Expert systems and their applications in production and operations management

Abstract Recently, the world competitive environment has forced organizations to reexamine and reevaluate their manufacturing strategies. Large capital investments in machine tools and management control systems are being made. The application of expert systems in the production environment has been steadily increasing. This paper examines the concepts of expert systems and reviews the literature pertinent to the areas of application in production management such as scheduling, layout planning and tools used in applying these concepts such as simulation and optimization. It has been concluded that due to increasing automation requirements in manufacturing and the intensified organizational competitive environment, the decision making process itself will have to be automated. It has been suggested that expert systems could be a vehicle in achieving this. This paper examines the applications of expert systems in production and operations management. The technology of expert systems is still in its infancy and many researchers see learning as a major problem. As expert systems become more readily available, the management issues of safety, validity and reliability will become more crucial. The compensation on transferring of knowledge is unclear. Also, the fear of replacement of white collar jobs is growing.

[1]  Ramasamy Uthurusamy,et al.  Promises and Pitfalls of Knowledge Systems: An Overview , 1986 .

[2]  Heimo H. Adelsberger,et al.  Expert systems and simulation , 1985 .

[3]  Colin Runciman,et al.  Expert system guides CAD for automatic assembly , 1985 .

[4]  David Ben-Arieh,et al.  Manufacturing system application of knowledge-based simulation , 1986 .

[5]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[6]  Joseph G. Monks.  Schaum's outline of theory and problems of operations management , 1985 .

[7]  Hubert L. Dreyfus,et al.  Why Expert Systems Do Not Exhibit Expertise , 1986, IEEE Expert.

[8]  Mark C. Maletz,et al.  The Manufacturing Game: A Formal Approach to Manufacturing Software , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Richard A. Wysk,et al.  An expert system for machining data selection , 1986 .

[10]  Bruce G. Buchanan,et al.  Dendral and Meta-Dendral: Their Applications Dimension , 1978, Artif. Intell..

[11]  Harry E. Pople,et al.  An Experimental Computer-Based Diagnostic Consultant for General Internal Medicine , 1982 .

[12]  Linda Hendry.  The potential impact of artificial intelligence on the practice of OR , 1987 .

[13]  A. Kusiak,et al.  Analysis of expert systems in manufacturing design , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Efraim Turban,et al.  Applications of decision support and expert systems in flexible manufacturing systems , 1986 .

[15]  Efraim Turban,et al.  Integrating Expert Systems and Decision Support Systems , 1986, MIS Q..

[16]  M. Rahman,et al.  An expert system for process planning , 1987 .

[17]  Duvvuru Sriram,et al.  A Bibliography on Knowledge-Based Expert Systems in Engineering , 1984 .

[18]  Bernard Sauve,et al.  An expert system for scheduling in a flexible manufacturing system , 1987 .

[19]  Heimo H. Adelsberger,et al.  Expert systems in production scheduling , 1987 .

[20]  R. I. Phelps.  Artificial Intelligence—An Overview of Similarities with O.R. , 1986 .

[21]  Harry E. Pople,et al.  The Formation of Composite Hypotheses in Diagnostic Problem Solving: An Exercise in Synthetic Reasoning , 1977, IJCAI.

[22]  Jay Liebowitz,et al.  Expert scheduling systems: Survey and Preliminary design concepts , 1987, Appl. Artif. Intell..

[23]  Stanley M. Halpin,et al.  Adaptive User Interfaces for Planning and Decision Aids in C3I Systems , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[24]  A. Mukherjee,et al.  An Expert System For Decision Making In Nonmonotonic Domain , 1991, TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.

[25]  John Jenkins,et al.  Expert knowledge, expert systems and commercial interests , 1985 .

[26]  John S. Chandler,et al.  Auditor: a microcomputer‐based expert system to support auditors in the field , 1985 .

[27]  Bernard J. Schroer,et al.  An expert manufacturing simulation system , 1987, Simul..

[28]  William R. Swartout,et al.  Explaining and Justifying Expert Consulting Programs , 1981, IJCAI.

[29]  J. K. Kastner,et al.  A review of expert systems , 1984 .

[30]  Richard Kendall Miller,et al.  Artificial Intelligence Applications in Manufacturing , 1989 .

[31]  Janice I. Glasgow,et al.  Programming languages for artificial intelligence , 1985 .

[32]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[33]  Andrew Kusiak,et al.  Artificial Intelligence And Operations Research In Flexible Manufacturing Systems , 1987 .

[34]  John C. Lusth,et al.  A Second Generation Expert System for Diagnosis and Repair of Mechanical and Electrical Devices , 1986 .

[35]  Andrew Kusiak,et al.  Expert systems for planning and scheduling manufacturing systems , 1988 .

[36]  Helmut Engelke,et al.  Integrated Manufacturing Modeling System , 1985, IBM J. Res. Dev..

