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A Generalized Bin Packing Problem for parcel delivery in last-mile logistics

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  • Baldi, Mauro Maria
  • Manerba, Daniele
  • Perboli, Guido
  • Tadei, Roberto

Abstract

In this paper, we present a new problem arising at a tactical level of setting a last-mile parcel delivery service in a city by considering different Transportation Companies (TC), which differ in cost and service quality. The courier must decide which TCs to select for the service in order to minimize the total cost and maximize the total service quality. We show that the problem can be modeled as a new packing problem, the Generalized Bin Packing Problem with bin-dependent item profits (GBPPI), where the items are the parcels to deliver and the bins are the TCs. The aim of the GBPPI is to select the appropriate fleet from TCs and determine the optimal assignment of parcels to vehicles such that the overall net cost is minimized. This cost takes into account both transportation costs and service quality. We provide a Mixed Integer Programming formulation of the problem, which is the starting point for the development of efficient heuristics that can address the GBPPI for instances involving up to 1000 items. Extensive computational tests show the accuracy of the proposed methods. Finally, we present a last-mile logistics case study of an international courier which addresses this problem.

Suggested Citation

  • Baldi, Mauro Maria & Manerba, Daniele & Perboli, Guido & Tadei, Roberto, 2019. "A Generalized Bin Packing Problem for parcel delivery in last-mile logistics," European Journal of Operational Research, Elsevier, vol. 274(3), pages 990-999.
    • Handle: RePEc:eee:ejores:v:274:y:2019:i:3:p:990-999
    DOI: 10.1016/j.ejor.2018.10.056
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    References listed on IDEAS

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    7. Rohit Kumar Singh & Sachin Modgil & Padmanav Acharya, 2019. "Assessment of Supply Chain Flexibility Using System Dynamics Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 39-63, December.
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