Joint cell formation, cell scheduling, and group layout problem in virtual and classical cellular manufacturing systems

2020 ◽  
Vol 97 ◽  
pp. 106719
Author(s):  
Kamran Forghani ◽  
S.M.T. Fatemi Ghomi
Keyword(s):  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Cell Formation ◽  
Cellular Manufacturing Systems ◽  
Layout Problem ◽  
Cell Scheduling ◽  
Group Layout

An Integrated Model for the Design of Cellular Manufacturing Systems

2012 ◽  
Vol 557-559 ◽  
pp. 2423-2426 ◽  
Author(s):  
Reza Raminfar ◽  
Zulkifli Norzima ◽  
Mohammadreza Vasili ◽  
Sai Hong Tang
Keyword(s):  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Cell Formation ◽  
Production Environment ◽  
Cellular Manufacturing Systems ◽  
Reducing Costs ◽  
Operational Issues ◽  
Planning Group ◽  
Group Layout ◽  
Production Approach

Cellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system's flexibility in today's small-to-medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation; such as cell formation (CF), production planning, group layout (GL), resource allocation and scheduling. Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. In order to attain better results to ensure that the system will be capable of remaining efficient in unknown future situations, these issues should be addressed simultaneously. In this paper possibility of developing a comprehensive mathematical model which considers these issues is discussed.

scholarly journals Modeling the Scheduling Problem in Cellular Manufacturing Systems Using Genetic Algorithm as an Efficient Meta-Heuristic Approach

2021 ◽  
Author(s):  
Amin Rezaeipanah ◽  
Musa Mojarad
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Programming Model ◽  
Heuristic Method ◽  
Cell Formation ◽  
Mixed Integer ◽  
Test Problems ◽  
Cellular Manufacturing Systems ◽  
Machine Grouping

This paper presents a new, bi-criteria mixed-integer programming model for scheduling cells and pieces within each cell in a manufacturing cellular system. The objective of this model is to minimize the makespan and inter-cell movements simultaneously, while considering sequence-dependent cell setup times. In the CMS design and planning, three main steps must be considered, namely cell formation (i.e., piece families and machine grouping), inter and intra-cell layouts, and scheduling issue. Due to the fact that the Cellular Manufacturing Systems (CMS) problem is NP-Hard, a Genetic Algorithm (GA) as an efficient meta-heuristic method is proposed to solve such a hard problem. Finally, a number of test problems are solved to show the efficiency of the proposed GA and the related computational results are compared with the results obtained by the use of an optimization tool.

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