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Expert systems (ES) have produced much excitement in recent years. Because a great deal of experience and knowledge are captured in the ES, there may be no need to consult a specialist for every decision in the given area. A properly designed expert system thus has in its knowledge base a wide collection of facts, relationships, and rules specific to that domain.Expert systems have been published in a number of logistics-related areas. Application domains include inventory management, vehicle routing, warehousing, combined production/distribution systems, and the scheduling of machines and flexible manufacturing cells. General surveys of ES methods are available for decisions in industrial engineering, logistics, and intelligent manufacturing.In this article, we develop an expert system for the selection of material handling equipment. The paper begins by outlining the steps in choosing such equipment for a warehouse or factory. We next discuss their knowledge embedded in our ES in various databases and groups of rules.The article then presents a complete run of the expert system. The user responds to a sequence of questions, resulting in a short-list of feasible equipment. This is ranked according to “distance,” the closeness of each to (nonexistent) ideal equipment for the particular application. The distances are derived from multi-attribute decision making (MADM). Brief appendices deal with MADM and the database concepts used in our ES. Throughout, the presentation is aimed at logisticians who may not be specialist in the technical issues involved.
Proceedings of the Third IDMME Conference held in Montreal, Canada, May 2000
Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis. Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.
This book is aimed at both researchers and practitioners, and provides a collection of expert systems in manufacturing and production engineering along with their knowledge base and rules. We believe that inclusion of the knowledge base and associated rules is essential if practitioners are to derive full benefit from these expert systems. This unique book is the result of our belief and the efforts of our distinguished colleagues who subscribe to this philosophy. A total of 15 different expert systems are included in this book. These expert systems are preceded by an introductory chapter written by Kuo, Preface XVll Mital and Anand. The expert system rules are included on a floppy disk in ASCII and can be easily accessed. These rules and the description of the expert system's structure should assist the users in customizing these systems. Overall, the expert systems included in this volume cover a fairly wide variety of manufacturing and production engineering topics.