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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
  • Nottingham University Business School China, University of Nottingham Ningbo China
  • Nottingham University Business School China
  • Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute
  • Shenzhen University
  • Hong Kong Baptist University

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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
JournalTransportation Research Part D: Transport and Environment
Volume134
DOIs
Publication statusPublished - Sept 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

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