[37]  Karl G. Kempf.  Manufacturing and artificial intelligence , 1985, Robotics.

[38]  P. Holroyd,et al.  Developing expert systems for management applications , 1985 .

[39]  William S. Faught,et al.  Applications of AI in Engineering , 1986, Computer.

[40]  Peter Mertens,et al.  Expert systems in production management: An assessment , 1986 .

[41]  Ian Benson.  Prospector: an expert system for mineral exploration , 1986 .

[42]  Efraim Turban.  Expert systems—another frontier for industrial engineering , 1986 .

[43]  Pietro Laface,et al.  A Rule-Based System to Schedule Production , 1986, Computer.

[44]  Joseph G. Monks,et al.  Operations Management: Theory and Problems , 1977 .

[45]  Max Donath,et al.  EXPERT SYSTEM MODEL OF THE DESIGN PROCESS. , 1985 .

[46]  John P. McDermott,et al.  R1: A Rule-Based Configurer of Computer Systems , 1982, Artif. Intell..

[47]  Gavriel Salvendy,et al.  On the limits of expert systems and engineering models in process control , 1987 .

[48]  Andrew B. Whinston,et al.  Business Expert Systems , 1987 .

[49]  D. Michie,et al.  Expert systems in business , 1983 .

[50]  Douglas D. Dankel,et al.  Expert Systems: Misconceptions and Reality , 1986 .

[51]  Edward A. Feigenbaum,et al.  The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering , 1977, IJCAI.

[52]  Timothy J. Greene,et al.  HIERARCHIES OF SUB-PERIODS IN CONSTRAINT-DIRECTED SCHEDULING. , 1986 .

[53]  James L. Riggs,et al.  Production Systems: Planning, Analysis, and Control , 1976 .

[54]  Mark S. Fox.  Industrial Applications of Artificial Intelligence , 1986 .

[55]  Peter Jackson,et al.  Introduction to expert systems , 1986 .

[56]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[57]  Chelsea C. White,et al.  A User Preference Guided Approach to Conflict Resolution in Rule-Based Expert Systems , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[58]  Soundar Kumara,et al.  Expert systems in industrial engineering , 1986 .

[59]  Shanthakumar Palaniswami.  Expert simulation systems for manufacturing planning , 1987 .

[60]  John W. Richardson.  Implementing an Expert System for Process Planning , 1986 .

[61]  R. Duda,et al.  Expert Systems Research. , 1983, Science.

[62]  Ralph V. Rogers,et al.  Maintenance considerations in CIM design: an expert system perspective , 1986 .

[63]  John E. Biegel.  The future role of artificial intelligence (AI) in manufacturing , 1986 .

[64]  Kenneth Fordyce,et al.  Artificial Intelligence and the Management Science Practitioner: Links between Operations Research and Expert Systems , 1987 .

[65]  Robert S. Freeman,et al.  Where Are We, and Where Do We Go from Here? , 1987 .

[66]  Peter J. Denning,et al.  Towards a Science of Expert Systems , 1991, IEEE Expert.

[67]  Efraim Turban,et al.  Decision Support and Expert Systems: Managerial Perspectives , 1990 .

[68]  Roderick A. Smith.  Infotech State of the Art Report—Microprocessors , 1977 .

[69]  T. J. Grant,et al.  Lessons for O.R. from A.I.: A Scheduling Case Study , 1986 .

[70]  Kazuaki Iwata,et al.  The direction of future development and the role of knowledge in manufacturing technology , 1984 .

[71]  Randall Davis,et al.  Expert Systems: Where Are We? And Where Do We Go from Here? , 1982, AI Mag..

[72]  Herbert A. Simon.  Two Heads Are Better than One: The Collaboration between AI and OR , 1987 .

[73]  John E. Biegel.  The future role of expert systems in manufacturing , 1986 .

[74]  Rajan Suri,et al.  An overview of evaluative models for flexible manufacturing systems , 1985 .

[75]  P. T. Rayson,et al.  A review of expert systems principles and their role in manufacturing systems , 1985, Robotica.

[76]  Donald A. Waterman,et al.  A Guide to Expert Systems , 1986 .

[77]  Thomas J. Traughber.  Expert System for Tool Selection , 1986 .

[78]  Lawrence M. Fagan,et al.  Expert systems research: modeling the medical decision making process , 1982 .

[79]  Joseph M. Mellichamp,et al.  An expert system for FMS design , 1987, Simul..

[80]  H. E. Pople,et al.  Internist-I, an Experimental Computer-Based Diagnostic Consultant for General Internal Medicine , 1982 .

[81]  W MaloneThomas,et al.  Expert systems: the next challenge for managers , 1986 .

[82]  Thomas W. Malone,et al.  Expert systems: the next challenge for managers , 1986 .

[83]  Julius T. Tou.  Design of expert systems for integrated production automation , 1985 .