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 sc