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Haulage sharing approach to achieve sustainability in material purchasing: New method and numerical applications

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  • Andriolo, Alessandro
  • Battini, Daria
  • Persona, Alessandro
  • Sgarbossa, Fabio

Abstract

Transportation costs are becoming increasingly important in inventory replenishment decisions and, in practice, lot sizing decisions are strongly affected by material handling equipment, transportation flow paths, vehicle capacities and technical constraints. Companies within a global sourcing context daily experience the cost of transportation as playing a major role in total purchasing costs. On the other hand, sustainability issues are always more urgent and environmental impact assessment is becoming a key requirement for materials purchasing and transportation choices. This work is particularly focusing on an interesting new area of research: the haulage-sharing in freight transportation when sustainability considerations are taken into account. The paper develops and discusses a new haulage-sharing lot sizing model in which two partners are cooperating in sharing transportation paths and handling units. A three step methodology based on multi-objective optimization approach is here proposed to permit the complete evaluation of the costs and savings that arise with an horizontal cooperation. The method is described here and applied to two different numerical cases in order to drive useful conclusions and discuss future research steps.

Suggested Citation

  • Andriolo, Alessandro & Battini, Daria & Persona, Alessandro & Sgarbossa, Fabio, 2015. "Haulage sharing approach to achieve sustainability in material purchasing: New method and numerical applications," International Journal of Production Economics, Elsevier, vol. 164(C), pages 308-318.
  • Handle: RePEc:eee:proeco:v:164:y:2015:i:c:p:308-318
    DOI: 10.1016/j.ijpe.2014.12.011
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    5. Daria Battini & Martina Calzavara & Ilaria Isolan & Fabio Sgarbossa & Francesco Zangaro, 2018. "Sustainability in Material Purchasing: A Multi-Objective Economic Order Quantity Model under Carbon Trading," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    6. Suchitra Pattnaik & Mitali Madhusmita Nayak & Stefano Abbate & Piera Centobelli, 2021. "Recent Trends in Sustainable Inventory Models: A Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    7. Ravi Shankar Kumar & Alok Choudhary & Soudagar A. K. Irfan Babu & Sri Krishna Kumar & A. Goswami & M. K. Tiwari, 2017. "Designing multi-period supply chain network considering risk and emission: a multi-objective approach," Annals of Operations Research, Springer, vol. 250(2), pages 427-461, March.
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    9. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    10. Chen, Lujie & Zhao, Xiande & Tang, Ou & Price, Lydia & Zhang, Shanshan & Zhu, Wenwen, 2017. "Supply chain collaboration for sustainability: A literature review and future research agenda," International Journal of Production Economics, Elsevier, vol. 194(C), pages 73-87.
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