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1508. Dynamic Order Allocation to Locker Boxes Under Uncertain Pick-Up Times
Invited abstract in session WC-58: Logistics 2, stream VeRoLog - Vehicle Routing and Logistics.
Wednesday, 12:30-14:00Room: S07 (building: 101)
Authors (first author is the speaker)
| 1. | Simona Mancini
|
| Dipartimento di Ingegneria, Università degli Studi di Palermo | |
| 2. | Margaretha Gansterer
|
| Klagenfurt University |
Abstract
Delivery to locker boxes has become very popular in e-commerce as it is beneficial for companies and also convenient for customers who can flexibly pick-up their parcels. In our study we assume that parcels can be picked-up within three days after delivery. Afterwards, the parcel is removed by the company. However, the uncertainty on the pick-up time negatively affects order acceptance and allocation strategies of the company, yielding to potential inefficiencies of the overall system. To deal with this issue, we study the dynamic order allocation to locker boxes under uncertainty on parcel pick-up times, formulated as a multi-stage stochastic optimization problem, dealing with three types of decisions: (1) whether to accept or not an order, (2) when to delivery it, and (3) to which locker to assign it. To solve this problem, we provide an integer programming classification algorithm which, tuned on simulated optimal decisions made by an oracle model, derives decision rules to be dynamically applied. Results are compared against standard classification algorithms and parametric functions. Furthermore, valuable managerial insights regarding assignment decisions of logistics providers are presented.
Keywords
- Logistics
- Stochastic Optimization
Status: accepted
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