CN102521690A - Method for optimizing product order of enterprise - Google Patents
Method for optimizing product order of enterprise Download PDFInfo
- Publication number
- CN102521690A CN102521690A CN2011103975457A CN201110397545A CN102521690A CN 102521690 A CN102521690 A CN 102521690A CN 2011103975457 A CN2011103975457 A CN 2011103975457A CN 201110397545 A CN201110397545 A CN 201110397545A CN 102521690 A CN102521690 A CN 102521690A
- Authority
- CN
- China
- Prior art keywords
- product
- enterprise
- formula
- mathematical model
- production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for optimizing a product order of an enterprise. On the basis of a theory of constraints (TOC), the production flow of the enterprise is analyzed, and data are processed by using a computer software development technology; and by taking a nonlinear programming theory as a teaching tool and using an advanced computer software development technology, an enterprise product structure optimization model is established, and power assistance such as optimization of a product structure, formulation of a marketing strategy, providing of management key points and sensitivity analysis can be provided for the enterprise. The method has the advantages that: the production line of the enterprise is optimized by using a product structure optimization mathematical model; a product mixture which has the highest capacity and profit of each production line can be found; parameters can be provided for market development of a sales department; a resource plan, a capacity balancing plan, a production and operation integrated plan which comprises the product structure and economic benefits, and extremely-abundant data resources are provided by using market information; plan schemes for reducing cost, avoiding waste, optimizing resource allocation and optimizing the product structure are provided; and remarkable economic benefits can be created for the enterprise.
Description
Technical field
The present invention relates to a kind of optimization method of enterprise product order, belong to production decision-making category.
Background technology
Along with the infiltration day by day and the promotion of computer science, management science and information science, with the appliance computer aid decision making, to improve decision-making capability be that the DSS of target is arisen at the historic moment.DSS integrated use computer technology and modelling technique solve the practical problems in management decision field, have promoted management development, and the bounding theory in the operational research (TOC is theoretical) then plays a very important role therein.Operational research originates from the '30s end in this century; And be applied in fields such as military affairs, industry, agriculturals rapidly and develop; Formed many branches,, wherein used the most extensive with linear programming (being called for short LP) especially like linear programming, network technology, waiting line theory, decision theory etc.For the one type of problem that often runs in production management and the business activities; Promptly how reasonably to utilize resources such as limited human and material resources, financial resources; So that obtain best economic effect; It is very effective that linear programming seems, the plans such as cooperation that it can confirm production, storage and labour on the whole are to adapt to the market demand of fluctuation.
The modern enterprise production procedure is complicated, and what face is that limit product demand in complicated inputoutput calculating and market.How to arrange production plan, select planning scheme could improve the output value and profit; How to confirm that component ratio just can improve the quality and reduce cost; How to select design parameter just can meet design requirement and can reduce cost etc., these problems all are the difficult problems in the row's of production product process.At present, enterprise adopts manual carrying out, and still, only relies on the manual analytical calculation of carrying out, and relies on the production and operation experience to optimize the breed structure of iron and steel enterprise merely, can not satisfy the needs of enterprise far away.
Summary of the invention
To above-mentioned deficiency, the invention provides a kind of optimization method of enterprise product order, the optimal strategy that it not only can provide enterprise product structure to optimize, and can strong help be provided for enterprise formulates the marketing strategy.
The present invention solves the technical scheme that its technical matters takes: a kind of optimization method of enterprise product order, it is characterized in that, and may further comprise the steps:
1) confirms production equipment resource and the kind of producing product in advance;
2) productive capacity to production equipment retrains;
3) confirm that the production unit product takies the time of production equipment;
4) retrain producing product;
5) set up mathematical model:
Formula 1 is the profit optimal mathematical model, and formula 2 is the mathematical model that is tied of formula 1;
In the formula:
The i----product labelling, i=1,2 ..., n, note: i ∈ N;
J----production equipment mark, j=1,2 ..., m, note: j ∈ M;
y
i--the quantity of-plan converted products i, decision content;
C
i--the contribution coefficient of-product i;
T
Ij---unit product i takies the time of equipment j;
β
j---equipment j normal available process time;
d
iThe market demand of----product i;
l
iThe lowest manufactured amount of----product i is more than or equal to 0;
Z
+---nonnegative integer;
6) set up the corresponding relation between the data through the solving result of mathematical model;
7) utilize the optimized application software of mathematical model manufacturing articles order.
