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Optimization and Mathematical Programming to Design and Planning Issues in Cellular Manufacturing Systems under Uncertain Situations
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Author(s): Vahidreza Ghezavati (Islamic Azad University, Iran), Mohammad Saidi-Mehrabad (University of Science and Technology, Iran), Mohammad Saeed Jabal-Ameli (University of Science and Technology, Iran), Ahmad Makui (University of Science and Technology, Iran)and Seyed Jafar Sadjadi (University of Science and Technology, Iran)
Copyright: 2013
Pages: 20
Source title:
Industrial Engineering: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-1945-6.ch031
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Abstract
In practice, demands, costs, processing times, set-up times, routings, and other inputs to classical cellular manufacturing systems (CMS) problems may be highly uncertain, which can have a major impact on characteristics of manufacturing system. So, development models for cell formation (CF) problem under uncertainty can be a suitable area for researchers and belongs to a relatively new class of CMS problems that not researched well in the literature. In this way, random parameters can be either continuous or described by discrete scenarios. If probability information is known, uncertainty is described using a (discrete or continuous) probability distribution on the parameters, otherwise, continuous parameters are normally limited to lie in some pre-determined intervals. This chapter introduces basic concepts about uncertainty themes associated with cellular manufacturing systems and briefly reviews literature survey for this type of problem. The chapter also discusses the characteristics of different mathematical models in the context of cellular manufacturing.
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