Intelligent management systems in operations: a review

被引:10
作者
Proudlove, NC
Vadera, S
Kobbacy, KAH [1 ]
机构
[1] Univ Salford, Ctr Operat Res & Appl Stat, Salford M5 4WT, Lancs, England
[2] UMIST, Manchester M60 1QD, Lancs, England
关键词
artificial intelligence; decision support systems; expert systems; management; operations; production;
D O I
10.2307/3010239
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Operations management is an area that has recently started to benefit from the use of AI techniques such as expert systems, neural networks and genetic algorithms. These techniques can extend the usefulness of OR modelling and enable new types of decision tasks to be supported by computer-based systems. This paper attempts to review 'intelligent' decision support systems and their potential to address some of the problems faced in various areas of operations management. Some useful techniques developed in the field of artificial intelligence are outlined and examples of attempts to use these approaches to support decision making in various areas of operations management are described. Recognising the scale of a complete review of all these areas, emphasis has been given to the most significant and more recent publications.
引用
收藏
页码:682 / 699
页数:18
相关论文
共 188 条
[1]  
ABEDZADEH M, 1997, P 1 EUR C INT MAN SY, P127
[2]   Machine understanding of manufacturing features [J].
Allada, V ;
Anand, S .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (07) :1791-1819
[3]   A knowledge-based approach to the generation of IDEFO models [J].
Ang, CL ;
Luo, M ;
Khoo, LP ;
Gay, RKL .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (05) :1385-1412
[4]  
[Anonymous], 1977, ADMIN SCI QUART
[5]  
[Anonymous], 1990, COMMUN ACM
[6]  
[Anonymous], 1995, A Review of Industrial Case-Based Reasoning Tools
[7]  
[Anonymous], INTELLIGENT SCHEDULI
[8]  
[Anonymous], DECISION SUPPORT SYS
[9]  
ARAVINDAN P, 1996, INT J OPER PROD MAN, V13, P57
[10]  
ARIAV G, 1988, DSS 88 T, pR1