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Cellular Production

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Submitted By bward11
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Cellular Layout
Betty Ward
Liberty University
Operation Management
Busi 411-D03
Professor Wagner
April 6, 2015

Cellular Layout
Definition
Cellular production or cellular manufacturing is a lean method process, which eliminates set-up and unneeded cost. This is accomplished by using cells, group of team members, workstations, or equipment to produce similar products or services. The concept of cellular design is the use of group technology, placing people, tools and machines so that there is little change in processing or setup ("Cellular manufacturing," n.d.).
Summary
Cellular production or manufacturing is a layout design that enables companies to minimize waste, while providing a smooth workflow, with minimal transport or delay. Additional benefits of cellular production include reduced work in progress; reduce space requirements, and improvement in quality and productivity (Stevenson, 2015, p. 256). The article, “Integrating Cell Formation with Cellular Layout and Operation Scheduling” is an investigation into designing a cellular system. The research is on two mathematical proposed models. In the first model is an integration of cellular layout (CL) problem with cell formation (CF) problem to determine the optimal configuration of machine and cell layout to minimize movement cost. The second model included in the integration of the cellular layout (CL) and cell formation (CF) problems, with the cellular scheduling (CS) to minimize the completion time, in addition to minimizing movement cost (Arkat, Farahani, & Hosseini, 2011).
The first model uses the sequential approach, with two phases. First, the solution for the CF problem and the CL problem are solved, simultaneously. Then, as a job shop-scheduling problem, CS problem solution is found. The second model solved the CF, CL, and CS problems concurrently. The conclusion of these results, indicate that cellular scheduling should be considered in cellular manufacturing system design. The consideration of CS, affects both cell formation and cellular layout, and improves the quality of the solution (Arkat et al., 2011, p. 646).
Discussion
The article, “Integrating Cell Formation with Cellular Layout and Operation Scheduling” relates to cellular production, by directly researching the topic. In the research, two approaches are considered for cellular system design. The main research is to determine the best approach for cellular system design, in considering cellular scheduling problem, either sequentially or concurrently. The mathematical equations and algorithms help in obtaining the correct cellular design. The results also proved that consideration for cellular scheduling is important to cellular system design and layout.

References
Arkat, J., Farahani, M. H., & Hosseini, L. (2011, November 19). Integrating cell formation with cellular layout and operation scheduling . International Journal of Advanced Manufacturing Technology , 61, 637-647. http://dx.doi.org/10.1007/s00170-011-3733-4
This article is research in cellular system design and layout and the impact that cellular scheduling would have on the layout and design. Two methods are used. The first method solved the problems for cellular layout and cellular formation, then using those solutions, considered cellular scheduling as a problem in transportation time. The second method solved the problems of cellular layout, cellular formation, and cellular scheduling simultaneously. The conclusion is cellular scheduling needs to be incorporated into cellular systems design and layouts.
Arkat, J., Hosseinabadi, M., Ahmadizar, F., & Ahmadizar, F. (2011, December 30). Multi-objective genetic algorithm for cell formation problem considering cellular layout and operation scheduling. International Journal of Computer Integrated Manufacturing, 25, 625-635. http://dx.doi.org/10.1080/0951192X.2012.665182
This article discusses the three major decisions that are an integrated part of cellular manufacturing systems. These decisions are cell formation (CF), cellular layout (CL), and planning issues of cellular scheduling (CS). The presentation is a mathematical model that concurrently identifies, cells, cellular layout, and operation sequence, that minimizes transportation cost of parts. The multi-objective generic algorithm enables efficient finding of the Pareto optimal solution.
Cellular manufacturing . (n.d.). Retrieved from http://www.businessdictionary.com/definition/cellular-manufacturing.html
Khaksar-Haghani, F., Kia, R., Mahdavi, I., & Kazemi, M. (2012, September 2). A genetic algorithm for solving a multi-floor layout design model of a cellular manufacturing system with alternative process routing and flexible configuration. International Journal of Advanced Manufacturing Technology, 66, 845–865. http://dx.doi.org/10.1007/s00170-012-4370-2
This article introduces a linear programing model for designing multi-floor layout for cellular production systems. The model incorporated several special features including, alternative process routings, operation sequence, processing time, production volume of parts, duplicate machines, machine capacity, machine purchasing, lot splitting, material flow between machines, intracell layout, inter-cell layout, multi-floor layout, and flexible configuration. The programs algorithms were able to produce near-optimal solution for system design and layout.
Stevenson, W. J. (2015). Operation Management (12th ed.). New York, NY: McGraw-Hill Education .

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