The time-definite hub line location problem

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences Pub Date : 2025-02-19 DOI:10.1016/j.seps.2025.102185

Esteban Ogazón , Ana María Anaya-Arenas , Angel Ruiz

引用次数: 0

Abstract

This paper introduces the Time-Definite Hub Line Location Problem (TD-HLLP), an innovative extension to the Hub Line Location Problem (HLLP) which aims to capture the time restrictions usually observed in delivery time on real logistics settings. To address this important gap in existing Hub Line models proposed in the literature, we propose a novel formulation that relies on a set-packing approach to enhance efficiency in time-sensitive deliveries. We conduct a thorough numerical analysis of the TD-HLLP behavior under various operational scenarios to explore the intertwined relationship between the number of vehicles performing the inter-hub transportation, the service level (i.e., the promised longest delivery time), and the network cost. Our results provide valuable information to regional transport managers who commit themselves to service constraints on delivery times.

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来源期刊

Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

9.40

自引率

13.10%

发文量

294

审稿时长

58 days

期刊介绍： Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.