The data correspondence table of output products order after the execution of said optimized application software.
This method is theoretical based on TOC; In conjunction with the develop computer software technology; Iron and steel enterprise's production procedure is analyzed and data processing, is mathematical tool with the Nonlinear Programming Theory, in conjunction with advanced develop computer software technology; Set up the smelter Model Optimizing Production Structure, for the optimization of enterprises product structure, formulate the marketing strategy, provide management emphasis and sensitivity analysis etc. that strong help is provided.
The invention has the beneficial effects as follows: the present invention utilizes the product structure optimization mathematical model that the production line of enterprise is optimized, and can find each production line production capacity and the highest product mix of profit, also for sales department carries out the market development parameter is provided simultaneously.The present invention has combined market information that production and operation overall plannings such as resource planning, power balance plan, product structure, economic benefit and rich data resource extremely are provided; Its degree of depth, fineness, range are that the plan of manual establishment is incomparable; Also working out plan by hand can't accomplish; Provide reduce cost, cut the waste, optimize allocation of resources, plans such as optimize product structure, can create remarkable economic efficiency for enterprise.
Embodiment
A kind of optimization method of enterprise product order is characterized in that, may further comprise the steps:
1) confirms production equipment resource m and the kind n that produces product in advance;
2) productive capacity of production equipment is carried out constraint beta
j
3) confirm that the production unit product takies the time T of production equipment
Ij
4) to producing product y
iRetrain l
i≤y
i≤d
i
5) set up mathematical model:
Guarantee the contribution coefficient C of product i
iThe quantity y of raising plan converted products i when reaching certain level
i, to obtain the maximization interests;
6) set up the corresponding relation between the data through the solving result of mathematical model;
7) utilize the optimized application software of mathematical model manufacturing articles order, carry out the data correspondence table of the back output products order of back optimized application software.
The present invention is based on the TOC theory; In conjunction with the develop computer software technology; The enterprise production flow process is analyzed and data processing, is mathematical tool with the Nonlinear Programming Theory, in conjunction with advanced develop computer software technology; Set up the enterprise product structure Optimization Model, for the optimization of enterprises product structure, formulate the marketing strategy, provide management emphasis and sensitivity analysis etc. that strong help is provided.At present; Enterprise is solving on the product structure optimization problem both at home and abroad; Mainly concentrate on research and the application facet of simple consideration towards the ERP/MES production management system; And consider that merely value chain management aspect, native system consider above two aspect factors as a whole and carry out mathematical modeling, the optimal strategy that provides enterprise product structure to optimize.
The present invention need set up the perfect system model and definite system moves needed related data.The key of this invention is the whole breed structure Optimization Model of structure.The foundation of model must be considered as a whole and formulate many key links and limiting factor in the production operating plan; As: marketability and order ability, the productive capacity of producing line, lumber recovery, qualification rate and the cost of product; And the high commissioner of product compares, kind compares etc.; The many factors that influence model are specialized, to confirm the Data Source of native system.
Claims (2)
1. the optimization method of an enterprise product order is characterized in that, may further comprise the steps:
1) confirms production equipment resource and the kind of producing product in advance;
2) productive capacity to production equipment retrains;
3) confirm that the production unit product takies the time of production equipment;
4) retrain producing product;
5) set up mathematical model:
Formula 1 is the profit optimal mathematical model, and formula 2 is the mathematical model that is tied of formula 1;
In the formula:
The i----product labelling, i=1,2 ..., n, note: i ∈ N;
J----production equipment mark, j=1,2 ..., m, note: j ∈ M;
y
i--the quantity of-plan converted products i, decision content;
C
i--the contribution coefficient of-product i;
T
Ij---unit product i takies the time of equipment j;
β
j---equipment j normal available process time;
d
iThe market demand of----product i;
l
iThe lowest manufactured amount of----product i is more than or equal to 0;
Z
+---nonnegative integer;
6) set up the corresponding relation between the data through the solving result of mathematical model;
7) utilize the optimized application software of mathematical model manufacturing articles order.
