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Sustainable humanitarian operations: closed-loop supply chain

Author

Listed:
  • Daria Battini
  • Umberto Peretti
  • Alessandro Persona
  • Fabio Sgarbossa

Abstract

This paper explores the closed loop supply chain (CLSC) topic by providing a model and evaluating regular humanitarian logistics (R-HL) where the main objective of the operation moves from the reduction of population needs to a minimisation of the overall impact of the disaster and operations. The research focuses on the logistic facility management coupled with material distribution modalities in a situation where items are not just delivered using 'forward channels'. It considers others flows that usually have not been faced by the humanitarian literature, as 'reverse channels' on the management of operations waste. Constraints related to transportation resources in a complex environment, transportation vehicle capacities and delivery time restrictions are considered and different scenarios are analysed. The proposed model optimises resources allocation and prepositioning decisions on a number of test problems. The impact of each proposed practice is evaluated in order to understand its applicability in this particular context.

Suggested Citation

  • Daria Battini & Umberto Peretti & Alessandro Persona & Fabio Sgarbossa, 2016. "Sustainable humanitarian operations: closed-loop supply chain," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 25(1), pages 65-79.
    • Handle: RePEc:ids:ijsoma:v:25:y:2016:i:1:p:65-79
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    Citations

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    Cited by:

    1. Jimoh Eniola Olaogbebikan & Richard Oloruntoba, 2019. "Similarities between disaster supply chains and commercial supply chains: a SCM process view," Annals of Operations Research, Springer, vol. 283(1), pages 517-542, December.
    2. Prima Denny Sentia & Syaimak Abdul Shukor & Amelia Natasya Abdul Wahab & Muriati Mukhtar, 2023. "Logistic distribution in humanitarian supply chain management: a thematic literature review and future research," Annals of Operations Research, Springer, vol. 323(1), pages 175-201, April.
    3. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    4. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    5. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Reprint of “Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 113-125.
    6. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 51-62.

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