A Heuristic Algorithm for Integrated Surplus Inventory Matching Problem in Steel Enterprises

Can Tao Shi; Ting Li; Yu Zhuo Liu

doi:10.4028/www.scientific.net/AMM.423-426.2178

Paper Titles

A Study of Environmental Risk Comparison Based on Set Pair Analysis Theory
p.2161

Research on Capacity-Constrained Manufacturing/Remanufacturing Hybrid System with Outsourcing
p.2166

Supply Chain Modeling Based on Multi-AGENT Research
p.2170

Performance Evaluation of Green Supply Chain Based on Catastrophe Progression Method
p.2174

A Heuristic Algorithm for Integrated Surplus Inventory Matching Problem in Steel Enterprises
p.2178

A Modified Genetic Algorithm for Total Processing Time Minimization in the Manufacturing Process Planning Problem
p.2184

An Evolutionary Game Model of the Establishment of Tracebility System in Food Supply Chain
p.2190

Decision Making and Economic Analysis for Accelerated Bridge Construction
p.2196

Introducing Project-Based Learning to Design Enterprises for Creativity
p.2202

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426A Heuristic Algorithm for Integrated Surplus...

A Heuristic Algorithm for Integrated Surplus Inventory Matching Problem in Steel Enterprises

Abstract:

This paper concentrates on the integrated surplus inventory matching problem (ISIM) in steel enterprises in which the three main product types, slab, hot-rolled coil and cold-rolled coil, are taken into account. A multi-objective model is formulated to maximize the total weight of matched products and to minimize the total cost involved. A heuristic algorithm is proposed on the basis of the analysis on the problem. The experimental results show the model and algorithm are effective.

You might also be interested in these eBooks

Applied Materials and Technologies for Modern Manufacturing

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2178-2183

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2178

Citation:

Cite this paper

Online since:

September 2013

Authors:

Can Tao Shi*, Ting Li, Yu Zhuo Liu

Keywords:

Heuristic Algorithm , Multi-Objective Model, Steel Enterprises, Surplus Inventory Matching

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Vasko F J, Cregger M L, Stott K L, Woodyatt L R. Computers and Industrial Engineering, vol. 26, no. 4, 1994, pp.794-800.

DOI: 10.1016/0360-8352(94)90015-9

Google Scholar

[2] Kalagnanam J, Dawande M W, Trumbo M, et al. Operation Research, vol. 48, no. 4, 2000, pp.505-516.

Google Scholar

[3] Y. Wang, Y. Cai, T. Li. Science Technology and Industry, vol. 5, no. 11, 2005, pp.37-39 (in Chinese).

Google Scholar

[4] S. Sun, Y. Xiao, T. Li. Journal of University of Science and Technology Beijing, vol. 30, no. 6, 2008, pp.680-684 (in Chinese).

Google Scholar

[5] Z. Tian, L. Tang, Y. Ren et al. Acta Automatica Sinica. vol. 35, no. 2, 2009, pp.186-192.

Google Scholar

[6] X. Huang, K. Hu, H. Li, et al. Mathematical Programming Model and Algorithms for Production Planning with Considering Slab Matching. In Proceeding of the Second International Conference on Machine Learning and Cybernetics, Xi'an 2003, p.2055-(2060).

DOI: 10.1109/icmlc.2003.1259842

Google Scholar

[7] Hu, C. Chang, B. Zheng, et al. Information and Control. vol. 33, no. 2, 2004, pp.177-180 (in Chinese).

Google Scholar

[8] Hu, W. Chen, D. Wang. System Engineering Theory Method and Application, vol. 13, no. 3, 2004, pp.199-202 (in Chinese).

Google Scholar