Fuzzy Approaches and Simulation-Based Reliability Modeling to Solve a Road–Rail Intermodal Routing Problem with Soft Delivery Time Windows When Demand and Capacity are Uncertain

In this study, a freight routing problem considering both soft delivery time windows and demand and capacity uncertainty in a road–rail intermodal transportation system is investigated. According to fuzzy set theory, uncertain demands and capacities are formulated as trapezoidal fuzzy numbers. Soft...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 22; H. 7; S. 2119 - 2148
1. Verfasser:	Sun, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2020 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Costs Customer services Demand Engineering Fuzzy logic Fuzzy set theory Fuzzy sets Integer programming Intermodal Intermodal transportation Management Science Mixed integer Nonlinear programming North American Free Trade Agreement Operations Research Optimization Parameters Reliability analysis Roads & highways Routing Schedules Simulation Transportation services Transportation systems Windows (intervals) Road–rail intermodal routing Fuzzy chance-constrained programming Fuzzy programming model Fuzzy expected value Soft time windows Simulation-based reliability Fuzzy ranking Capacity uncertainty Demand uncertainty
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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