| 书目名称 | Cell Formation in Industrial Engineering | | 副标题 | Theory, Algorithms a | | 编辑 | Boris Goldengorin,Dmitry Krushinsky,Panos M. Parda | | 视频video | http://file.papertrans.cn/223/222818/222818.mp4 | | 概述 | First book to address the cell formation theory and its applications from the perspective of a development of optimal, flexible, and efficient models and algorithms for cell formation in group technol | | 丛书名称 | Springer Optimization and Its Applications | | 图书封面 |  | | 描述 | .This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. .In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. .The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretic | | 出版日期 | Book 2013 | | 关键词 | algorithms cell formation; cell formation theory; manufacturing systems; models group technology | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-8002-0 | | isbn_softcover | 978-1-4899-8540-8 | | isbn_ebook | 978-1-4614-8002-0Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer Science+Business Media New York 2013 |
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