Supply Chain Optimization Design And Management Advances And Intelligent Methods


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Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods


Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Author: Minis, Ioannis

language: en

Publisher: IGI Global

Release Date: 2010-12-31


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Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.

Handbook of Research on Design and Management of Lean Production Systems


Handbook of Research on Design and Management of Lean Production Systems

Author: Modrák, Vladimír

language: en

Publisher: IGI Global

Release Date: 2014-01-31


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"This book explores the recent advancements in the areas of lean production, management, and the system and layout design for manufacturing environments, capturing the building blocks of lean transformation on a shop floor level"--

Scheduling in Green Supply Chain Management


Scheduling in Green Supply Chain Management

Author: Wolfgang Albrecht

language: en

Publisher: Springer Nature

Release Date: 2021-04-01


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This book presents scheduling with a medium- and short-term focus, which makes it possible to capitalize on fleeting market opportunities while simultaneously working to reconcile economic and environmental priorities. It introduces a new mixed-integer approach to hierarchical discrete-time and continuous-time scheduling, combining aspects of production and recycling, forward and reverse logistics as well as emissions trading for multi-stage supply chain networks. Problem-specific variants of relax-and-fix heuristics and genetic algorithms are also proposed. Given its scope, the book provides a range of practical tools and new perspectives for researchers and professionals in the field of supply chain management.