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Assessing the environmental benefits of horizontal cooperation using a location-inventory model

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Abstract

As customers are aware of the climate change, eco-friendly strategies have become a competitive advantage for companies. In particular, they are aiming to reduce their carbon footprint along their supply chain. In this context, substantial \(\hbox {CO}_{2}\) emissions reductions can be reached by horizontal cooperation, i.e. the collaboration of companies that work at the same level of the supply chain. In this paper, we evaluate these reductions using a location-inventory model which minimizes facility opening, transportation, cycle inventory, ordering and safety stock costs. To understand the impact of different market and partners characteristics on the \(\hbox {CO}_{2}\) emissions reductions, we compute a large set of numerical experiments, varying several key parameters (vehicles capacity, facility opening cost, inventory holding cost, order cost, demand variability and distances). Results show that horizontal cooperation reduces \(\hbox {CO}_{2}\) emissions by 16% on average. Moreover, horizontal cooperation is more effective in decreasing the carbon footprint of companies with low facility opening costs and low order costs, carrying expensive products (high unit holding cost) on a market with a high demand variability and a vast market area.

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Notes

  1. The model is detailed in Hacardiaux and Tancrez (2018), and can be seen as an extension of the models proposed by Atamtürk et al. (2012) and by Schuster Puga and Tancrez (2017).

  2. The average distance traveled between a DC and retailer is computed as follows: \(\sum _{d,r}\frac{\varLambda _{r}}{Q_{dr}}\,D_{dr}\,y_{dr}/\sum _{d,r}\frac{\varLambda _{r}}{Q_{dr}}\,y_{dr}\).

References

  • Atamtürk A, Berenguer G, Shen ZJ (2012) A conic integer programming approach to stochastic joint location-inventory problems. Oper Res 60(2):366–381

    Google Scholar 

  • Ballot E, Fontane F (2010) Reducing transportation \(\text{ CO }_{2}\) emissions through pooling of supply networks: perspectives from a case study in french retail chains. Prod Plann Control 21(6):640–650

    Google Scholar 

  • Chaabane A, Ramudhin A, Paquet M (2012) Design of sustainable supply chains under the emission trading scheme. Int J Prod Econ 135(1):37–49

    Google Scholar 

  • Chen L, Olhager J, Tang O (2014) Manufacturing facility location and sustainability: a literature review and research agenda. Int J Prod Econ 149:154–163

    Google Scholar 

  • Christopher M (2016) Logistics and supply chain management. Pearson, London

    Google Scholar 

  • Comas Martí JM, Tancrez JS, Seifert RW (2015) Carbon footprint and responsiveness trade-offs in supply chain network design. Int J Prod Econ 166:129–142

    Google Scholar 

  • Creemers S, Woumans G, Boute R, Beliën J (2017) Tri-vizor uses an efficient algorithm to identify collaborative shipping opportunities. Interfaces 47(3):244–259

    Google Scholar 

  • Cruijssen F (2006) Horizontal cooperation in transport and logistics. Thesis, CentER, Tilburg University

  • Cruijssen F, Cools M, Dullaert W (2007) Horizontal cooperation in logistics: opportunities and impediments. Transp Res E Logist Transp Rev 43(2):129–142

    Google Scholar 

  • Cuervo DP, Vanovermeire C, Sörensen K (2016) Determining collaborative profits in coalitions formed by two partners with varying characteristics. Transp Res Part C Emerg Technol 70:171–184

    Google Scholar 

  • Danloup N, Mirzabeiki V, Allaoui H, Goncalves G, Julien D, Mena C (2015) Reducing transportation greenhouse gas emissions with collaborative distribution: a case study. Manag Res Rev 38(10):1049–1067

    Google Scholar 

  • Dekker R, Bloemhof J, Mallidis I (2012) Operations research for green logistics—an overview of aspects, issues, contributions and challenges. Eur J Oper Res 219(3):671–679

    Google Scholar 

  • Diabat A, Abdallah T, Al-Refaie A, Svetinovic D, Govindan K (2013) Strategic closed-loop facility location problem with carbon market trading. IEEE Trans Eng Manag 60(2):398–408

    Google Scholar 

  • Ergun O, Kuyzu G, Savelsbergh M (2007) Reducing truckload transportation costs through collaboration. Transp Sci 41(2):206–221

    Google Scholar 

  • Fahimnia B, Sarkis J, Eshragh A (2015) A tradeoff model for green supply chain planning: a leanness-versus-greenness analysis. Omega 54:173–190

