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
[21]   NEURAL NETWORKS AND THE PART FAMILY MACHINE GROUP FORMATION PROBLEM IN CELLULAR MANUFACTURING - A FRAMEWORK USING FUZZY ART [J].
BURKE, L ;
KAMAL, S .
JOURNAL OF MANUFACTURING SYSTEMS, 1995, 14 (03) :148-159
[22]   EXPERT SYSTEMS IN PRODUCTION AND OPERATIONS MANAGEMENT - RESULTS OF A SURVEY [J].
BYRD, TA .
INTERFACES, 1993, 23 (02) :118-129
[23]  
CEBECI U, 1997, P 1 EUR C INT MAN SY, P117
[24]   INDUSTRIAL APPLICATIONS OF DISTRIBUTED AI [J].
CHAIBDRAA, B .
COMMUNICATIONS OF THE ACM, 1995, 38 (11) :49-53
[25]   A neural fuzzy control chart for detecting and classifying process mean shifts [J].
Chang, SI ;
Aw, CA .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (08) :2265-2278
[26]  
Charnes A, 1978, EUR J OPER RES, V17, P35
[27]   Indentifying attributes for knowledge-based development in dynamic scheduling environments [J].
Chen, CC ;
Yih, Y .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (06) :1739-1755
[28]   A neural network approach for the analysis of control chart patterns [J].
Cheng, CS .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (03) :667-697
[29]   DESIGN AND DEVELOPMENT OF AN INTELLIGENT MACHINING SYSTEM [J].
CHOW, JG ;
SAKAL, RL .
COMPUTERS & INDUSTRIAL ENGINEERING, 1995, 29 :693-697
[30]  
Christodoulou N., 1994, Practical Application of Prolog. Proceedings of the Second International Conference on the Practical Application of Prolog, P137