An analytical model to investigate the economic and environmental benefits of a supply chain resource-sharing scheme based on collaborative consolidation centres

Abstract This study evaluates the cost and carbon dioxide-equivalent emissions of different supply chain configurations to determine when suppliers should move to a greener resource-sharing scheme. We build an analytical model based on a case study of a retailer that has developed a resource-sharing initiative introducing collaborative consolidation centres (CCC) between its suppliers and its warehouses (WH). We compare the costs and carbon dioxide-equivalent emissions of using a pair of CCCs with direct delivery to twenty WHs. Our parameters include the distances between suppliers, CCCs, and WHs, in addition to the volumes delivered. This model determines when there should be a switch to the CCC system. We also compare the actual CCC locations with better alternatives, the centres of gravity of the regions. On a real cost basis, economic gains, but not environmental ones, occur, highlighting a need for alternative models for optimal locations, which would include economic and environmental constraints.

[1]  Madeleine Hummler,et al.  Chapitre 4 , 2018, Pas de Problème.

[2]  C. Mena,et al.  Reducing transportation greenhouse gas emissions with collaborative distribution: A case study , 2015 .

[3]  M. Ali,et al.  Sustainable production of bioethanol using augmented bacterial cellulases. , 2014 .

[4]  Tava Olsen,et al.  Truck-sharing challenges for hinterland trucking companies: A case of the empty container truck trips problem , 2014, Bus. Process. Manag. J..

[5]  Turan Paksoy,et al.  Environmentally conscious optimization of supply chain networks , 2014, J. Oper. Res. Soc..

[6]  Christine L. Mumford,et al.  A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling , 2014 .

[7]  Angappa Gunasekaran,et al.  Sustainable Operations Management: design, modelling and analysis , 2014, J. Oper. Res. Soc..

[8]  Marcus Brandenburg,et al.  Quantitative models for sustainable supply chain management: Developments and directions , 2014, Eur. J. Oper. Res..

[9]  Sinem Büyüksaatçı,et al.  Carbon emission based optimisation approach for the facility location problem , 2014 .

[10]  Kenneth W. Green,et al.  Impact of information sharing and green information systems , 2013 .

[11]  Ian Hipkin,et al.  A methodology for estimating expected distances between nodes on a network , 2013, J. Oper. Res. Soc..

[12]  Stefan Seuring,et al.  A review of modeling approaches for sustainable supply chain management , 2013, Decis. Support Syst..

[13]  Samir Elhedhli,et al.  Green supply chain network design to reduce carbon emissions , 2012 .

[14]  R. Dekker,et al.  The impact of greening on supply chain design and cost: a case for a developing region , 2012 .

[15]  Ioannis Mallidis,et al.  Operations Research for green logistics - An overview of aspects, issues, contributions and challenges , 2011, Eur. J. Oper. Res..

[16]  Christine L. Mumford,et al.  Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions , 2011 .

[17]  Xiaofan Lai,et al.  A multi-objective optimization for green supply chain network design , 2011, Decis. Support Syst..

[18]  K. Lai,et al.  An Organizational Theoretic Review of Green Supply Chain Management Literature , 2011 .

[19]  Arun Rai,et al.  Why Do They Share Information with Supply Chain Partners? A Comparison of Supplier and Buyer Perspectives , 2011, ICIS.

[20]  Ryan Merrick,et al.  Environmental Assessment of Shipment Release Policies , 2010 .

[21]  Alan Campbell McKinnon,et al.  Green Logistics: Improving the Environmental Sustainability of Logistics , 2010 .

[22]  Arun Rai,et al.  Interfirm Strategic Information Flows in Logistics Supply Chain Relationships , 2009, MIS Q..

[23]  Dmytro Matsypura,et al.  Supply chain networks with corporate social responsibility through integrated environmental decision-making , 2009 .

[24]  Maria Martchouk Travel time reliability , 2009 .

[25]  Jouveinal Laboratoires,et al.  Communiqué de presse , 2008, Acta Endoscopica.

[26]  Anna Nagurney,et al.  Sustainable Supply Chain and Transportation Networks , 2007 .

[27]  Eiichi Taniguchi,et al.  Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows , 2006 .

[28]  A. Gunasekaran,et al.  A framework for supply chain performance measurement , 2004 .

[29]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[30]  M. Ehrgott Approximation algorithms for combinatorial multicriteria optimization problems , 2000 .

[31]  Mohamed Mohamed Naim,et al.  Modelling the consequences of a strategic supply chain initiative of an automotive aftermarket operation , 1999 .

[32]  George O. Wesolowsky,et al.  Probabilisticlp distances in location models , 1992, Ann. Oper. Res..

[33]  R. Love,et al.  Mathematical Models of Road Travel Distances , 1979 .

[34]  L. Ntziachristos COPERT III Computer programme to calculate emissions from road transport , 2022 .