网络设计考虑了服务时间的调节和挂车的掉落和交换操作

IF 2.8 4区 管理学 Q2 MANAGEMENT
E. Powell Robinson Jr., Funda Sahin, Li-Lian Gao
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network design with consideration of hours-of-service regulation and drop-and-swap trailer operations

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.

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来源期刊
DECISION SCIENCES
DECISION SCIENCES MANAGEMENT-
CiteScore
12.40
自引率
1.80%
发文量
34
期刊介绍: Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.
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