Sustainable closed-loop supply chain model with stochastic demand and return

The closed-loop supply chain (CLSC) represents the supply chain that contains recovery plans for used products to be reused later in the industry. The research gap in the previous CLSC literature regarding the sustainability aspects for the CLSC was the lack of consideration for the social aspect du...

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Main Author:	Omar Elfarouk Elsherif, Omar Mohammed
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/101433/1/OmarMohammedOmarElfaroukPSKM2022.pdf.pdf
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id	my-utm-ep.101433
record_format	uketd_dc
spelling	my-utm-ep.1014332023-06-14T10:20:30Z Sustainable closed-loop supply chain model with stochastic demand and return 2022 Omar Elfarouk Elsherif, Omar Mohammed TJ Mechanical engineering and machinery The closed-loop supply chain (CLSC) represents the supply chain that contains recovery plans for used products to be reused later in the industry. The research gap in the previous CLSC literature regarding the sustainability aspects for the CLSC was the lack of consideration for the social aspect due to its complexity. Also, the effect of demand and product returns uncertainties on the sustainability aspects of CLSC have not been considered in the previous CLSC studies under centralized management and synchronized ordering policy (SOP). Moreover, the analysis of stochastic sustainable CLSC has not been investigated in industries such as home appliances. Finally, the CLSC sustainability has not been analyzed with previous consideration of CLSC tiers coordination. Thus, the objective of this research was to model a stochastic sustainable CLSC that included the environmental, economic, and social aspects while considering uncertainties in demand and returns quantities for home appliance products under SOP and centralized management. For the proper stochastic CLSC design and mathematical modeling of the sustainable stochastic CLSC, the mathematical model was developed as a multiproduct, multi-echelon single period CLSC model under the SOP and centralized management. The stochastic sustainable CLSC model added constraints related to inventory management for the SOP, production capacity, transportation capacity, and carbon emission. The sustainable stochastic CLSC model was described as a mixed-integer non-linear programming model. The sustainability objectives were optimized using the Pareto-based constrained optimization of nonlinear approximation algorithm (Pareto-based COBYLA) by identifying the optimal quantities of parts and products for each CLSC tier and solving the optimization problem using the PYTHON program which was then compared with the nondominated sorting genetic algorithm (NSGA). The optimization results showed the significance of the stochastic demand and product return parameters on the sustainability objectives in the stochastic sustainable home appliance CLSC following SOP. The current research has contributed to the CLSC studies by developing a stochastic sustainable CLSC mathematical model following the SOP assumption for home appliance products considering the economic, environmental, and social objectives and adding the Pareto-based COBYLA solution algorithm that provided a better optimal solution for stochastic sustainable CLSC optimization in comparison with the NSGA. 2022 Thesis http://eprints.utm.my/id/eprint/101433/ http://eprints.utm.my/id/eprint/101433/1/OmarMohammedOmarElfaroukPSKM2022.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:151542 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Omar Elfarouk Elsherif, Omar Mohammed Sustainable closed-loop supply chain model with stochastic demand and return
description	The closed-loop supply chain (CLSC) represents the supply chain that contains recovery plans for used products to be reused later in the industry. The research gap in the previous CLSC literature regarding the sustainability aspects for the CLSC was the lack of consideration for the social aspect due to its complexity. Also, the effect of demand and product returns uncertainties on the sustainability aspects of CLSC have not been considered in the previous CLSC studies under centralized management and synchronized ordering policy (SOP). Moreover, the analysis of stochastic sustainable CLSC has not been investigated in industries such as home appliances. Finally, the CLSC sustainability has not been analyzed with previous consideration of CLSC tiers coordination. Thus, the objective of this research was to model a stochastic sustainable CLSC that included the environmental, economic, and social aspects while considering uncertainties in demand and returns quantities for home appliance products under SOP and centralized management. For the proper stochastic CLSC design and mathematical modeling of the sustainable stochastic CLSC, the mathematical model was developed as a multiproduct, multi-echelon single period CLSC model under the SOP and centralized management. The stochastic sustainable CLSC model added constraints related to inventory management for the SOP, production capacity, transportation capacity, and carbon emission. The sustainable stochastic CLSC model was described as a mixed-integer non-linear programming model. The sustainability objectives were optimized using the Pareto-based constrained optimization of nonlinear approximation algorithm (Pareto-based COBYLA) by identifying the optimal quantities of parts and products for each CLSC tier and solving the optimization problem using the PYTHON program which was then compared with the nondominated sorting genetic algorithm (NSGA). The optimization results showed the significance of the stochastic demand and product return parameters on the sustainability objectives in the stochastic sustainable home appliance CLSC following SOP. The current research has contributed to the CLSC studies by developing a stochastic sustainable CLSC mathematical model following the SOP assumption for home appliance products considering the economic, environmental, and social objectives and adding the Pareto-based COBYLA solution algorithm that provided a better optimal solution for stochastic sustainable CLSC optimization in comparison with the NSGA.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Omar Elfarouk Elsherif, Omar Mohammed
author_facet	Omar Elfarouk Elsherif, Omar Mohammed
author_sort	Omar Elfarouk Elsherif, Omar Mohammed
title	Sustainable closed-loop supply chain model with stochastic demand and return
title_short	Sustainable closed-loop supply chain model with stochastic demand and return
title_full	Sustainable closed-loop supply chain model with stochastic demand and return
title_fullStr	Sustainable closed-loop supply chain model with stochastic demand and return
title_full_unstemmed	Sustainable closed-loop supply chain model with stochastic demand and return
title_sort	sustainable closed-loop supply chain model with stochastic demand and return
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Mechanical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/101433/1/OmarMohammedOmarElfaroukPSKM2022.pdf.pdf
_version_	1776100698817036288

Sustainable closed-loop supply chain model with stochastic demand and return

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