Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints
Modern manufacturing industries nowadays encounter with the challenges to provide a product variety in their production at a cheaper cost. This situation requires for a system that flexible with cost competent such as Mixed-Model Assembly Line. This paper developed a mathematical model for Mixed-Mod...
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my.ump.umpir.157152016-12-20T02:16:00Z http://umpir.ump.edu.my/id/eprint/15715/ Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints Muhamad Magffierah, Razali M. F. F., Ab Rashid Muhammad Razif, Abdullah Make TS Manufactures Modern manufacturing industries nowadays encounter with the challenges to provide a product variety in their production at a cheaper cost. This situation requires for a system that flexible with cost competent such as Mixed-Model Assembly Line. This paper developed a mathematical model for Mixed-Model Assembly Line Balancing Problem (MMALBP). In addition to the existing works that consider minimize cycle time, workstation and product rate variation, this paper also consider the resources constraint in the problem modelling. Based on the finding, the modelling results achieved by using computational method were in line with the manual calculation for the evaluated objective functions. Hence, it provided an evidence to verify the developed mathematical model for MMALBP. Implications of the results and future research directions were also presented in this paper. IOP Publishing 2016-12 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/15715/1/2016%20Razali_2016_IOP_Conf._Ser.%20Modelling.pdf Muhamad Magffierah, Razali and M. F. F., Ab Rashid and Muhammad Razif, Abdullah Make (2016) Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints. In: IOP Conference Series: Materials Science and Engineering, International Engineering Research and Innovation Symposium (IRIS), 24-25 November 2016 , Melaka, Malaysia. pp. 1-10., 012002 (1). ISSN 1757-8981 (Print), 1757-899X (Online) http://dx.doi.org/10.1088/1757-899X/160/1/012002 012002 |
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Modern manufacturing industries nowadays encounter with the challenges to provide a product variety in their production at a cheaper cost. This situation requires for a system that flexible with cost competent such as Mixed-Model Assembly Line. This paper developed a mathematical model for Mixed-Model Assembly Line Balancing Problem (MMALBP). In addition to the existing works that consider minimize cycle time, workstation and product rate variation, this paper also consider the resources constraint in the problem modelling. Based on the finding, the modelling results achieved by using computational method were in line with the manual calculation for the evaluated objective functions. Hence, it provided an evidence to verify the developed mathematical model for MMALBP. Implications of the results and future research directions were also presented in this paper. |
format |
Conference or Workshop Item |
author |
Muhamad Magffierah, Razali M. F. F., Ab Rashid Muhammad Razif, Abdullah Make |
author_facet |
Muhamad Magffierah, Razali M. F. F., Ab Rashid Muhammad Razif, Abdullah Make |
author_sort |
Muhamad Magffierah, Razali |
title |
Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints |
title_short |
Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints |
title_full |
Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints |
title_fullStr |
Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints |
title_full_unstemmed |
Mathematical Modelling of Mixed-Model Assembly Line Balancing Problem with Resources Constraints |
title_sort |
mathematical modelling of mixed-model assembly line balancing problem with resources constraints |
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IOP Publishing |
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2016 |
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http://umpir.ump.edu.my/id/eprint/15715/1/2016%20Razali_2016_IOP_Conf._Ser.%20Modelling.pdf http://umpir.ump.edu.my/id/eprint/15715/ http://dx.doi.org/10.1088/1757-899X/160/1/012002 |
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