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Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems

Ömer Faruk Yılmaz, Süleyman Tüfekçí
Copyright: © 2018 |Pages: 449
ISBN13: 9781522529446|ISBN10: 1522529446|EISBN13: 9781522529453
DOI: 10.4018/978-1-5225-2944-6
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MLA

Faruk Yılmaz, Ömer, and Süleyman Tüfekçí, editors. Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2944-6

APA

Faruk Yılmaz, Ö. & Tüfekçí, S. (Eds.). (2018). Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems. IGI Global. https://doi.org/10.4018/978-1-5225-2944-6

Chicago

Faruk Yılmaz, Ömer, and Süleyman Tüfekçí, eds. Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2944-6

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Today’s manufacturing systems are undergoing significant changes in the aspects of planning, production execution, and delivery. It is imperative to stay up-to-date on the latest trends in optimization to efficiently create products for the market.

The Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems is a pivotal reference source including the latest scholarly research on heuristic models for solving manufacturing and supply chain related problems. Featuring exhaustive coverage on a broad range of topics such as assembly ratio, car sequencing, and color constraints, this publication is ideally designed for practitioners seeking new comprehensive models for problem solving in manufacturing and supply chain management.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Logistics, Operations, and Management Science (ALOMS) Book Series
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Acknowledgment
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Chapters
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Chapter 1
This section discusses several heuristic and metaheuristic algorithms to manage and optimize the problems in manufacturing systems and examines two main levels of decision systems in production: the middle term (tactical) and short...
Applications of Heuristic and Metaheuristic Algorithms in Manufacturing Systems
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Chapter 2
This section reveals the principles of Supply Chain and Inventory Management. The first chapter deals with the pricing, the lotsizing and the shipment for a two-echelon supply chain. Metaheuristic algorithms are used in the first...
Supply Chain and Inventory Management
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Chapter 3
This section introduces most used techniques that increase the efficiency of manufacturing systems. These techniques include the mathematical models, the simulation methods, the optimal control theory, the lean manufacturing...
Differential Return on Investment Optimization: Pricing, Lotsizing and Shipment Considerations in a Two-Echelon Supply Chain
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Chapter 4
Smart Factory concepts describe fully networked, autonomous factories and form an essential part of flexible, however still highly efficient manufacturing systems. From a business perspective, the term industry 4.0 stands for a new...
Smart Factories and Industry 4.0
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Back Materials
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Compilation of References
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About the Contributors
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Index
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