respectively acquiring each industrial order in the industrial production enterprise through an industrial order acquisition module, and numbering according to a set sequence.
Preferably, the step S1 includes counting the industrial orders in the industrial manufacturing enterprise, and numbering the industrial orders in sequence according to order placing time sequence, so as to form a numbering set a (a) of the industrial orders in the industrial manufacturing enterprise1,a2,...,ai,...,an)，aiIndicated as the number of the ith industrial order in the industrial manufacturing facility.
S2, order deadline extraction: and extracting the cut-off time of each industrial order in the industrial production enterprise through an order cut-off time extraction module, and analyzing the residual delivery time of each industrial order in the industrial production enterprise.
Preferably, the step S2 includes counting the cut-off time of each industrial order in the industrial manufacturing enterprise, and forming a cut-off time set T (T) of each industrial order in the industrial manufacturing enterprise1,T2,...,Ti,...,Tn)，TiExpressed as the cut-off time of the ith industrial order in the industrial production enterprise, and calculating the residual delivery time t of each industrial order in the industrial production enterprisei＝TFruit of Chinese wolfberry-Ti，tiExpressed as the remaining delivery time, T, of the ith industrial order in the industrial manufacturing facilityFruit of Chinese wolfberryExpressed as time in real time.
Specifically, the method and the device provided by the invention have the advantages that the remaining delivery time of each industrial order in the industrial production enterprise is analyzed by acquiring each industrial order in the industrial production enterprise, extracting the cut-off time of each industrial order in the industrial production enterprise, so that the problem of delayed delivery of part of industrial orders is avoided, and the credit of the industrial production enterprise is not influenced.
S3, order transaction address extraction: the trading address of each industrial order in the industrial production enterprise is extracted through the order trading address extraction module, the production base position of the industrial production enterprise is obtained, and the distance between the trading address of each industrial order in the industrial production enterprise and the production base position is analyzed.
Preferably, the step S3 includes the following steps:
s31, acquiring the trade address coordinate of each industrial order in the industrial production enterprise, and forming a trade address coordinate set (x, y) { (x)1,y1),(x2,y2),...,(xi,yi),...,(xn,yn)}，(xi,yi) The transaction address coordinate is expressed as the ith industrial order in the industrial production enterprise;
s32, obtaining the position coordinates (x ', y') of the production base of the industrial production enterprise, and analyzing the distance between the trade address coordinates and the position coordinates of the production base of each industrial order in the industrial production enterprise
diThe distance between the transaction address of the ith industrial order in the industrial production enterprise and the position coordinate of the production base is represented;
s33, counting the trade address and production base position distance of each industrial order in the industrial production enterprise, and forming a trade address and production base position distance set D '(D'1,d′2,...,d′i,...,d′n)，d′iIs represented as the trade address to production base location distance of the ith industry order in the industry production enterprise, wherein d'i＝diTherefore, reliable reference data are provided for calculating the production regulation and control proportion coefficient of each type of product in each industrial order at the later stage.
S4, counting the number of model products: and respectively acquiring the quantity of each type of product in each industrial order in the industrial production enterprise through a product quantity counting module, and counting the quantity of each type of product in each industrial order in the industrial production enterprise.
Preferably, the step S4 includes the step of forming a quantity set W of each type of product in each industrial order in the industrial manufacturing enterpriseiB(wib1,wib2,...,wibj,...,wibm)，wibjIs shown as IThe number of the jth model product in the ith industrial order in the industrial production enterprise lays a foundation for calculating the production regulation and control proportion coefficient of each model product in each industrial order at the later stage.
S5, obtaining the yield of the type production line: the product yield obtaining module is used for obtaining the product yield of each type of production line in the industrial production enterprise in unit time respectively, and screening the maximum yield of the production line corresponding to each type of product in the industrial production enterprise in unit time.
Preferably, the step S5 includes the following steps:
s51, acquiring the output of each type of product in each type of production line in the industrial production enterprise within unit time, and counting the output of each type of product in each type of production line in the industrial production enterprise within unit time;
s52, comparing the yields of various types of products in each type of production line in the industrial production enterprise within unit time, and sequentially screening the maximum yields of the production lines corresponding to the various types of products in the industrial production enterprise within unit time according to the sequence;
s53, counting the maximum output of the production line corresponding to each type of product in unit time in the industrial production enterprise, and forming a maximum output set K of the production line corresponding to each type of product in unit time in the industrial production enterprisemaxB(kmaxb1,kmaxb2,...,kmaxbj,...,kmaxbm)，kmaxbjExpressed as the maximum production of the production line corresponding to the type of the jth model product in the industrial production enterprise in unit time.
