Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
This paper proposes a dynamic vehicle routing problem (DVRP) model with fuzzy customer responses and suggests optimal routing strategies. Most DVRP studies have focused on how to create a new route upon the occurrence of dynamic situations such as unexpected demands. However, the customer responses have received little attention. When a pop-up demand is added to one of the planned routes, the service for some optimally planned demands may be delayed. Customers may file complaints or cancel their orders as a result of the delays. As a result, the customer response has a significant impact on current profits as well as future demands. In this research, we consider the customer response in DVRP and address it with a fuzzy number. Changing distances or defining time windows can resolve the problem of customer response. The customer responses are represented by a fuzzy rule. The new routing strategy provides the viability to reduce customer complaints and avoid losing potential customers.
This paper proposes a dynamic vehicle routing problem (DVRP) model with fuzzy customer responses and suggests optimal routing strategies. Most DVRP studies have focused on how to create a new route upon the occurrence of dynamic situations such as unexpected demands. However, the customer responses have received little attention. When a pop-up demand is added to one of the planned routes, the service for some optimally planned demands may be delayed. Customers may file complaints or cancel their orders as a result of the delays. As a result, the customer response has a significant impact on current profits as well as future demands. In this research, we consider the customer response in DVRP and address it with a fuzzy number. Changing distances or defining time windows can resolve the problem of customer response. The customer responses are represented by a fuzzy rule. The new routing strategy provides the viability to reduce customer complaints and avoid losing potential customers.
Dynamic Vehicle Routing Problem with Fuzzy Customer Response
Gitae Kim (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Collaborative Multidepot Vehicle Routing Problem with Dynamic Customer Demands and Time Windows
| DOAJ | 2022
Hybrid Heuristic Approaches for Vehicle Routing Problem with Fuzzy Demands
| British Library Conference Proceedings | 2010
Hybrid Meta-Heuristic Approaches for Vehicle Routing Problem with Fuzzy Demands
| British Library Online Contents | 2010
Dynamic Vehicle Routing Problem Using Hybrid Ant System
| British Library Conference Proceedings | 2003