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This research, motivated by collaboration with a leading manufacturer and distributor of building products, introduces two distribution network design models considering federally mandated hours of service restrictions on truck drivers and drop-and-swap trailer operations.A key feature of the drop-and-swap transport mode is the decoupling of linehaul and last-mile delivery operations, which enables geographic extension of last-mile delivery routes while complying with hours of service driver regulations and providing next-day delivery service.The models simultaneously determine the profit-maximizing size, number, and location of order fulfillment facilities and satellite drop-and-swap terminals, and systemwide transportation flows.A case study of the firm's distribution network reveals that the new location models improve profitability by approximately 5% when compared with traditional network design approaches.An experimental study of five marketing and operational characteristics shows when the models are most advantageously applied.Overall, profit improvements range from 2.32% to 10.97% on a set of 288 test problems.The research provides new insights for integrated facility location and transportation strategic design.The potential application of the models in a variety of e-commerce scenarios is promising.

Publication Details

Journal
Decision Sciences
Published
2025-02-01
DOI
https://doi.org/10.1111/deci.12662
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
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IN THIS ISSUE

Decision Sciences
Vehicle Routing Optimization Methods
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IN THIS ISSUE

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Abstract

This research, motivated by collaboration with a leading manufacturer and distributor of building products, introduces two distribution network design models considering federally mandated hours of service restrictions on truck drivers and drop-and-swap trailer operations.A key feature of the drop-and-swap transport mode is the decoupling of linehaul and last-mile delivery operations, which enables geographic extension of last-mile delivery routes while complying with hours of service driver regulations and providing next-day delivery service.The models simultaneously determine the profit-maximizing size, number, and location of order fulfillment facilities and satellite drop-and-swap terminals, and systemwide transportation flows.A case study of the firm's distribution network reveals that the new location models improve profitability by approximately 5% when compared with traditional network design approaches.An experimental study of five marketing and operational characteristics shows when the models are most advantageously applied.Overall, profit improvements range from 2.32% to 10.97% on a set of 288 test problems.The research provides new insights for integrated facility location and transportation strategic design.The potential application of the models in a variety of e-commerce scenarios is promising.

Decision SciencesVol. 56(1)
Openalex Percentile: Top 97%
Vehicle Routing Optimization Methods
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