Decision Making in the Manufacturing Environment

to Decision Making.- to Decision Making in the Manufacturing Environment.- Graph Theory and Matrix Approach as a Decision- making Method.- to Multiple Attribute Decision-making (MADM) Methods.- A Logical Approach to Fuzzy MADM Problems.- Applications of GTMA and Fuzzy MADM Methods in the Manufacturing Environment.- Material Selection for a Given Engineering Application.- Evaluation of Product Designs.- Machinability Evaluation of Work Materials.- Cutting Fluid Selection for a Given Machining Application.- Evaluation and Selection of Modern Machining Methods.- Evaluation of Flexible Manufacturing Systems.- Machine Selection in a Flexible Manufacturing Cell.- Failure Cause Analysis of Machine Tools.- Robot Selection for a Given Industrial Application.- Selection of an Automated Inspection System.- Selection of Material Handling Equipment.- Selection of Rapid Prototyping Process in Rapid Product Development.- Selection of Software in Manufacturing Industries.- Welding Process Selection for a Given Application.- Geometric Moldability Analysis of Parts.- Evaluation of Metal Stamping Layouts.- Selection of Forging Conditions for Forging a Given Component.- Evaluation of Environmentally Conscious Manufacturing Programs.- Environmental Impact Assessment of Manufacturing Processes.- Evaluation of Aggregate Risk in Green Manufacturing.- Selection of Best Product End-of-Life Scenario.- Integrated Project Evaluation and Selection.- Facility Location Selection.- Operational Performance Evaluation of Competing Companies.- Vendor Selection in a Supply Chain Environment.- Group Decision Making in the Manufacturing Environment.

Dr R. Venkata Rao is a Professor and the Head of the Department of Mechanical Engineering at the Sardar Vallabhbhai National Institute of Technology, India. Dr Rao's research interests include advanced manufacturing technology, CAD/CAM, CIMS, fuzzy multiple attribute decision making methods, and non-traditional optimization methods.

From the reviews:Decision makers in the manufacturing sector frequently face the problem of assessing a wide range of alternative options, and selecting one based on a set of conflicting criteria. The book helps readers to understand and solve this important problem using graph theory, matrix-based approach and fuzzy multiple attribute decision making method. The approaches discussed in this book are very effective for decision making in various real-life situations of the manufacturing environment. The major salient feature of the book is its depth in covering many real manufacturing world applications (25 in total) of the proposed methods. The complete basket of applications treated in Part 2 of the book reveals a holistic understanding of the manufacturing environment, which is quite heterogeneous and dynamic in nature. The methods presented in the book can be very useful to the decision makers in the manufacturing sector, as these methods make decision making easier, systematic, and effective. Furthermore, the methods can be used for solving any type of decision making problem in any field involving any number of alternative options and criteria. It is apparent that the author has a full grip on the subject and therefore his treatment of the subject matter is sound and up to mark. This book is useful for both the first time readers in this area as well as those involved in high end research in multi-criteria decision making. The book is easy to read and follow. It has a very clear structure and message, focusing on key strategic topic of decision making in the manufacturing environment. The book is highly appropriate for designers, manufacturing engineers, managers, R&D organizations, academicians, and graduate and post-graduate students. Ravi Shankar, Ph.D.Associate ProfessorSchool of ManagementAsian Institute of Technology[T]he techniques presented in this book will be helpful to the decision makers employed in the manufacturing environment, as through

From the reviews:



Decision makers in the manufacturing sector frequently face the problem of assessing a wide range of alternative options, and selecting one based on a set of conflicting criteria. The book helps readers to understand and solve this important problem using graph theory, matrix-based approach and fuzzy multiple attribute decision making method. The approaches discussed in this book are very effective for decision making in various real-life situations of the manufacturing environment. The major salient feature of the book is its depth in covering many real manufacturing world applications (25 in total) of the proposed methods.



The complete basket of applications treated in Part 2 of the book reveals a holistic understanding of the manufacturing environment, which is quite heterogeneous and dynamic in nature. The methods presented in the book can be very useful to the decision makers in the manufacturing sector, as these methods make decision making easier, systematic, and effective. Furthermore, the methods can be used for solving any type of decision making problem in any field involving any number of alternative options and criteria.



It is apparent that the author has a full grip on the subject and therefore his treatment of the subject matter is sound and up to mark. This book is useful for both the first time readers in this area as well as those involved in high end research in multi-criteria decision making. The book is easy to read and follow. It has a very clear structure and message, focusing on key strategic topic of decision making in the manufacturing environment. The book is highly appropriate for designers, manufacturing engineers, managers, R&D organizations, academicians, and graduate and post-graduate students.



Ravi Shankar, Ph.D.
Associate Professor
School of Management
Asian Institute of Technology