A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author)
2023
Article (Journal)
Electronic Resource
Unknown
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