Modeling a Carbon-Efficient Road–Rail Intermodal Routing Problem with Soft Time Windows in a Time-Dependent and Fuzzy Environment by Chance-Constrained Programming

This study explores a road–rail intermodal routing problem. To improve the carbon efficiency of transportation, reducing CO2 emissions is considered by the routing. Soft time windows are incorporated into the routing to optimize the timeliness of the first-mile pickup and last-mile delivery services...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Systems (Basel) Ročník 11; číslo 8; s. 403
Hlavní autori:	Sun, Yan, Sun, Guohua, Huang, Baoliang, Ge, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2023
Predmet:	Carbon Carbon dioxide carbon-efficient intermodal routing chance-constrained programming China Confidence intervals Costs Delivery services Efficiency Empirical analysis Energy consumption Environmental tax Flexibility Fuzzy algorithms fuzzy environment Fuzzy logic Fuzzy sets Fuzzy systems Integer programming Intermodal Intermodal transportation Mathematical optimization Multiple objective analysis Optimization Optimization models Parameter sensitivity Problem solving Railroads Roads Roads & highways Sensitivity analysis soft time windows Streets Sustainable development Tax rates Tax regulations Time dependence time-dependent speed Transportation Transportation industry Transportation services truck departure time and speed matching Windows (intervals) China
ISSN:	2079-8954, 2079-8954
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!