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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.
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.
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.
With the approach of the 21st century, and the current trends in manufacturing, the role of computer-controlled flexible manufacturing an integral part in the success of manufacturing enterprises. will take Manufacturing environments are changing to small batch (with batch sizes diminishing to a quantity of one), larger product variety, produc tion on demand with low lead times, with the ability to be 'agile.' This is in stark contrast to conventional manufacturing which has relied on economies of scale, and where change is viewed as a disruption and is therefore detrimental to production. Computer integrated manufac turing (CIM) and flexible manufacturing practices are a key component in the transition from conventional manufacturing to the 'new' manu facturing environment. While the use of computers in manufacturing, from controlling indi vidual machines (NC, Robots, AGVs etc.) to controlling flexible manu facturing systems (FMS) has advanced the flexibility of manufacturing environments, it is still far from reaching its full potential in the environment of the future. Great strides have been made in individual technologies and control of FMS has been the subject of considerable research, but computerized shop floor control is not nearly as flexible or integrated as hyped in industrial and academic literature. In fact, the integrated systems have lagged far behind what could be achieved with existing technology.
This book has been written for all those interested in flexible manufacturing systems (FMS) and other forms of computerized manufacturing systems (CMS). It deals with many aspects of the design, operation, and simulation of FMS and explains the origins of FMS.
This volume includes the proceedings from Proceedings of the Ninth International Conference Fukuoka, Japan, June 4-7, 1996. This work represents a broad spectrum of new ideas in the field of applied artificial intelligence and expert systems, and serves to disseminate information regarding intelligent methodologies and their implementation in solving various problems in industry and engineering.
Control and Dynamic Systems: Advances in Theory and Applications, Volume 48: Manufacturing and Automation Systems: Techniques and Technologies, Part 4 of 5 deals with techniques and technologies in manufacturing and automation systems. This book begins by discussing the advances of techniques for measuring the effectiveness of investments in automation and manufacturing systems. It then turns to graphical concurrent modeling language (GCML), a program used to model and analyze discrete manufacturing systems. This book also presents techniques for modeling solids; strategies for design optimization of machine products; design and control of industrial robots; and other optimization methodologies for manufacturing, robotic, and automation systems. This book will provide a uniquely significant reference for those who are interested in manufacturing, robotics, and automation systems.
This book comprises the select proceedings of the International Conference on Emerging Trends in Mechanical and Industrial Engineering (ICETMIE) 2019. The conference covers current trends in thermal, design, industrial, production and other sub-disciplines of mechanical engineering. This volume focuses on different industrial and production engineering areas such as additive manufacturing, rapid prototyping, computer aided engineering, advanced manufacturing processes, manufacturing management and automation, sustainable manufacturing systems, metrology, manufacturing process optimization, operations research and decision-making models, production planning and inventory control, supply chain management, and quality engineering. The contents of this book will be useful for students, researchers and other professionals interested in industrial and production engineering.
Neutrosophic theory and applications have been expanding in all directions at an astonishing rate especially after the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structure such as rough neutrosophic set, single valued neutrosophic rough set, bipolar neutrosophic set, single valued neutrosophic hesitant fuzzy set, etc. are proposed in the literature in a short period of time. Neutrosophic set has been a very important tool in all various areas of data mining, decision making, e-learning, engineering, medicine, social science, and some more. The book “New Trends in Neutrosophic Theories and Applications” focuses on theories, methods, algorithms for decision making and also applications involving neutrosophic information. Some topics deal with data mining, decision making, e-learning, graph theory, medical diagnosis, probability theory, topology, and some more. 30 papers by 39 authors and coauthors.