Optimal Manufacturing-Reconditioning Decisions in a Reverse Logistic System Under Periodic Mandatory Carbon Regulation
| Autor: | Nathalie Sauer, Sadok Turki, Soulayma Sahraoui, Christophe Sauvey |
|---|---|
| Přispěvatelé: | Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM), Université de Lorraine (UL) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Carbon tax Profit (accounting) Supply chain production planning 0211 other engineering and technologies 02 engineering and technology 7. Clean energy lcsh:Technology carbon regulation lcsh:Chemistry [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Order (exchange) General Materials Science green logistics Instrumentation lcsh:QH301-705.5 ComputingMilieux_MISCELLANEOUS Fluid Flow and Transfer Processes 021103 operations research [SDE.IE]Environmental Sciences/Environmental Engineering lcsh:T Process Chemistry and Technology General Engineering Green logistics [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Environmental economics [SDE.ES]Environmental Sciences/Environmental and Society lcsh:QC1-999 Computer Science Applications Production planning Work (electrical) lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Greenhouse gas Business [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] reconditioning lcsh:Engineering (General). Civil engineering (General) optimization lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 10, Iss 3534, p 3534 (2020) Applied Sciences Applied Sciences, MDPI, 2020, 10 (10), pp.3534. ⟨10.3390/app10103534⟩ Volume 10 Issue 10 |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app10103534⟩ |
| Popis: | 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&rsquo 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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