Specifically, the method and the device provided by the invention have the advantages that the maximum output of the production line corresponding to each type of product in unit time in the industrial production enterprise is screened by acquiring the output of each type of product in unit time in each type of production line in the industrial production enterprise, so that the production efficiency of each type of production line is reasonably utilized, the production effect corresponding to each type of production line is realized, and the order production regulation and management level of the industrial production enterprise is improved.
S6, counting the number of the type production lines: the number of production lines of each type in the industrial production enterprise is respectively extracted through the production line number extraction module, and the number of production lines of each type corresponding to each type of product in the industrial production enterprise is analyzed.
Preferably, the step S6 includes counting the number of production lines corresponding to each type of product in the industrial manufacturing enterprise, and forming a set PB (PB) of production line number corresponding to each type of product in the industrial manufacturing enterprise1,pb2,...,pbj,...,pbm)，pbjThe number of production lines corresponding to the jth model product in the industrial production enterprise is expressed.
S7, analyzing a production regulation and control proportional coefficient: the influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance stored in the storage database are extracted through the analysis server, the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is calculated, meanwhile, the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is analyzed, and corresponding production regulation and control are carried out through the cloud regulation and control platform.
Preferably, the calculation formula of the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is
ξibjThe method is expressed as a production regulation and control proportion coefficient of a jth model product in an ith industrial order in an industrial production enterprise, and alpha, beta and mu are respectively expressed as influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance.
Preferably, the calculation formula of the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is
ξHealdbjExpressed as the comprehensive production regulation and control proportionality coefficient of the jth model product in the industrial production enterprises.
Specifically, the transaction address of each industrial order in the industrial production enterprise and the number of each type of product in each industrial order are extracted, the number of production lines corresponding to each type of product in the industrial production enterprise is counted, the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is analyzed, and corresponding production regulation and control are performed, so that the production execution efficiency of the industrial production enterprise is improved, the product supply requirements of industrial order customers are met, and the production regulation and control management difficulty of the industrial production enterprise is further reduced.
In a second aspect, the invention further provides a production regulation and control management system for industrial orders, wherein the industrial order acquisition module is respectively connected with the order cut-off time extraction module, the order trade address extraction module and the product quantity statistics module, the product yield acquisition module is connected with the production line quantity extraction module, the analysis server is respectively connected with the order cut-off time extraction module, the order trade address extraction module, the product quantity statistics module, the production line quantity extraction module and the storage database, and the cloud regulation and control platform is connected with the analysis server.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned into the computer storage medium, and when the computer program runs in a memory of a server, the method for managing and controlling production of an industrial order according to the present invention is implemented.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. A production regulation and control management method for industrial orders is characterized by comprising the following steps: the method comprises the following steps:
s1, acquiring industrial production orders: respectively acquiring each industrial order in an industrial production enterprise through an industrial order acquisition module, and sequentially numbering according to a set sequence;
s2, order deadline extraction: extracting the cut-off time of each industrial order in the industrial production enterprise through an order cut-off time extraction module, and analyzing the residual delivery time of each industrial order in the industrial production enterprise;
s3, order transaction address extraction: the method comprises the steps that the trading address of each industrial order in the industrial production enterprise is extracted through an order trading address extraction module, the production base position of the industrial production enterprise is obtained, and the distance between the trading address of each industrial order in the industrial production enterprise and the production base position is analyzed;
s4, counting the number of model products: respectively acquiring the quantity of each type of product in each industrial order in the industrial production enterprise through a product quantity counting module, and counting the quantity of each type of product in each industrial order in the industrial production enterprise;
s5, obtaining the yield of the type production line: respectively acquiring the output of each type of product in each type of production line in an industrial production enterprise within unit time through a product output acquisition module, and screening the maximum output of each type of product corresponding to each type of product in the industrial production enterprise within unit time;
s6, counting the number of the type production lines: respectively extracting the number of various types of production lines in an industrial production enterprise through a production line number extraction module, and analyzing the number of the production lines of various types corresponding to various types of products in the industrial production enterprise;
s7, analyzing a production regulation and control proportional coefficient: the influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance stored in the storage database are extracted through the analysis server, the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is calculated, meanwhile, the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is analyzed, and corresponding production regulation and control are carried out through the cloud regulation and control platform.
2. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S1 includes counting the industrial orders in the industrial manufacturing enterprise, and numbering the orders in sequence according to order placing time sequence to form a numbering set a (a) of the industrial orders in the industrial manufacturing enterprise1,a2,...,ai,...,an)，aiIndicated as the number of the ith industrial order in the industrial manufacturing facility.
3. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S2 includes counting the cut-off time of each industrial order in the industrial manufacturing enterprise, and forming a cut-off time set T (T) of each industrial order in the industrial manufacturing enterprise1,T2,...,Ti,...,Tn)，TiExpressed as the cut-off time of the ith industrial order in the industrial production enterprise, and calculating the residual delivery time t of each industrial order in the industrial production enterprisei＝TFruit of Chinese wolfberry-Ti，tiExpressed as the remaining delivery time, T, of the ith industrial order in the industrial manufacturing facilityFruit of Chinese wolfberryExpressed as time in real time.
4. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S3 includes the following steps:
s31, acquiring the trade address coordinate of each industrial order in the industrial production enterprise, and forming a trade address coordinate set (x, y) { (x)1,y1),(x2,y2),...,(xi,yi),...,(xn,yn)}(xi,yi) The transaction address coordinate is expressed as the ith industrial order in the industrial production enterprise;
s32, obtaining the position coordinates (x ', y') of the production base of the industrial production enterprise, and analyzing the distance between the trade address coordinates and the position coordinates of the production base of each industrial order in the industrial production enterprise
diThe distance between the transaction address of the ith industrial order in the industrial production enterprise and the position coordinate of the production base is represented;
s33, counting the distance between the trade address and the production base position of each industrial order in the industrial production enterpriseTrade address and production base position distance set D ' (D ') of each industrial order in industrial production enterprise '1,d′2,...,d′i,...,d′n)，d′iIs represented as the trade address to production base location distance of the ith industry order in the industry production enterprise, wherein d'i＝di。
5. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S4 includes forming a quantity set W of each type of product in each industrial order in the industrial manufacturing enterpriseiB(wib1,wib2,...,wibj,...,wibm)，wibjExpressed as the quantity of the jth model product within the ith industrial order in the industrial manufacturing facility.
6. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S5 includes the following steps:
s51, acquiring the output of each type of product in each type of production line in the industrial production enterprise within unit time, and counting the output of each type of product in each type of production line in the industrial production enterprise within unit time;
s52, comparing the yields of various types of products in each type of production line in the industrial production enterprise within unit time, and sequentially screening the maximum yields of the production lines corresponding to the various types of products in the industrial production enterprise within unit time according to the sequence;
s53, counting the maximum output of the production line corresponding to each type of product in unit time in the industrial production enterprise, and forming a maximum output set K of the production line corresponding to each type of product in unit time in the industrial production enterprisemaxB(kmaxb1,kmaxb2,...,kmaxbj,...,kmaxbm)，kmaxbjExpressed as the maximum production line of the corresponding type of the jth model product in the industrial production enterprise in unit timeAnd (4) yield.
7. The method for production regulation and management of industrial orders according to claim 1, wherein: the step S6 includes counting the number of production lines corresponding to each type of product in the industrial manufacturing enterprise, and forming a PB (PB) set of the number of production lines corresponding to each type of product in the industrial manufacturing enterprise1,pb2,...,pbj,...,pbm)，pbjThe number of production lines corresponding to the jth model product in the industrial production enterprise is expressed.
8. The method for production regulation and management of industrial orders according to claim 1, wherein: the calculation formula of the production regulation and control proportion coefficient of each type of product in each industrial order in the industrial production enterprise is
ξibjExpressing the production regulation and control proportionality coefficient of the jth model product in the ith industrial order in the industrial production enterprise, and respectively expressing alpha, beta and mu as influence weight coefficients corresponding to the product quantity, the production line quantity and the order transaction address distance; meanwhile, the calculation formula of the comprehensive production regulation and control proportion coefficient of each type of product in the industrial production enterprise is
ξHealdbjExpressed as the comprehensive production regulation and control proportionality coefficient of the jth model product in the industrial production enterprises.
