Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms

The cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the a...

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Main Authors: Mohammad Mohammadi, Kamran Forghani
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2018-07-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:http://jims.atu.ac.ir/article_8786_01920e19088f31442648a2f711e2ec06.pdf
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spelling doaj-3382c5accf6f4b8f97b38f32d7f0d3b32020-11-24T23:34:34ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292018-07-0116496710410.22054/JIMS.2018.8786 Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic AlgorithmsMohammad Mohammadi Kamran ForghaniThe cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the arrangement of machines within the cells as well as the layout of cells. In this paper, an integrated approach is presented to solve the cell formation, group layout and routing problems. By Considering the dimension of machines, the width of the aisles, and the maximum permissible length of the plant site, a new framework, called spiral layout, is suggested for the layout of cellular manufacturing systems. To extend the applicability of the problem, parameters such as part demands, operation sequences, processing times and machine capacities are considered in the problem formulation. The problem is formulated as a bi-objective integer programming model, in which the first objective is to minimize the total material handling cost and the second one is to maximize the total similarity between machines. As the problem is NP-hard, three metaheuristic algorithms, based on Genetic Algorithm and Simulated Annealing are proposed to solve it. To enhance the performance of the algorithms, a Dynamic Programming algorithm is embedded within them. The performance of the algorithms is evaluated by solving numerical examples from the related literature. Finally, a comparison is carried out between the proposed spiral layout and the linear multi-row layout which has recently presented in the literaturehttp://jims.atu.ac.ir/article_8786_01920e19088f31442648a2f711e2ec06.pdfCellular Manufacturing System; Facility Layout; Dynamic Programming; Genetic Algorithm; Simulated Annealing
collection DOAJ
language fas
format Article
sources DOAJ
author Mohammad Mohammadi
Kamran Forghani
spellingShingle Mohammad Mohammadi
Kamran Forghani
Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Cellular Manufacturing System; Facility Layout; Dynamic Programming; Genetic Algorithm; Simulated Annealing
author_facet Mohammad Mohammadi
Kamran Forghani
author_sort Mohammad Mohammadi
title Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
title_short Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
title_full Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
title_fullStr Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
title_full_unstemmed Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms
title_sort solving an integrated cell formation, group layout and routing problem using dynamic programming based metaheuristic algorithms
publisher Allameh Tabataba'i University Press
series Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
issn 2251-8029
publishDate 2018-07-01
description The cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the arrangement of machines within the cells as well as the layout of cells. In this paper, an integrated approach is presented to solve the cell formation, group layout and routing problems. By Considering the dimension of machines, the width of the aisles, and the maximum permissible length of the plant site, a new framework, called spiral layout, is suggested for the layout of cellular manufacturing systems. To extend the applicability of the problem, parameters such as part demands, operation sequences, processing times and machine capacities are considered in the problem formulation. The problem is formulated as a bi-objective integer programming model, in which the first objective is to minimize the total material handling cost and the second one is to maximize the total similarity between machines. As the problem is NP-hard, three metaheuristic algorithms, based on Genetic Algorithm and Simulated Annealing are proposed to solve it. To enhance the performance of the algorithms, a Dynamic Programming algorithm is embedded within them. The performance of the algorithms is evaluated by solving numerical examples from the related literature. Finally, a comparison is carried out between the proposed spiral layout and the linear multi-row layout which has recently presented in the literature
topic Cellular Manufacturing System; Facility Layout; Dynamic Programming; Genetic Algorithm; Simulated Annealing
url http://jims.atu.ac.ir/article_8786_01920e19088f31442648a2f711e2ec06.pdf
work_keys_str_mv AT mohammadmohammadi solvinganintegratedcellformationgrouplayoutandroutingproblemusingdynamicprogrammingbasedmetaheuristicalgorithms
AT kamranforghani solvinganintegratedcellformationgrouplayoutandroutingproblemusingdynamicprogrammingbasedmetaheuristicalgorithms
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