Cellular Manufacturing Systems: Recent Developments, Analysis and Case Studies

$360.00

Gürsel A. Süer (Editor)
ISE Department, Ohio University, Athens, Ohio, USA and Fuzzy Logic Systems Institute, Japan and Tokyo University of Science, Japan

Mitsuo Gen (Editor)

Series: Manufacturing Technology Research
BISAC: TEC020000

The chapters included in this book represent the work from the US, Canada, Japan, China, India, Iran, Netherlands, Turkey, Slovakia, and Portugal. The book attempts to cover the cellular manufacturing area from various angles. In terms of solution techniques, different approaches such as heuristics, mathematical models, networks models, genetic algorithm approaches, artificial neural networks, knowledge-based algorithms, a space search algorithm, simulated annealing, fuzzy concepts, analytic hierarchy processes and simulation are included in the book. As for performance measures, most chapters target a single objective whereas some others cover multiple objectives. In terms of the complexity of the problems, the authors divide them into simpler single phase problems versus more complex problems that require multiple-phase solutions. Most of the chapters discuss deterministic problems. On the other hand, a few of the chapters focus on stochastic cases. 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 the 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 cells, cell formation with product of life cycle considerations, demand-variability based cell formation, layered cellular design, assembly cells and a recent Japanese proposition called SERU cells. All types of cells, namely labor-intensive cells, machine-intensive cells and robotic cells are covered in the book.

In terms 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 more are discussed.

Cases studies include 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.

Add to Wishlist
ISBN: N/A Categories: , , Tags: , ,

Table of Contents

Table of Contents

Preface

Part I. Cellular Design Related Issues and Case Studies

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 (pp. 3-34)
Georges Abdul-Nour, Sebastien Gamache and Karim Nouri

Chapter 2. Mathematical Model Applications to Cell Formation (pp. 35-56)
G. Srinivasan

Chapter 3. Production System Configuration Selection in a Lean Environment Using Analytic Hierarchy Process (pp. 57-76)
A. C. Alves, M. F. Abreu, A. P. Tereso and P. V. Ferreira

Chapter 4. An Approach to the Evaluation of Cell Design Alternatives Based on a Complexity Indicator (pp. 77-94)
Vladimir Modrak and Zuzana Soltysova

Chapter 5. Integrative Methodology for Formation and Evaluation of Manufacturing Cells with Alternative Routings (pp. 95-138)
Dušan Šormaz, Srinivas Rajaraman and Chintankumar Patel

Chapter 6. The Design of a Focused Cellular Manufacturing System with a Remainder Cell: A Case Study (pp. 139-156)
Saddikuti Venkataramanaiah

Chapter 7. A Three-Phase Approach to Cellular Design Considering Product Life Cycle Stages (pp. 157-176)
Berna Haktanirlar Ulutaþ and Gürsel A. Süer

Chapter 8. Designing Facility Layout and Manufacturing Cells by Hybrid Genetic Algorithms (pp. 177-242)
Mitsuo Gen, Wenqiang Zhang and Kenichi Ida

Chapter 9. Layout Optimization Techniques for Robotic Cellular Manufacturing Systems (pp. 243-266)
Kazuhiro Izui, Takayuki Yamada, Shinji Nishiwaki, Akio Noda and Tatsuya Nagatani

Chapter 10. Human-Part-Machine Cell Formation: Considering Human Issues in Cellular Manufacturing (pp. 267-302)
Gökçe Kýlýç Öðer and Feyzan Arikan

Chapter 11. Several Remarkable Issues in Japanese Seru Production Systems (pp. 303-326)
Ikou Kaku, Yong Yin and Gürsel A. Süer

Chapter 12. The Progress of Assembly Cell Design from a Conventional Assembly System to a Walking Worker Assembly Cell (pp. 327-344)
M. Bulent Durmusoglu, Emre Cevikcan and Sule Itir Satoglu

Chapter 13. Heuristic and Mathematical Modelling Approaches for Optimal Manpower Allocation and Cell Size Determination (pp. 347-380)
Bulent Erenay and Gürsel A. Süer

Chapter 14. A Simulation Optimization Approach for Operator Allocation and Machines Dispatching Rule in a Cellular Manufacturing System with an Operators’ Decision-Making Style (pp. 381-410)
Reza Yazdanparast, Reza Tavakkoli-Moghaddam, Mohammad Rezaie-Malek, and Zahra Zare-Akandeh

Chapter 15. Advanced Hybrid Genetic Algorithm for Manufacturing Scheduling Problems: Case Studies (pp. 411-456)
Mitsuo Gen, Lin Lin, Hayato Ohwada and Hiroshi Kawakami

Chapter 16. A Hybrid Evolutionary Algorithm for Multiobjective Manufacturing Scheduling Problems (pp. 457-474)
Wenqiang Zhang, Weidong Yang and Mitsuo Gen

Chapter 17. An Effective Cooperative EDA Based on the Markov Random Field for Solving the Multiple Resources Scheduling Problem (pp. 475-494)
Lu Sun, Xinchang Hao, Lin Lin, Mitsuo Gen and Haojie Li

Chapter 18. Cell Loading and Scheduling in Synchronized Manufacturing Cells (pp. 495-516)
Gürsel A Süer, Dyah Ariningtyas Hening and Fatih Yarimoglu

Chapter 19. Lean Planning and Control: Principles and Practice (pp. 517-532)
Jan Riezebos

Chapter 20. Multi-Objective Fuzzy Cell Scheduling (pp. 533-560)
Manjeet Singh, Gürsel A. Süer, Feyzan Arikan and Najat Al Masarwah

Chapter 21. Stochastic Layered Cellular Manufacturing Design and Scheduling with Transportation Considerations (pp. 561-592)
G.A. Süer, H. Mosadeghb and R. Maihami

Index (pp. 593)

Publish with Nova Science Publishers

We publish over 800 titles annually by leading researchers from around the world. Submit a Book Proposal Now!