9. The utility model provides a production regulation and control management system of industry order which characterized in that: the industrial order acquisition module is respectively connected with the order cut-off time extraction module, the order trade address extraction module and the product quantity counting module, the product yield acquisition module is connected with the production line quantity extraction module, the analysis server is respectively connected with the order cut-off time extraction module, the order trade address extraction module, the product quantity counting module, the production line quantity extraction module and the storage database, and the cloud regulation and control platform is connected with the analysis server.
10. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, and the computer program realizes the production regulation and control management method for an industrial order according to any one of claims 1 to 8 when running in a memory of a server.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236632A (en) * | 2023-10-08 | 2023-12-15 | 常州同泰生物药业科技股份有限公司 | Material management and control method for rabies vaccine production line |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1107147A2 (en) * | 1999-12-06 | 2001-06-13 | Toyota Jidosha Kabushiki Kaisha | Demand-production scheme planning apparatus and storage medium |
| US20040128177A1 (en) * | 2002-12-27 | 2004-07-01 | Hung-Shan Wei | System and method for balancing manufacturing orders |
| WO2017056749A1 (en) * | 2015-09-28 | 2017-04-06 | オムロン株式会社 | Management system and management method |
| CN107146035A (en) * | 2017-05-19 | 2017-09-08 | 中原工学院 | The computational methods of coefficient of lot size in the production of knitted dress bulk production |
| CN107146039A (en) * | 2017-06-13 | 2017-09-08 | 河南科技大学 | The customized type mixed-model assembly production method and device of a kind of multiple target Collaborative Control |
| CN111242482A (en) * | 2020-01-14 | 2020-06-05 | 杭州利鹏科技有限公司 | ERP system capable of realizing intelligent production scheduling |
| CN113034116A (en) * | 2021-04-15 | 2021-06-25 | 武汉源铭盛网络科技有限公司 | Industrial production material cooperative management system based on Internet and artificial intelligence |
| CN113052541A (en) * | 2021-04-14 | 2021-06-29 | 武汉字节空间科技有限公司 | Industrial product ordering management platform based on industrial Internet of things and data analysis |
-
2021
- 2021-07-15 CN CN202110801418.2A patent/CN113361974B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1107147A2 (en) * | 1999-12-06 | 2001-06-13 | Toyota Jidosha Kabushiki Kaisha | Demand-production scheme planning apparatus and storage medium |
| US20040128177A1 (en) * | 2002-12-27 | 2004-07-01 | Hung-Shan Wei | System and method for balancing manufacturing orders |
| WO2017056749A1 (en) * | 2015-09-28 | 2017-04-06 | オムロン株式会社 | Management system and management method |
| CN107146035A (en) * | 2017-05-19 | 2017-09-08 | 中原工学院 | The computational methods of coefficient of lot size in the production of knitted dress bulk production |
| CN107146039A (en) * | 2017-06-13 | 2017-09-08 | 河南科技大学 | The customized type mixed-model assembly production method and device of a kind of multiple target Collaborative Control |
| CN111242482A (en) * | 2020-01-14 | 2020-06-05 | 杭州利鹏科技有限公司 | ERP system capable of realizing intelligent production scheduling |
| CN113052541A (en) * | 2021-04-14 | 2021-06-29 | 武汉字节空间科技有限公司 | Industrial product ordering management platform based on industrial Internet of things and data analysis |
| CN113034116A (en) * | 2021-04-15 | 2021-06-25 | 武汉源铭盛网络科技有限公司 | Industrial production material cooperative management system based on Internet and artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| 廖朝辉等: "基于层次分析法和模糊综合评价的订单优先等级策略", 《科技管理研究》 * |
| 王文浩等: "面向ATP的多工厂订单决策与生产计划集成优化模型", 《上海交通大学学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236632A (en) * | 2023-10-08 | 2023-12-15 | 常州同泰生物药业科技股份有限公司 | Material management and control method for rabies vaccine production line |
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