会议专题

Multi-objective Model and Heuristic Algorithm for Integrated Inventory Matching Problem in Modern Steel Enterprises

This paper concentrates on the integrated inventory matching problem (IIMP) in modern 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.

integrated inventory matching multi-objective model cold-rolled coil hot-rolled coil slab

Cantao Shi Ting Li Yang Xi Tieke Li

School of Economics and Management, University of Science and Technology Beijing, Beijing, China Eng Business School, Beijing Institute of Fashion Technology, Beijing, China

国际会议

2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

成都

英文

823-827

2010-12-17(万方平台首次上网日期,不代表论文的发表时间)