CN102496080A - Method for utilizing cloud server linear programming to make optimized strategy of ordering - Google Patents
Method for utilizing cloud server linear programming to make optimized strategy of ordering Download PDFInfo
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- CN102496080A CN102496080A CN2011104408482A CN201110440848A CN102496080A CN 102496080 A CN102496080 A CN 102496080A CN 2011104408482 A CN2011104408482 A CN 2011104408482A CN 201110440848 A CN201110440848 A CN 201110440848A CN 102496080 A CN102496080 A CN 102496080A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 235000019504 cigarettes Nutrition 0.000 claims abstract description 7
- 238000013178 mathematical model Methods 0.000 claims abstract description 4
- 238000005457 optimization Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 241000208125 Nicotiana Species 0.000 description 1
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000008676 import Effects 0.000 description 1
Abstract
The invention discloses a method for utilizing cloud server linear programming to make an optimized strategy of ordering, belonging to the electronic commerce cloud field. The method comprises the following steps: a. a retailer inputs a sum and selects a cigarette scope through a service platform and submits the sum and the cigarette scope to a cloud platform; b. according to a linear programming model theory, the cloud platform establishes a mathematical model for retailer data and carries out calculation solution on the model, a simplex tableau method is employed in a solving process, and a circulation mode is used to obtain an optimized integer solution which is an abstract data result; c. the cloud platform returns the result to the retailer, and a browser terminal organizes and displays an optimal order scheme used for guiding the retailer to carry out goods purchase. Compared with the prior art, according to the method, the cloud platform is utilized to provide a mathematical calculation model based on linear programming and provide a scientific order distribution strategy for the retailer, an effect of profit maximization can be obtained, and the method has a good popularization application value.
Description
Technical field
The present invention relates to ecommerce cloud service field, specifically a kind of method of utilizing high in the clouds server linear programming to formulate the order optimization strategy.
Background technology
In field of tobacco, the retail family is meant the owner who is engaged in retail trade, and they are when ordering the cigarette commodity, because cigarette is carried out monopoly system, can be limited the quantity of, condition restriction such as order fund.At present, the retail householder will order goods according to each restrictive condition and marketing experience, is difficult to generate profit maximized requirement.
Summary of the invention
Technical assignment of the present invention is the deficiency to above-mentioned prior art, and a kind of method of utilizing high in the clouds server linear programming to formulate the order optimization strategy is provided.
Technical assignment of the present invention is realized by following mode: utilize high in the clouds server linear programming to formulate the method for order optimization strategy, may further comprise the steps:
The cloud platform is submitted to through the service platform input amount of money and selection cigarette scope in a, retail family;
After b, cloud platform receive request, according to the linear programming model theory retail user data is set up mathematical model, the cloud platform calculates this model and finds the solution then; Solution procedure adopts simple property table method to find the solution, and obtains optimum integer solution with recycle design, and said optimum integer solution both had been abstract data result;
C, cloud platform return to the retail family with the result, and the browser end tissue demonstrates the Optimal Order scheme, are used for instructing the retail family to carry out commodity shopping.
Of the present invention utilize method that high in the clouds server linear programming formulates the order optimization strategy through the limited fund in reasonable distribution retail family with resource such as limit the quantity of; Utilize the cloud service platform to make rational order strategy for the retail family, reach maximized effect thereby obtain profit.
Embodiment
Explanation at length below with specific embodiment the method for utilizing high in the clouds server linear programming to formulate the order optimization strategy of the present invention being done.
Embodiment:
Method of the present invention utilizes the cloud platform to provide with the linear programming to be the mathematics computing model on basis, offers the order allocation strategy of retail family science, brings the effect of profit maximization.Realized the linear programming modeling at cloud platform end, modeling that linear programming is found the solution and the linear programming integer is found the solution and solution procedure.
Specifically, may further comprise the steps:
A, retail family are opened this service through service platform at browser, import the amount of money then and select the cigarette scope, submit to the cloud platform and handle;
After b, cloud platform receive request, according to the linear programming model theory retail user data is set up mathematical model, the cloud platform calculates this model and finds the solution then.Solution procedure adopts simple property table method to find the solution, and obtains optimum integer solution with recycle design.This optimum integer solution both had been abstract data result.
The concrete logic that calculating is found the solution:
1) through simple property table computing method computation model optimum solution
2) judging that optimum solution is a then return results of integer solution, is not then to carry out following steps
3) through branch and bound method the constraint condition of model is made amendment, find out the optimum integer solution that needs through iterative computation.
