A Class of Collocating Problem in Production and its Optimization Models

Article Preview

Abstract:

The paper gives a general description of a typical combinatorial optimization problem-the collocation problem of production, and respectively establish the integer linear programming model based on the collocation ways and the integer linear programming model based on the optimal collocation amounts and the integer nonlinear programming model based on the local optimum. In the solving methods of the models, we have mainly analyzed the enumeration method and the method by using LINGO optimization software to solve the model. The instance shows that the models and solutions are all effective. The first model reflects the mechanism of the collocation problem better and gets the global optimal solution most likely, but more difficult to solve large-scale; the second model can quickly obtain the optimal the numbers of the finished products and all kinds of materials consumptions, but still need to enumerate the collocation ways step by step; the third model can gets the local optimal solution and the specific collocation ways through solving the model circularly. The optimization models and solution methods in this paper can be extended to the similar sub-problems of the combinatorial optimization problems, such as assembly problem, packing problem, the cutting problem, etc.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1215-1220

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] YUE-Mingyi,the Introduction of combinatorial optimization,Chinese Journal of Operations Research, Vol. 7, No. 1, Jnue 1988, P36-40.

Google Scholar

[2] HU Xiao-bing, HUANG Xi-yue, Solving 0-1 knapsack problem based on ant colony optimization algorithm, Journal of systems engineering, Vol. 20 No. 5, 2005. 10, P520-523.

Google Scholar

[3] CHEN Duan-bing, LU Jing-fa, SHANG Ming-sheng, FU Yan, An intelligent enumerative algorithm for solving rectangle packing problem. Journal of Chongqing University of Posts and Telecommunications (Natural Science), Vol. 20, No. 4, 2008. 4, P447-452.

Google Scholar

[4] ZENG Li-ping, HUANG Wen-qi, An Intelligent Enumeration Algorihm for Job Shop Scheduling Promleb, Computer Engineering and applications, 2004(30), P31-34.

Google Scholar

[5] XIAO Chi-xin, CAI Zi-xing, WANG Yong, Evolutionary strategy of lexicographic order for combinational problem. Control Theory & Applications, Vol. 27 No. 4, Apr. 2010, P473-478.

Google Scholar