Controlling distribution inventory systems with shipment consolidation and compound Poisson demand

Research output: Contribution to journalArticle

Abstract

We consider a one-warehouse-multiple-retailer inventory system where the retailers face stochastic customer demand, modelled as compound Poisson processes. Deliveries from the central warehouse to groups of retailers are consolidated using a time based shipment consolidation policy. This means that replenishment orders have to wait until a vehicle departures, which increases the lead time for the retailers and therefore also the safety stock. Thus, a trade-off exists between expected shipment costs and holding costs. Our aim is to determine the shipment intervals and the required amount of safety stock for each retailer and the warehouse to minimize total cost, both for backorder costs and fill rate constraints. Previous work has focused on exact solutions which are computationally demanding and not applicable for larger real world problems. The focus of our present work is on the development of computationally attractive heuristics that can be applied in practice. A numerical study shows that the proposed heuristics perform well compared to the exact cost minimizing solutions. We also illustrate that the approaches are appropriate for solving real world problems using data from a large European company.

Details

Authors
Organisations
External organisations
  • University of Mannheim
  • Otto von Guericke University Magdeburg
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Transport Systems and Logistics

Keywords

  • Compound Poisson demand, Inventory, Multi-echelon, Shipment consolidation, Stochastic
Original languageEnglish
JournalEuropean Journal of Operational Research
Publication statusPublished - 2019 Jun 27
Publication categoryResearch
Peer-reviewedYes