2. the optimization method of a kind of enterprise product order according to claim 1 is characterized in that, the data correspondence table of output products order after the execution of said optimized application software.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011103975457A CN102521690A (en) | 2011-12-05 | 2011-12-05 | Method for optimizing product order of enterprise |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011103975457A CN102521690A (en) | 2011-12-05 | 2011-12-05 | Method for optimizing product order of enterprise |
Publications (1)
Publication Number | Publication Date |
---|---|
CN102521690A true CN102521690A (en) | 2012-06-27 |
Family
ID=46292601
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2011103975457A Pending CN102521690A (en) | 2011-12-05 | 2011-12-05 | Method for optimizing product order of enterprise |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102521690A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103345711A (en) * | 2013-07-08 | 2013-10-09 | 济钢集团有限公司 | Iron and steel procedure resource balance system |
CN104484161A (en) * | 2014-06-11 | 2015-04-01 | 国家电网公司 | Model and method of provincial electric power metering center production plan prediction software system |
CN105825305A (en) * | 2016-03-22 | 2016-08-03 | 西北工业大学 | Theory of constraints (TOC)-based product mix optimization problem improved analytic method |
CN105913147A (en) * | 2016-04-11 | 2016-08-31 | 西北工业大学 | Surplus capability redistribution-based product combination optimization problem solving method |
EP3540661A1 (en) * | 2018-03-15 | 2019-09-18 | Siemens Industry Software Ltd. | Method for balancing a production line |
CN114493199A (en) * | 2022-01-11 | 2022-05-13 | 电子科技大学 | Intelligent cloud scheduling method based on small-sized cross-medium enterprises |
CN116452243A (en) * | 2023-05-11 | 2023-07-18 | 长沙麦可思信息科技有限公司 | Enterprise order prediction method, system and medium based on big data |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101359380A (en) * | 2008-09-02 | 2009-02-04 | 浙江理工大学 | Model building and optimizing method for mass customization of two-dimension time-space correlation |
CN101587573A (en) * | 2009-07-06 | 2009-11-25 | 华南理工大学 | Method of rolled paper cutting and integrated stock optimization in paper factory |
CN101950388A (en) * | 2010-09-15 | 2011-01-19 | 华南理工大学 | Comprehensive optimization method and system for order scheduling of pulping and paper making enterprises |
-
2011
- 2011-12-05 CN CN2011103975457A patent/CN102521690A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101359380A (en) * | 2008-09-02 | 2009-02-04 | 浙江理工大学 | Model building and optimizing method for mass customization of two-dimension time-space correlation |
CN101587573A (en) * | 2009-07-06 | 2009-11-25 | 华南理工大学 | Method of rolled paper cutting and integrated stock optimization in paper factory |
CN101950388A (en) * | 2010-09-15 | 2011-01-19 | 华南理工大学 | Comprehensive optimization method and system for order scheduling of pulping and paper making enterprises |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103345711A (en) * | 2013-07-08 | 2013-10-09 | 济钢集团有限公司 | Iron and steel procedure resource balance system |
CN103345711B (en) * | 2013-07-08 | 2016-08-17 | 济钢集团有限公司 | A kind of iron and steel operation equilibrium of stock system |
CN104484161B (en) * | 2014-06-11 | 2017-12-01 | 国家电网公司 | The method for establishing model of provincial electric-power metering center production schedule predictive software systems |
CN104484161A (en) * | 2014-06-11 | 2015-04-01 | 国家电网公司 | Model and method of provincial electric power metering center production plan prediction software system |
CN105825305B (en) * | 2016-03-22 | 2019-06-04 | 西北工业大学 | A kind of product mix optimization the improvement of problem analytic method based on TOC |
