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Multi-period planning of closed-loop supply chain with carbon policies under uncertainty

Climate change and greenhouse gases emissions have caused countries to implement various carbon regulatory mechanisms in some industrial sectors around the globe to curb carbon emissions. One effective method to reduce industry environmental footprint is the use of a closed-loop supply chain (CLSC)....

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Main Authors:	Mohammed, F., Selim, S. Z., Hassan, A., Syed, M. N.
Format:	Article
Published:	Elsevier Ltd 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/75610/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009874268&doi=10.1016%2fj.trd.2016.10.033&partnerID=40&md5=8653728aca99a37aacbc3be8680cdd5c
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spelling	my.utm.756102018-04-27T01:36:59Z http://eprints.utm.my/id/eprint/75610/ Multi-period planning of closed-loop supply chain with carbon policies under uncertainty Mohammed, F. Selim, S. Z. Hassan, A. Syed, M. N. TJ Mechanical engineering and machinery Climate change and greenhouse gases emissions have caused countries to implement various carbon regulatory mechanisms in some industrial sectors around the globe to curb carbon emissions. One effective method to reduce industry environmental footprint is the use of a closed-loop supply chain (CLSC). The decision concerning the design and planning of an optimal network of the CLSC plays a vital role in determining the total carbon footprint across the supply chain and also the total cost. In this context, this research proposes an optimization model for design and planning a multi-period, multi-product CLSC with carbon footprint consideration under two different uncertainties. The demand and returns uncertainties are considered by means of multiple scenarios and uncertainty of carbon emissions due to supply chain related activities are considered by means of bounded box set and solve using robust optimization approach. The model extends further to investigate the impact of different carbon policies such as including strict carbon cap, carbon tax, carbon cap-and-trade, and carbon offset on the supply chain strategic and operational decisions. The model captures trade-offs that exist among supply chain total cost and carbon emissions. Also, the proposed model optimizes both supply chain total cost and carbon emissions across the supply chain activities. The numerical results reveal some insightful observations with respect to CLSC strategic design decisions and carbon emissions under various carbon policies and at the end we highlighted some managerial insights. Elsevier Ltd 2017 Article PeerReviewed Mohammed, F. and Selim, S. Z. and Hassan, A. and Syed, M. N. (2017) Multi-period planning of closed-loop supply chain with carbon policies under uncertainty. Transportation Research Part D: Transport and Environment, 51 . pp. 146-172. ISSN 1361-9209 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009874268&doi=10.1016%2fj.trd.2016.10.033&partnerID=40&md5=8653728aca99a37aacbc3be8680cdd5c
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Mohammed, F. Selim, S. Z. Hassan, A. Syed, M. N. Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
description	Climate change and greenhouse gases emissions have caused countries to implement various carbon regulatory mechanisms in some industrial sectors around the globe to curb carbon emissions. One effective method to reduce industry environmental footprint is the use of a closed-loop supply chain (CLSC). The decision concerning the design and planning of an optimal network of the CLSC plays a vital role in determining the total carbon footprint across the supply chain and also the total cost. In this context, this research proposes an optimization model for design and planning a multi-period, multi-product CLSC with carbon footprint consideration under two different uncertainties. The demand and returns uncertainties are considered by means of multiple scenarios and uncertainty of carbon emissions due to supply chain related activities are considered by means of bounded box set and solve using robust optimization approach. The model extends further to investigate the impact of different carbon policies such as including strict carbon cap, carbon tax, carbon cap-and-trade, and carbon offset on the supply chain strategic and operational decisions. The model captures trade-offs that exist among supply chain total cost and carbon emissions. Also, the proposed model optimizes both supply chain total cost and carbon emissions across the supply chain activities. The numerical results reveal some insightful observations with respect to CLSC strategic design decisions and carbon emissions under various carbon policies and at the end we highlighted some managerial insights.
format	Article
author	Mohammed, F. Selim, S. Z. Hassan, A. Syed, M. N.
author_facet	Mohammed, F. Selim, S. Z. Hassan, A. Syed, M. N.
author_sort	Mohammed, F.
title	Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
title_short	Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
title_full	Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
title_fullStr	Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
title_full_unstemmed	Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
title_sort	multi-period planning of closed-loop supply chain with carbon policies under uncertainty
publisher	Elsevier Ltd
publishDate	2017
url	http://eprints.utm.my/id/eprint/75610/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009874268&doi=10.1016%2fj.trd.2016.10.033&partnerID=40&md5=8653728aca99a37aacbc3be8680cdd5c
_version_	1643657110548905984
score	13.211869

Multi-period planning of closed-loop supply chain with carbon policies under uncertainty

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