MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line
This research explores two interrelated problems in Mixed-Model Two-Sided Assembly Line (MMTSAL), which are line balancing and model sequencing. These two problems are solved simultaneously using Mixed Integer Linear Programming (MILP) with the objectives of minimizing total utility work and idle ti...
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my.utm.806612019-06-27T06:12:46Z http://eprints.utm.my/id/eprint/80661/ MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line Mohd. Azmi, Nur Intan Liyana Zainuddin, Zaitul Marlizawati Ahmad, Rashidah QA Mathematics This research explores two interrelated problems in Mixed-Model Two-Sided Assembly Line (MMTSAL), which are line balancing and model sequencing. These two problems are solved simultaneously using Mixed Integer Linear Programming (MILP) with the objectives of minimizing total utility work and idle time by considering various practical constraints. The problem is analyzed using small-size to large-sized test cases using General Algebraic Modelling System (GAMS) with the solver CPLEX. Experimental results indicate that integrating the problems help to minimize the proposed objective function. Also, it is found that the feasible solution for model sequence with the assignment of tasks to assembly line is optimal. Penerbit UTM Press 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80661/1/RashidahAhmad2017_MILPModelforIntegratedLineBalancing.pdf Mohd. Azmi, Nur Intan Liyana and Zainuddin, Zaitul Marlizawati and Ahmad, Rashidah (2017) MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line. Malaysian Journal of Fundamental and Applied Sciences, S. Isu . pp. 367-371. ISSN 2289-5981 https://dx.doi.org/10.11113/mjfas.v13n4-1.893 DOI:10.11113/mjfas.v13n4-1.893 |
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QA Mathematics Mohd. Azmi, Nur Intan Liyana Zainuddin, Zaitul Marlizawati Ahmad, Rashidah MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
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This research explores two interrelated problems in Mixed-Model Two-Sided Assembly Line (MMTSAL), which are line balancing and model sequencing. These two problems are solved simultaneously using Mixed Integer Linear Programming (MILP) with the objectives of minimizing total utility work and idle time by considering various practical constraints. The problem is analyzed using small-size to large-sized test cases using General Algebraic Modelling System (GAMS) with the solver CPLEX. Experimental results indicate that integrating the problems help to minimize the proposed objective function. Also, it is found that the feasible solution for model sequence with the assignment of tasks to assembly line is optimal. |
format |
Article |
author |
Mohd. Azmi, Nur Intan Liyana Zainuddin, Zaitul Marlizawati Ahmad, Rashidah |
author_facet |
Mohd. Azmi, Nur Intan Liyana Zainuddin, Zaitul Marlizawati Ahmad, Rashidah |
author_sort |
Mohd. Azmi, Nur Intan Liyana |
title |
MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
title_short |
MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
title_full |
MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
title_fullStr |
MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
title_full_unstemmed |
MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line |
title_sort |
milp model for integrated line balancing and model sequencing problems for mixed-model two-sided assembly line |
publisher |
Penerbit UTM Press |
publishDate |
2017 |
url |
http://eprints.utm.my/id/eprint/80661/1/RashidahAhmad2017_MILPModelforIntegratedLineBalancing.pdf http://eprints.utm.my/id/eprint/80661/ https://dx.doi.org/10.11113/mjfas.v13n4-1.893 |
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