Shortest path based simulated annealing algorithm for dynamic facility layout problem under dynamic business environment

被引:43
作者
Dong, Ming [1 ]
Wu, Chang [1 ]
Hou, Forest [2 ]
机构
[1] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China
[2] Intel Prod Shanghai Ltd, Shanghai 200131, Peoples R China
关键词
Dynamic layout; Adding/removing machines; Shortest path algorithm; Simulated annealing algorithm; GENETIC SEARCH;
D O I
10.1016/j.eswa.2009.02.091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies a new kind of dynamic multi-stage facility layout problem under dynamic business environment, in which new machines may be added into, or old machines may be removed from the plant. We define this problem first on the basis of unequal area machines and continual presentation of layouts. Compared with nodes and arcs of the flow chart, we convert this problem into a shortest path problem by studying its cost function and machine adding/removing heuristic rules, and the corresponding mathematical model for this problem is established. An auction algorithm is proposed here to solve the shortest path problem. Finally, a shortest path based simulated annealing algorithm is presented to solve the optimization problem. Parameters of the SP based SA algorithm are discussed to improve the performance of the algorithm. Some cases are used to verify the proposed algorithm. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:11221 / 11232
页数:12
相关论文
共 23 条
[1]   A HEURISTIC ALGORITHM AND SIMULATION APPROACH TO RELATIVE LOCATION OF FACILITIES [J].
ARMOUR, GC ;
BUFFA, ES .
MANAGEMENT SCIENCE, 1963, 9 (02) :294-309
[2]   Genetic search and the dynamic layout problem [J].
Balakrishnan, J ;
Cheng, CH .
COMPUTERS & OPERATIONS RESEARCH, 2000, 27 (06) :587-593
[3]   A hybrid genetic algorithm for the dynamic plant layout problem [J].
Balakrishnan, JD ;
Cheng, CH ;
Conway, DG ;
Lau, CM .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2003, 86 (02) :107-120
[4]   A simulated annealing algorithm for dynamic layout problem [J].
Baykasoglu, A ;
Gindy, NNZ .
COMPUTERS & OPERATIONS RESEARCH, 2001, 28 (14) :1403-1426
[5]   Next generation factory layouts: Research challenges and recent progress [J].
Benjaafar, S ;
Heragu, SS ;
Irani, SA .
INTERFACES, 2002, 32 (06) :58-76
[6]  
BERSEKAS DP, 1992, MODIFIED AUCTION ALG
[7]  
BERSEKAS DP, 1991, SIAM J OPTIMIZ, V1, P425
[8]   ZONING IN FOREST MANAGEMENT - A QUADRATIC ASSIGNMENT PROBLEM SOLVED BY SIMULATED ANNEALING [J].
BOS, J .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1993, 37 (02) :127-145
[9]   GENETIC SEARCH AND THE DYNAMIC FACILITY LAYOUT PROBLEM [J].
CONWAY, DG ;
VENKATARAMANAN, MA .
COMPUTERS & OPERATIONS RESEARCH, 1994, 21 (08) :955-960
[10]   Dynamic programming algorithms for generating optimal strip layouts [J].
Cui, YD ;
Huang, L .
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2006, 33 (2-3) :287-301