Multiobjective Green Time-Dependent Location-Routing Problem and Algorithms

To reduce the logistic cost and carbon emission and improve customer satisfaction, this study proposes a multiobjective green time-dependent location routing problem (MOGTDLRP) model in which the objectives are to minimize the distribution total cost, delivery time, and fuel consumption. This model...

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Veröffentlicht in:Advances in Operations Research Jg. 2022; S. 1 - 16
Hauptverfasser: Zhang, Hua-Xin, Zhang, Chun-Miao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 21.05.2022
John Wiley & Sons, Inc
Schlagworte:
Acceptance criteria
Air quality management
Algorithms
Analysis
Carbon
Consumption
Cost reduction
Customer satisfaction
Customer services
Distribution costs
Emission analysis
Emissions (Pollution)
Energy consumption
Heuristic
Integer programming
Logistics
Operations research
Optimization
Supply chains
Time dependence
Travel
Travel time
Vehicles
ISSN:1687-9147, 1687-9155
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Zusammenfassung:To reduce the logistic cost and carbon emission and improve customer satisfaction, this study proposes a multiobjective green time-dependent location routing problem (MOGTDLRP) model in which the objectives are to minimize the distribution total cost, delivery time, and fuel consumption. This model will be solved by several hyperheuristic algorithms which include the high-level heuristics and the low-level heuristics. There are three acceptance criterions for the solution: improving and equal, all moves and accept all solutions, and dynamic acceptance criteria. Through the case, the performance of the algorithm and the influence of various factors on the solution are analyzed in this study. The experimental results show that the proposed model can effectively reduce logistic costs, carbon emissions, and vehicle travel time.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-9147
1687-9155
DOI:10.1155/2022/1811689