Inbound Replenishment and Outbound Dispatch Decisions under Hybrid Shipment Consolidation Policies: An Analytical Model and Comparison
Bo Wei, Sila Cetinkaya, Daren B. H. Cline

TL;DR
This paper develops an analytical model to compare hybrid, time-based, and quantity-based shipment consolidation policies in a distribution warehouse, focusing on costs, delays, and inventory under stochastic demand.
Contribution
It provides an explicit analytical comparison of different shipment consolidation policies, highlighting the benefits of hybrid policies over traditional methods.
Findings
Hybrid policies reduce total costs compared to other policies.
Shipment consolidation impacts customer wait times and inventory levels.
Analytical formulas enable direct comparison without complex optimization.
Abstract
We consider a distribution warehouse where both the inbound inventory replenishment and outbound dispatch decisions are subject to fixed (as well as per-unit) transportation charges and demand is stochastic. In order to realize scale economies associated with transportation operations both on the outbound and inbound sides, dispatch schedules must be synchronized over time with inventory replenishment decisions. An immediate delivery policy on the outbound side does not make economic sense because outbound dispatch operations and costs will benefit from a temporal shipment consolidation policy. Our particular interest in this setting is the exact modeling and analysis of hybrid shipment consolidation policies, in comparison to the time- and quantity-based counterparts. Since shipment consolidation prolongs customer waiting and inventory holding, we investigate average delay penalty per…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSupply Chain and Inventory Management · Urban and Freight Transport Logistics · Scheduling and Optimization Algorithms
