Incentivising-by-penalty: The optimal return strategy for a reusable transport item rental platform

Min Guo, Hing Kai Chan, Xiang T.R. Kong*, Dimple R. Thadani

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

The sustainability of modern supply chains is intricately linked to the efficiency of reusable transport items (RTI). This study addresses the challenge of ensuring the timely return of RTIs by customers, as the underutilisation of RTIs leads to increased environmental impacts. By introducing a data-driven penalty scheme designed to incentivise timely returns through customised penalties, the study offers an innovative, tailored approach for RTI behavioural operations management. Real-case results showcase the potential of the scheme to enhance return rates, reduce RTI stockpiling, improve customer relations and mitigate environmental degradation. Our findings reveal diverse impacts associated with the implementation of balanced penalties that align with customers’ heterogeneous penalty sensitivity and demand level variability, thereby enhancing the effectiveness of the penalty scheme. These insights also offer valuable guidance for practitioners and policymakers seeking to enhance management efficiency and promote environmental stewardship in RTI supply chain operations.

Original languageEnglish
Article number104339
Number of pages18
JournalTransportation Research Part D: Transport and Environment
Volume134
Early online date30 Jul 2024
DOIs
Publication statusPublished - Sept 2024

Scopus Subject Areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

User-Defined Keywords

  • Behaviour operations management
  • Data-driven penalty scheme
  • Rental platform
  • RTI return management
  • Sustainable closed-loop supply chain

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