Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation

Due to environmental concerns, firms are under increasing pressure to comply with legislations and to take up environmental strategies. This leads researchers and firms to develop new sustainable supply chains, where a new area has emerged for a manufacturing and reconditioning system. The originali...

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Main Authors: Sadok Turki, Soulayma Sahraoui, Christophe Sauvey, Nathalie Sauer
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/10/3534
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author Sadok Turki
Soulayma Sahraoui
Christophe Sauvey
Nathalie Sauer
author_facet Sadok Turki
Soulayma Sahraoui
Christophe Sauvey
Nathalie Sauer
author_sort Sadok Turki
collection DOAJ
description Due to environmental concerns, firms are under increasing pressure to comply with legislations and to take up environmental strategies. This leads researchers and firms to develop new sustainable supply chains, where a new area has emerged for a manufacturing and reconditioning system. The originality of this work consists in simultaneously considering carbon emissions strategies, carbon tax and mandatory emission in a manufacturing-reconditioning system. The proposed system is composed of two parallel machines, a manufacturing stock, a reconditioning stock and a recovery inventory. In order to make the proposed green manufacturing system more realistic, it is assumed that manufactured (new products) and reconditioned products are distinguishable. The quantity of worn products (used products) depends on the sales in the previous periods, and the repair periods of the machines are stochastic and independent. The aim of this work is to determine the optimal capacities of manufacturing and reconditioning stocks that maximize the total profit, as well as the optimal value of worn products under two carbon emissions’ limitations. An evolutionary algorithm is developed, along with an efficient improvement method, to find the optimal value of decision variables. Ultimately, numerical results are provided to show the impact of the period of carbon limit and the worn products (returned products) on decision variables.
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spelling doaj.art-841b50b5d1e247119f2393d81ffcf6ba2023-11-20T01:05:04ZengMDPI AGApplied Sciences2076-34172020-05-011010353410.3390/app10103534Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon RegulationSadok Turki0Soulayma Sahraoui1Christophe Sauvey2Nathalie Sauer3Laboratory of Informatics Engineering and Production of Metz (LGIPM), University of Lorraine, LGIPM, UFR MIM, 3 Rue Augustin Fresnel, F-57070 Metz, FranceLaboratory of Informatics Engineering and Production of Metz (LGIPM), University of Lorraine, LGIPM, UFR MIM, 3 Rue Augustin Fresnel, F-57070 Metz, FranceLaboratory of Informatics Engineering and Production of Metz (LGIPM), University of Lorraine, LGIPM, UFR MIM, 3 Rue Augustin Fresnel, F-57070 Metz, FranceLaboratory of Informatics Engineering and Production of Metz (LGIPM), University of Lorraine, LGIPM, UFR MIM, 3 Rue Augustin Fresnel, F-57070 Metz, FranceDue to environmental concerns, firms are under increasing pressure to comply with legislations and to take up environmental strategies. This leads researchers and firms to develop new sustainable supply chains, where a new area has emerged for a manufacturing and reconditioning system. The originality of this work consists in simultaneously considering carbon emissions strategies, carbon tax and mandatory emission in a manufacturing-reconditioning system. The proposed system is composed of two parallel machines, a manufacturing stock, a reconditioning stock and a recovery inventory. In order to make the proposed green manufacturing system more realistic, it is assumed that manufactured (new products) and reconditioned products are distinguishable. The quantity of worn products (used products) depends on the sales in the previous periods, and the repair periods of the machines are stochastic and independent. The aim of this work is to determine the optimal capacities of manufacturing and reconditioning stocks that maximize the total profit, as well as the optimal value of worn products under two carbon emissions’ limitations. An evolutionary algorithm is developed, along with an efficient improvement method, to find the optimal value of decision variables. Ultimately, numerical results are provided to show the impact of the period of carbon limit and the worn products (returned products) on decision variables.https://www.mdpi.com/2076-3417/10/10/3534production planningcarbon regulationreconditioninggreen logisticsoptimization
spellingShingle Sadok Turki
Soulayma Sahraoui
Christophe Sauvey
Nathalie Sauer
Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
Applied Sciences
production planning
carbon regulation
reconditioning
green logistics
optimization
title Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
title_full Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
title_fullStr Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
title_full_unstemmed Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
title_short Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System under Periodic Mandatory Carbon Regulation
title_sort optimal manufacturing reconditioning decisions in a reverse logistic system under periodic mandatory carbon regulation
topic production planning
carbon regulation
reconditioning
green logistics
optimization
url https://www.mdpi.com/2076-3417/10/10/3534
work_keys_str_mv AT sadokturki optimalmanufacturingreconditioningdecisionsinareverselogisticsystemunderperiodicmandatorycarbonregulation
AT soulaymasahraoui optimalmanufacturingreconditioningdecisionsinareverselogisticsystemunderperiodicmandatorycarbonregulation
AT christophesauvey optimalmanufacturingreconditioningdecisionsinareverselogisticsystemunderperiodicmandatorycarbonregulation
AT nathaliesauer optimalmanufacturingreconditioningdecisionsinareverselogisticsystemunderperiodicmandatorycarbonregulation