An integrated production-distribution planning in green supply chain: A multi-objective evolutionary approach

Ashkan Memari; Abdul Rahman Abdul Rahim; Robiah Binti Ahmad

doi:10.1016/j.procir.2015.03.006

An integrated production-distribution planning in green supply chain: A multi-objective evolutionary approach

Ashkan Memari, Abdul Rahman Abdul Rahim^*, Robiah Binti Ahmad

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

36 Citations (Scopus)

45 Downloads (Pure)

Abstract

The goal of this research is to develop a novel multi-objective mathematical model in a green supply chain network consisting of manufacturers, distribution centers and dealers in an automotive manufacture case study. The main objectives considered are: minimizing the costs of production, distribution, holding and shortage cost at dealers as well as minimizing environmental impact of logistic network. In addition to minimizing the costs and environmental impacts particularly the emission of CO₂, the model can determine the green economic production quantity using Just-In-Time logistics. Furthermore, multi-objective genetic algorithm is applied in order to minimize these two conflicting objectives simultaneously. Finally, the performance of the proposed model is evaluated by comparing the obtained Pareto fronts from Moga and goal attainment programing solver in Matlab.

Original language	English
Pages (from-to)	700-705
Number of pages	6
Journal	Procedia CIRP
Volume	26
DOIs	https://doi.org/10.1016/j.procir.2015.03.006
Publication status	Published - 2015
Externally published	Yes
Event	12th Global Conference on Sustainable Manufacturing, GCSM 2014 - Johor Bahru, Malaysia Duration: 22 Sept 2014 → 24 Sept 2014

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An Integrated Production-distribution Planning in Green Supply Chain: A Multi-objective Evolutionary ApproachFinal published version, 445 KBLicence: CC BY-NC-ND

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title = "An integrated production-distribution planning in green supply chain: A multi-objective evolutionary approach",

abstract = "The goal of this research is to develop a novel multi-objective mathematical model in a green supply chain network consisting of manufacturers, distribution centers and dealers in an automotive manufacture case study. The main objectives considered are: minimizing the costs of production, distribution, holding and shortage cost at dealers as well as minimizing environmental impact of logistic network. In addition to minimizing the costs and environmental impacts particularly the emission of CO2, the model can determine the green economic production quantity using Just-In-Time logistics. Furthermore, multi-objective genetic algorithm is applied in order to minimize these two conflicting objectives simultaneously. Finally, the performance of the proposed model is evaluated by comparing the obtained Pareto fronts from Moga and goal attainment programing solver in Matlab.",

author = "Ashkan Memari and Rahim, {Abdul Rahman Abdul} and Ahmad, {Robiah Binti}",

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doi = "10.1016/j.procir.2015.03.006",

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AB - The goal of this research is to develop a novel multi-objective mathematical model in a green supply chain network consisting of manufacturers, distribution centers and dealers in an automotive manufacture case study. The main objectives considered are: minimizing the costs of production, distribution, holding and shortage cost at dealers as well as minimizing environmental impact of logistic network. In addition to minimizing the costs and environmental impacts particularly the emission of CO2, the model can determine the green economic production quantity using Just-In-Time logistics. Furthermore, multi-objective genetic algorithm is applied in order to minimize these two conflicting objectives simultaneously. Finally, the performance of the proposed model is evaluated by comparing the obtained Pareto fronts from Moga and goal attainment programing solver in Matlab.

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An integrated production-distribution planning in green supply chain: A multi-objective evolutionary approach

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