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Cellular Manufacturing Systems: Recent Developments, Analysis and Case Studies $310.00
Editors: Gürsel A. Süer and Mitsuo Gen (ISE Department, Ohio University, Athens, Ohio, USA and Fuzzy Logic Systems Institute, Japan and Tokyo University of Science, Japan)
Book Description:
The Chapters included in this book represent the work from USA, Canada, Japan, China, India, Iran, Netherlands, Turkey, Slovakia, and Portugal. The book attempts to cover cellular manufacturing area from various different angles. In terms of solution techniques, different approaches such as heuristics, mathematical models, networks models, genetic algorithm approaches, artificial neural networks, knowledge-based algorithms, space search algorithm, simulated annealing, fuzzy concepts, analytic hierarchy process, and simulation are included in the book. As to performance measures, most chapters target single objective whereas some others cover multiple objectives. In terms of complexity of the problems, we can divide them into simpler single phase problems versus more complex problems that require multiple-phase solutions. Most of the chapters discuss deterministic problem. On the other hand, a few of the chapters focus on stochastic case. There are many new concepts and solution approaches covered in this book. The details of the material coverage is listed in the following paragraphs.
The book starts with the evolution of cellular manufacturing. In terms of design-related issues, it covers application of math modeling for cell formation, family and subfamily formation, production system selection, formation and evaluation of design alternatives, machine layout, dynamic cells, virtual cells, cell formation considering alternative routes, remainder cell, cell formation with product life cycle considerations, demand-variability based cell formation, layered cellular design, assembly cells, and recent Japanese approach called SERU cells. All types of cells, namely labor-intensive cells, machine-intensive cells and robotic cells are covered in the book.
In term of operational and control issues, human skills, manpower allocation, cell size determination, dispatching rules, parallel machine scheduling, flowshop scheduling, re-entrant flowshop scheduling, flexible job shop scheduling, assembly line balancing, process planning and scheduling, multiple-resource scheduling, cell loading and cell scheduling, synchronized flow, planning concepts such as period batch control, polka, Kanban, conwip and cobacabana are discussed.
Cases studies include the work in electromechanical assembly, bicycle manufacturing, igniter assembly system, jewelry manufacturing, and semi-conductor industry.
We believe that this book will be of value to students, researchers, academicians and practitioners.

Table of Contents:

Chapter 1. Cellular Manufacturing System Evolution from Group Technology to a Reconfigurable Manufacturing System: A Case Study of a Dynamic Cellular Manufacturing System (DCMS) in an Electromechanical Assembly Industry
(Georges Abdul-Nour, PhD, Sebastien Gamache, and Karim Nouri, Department of Industrial Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada)

Chapter 2. Mathematical Model Applications to Cell Formation
(G. Srinivasan, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India)

Chapter 3. Production System Configuration Selection in a Lean Environment Using Analytic Hierarchy Process
(A. C. Alves, M. F. Abreu, A. P. Tereso, P. V. Ferreira, Department of Production and Systems, Algoritmi Centre, University of Minho, Guimarães, Portugal)

Chapter 4. An Approach to the Evaluation of Cell Design Alternatives Based on a Complexity Indicator
(Vladimir Modrak and Zuzana Soltysova, Department of Manufacturing Management, Faculty of Manufacturing Technologies, Technical University of Kosice, Kosice, Slovakia, Slovakia)

Chapter 5. Integrative Methodology for Formation and Evaluation of Manufacturing Cells with Alternative Routings
(Dušan Šormaz, Srinivas Rajaraman, and Chintankumar Patel, Department of Industrial and Systems Engineering, Ohio University, Athens, OH, USA)

Chapter 6. The Design of a Focused Cellular Manufacturing System with a Remainder Cell: A Case Study
(Venkataramanaiah Saddikuti, Operations Management, Indian Institute of Management Lucknow, Lucknow, Uttar Pradesh, India)

Chapter 7. A Three-Phase Approach to Cellular Design Considering Product Life Cycle Stages
(Berna Haktanirlar Ulutaş and Gürsel A. Süer, Department of Industrial Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey, and others)