The basic thought of said branch and bound method:
1, the optimum solution in the hope of the corresponding linear planning problem is a starting point; If what obtain separates the integer condition that do not meet; Just the initial planning problem is divided into several, every has increased constraint condition, has promptly dwindled area of feasible solution; The feasible solution scope has also been dwindled thereupon, thereby the optimal value of integer programming can not be superior to corresponding linear planning optimal value
2, " demarcation " be meant to objective function and decide bound so that cast out the relatively poor subproblem of those optimal values automatically, improve counting yield.When the bound of the optimal objective function value of integer programming problem equated, this integer programming optimum solution was obtained.
The cloud platform returns to the retail family with the result, and the browser end tissue demonstrates the Optimal Order scheme, is used for instructing the retail family to carry out commodity shopping.
Claims (1)
1. utilize high in the clouds server linear programming to formulate the method for order optimization strategy, it is characterized in that may further comprise the steps:
The cloud platform is submitted to through the service platform input amount of money and selection cigarette scope in the retail family;
After the cloud platform receives request, according to the linear programming model theory retail user data is set up mathematical model, the cloud platform calculates this model and finds the solution then; Solution procedure adopts simple property table method to find the solution, and obtains optimum integer solution with recycle design, and said optimum integer solution both had been abstract data result;
The cloud platform returns to the retail family with the result, and the browser end tissue demonstrates the Optimal Order scheme, is used for instructing the retail family to carry out commodity shopping.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104408482A CN102496080A (en) | 2011-12-26 | 2011-12-26 | Method for utilizing cloud server linear programming to make optimized strategy of ordering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104408482A CN102496080A (en) | 2011-12-26 | 2011-12-26 | Method for utilizing cloud server linear programming to make optimized strategy of ordering |
Publications (1)
| Publication Number | Publication Date |
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| CN102496080A true CN102496080A (en) | 2012-06-13 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011104408482A Pending CN102496080A (en) | 2011-12-26 | 2011-12-26 | Method for utilizing cloud server linear programming to make optimized strategy of ordering |
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| CN (1) | CN102496080A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9407676B2 (en) | 2013-11-25 | 2016-08-02 | At&T Intellectual Property I, Lp | Method and apparatus for distributing media content |
| CN109029475A (en) * | 2018-05-23 | 2018-12-18 | 广西中烟工业有限责任公司 | Tobacco retail customer based on cloud computing visits path planning visual analysis system |
| CN111428927A (en) * | 2020-03-23 | 2020-07-17 | 中国人民解放军军事科学院军事科学信息研究中心 | Weapon equipment purchasing provider selection method and device based on delimiting algorithm |
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| CN1333896A (en) * | 1998-10-27 | 2002-01-30 | 株式会社阿玛达 | Sales assisting system |
| CN101969475A (en) * | 2010-11-15 | 2011-02-09 | 张军 | Business data controllable distribution and fusion application system based on cloud computing |
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2011
- 2011-12-26 CN CN2011104408482A patent/CN102496080A/en active Pending
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| CN1333896A (en) * | 1998-10-27 | 2002-01-30 | 株式会社阿玛达 | Sales assisting system |
| CN101969475A (en) * | 2010-11-15 | 2011-02-09 | 张军 | Business data controllable distribution and fusion application system based on cloud computing |
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| 杨丽，高俊宇: "最优化方法在数学建模中的应用", 《沧州师范专科学校学报》 * |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9407676B2 (en) | 2013-11-25 | 2016-08-02 | At&T Intellectual Property I, Lp | Method and apparatus for distributing media content |
| US9942313B2 (en) | 2013-11-25 | 2018-04-10 | At&T Intellectual Property I, L.P. | Method and apparatus for distributing media content |
| US10447776B2 (en) | 2013-11-25 | 2019-10-15 | At&T Intellectual Property I, L.P. | Method and apparatus for distributing media content |
| CN109029475A (en) * | 2018-05-23 | 2018-12-18 | 广西中烟工业有限责任公司 | Tobacco retail customer based on cloud computing visits path planning visual analysis system |
| CN109029475B (en) * | 2018-05-23 | 2022-02-18 | 广西中烟工业有限责任公司 | Tobacco retail customer visit path planning visual analysis method based on cloud computing |
| CN111428927A (en) * | 2020-03-23 | 2020-07-17 | 中国人民解放军军事科学院军事科学信息研究中心 | Weapon equipment purchasing provider selection method and device based on delimiting algorithm |
| CN111428927B (en) * | 2020-03-23 | 2023-09-26 | 中国人民解放军军事科学院军事科学信息研究中心 | Method and device for selecting weapon equipment purchasing suppliers based on delimitation algorithm |
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Application publication date: 20120613 |