Multi-objective energy efficient mixed model assembly line sequencing for sustainable manufacturing

Muhammad Umair; Mirza Jahanzaib; Saif Ullah

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Multi-objective energy efficient mixed model assembly line sequencing for sustainable manufacturing

Author(s)

Muhammad Umair Department of Industrial Engineering, University of Engineering and Technology, Taxila, Pakistan,

Mirza Jahanzaib Department of Industrial Engineering, University of Engineering and Technology, Taxila, Pakistan

Saif Ullah Department of Industrial Engineering, University of Engineering and Technology, Taxila, Pakistan,

Abstract

The sustainability of manufacturing systems is not thoroughly investigated in the existing literature despite that fact that it affects service-oriented organisations. This paper addresses this gap by incorporating the criterion of energy consumption in mixed model assembly line sequencing (MMALS) to explore the potential for energy saving. Energy consumption was integrated with makespan and sequence dependent setup time of mixed models to achieve the sustainability in sequencing. A mathematical model was developed for the optimisation of energy efficient MMAL (EEMMAL). The multi-objective intelligent genetic algorithm (MOIGA) was proposed for minimisation of three conflicting objectives. A case study was conducted using centrifugal pump assembly line to test the performance of proposed MOIGA and the results were compared with those obtained from multiobjective genetic algorithm (MOGA). Finally, a trade-off analysis was conducted between total setup time, makespan (a service level measure on shop floor) and energy consumption (a factor of environmental sustainability). This analysis indicated the effectiveness of MOIGA (compared to MOGA) for EEMMALS problems.

Publication Details

Page(s) 47-60

DOI DOI not available

Published Journal: NED University Journal of Research, Volume: 17, Issue: 2, Year: 2020

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Keywords

Sustainable Manufacturing, Mixed model assembly line sequencing (MMALS)

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