Chapter 8. Designing Facility Layout and Manufacturing Cells by Hybrid Genetic Algorithms
(Mitsuo Gen, Wenqiang Zhang, and Kenichi Ida, Fuzzy Logic Systems Institute, Iizuka, Japan, and others)

Chapter 9. Layout Optimization Techniques for Robotic Cellular Manufacturing Systems
(Kazuhiro Izui, Takayuki Yamada, Shinji Nishiwaki, and Akio Noda, Department of Mechanical Engineering and Science, Kyoto University, Kyoto, Japan, and others)

Chapter 10. Human-Part-Machine Cell Formation: Considering Human Issues in Cellular Manufacturing
(Gökçe Kılıç Öğer and Feyzan Arikan, Department of Industrial Engineering, Gazi University, Ankara, Turkey)

Chapter 11. Several Remarkable Issues in Japanese Seru Production Systems
(Ikou Kaku, Yong Yin, and Gürsel A. Süer, Department of Environmental Management, Tokyo City University, Yokohama, Japan)

Chapter 12. The Progress of Assembly Cell Design from a Conventional Assembly System to a Walking Worker Assembly Cell
(M. Bulent Durmusoglu, Emre Cevikcan, and Sule Itir Satoglu, Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey)

Chapter 13. Heuristic and Mathematical Modelling Approaches for Optimal Manpower Allocation and Cell Size Determination
(Bulent Erenay, PhD and Gürsel A. Süer, PhD, Sidhu School of Business and Leadership, Wilkes University, Wilkes-Barre, PA)

Chapter 14. A Simulation Optimization Approach for Operator Allocation and Machines Dispatching Rule in a Cellular Manufacturing System with an Operators' Decision-Making Style
(Reza Yazdanparast, Reza Tavakkoli-Moghaddam, Mohammad Rezaie-Malek, and Zahra Zare-Akandeh, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran, and others)

Chapter 15. Advanced Hybrid Genetic Algorithm for Manufacturing Scheduling Problems: Case Studies
(Mitsuo Gen, Lin Lin, Hayato Ohwada, and Hiroshi Kawakami, Fuzzy Logic Systems Institute & Tokyo University of Science, Tokyo, Japan, and others)

Chapter 16. A Hybrid Evolutionary Algorithm for Multiobjective Manufacturing Scheduling Problems
(Wenqiang Zhang, Weidong Yang, and Mitsuo Gen, College of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan, China, and others)

Chapter 17. An Effective Cooperative EDA Based on the Markov Random Field for Solving the Multiple Resources Scheduling Problem
(Lu Sun, Xinchang Hao, Lin Lin, Mitsuo Gen, and Haojie Li, School of Software, Dalian University of Technology, Dalian, China, and others)

Chapter 18. Cell Loading and Scheduling in Synchronized Manufacturing Cells
(Gürsel A Süer, Dyah Ariningtyas Hening, and Fatih Yarimoglu, Department of Industrial and Systems Engineering, Ohio University, Athens, Ohio)

Chapter 19. Lean Planning and Control: Principles and Practice
(Jan Riezebos, Department of Operations, University of Groningen, Groningen, The Netherlands)

Chapter 20. Multi-Objective Fuzzy Cell Scheduling
Manjeet Singh, Gürsel A. Süer, Feyzan Arikan, and Najat Al Masarwah, Industrial and Systems Engineering, Ohio University, Athens, OH, USA, and others)

Chapter 21. Stochastic Layered Cellular Manufacturing Design and Scheduling with Transportation Considerations
(G.A. Süer, H. Mosadeghb, and R. Maihamic, Industrial and Systems Engineering Department, Ohio University, OH, USA, and others)


      Manufacturing Technology Research
   Binding: ebook
   Pub. Date: 2017 - 4th quarter
   ISBN: 978-1-53612-880-2
   Status: AN
Status Code Description
AN Announcing
FM Formatting
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Cellular Manufacturing Systems: Recent Developments, Analysis and Case Studies