Multi-objective optimization in single-row layout design using a genetic algorithm

This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance tr...

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Main Authors: Lenin, N., Siva Kumar, M., Islam, Mohammad Nazrul
Format: Journal Article
Published: Springer U K 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/2776
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author Lenin, N.
Siva Kumar, M.
Islam, Mohammad Nazrul
author_facet Lenin, N.
Siva Kumar, M.
Islam, Mohammad Nazrul
author_sort Lenin, N.
building Curtin Institutional Repository
collection Online Access
description This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance travelled by products, reduce the number of machines arranged in the final linear sequence, and decrease the total investment cost of the machines used in the final sequence. We assume that product flow runs only in the forward direction, either via in-sequence or bypass movement. We demonstrate the effectiveness of the proposed algorithm by solving a typical layout design problem taken from literature, and several randomly generated problems. Results indicate that the proposed algorithm serves as a practical decision support tool for resolving layout problems in manufacturing facilities.
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institution Curtin University Malaysia
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publishDate 2012
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spelling curtin-20.500.11937-27762017-01-30T10:26:02Z Multi-objective optimization in single-row layout design using a genetic algorithm Lenin, N. Siva Kumar, M. Islam, Mohammad Nazrul Facility layout Genetic algorithm Machine investment Linear sequencing Flow distance This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance travelled by products, reduce the number of machines arranged in the final linear sequence, and decrease the total investment cost of the machines used in the final sequence. We assume that product flow runs only in the forward direction, either via in-sequence or bypass movement. We demonstrate the effectiveness of the proposed algorithm by solving a typical layout design problem taken from literature, and several randomly generated problems. Results indicate that the proposed algorithm serves as a practical decision support tool for resolving layout problems in manufacturing facilities. 2012 Journal Article http://hdl.handle.net/20.500.11937/2776 Springer U K fulltext
spellingShingle Facility layout
Genetic algorithm
Machine investment
Linear sequencing
Flow distance
Lenin, N.
Siva Kumar, M.
Islam, Mohammad Nazrul
Multi-objective optimization in single-row layout design using a genetic algorithm
title Multi-objective optimization in single-row layout design using a genetic algorithm
title_full Multi-objective optimization in single-row layout design using a genetic algorithm
title_fullStr Multi-objective optimization in single-row layout design using a genetic algorithm
title_full_unstemmed Multi-objective optimization in single-row layout design using a genetic algorithm
title_short Multi-objective optimization in single-row layout design using a genetic algorithm
title_sort multi-objective optimization in single-row layout design using a genetic algorithm
topic Facility layout
Genetic algorithm
Machine investment
Linear sequencing
Flow distance
url http://hdl.handle.net/20.500.11937/2776