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Heterogeneity of Items in an Integrated Item-Sharing and Crowdshipping Setting

In: Operations Research Proceedings 2018

Author

Listed:
  • Moritz Behrend

    (Kiel University)

  • Frank Meisel

    (Kiel University)

Abstract

We consider the operational planning of a platform that integrates two concepts of the sharing economy, namely item-sharing and crowdshipping. In item-sharing, members of a community can temporarily rent items from one another (peer-to-peer). Crowdshipping is an innovative means of transportation where private drivers execute delivery jobs along their intended trips. It has been shown by Behrend and Meisel (Transp Res B Methodol 111:227–243, 2018) that this integration leads to a number of assignment problems, whose optimal solution allows to increase a platform’s profit and the level of service provided to item-sharing consumers. However, this result has only been evaluated for scenarios with homogeneous items so far. Since item-sharing platforms usually serve as a market place for a wide range of products we investigate here how this finding is effected when heterogeneous items are considered. Our results show that integrating crowdshipping with item-sharing becomes even more relevant in a setting with heterogeneous items.

Suggested Citation

  • Moritz Behrend & Frank Meisel, 2019. "Heterogeneity of Items in an Integrated Item-Sharing and Crowdshipping Setting," Operations Research Proceedings, in: Bernard Fortz & Martine Labbé (ed.), Operations Research Proceedings 2018, pages 269-275, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-18500-8_34
    DOI: 10.1007/978-3-030-18500-8_34
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    Cited by:

    1. Behrend, Moritz & Meisel, Frank & Fagerholt, Kjetil & Andersson, Henrik, 2021. "A multi-period analysis of the integrated item-sharing and crowdshipping problem," European Journal of Operational Research, Elsevier, vol. 292(2), pages 483-499.

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