Development of an integrated model for production planning and cell formation in cellular manufacturing systems

A cellular manufacturing system (CMS) is a manufacturing structure organized based on the group technology (GT) concept. CMS manufacturing system has many advantages compared to job shop or flow line manufacturing system. The design of CMS involves many structural and operational issues. One of the...

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Main Author:	Raminfar, Reza
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Manufacturing cells Production planning
Online Access:	http://psasir.upm.edu.my/id/eprint/40863/1/FK%202010%2031R.pdf
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spelling	my-upm-ir.408632015-09-30T08:25:04Z Development of an integrated model for production planning and cell formation in cellular manufacturing systems 2010-03 Raminfar, Reza A cellular manufacturing system (CMS) is a manufacturing structure organized based on the group technology (GT) concept. CMS manufacturing system has many advantages compared to job shop or flow line manufacturing system. The design of CMS involves many structural and operational issues. One of the most important design steps is the formation of part families and machine cells or cell formation problem (CF), another problem is “how to determine the optimal quantities of different part-types” or in the other word production planning problem in CMS. Over the last decades, many researchers have worked on CF problem and suggested many heuristic and mathematical algorithms to obtain the best results. On the other hand, various manufacturing production planning and inventory control problems have been studied by many production management researchers. However, only a few studies explicitly and simultaneously incorporate the CMS context, production planning and cell formation problem. In this thesis, a mathematical programming model is developed using an integrated approach for production planning and CF problems in a CMS. This non-linear mixed integer mathematical model minimizes the inter-cell material handling (with respect to the different travel distances between cells), finished-goods inventory cost and machine set-up cost (considering the machine set up cost for every operation). This non-linear model is then converted to a linear model. Numbers of numerical examples are provided from existing literature to test and illustrate the proposed model. These examples are written with lingo codes in LINGO software. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation method (Rank order clustering, ROC), using group capability index (GCI) measure. ROC method and GCI measure have been frequently used and suggested in previous literature. The results and comparisons between GCI measures of ROC method and proposed CF model in last two examples shows 23%, 50% improvement, which indicates that the proposed CF model has a higher and satisfactory performance. This also should be considered that the proposed model is more applicable while it takes into account the production planning problem too. Manufacturing cells Production planning 2010-03 Thesis http://psasir.upm.edu.my/id/eprint/40863/ http://psasir.upm.edu.my/id/eprint/40863/1/FK%202010%2031R.pdf application/pdf en public masters Universiti Putra Malaysia Manufacturing cells Production planning
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Manufacturing cells Production planning
spellingShingle	Manufacturing cells Production planning Raminfar, Reza Development of an integrated model for production planning and cell formation in cellular manufacturing systems
description	A cellular manufacturing system (CMS) is a manufacturing structure organized based on the group technology (GT) concept. CMS manufacturing system has many advantages compared to job shop or flow line manufacturing system. The design of CMS involves many structural and operational issues. One of the most important design steps is the formation of part families and machine cells or cell formation problem (CF), another problem is “how to determine the optimal quantities of different part-types” or in the other word production planning problem in CMS. Over the last decades, many researchers have worked on CF problem and suggested many heuristic and mathematical algorithms to obtain the best results. On the other hand, various manufacturing production planning and inventory control problems have been studied by many production management researchers. However, only a few studies explicitly and simultaneously incorporate the CMS context, production planning and cell formation problem. In this thesis, a mathematical programming model is developed using an integrated approach for production planning and CF problems in a CMS. This non-linear mixed integer mathematical model minimizes the inter-cell material handling (with respect to the different travel distances between cells), finished-goods inventory cost and machine set-up cost (considering the machine set up cost for every operation). This non-linear model is then converted to a linear model. Numbers of numerical examples are provided from existing literature to test and illustrate the proposed model. These examples are written with lingo codes in LINGO software. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation method (Rank order clustering, ROC), using group capability index (GCI) measure. ROC method and GCI measure have been frequently used and suggested in previous literature. The results and comparisons between GCI measures of ROC method and proposed CF model in last two examples shows 23%, 50% improvement, which indicates that the proposed CF model has a higher and satisfactory performance. This also should be considered that the proposed model is more applicable while it takes into account the production planning problem too.
format	Thesis
qualification_level	Master's degree
author	Raminfar, Reza
author_facet	Raminfar, Reza
author_sort	Raminfar, Reza
title	Development of an integrated model for production planning and cell formation in cellular manufacturing systems
title_short	Development of an integrated model for production planning and cell formation in cellular manufacturing systems
title_full	Development of an integrated model for production planning and cell formation in cellular manufacturing systems
title_fullStr	Development of an integrated model for production planning and cell formation in cellular manufacturing systems
title_full_unstemmed	Development of an integrated model for production planning and cell formation in cellular manufacturing systems
title_sort	development of an integrated model for production planning and cell formation in cellular manufacturing systems
granting_institution	Universiti Putra Malaysia
publishDate	2010
url	http://psasir.upm.edu.my/id/eprint/40863/1/FK%202010%2031R.pdf
_version_	1747811845435031552

Development of an integrated model for production planning and cell formation in cellular manufacturing systems

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