Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4960155 | European Journal of Operational Research | 2017 | 33 Pages |
Abstract
This work considers the problem of satisfying transportation requests from a set of suppliers to a set of customers. Each request calls for moving products between a pick-up and a delivery location pair. A commonly adopted approach is the direct-shipping of products, without using intermediate transshipment points, or in-transit merge of shipments. Another alternative strategy that often appears in practice is to use an intermediate cross-dock facility, acting as a consolidation point for transported products. The goal of this paper is to evaluate these inherently different distribution options and to conduct a comprehensive comparative analysis regarding their cost-effectiveness. For this purpose, a local-search optimization framework has been developed. The optimization framework is tested on existing, as well as new benchmark data sets. Various computational experiments have been performed, to analyze the impact of several spatial and temporal characteristics, such as the geographic distribution of customers and suppliers, the proximity of individual pick-up and delivery pairs, the positioning of the depot, the tightness of the capacity and duration constraints, and the time required to handle and consolidate shipments at the cross-dock. The results of the computational experiments are further analyzed through a logistic regression analysis, in order to identify the characteristics that affect the relative effectiveness of the two compared strategies. In addition, a mixed model considering both direct-shipping and cross-docking is tackled by appropriately extending the proposed local-search framework.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Amalia I. Nikolopoulou, Panagiotis P. Repoussis, Christos D. Tarantilis, Emmanouil E. Zachariadis,