A robust inventory routing policy under inventory inaccuracy and replenishment lead-time

Ming Li, Zheng Wang, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)


In this paper, we study an inventory routing problem under replenishment lead-time and inventory inaccuracy, which exist extensively in distribution systems for fresh products, but are often ignored in existing research. To solve the problem, a robust inventory routing policy is developed in three steps. At first, we propose the methods of updating the probability of the current net inventory and predicting those in future periods. For each candidate route, we develop a Robust TQL Algorithm to optimize the replenishment time, replenishment quantity and replenishment stage length. Finally, a genetic algorithm-based method is developed to optimize the delivery route.
Original languageEnglish
Pages (from-to)290-305
Number of pages16
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 1 Jul 2016


  • Inventory inaccuracy
  • Inventory routing
  • Robust policy

ASJC Scopus subject areas

  • Business and International Management
  • Transportation
  • Management Science and Operations Research


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