    Google Scholar 

  • Farahani RZ, Rezapour S, Drezner T, Fallah S (2014) Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45:92–118

    Google Scholar 

  • Farahani RZ, Rashidi Bajgan H, Fahimnia B, Kaviani M (2015) Location-inventory problem in supply chains: a modelling review. Int J Prod Res 53(12):3769–3788

    Google Scholar 

  • Frisk M, Göthe-Lundgren M, Jörnsten K, Rönnqvist M (2010) Cost allocation in collaborative forest transportation. Eur J Oper Res 205(2):448–458

    Google Scholar 

  • Hacardiaux T, Tancrez JS (2018) Assessing the benefits of horizontal cooperation using a location-inventory model, cORE Discussion Paper 2018/14, Université catholique de Louvain

  • Hageback C, Segerstedt A (2004) The need for co-distribution in rural areas: a study of Pajala in Sweden. Int J Prod Econ 89(2):153–163

    Google Scholar 

  • Harris I, Mumford C, Naim M (2009) The multi-objective uncapacitated facility location problem for green logistics. In: IEEE congress on evolutionary computation, 2009. CEC’09. IEEE, pp 2732–2739

  • Harris I, Mumford CL, Naim MM (2011a) An evolutionary bi-objective approach to the capacitated facility location problem with cost and \(\text{ CO }_2\) emissions. In: Proceedings of the 13th annual conference on genetic and evolutionary computation, ACM, pp 697–704

  • Harris I, Naim M, Palmer A, Potter A, Mumford C (2011b) Assessing the impact of cost optimization based on infrastructure modeling on \(\text{ CO }_{2}\) emissions. Int J Prod Econ 131(1):313–321

    Google Scholar 

  • Hickman J, Hassel D, Joumard R, Samaras Z, Sorenson S (1999) Methodology for calculating transport emissions and energy consumption. Transport Research Laboratory, Berkshire, United Kingdom

    Google Scholar 

  • Juan AA, Faulin J, Pérez-Bernabeu E, Jozefowiez N (2014) Horizontal cooperation in vehicle routing problems with backhauling and environmental criteria. Proc Soc Behav Sci 111:1133–1141

    Google Scholar 

  • Kaviani M (2009) Location-inventory problem, chap 19. In: Farahani RZ, Hekmatfar M (eds) Facility location: concepts, models, algorithms and case studies. Springer, Heidelberg, pp 451–471

    Google Scholar 

  • Linton JD, Klassen R, Jayaraman V (2007) Sustainable supply chains: an introduction. J Oper Manag 25(6):1075–1082

    Google Scholar 

  • Melo MT, Nickel S, Saldanha-Da-Gama F (2009) Facility location and supply chain management—a review. Eur J Oper Res 196(2):401–412

    Google Scholar 

  • Moutaoukil A, Derrouiche R, Neubert G (2013) Modélisation d’une stratégie de mutualisation logistique en intégrant les objectifs de développement durable pour des PME agroalimentaires. In: 13e Congrès International de Génie Industriel (CIGI’13)

  • Moutaoukil A, Neubert G, Derrouiche R (2015) Urban Freight Distribution: The impact of delivery time on sustainability. IFAC-PapersOnLine 48(3):2368–2373

    Google Scholar 

  • Nair KP (2016) The nutrient buffer power concept for sustainable agriculture. Notion Press, Chennai

    Google Scholar 

  • Nozick LK, Turnquist MA (2001) A two-echelon inventory allocation and distribution center location analysis. Transp Res Part E Logist Transp Rev 37(6):425–441

    Google Scholar 

  • Ouhader H, El Kyal M (2017) The impact of horizontal collaboration on \(\text{ CO }_{2}\) emissions due to road transportation. In: Proceedings of the international conference on industrial engineering and operations management

  • Özceylan E, Paksoy T (2013) A mixed integer programming model for a closed-loop supply-chain network. Int J Prod Res 51(3):718–734

    Google Scholar 

  • Özceylan E, Paksoy T, Bektaş T (2014) Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing. Transp Res Part E Logist Transp Rev 61:142–164

    Google Scholar 

  • Pagell M, Wu Z (2009) Building a more complete theory of sustainable supply chain management using case studies of 10 exemplars. J Supply Chain Manag 45(2):37–56

    Google Scholar 

  • Paksoy T, Özceylan E (2014) Environmentally conscious optimization of supply chain networks. J Oper Res Soc 65(6):855–872

