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.
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Studying how Carrefour redesigned its supply chain showed that gains were not spectacular.
“We looked at this, studying how Carrefour had redesigned its supply chain, but gains were not spectacular (Antheaume, Thiel, de Corbière, Rowe, & Takeda, 2018;de Corbière, Takeda, Habib, Rowe, & Thiel, 2016).”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as Antheaume et al., 2018
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An organizational theoretic review of green supply chain management literature
Sarkis, J., Zhu, Q., & Lai, K. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.11.010 · Cited by 2,276 · see citing works
A framework for supply chain performance measurement
Gunasekaran, A., Patel, C., & McGaughey, R. E. (2003) · International Journal of Production Economics · doi:10.1016/j.ijpe.2003.08.003 · Cited by 2,201 · see citing works
Supply Chain Inventory Management and the Value of Shared Information
Cachon, G. P., & Fisher, M. L. (2000) · Management Science · doi:10.1287/mnsc.46.8.1032.12029 · Cited by 1,868 · see citing works
Quantitative models for sustainable supply chain management: Developments and directions
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. A. (2013) · European Journal of Operational Research · doi:10.1016/j.ejor.2013.09.032 · Cited by 1,202 · see citing works
A review of modeling approaches for sustainable supply chain management
Seuring, S. A. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.05.053 · Cited by 1,004 · see citing works
Dekker, R., Bloemhof‐Ruwaard, J. M., & Mallidis, I. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.11.010 · Cited by 955 · see citing works
A multi-objective optimization for green supply chain network design
Wang, F., Lai, X., & Shi, N. (2010) · Decision Support Systems · doi:10.1016/j.dss.2010.11.020 · Cited by 645 · see citing works
Green supply chain network design to reduce carbon emissions
Elhedhli, S., & Merrick, R. (2012) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2012.02.002 · Cited by 458 · see citing works
Green Logistics: Improving the Environmental Sustainability of Logistics
Akyelken, N. (2011) · Transport Reviews · doi:10.1080/01441647.2010.537101 · Cited by 254 · see citing works
Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows
Ando, N., & Taniguchi, E. (2006) · Networks and Spatial Economics · doi:10.1007/s11067-006-9285-8 · Cited by 182 · see citing works
Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions
Harris, I., Naim, M., Palmer, A. J., et al. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.03.005 · Cited by 181 · see citing works
Mathematical Models of Road Travel Distances
Love, R. F., & Morris, J. (1979) · Management Science · doi:10.1287/mnsc.25.2.130 · Cited by 174 · see citing works
Harris, I., Mumford, C. L., & Naim, M. M. (2014) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2014.01.010 · Cited by 173 · see citing works
Cruz, J. M., & Matsypura, D. (2008) · International Journal of Production Research · doi:10.1080/00207540701513901 · Cited by 158 · see citing works
The impact of greening on supply chain design and cost: a case for a developing region
Mallidis, I., Dekker, R., & Vlachos, D. (2012) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2011.12.007 · Cited by 150 · see citing works
Impact of information sharing and green information systems
Meacham, J., Toms, L. C., Green, K. W., & Bhadauria, V. S. (2013) · Management Research Review · doi:10.1108/01409171311327244 · Cited by 75 · see citing works
Sustainable Supply Chain and Transportation Networks
Nagurney, A., Liu, Z., & Woolley, T. (2007) · International Journal of Sustainable Transportation · doi:10.1080/15568310601060077 · Cited by 68 · see citing works
Truck-sharing challenges for hinterland trucking companies
Islam, S., & Olsen, T. L. (2014) · Business Process Management Journal · doi:10.1108/bpmj-03-2013-0042 · Cited by 65 · see citing works
Environmentally conscious optimization of supply chain networks
Paksoy, T., & Özceylan, E. (2013) · Journal of the Operational Research Society · doi:10.1057/jors.2012.95 · Cited by 57 · see citing works
Reducing transportation greenhouse gas emissions with collaborative distribution
Danloup, N., Mirzabeiki, V., Allaoui, H., et al. (2015) · Management Research Review · doi:10.1108/mrr-11-2014-0262 · Cited by 56 · see citing works
Sustainable Operations Management: design, modelling and analysis
Gunasekaran, A., & Irani, Z. (2014) · Journal of the Operational Research Society · doi:10.1057/jors.2014.26 · Cited by 49 · see citing works
Environmental assessment of shipment release policies
Merrick, R., & Bookbinder, J. H. (2010) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600031011093197 · Cited by 31 · see citing works
Hammant, J., Disney, S. M., Childerhouse, P., et al. (1999) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600039910287501 · Cited by 26 · see citing works
Probabilisticl p distances in location models
Brimberg, J., & Wesolowsky, G. O. (1992) · Annals of Operations Research · doi:10.1007/bf02060470 · Cited by 11 · see citing works
Interfirm Strategic Information Flows in Logistics Supply Chain Relationships1
Klein, R., & Rai, A. (2009) · MIS Quarterly · doi:10.2307/20650325 · Cited by 11 · see citing works
Carbon emission based optimisation approach for the facility location problem
Kiriş, S. B., & Esnaf, Ş. (2014) · DergiPark (Istanbul University) · Cited by 6 · see citing works
A methodology for estimating expected distances between nodes on a network
Hale, T. S., Huq, F., Hipkin, I., et al. (2012) · Journal of the Operational Research Society · doi:10.1057/jors.2012.33 · Cited by 4 · see citing works
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Self-citation
- Authors
- Antheaume, N., Thiel, D., de Corbière, F., Rowe, F., & Takeda, H.
- Affiliations
- Laboratoire d'Economie et de Management de Nantes Atlantique (FR)
- Centre National de la Recherche Scientifique (FR)
- LEMNA, Institut Mines Telecom Atlantique, Nantes, France
- SKEMA Business School (FR)
- Université Laval (CA)
- Corresponding author
- Antheaume, Nicolas
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 2018-01-19
- Volume
- 69
- Issue
- 12
- Pages
- 1888-1902
- ISSN
- 0160-5682 (ISSN-L)
- 1476-9360
- OpenAlex
- W2905285287
- Cited by
- 17
- References
- 27
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 1 · 2020: 3
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Operational Research Society (publishedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- French Ministry for Transport
- French Agency for Environment and Energy Management
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Supply Chain and Inventory Management
- Physical Sciences › Engineering › Building and Construction › Urban and Freight Transport Logistics
- Keywords
- CO2 emissions, freight consolidation, warehouse location, green logistics, cost-benefit analysis, facility location, analytical model
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