Integrated inventory control and scheduling decision framework for packaging and products on a reusable transport item sharing platform

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

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)

Abstract

This study considers the problem of inventory and scheduling decisions on a reusable transport item (RTI) sharing platform with the collaborative recovery of used RTIs and replenishment of products in a two-tier container management centre (CMC). The products (packaged as full RTIs) are pre-positioned at the regional CMC (R-CMC), and empty RTIs are stored at the CMC hub. Moreover, the CMC replenishes the products and recycles RTIs respectively and periodically. The RTI and products are a set of complementary products, and the replenishment task requires sufficient empty RTIs in stock. Untimely and insufficient RTI returns without considering product inventory changes often result in RTI out-of-stock situations that harm the customer's lean productivity. This paper proposes a machine learning and simulation optimisation (MSO) decision framework to collaboratively assist RTI inventory and scheduling decisions in a two-tier CMC. Based on a case study, we can conclude the decision framework has better performance on the profitability and inventory control capability. Moreover, different inventory and scheduling parameter settings in the two-tier CMCs impact the platform's profitability to derive corresponding management insights, and a decision system can be built based on the above framework.

Original languageEnglish
Pages (from-to)4575-4591
Number of pages17
JournalInternational Journal of Production Research
Volume61
Issue number13
DOIs
Publication statusPublished - Mar 2023

Scopus Subject Areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

User-Defined Keywords

  • RTI logistics system
  • inventory control and scheduling
  • decision support
  • RTI sharing platform
  • RTI replenishment and recycling

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