    Google Scholar 

  • Paksoy T, Bektaş T, Özceylan E (2011) Operational and environmental performance measures in a multi-product closed-loop supply chain. Transp Res Part E Logist Transp Rev 47(4):532–546

    Google Scholar 

  • Paksoy T, Özceylan E, Weber GW (2013) Profit oriented supply chain network optimization. Central Eur J Oper Res 21(2):455–478

    Google Scholar 

  • Pan S, Ballot E, Fontane F (2013) The reduction of greenhouse gas emissions from freight transport by pooling supply chains. Int J Prod Econ 143(1):86–94

    Google Scholar 

  • Pérez-Bernabeu E, Juan AA, Faulin J, Barrios BB (2015) Horizontal cooperation in road transportation: a case illustrating savings in distances and greenhouse gas emissions. Int Trans Oper Res 22(3):585–606

    Google Scholar 

  • Plambeck EL (2007) The greening of wal-mart’s supply chain. Supply Chain Manag Rev 11(5):18–25

    Google Scholar 

  • Ramanathan V, Feng Y (2009) Air pollution, greenhouse gases and climate change: global and regional perspectives. Atmosp Environ 43(1):37–50

    Google Scholar 

  • Rezapour S, Zanjirani Farahani R, Drezner T (2011) Strategic design of competing supply chain networks for inelastic demand. J Oper Res Soc 62(10):1784–1795

    Google Scholar 

  • Rogelj J, Den Elzen M, Höhne N, Fransen T, Fekete H, Winkler H, Schaeffer R, Sha F, Riahi K, Meinshausen M (2016) Paris agreement climate proposals need a boost to keep warming well below \(2~^{\circ }C\). Nature 534(7609):631

    Google Scholar 

  • Schuster Puga M, Tancrez JS (2017) A heuristic algorithm for solving large location-inventory problems with demand uncertainty. Eur J Oper Res 259(2):413–423

    Google Scholar 

  • Seuring S (2013) A review of modeling approaches for sustainable supply chain management. Decis Support Syst 54(4):1513–1520

    Google Scholar 

  • Seuring S, Müller M (2008) From a literature review to a conceptual framework for sustainable supply chain management. J Clean Product 16(15):1699–1710

    Google Scholar 

  • Shen ZJM, Coullard C, Daskin MS (2003) A joint location-inventory model. Transp Sci 37(1):40–55

    Google Scholar 

  • Soysal M, Bloemhof-Ruwaard JM, Haijema R, van der Vorst JG (2018) Modeling a green inventory routing problem for perishable products with horizontal collaboration. Comput Oper Res 89:168–182

    Google Scholar 

  • Sundarakani B, De Souza R, Goh M, Wagner SM, Manikandan S (2010) Modeling carbon footprints across the supply chain. Int J Prod Econ 128(1):43–50

    Google Scholar 

  • Tancrez JS, Lange JC, Semal P (2012) A location-inventory model for large three-level supply chains. Transp Res Part E Logist Transp Rev 48(2):485–502

    Google Scholar 

  • UNFCCC (2015) Adoption of the Paris Agreement Report No. FCCC/CP/2015/L.9/Rev.1, http://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf. Accessed 27 June 2018

  • Verdonck L, Beullens P, Caris A, Ramaekers K, Janssens GK (2016) Analysis of collaborative savings and cost allocation techniques for the cooperative carrier facility location problem. J Oper Res Soc 67(6):853–871

    Google Scholar 

  • Zhang ZH, Unnikrishnan A (2016) A coordinated location-inventory problem in closed-loop supply chain. Transp Res Part B Methodol 89:127–148

    Google Scholar 

Download references

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Authors and Affiliations

  1. CORE - Center for Operations Research and Econometrics, Université catholique de Louvain, Chaussée de Binche, 151, 7000, Mons, Belgium

    Thomas Hacardiaux & Jean-Sébastien Tancrez

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  1. Thomas Hacardiaux
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  2. Jean-Sébastien Tancrez
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Correspondence to Thomas Hacardiaux.

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Hacardiaux, T., Tancrez, JS. Assessing the environmental benefits of horizontal cooperation using a location-inventory model. Cent Eur J Oper Res 28, 1363–1387 (2020). https://doi.org/10.1007/s10100-018-0599-7

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  • DOI: https://doi.org/10.1007/s10100-018-0599-7

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