CN105825305A (en) * | 2016-03-22 | 2016-08-03 | 西北工业大学 | Theory of constraints (TOC)-based product mix optimization problem improved analytic method |
CN105913147A (en) * | 2016-04-11 | 2016-08-31 | 西北工业大学 | Surplus capability redistribution-based product combination optimization problem solving method |
CN105913147B (en) * | 2016-04-11 | 2021-07-16 | 西北工业大学 | Product combination optimization problem solution based on residual capacity redistribution |
EP3540661A1 (en) * | 2018-03-15 | 2019-09-18 | Siemens Industry Software Ltd. | Method for balancing a production line |
US10948902B2 (en) | 2018-03-15 | 2021-03-16 | Siemens Industry Software Ltd. | Method and system for workload balancing of a production line |
CN114493199A (en) * | 2022-01-11 | 2022-05-13 | 电子科技大学 | Intelligent cloud scheduling method based on small-sized cross-medium enterprises |
CN114493199B (en) * | 2022-01-11 | 2023-04-18 | 电子科技大学 | Intelligent cloud scheduling method based on small-sized cross-medium enterprises |
CN116452243A (en) * | 2023-05-11 | 2023-07-18 | 长沙麦可思信息科技有限公司 | Enterprise order prediction method, system and medium based on big data |
CN116452243B (en) * | 2023-05-11 | 2023-08-29 | 长沙麦可思信息科技有限公司 | Enterprise order prediction method, system and medium based on big data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102521690A (en) | Method for optimizing product order of enterprise | |
Chompu-Inwai et al. | A combination of Material Flow Cost Accounting and design of experiments techniques in an SME: the case of a wood products manufacturing company in northern Thailand | |
Zahraee et al. | Lean manufacturing analysis of a Heater industry based on value stream mapping and computer simulation | |
CN108305043A (en) | Single-piece flow Production MIS | |
Shinkevich et al. | Key directions of automation of petrochemical production | |
CN102183931A (en) | Time-constraint-based scheduling optimization method for machining production process | |
Razzhivina et al. | Application of information technologies and principles of lean production for efficiency improvement of machine building enterprises | |
Borsos et al. | The use KPI's to determine the waste in production process | |
Kholmatov | Development Of The Saving Factor In The Agriculture Of Uzbekistan | |
CN110956360B (en) | Object-oriented ship body section workshop planning production scheduling and publishing method and system | |
Ade et al. | Lean manufacturing and productivity improvement in coal mining | |
Krassi et al. | ManuVAR: a framework for improving manual work through virtual and augmented reality | |
Kavosa et al. | Value Stream Mapping: Effective Process Improvement Tool in the Certification Process | |
CN103455853B (en) | The procreative collaboration operational method of the multistage part of a kind of multistage supplier | |
Whitehouse et al. | Output Trends: Prospects and Problems | |
Markosyan et al. | Project management: main stages and approaches | |
Tomov | The Innovative Development Base of Automation In the Industrial Sphere | |
Muftiadi et al. | Analysis on sources of inefficiency in the construction sector: high cost of infrastructure development in Indonesia | |
Panday et al. | Optimizing Strategy To Leverage Profit Of A Home Industry | |
Łyszkowska | Application of the Lean Management methodology in Polish companies | |
Ozsan et al. | Application of linear programming in production planning at marble processing plants | |
Akhigbe et al. | Production Planning and Operational Efficiency in the Food and Beverage Industry in Nigeria. | |
Esmaeili et al. | Identifying The Influencing Factors Of Design Standardization In The Industrialization Of Architecture: Review And Future Directions | |
Khadzhynova | CORPORATE MODELS OF DIGITAL TRANSFORMATION OF ECONOMIC SECURITY SYSTEM | |
Tanaka | Industrial Development and Development Strategies; some review of past arguments |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120627 |