One warehouse multiple retailer systems with vehicle routing costs
Management Science
A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities
Transportation Science
Probabilistic Analyses and Practical Algorithms for Inventory-Routing Models
Operations Research
The Stochastic Inventory Routing Problem with Direct Deliveries
Transportation Science
A Periodic Inventory Routing Problem at a Supermarket Chain
Operations Research
Traveling Salesman Problems with Profits
Transportation Science
Developing a Deterministic Patrolling Strategy for Security Agents
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
HM '09 Proceedings of the 6th International Workshop on Hybrid Metaheuristics
Computers and Operations Research
An Exact Algorithm for the Period Routing Problem
Operations Research
A metaheuristic for a teaching assistant assignment-routing problem
Computers and Operations Research
Flexible variable neighborhood search in dynamic vehicle routing
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Time Slot Management in Attended Home Delivery
Transportation Science
Workforce Management in Periodic Delivery Operations
Transportation Science
Survey of Green Vehicle Routing Problem: Past and future trends
Expert Systems with Applications: An International Journal
A set-covering based heuristic algorithm for the periodic vehicle routing problem
Discrete Applied Mathematics
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The period vehicle routing problem (PVRP) is a variation of the classic vehicle routing problem in which delivery routes are constructed for a period of time (for example, multiple days). In this paper, we consider a variation of the PVRP in which service frequency is a decision of the model. We refer to this problem as the PVRP with service choice (PVRP-SC). We explore modeling issues that arise when service choice is introduced, and suggest efficient solution methods. Contributions are made both in modeling this new variation of the PVRP and in introducing an exact solution method for the PVRP-SC. In addition, we propose a heuristic variation of the exact method to be used for larger problem instances. Computational tests show that adding service choice can improve system efficiency and customer service. We also present general insights on the impact of node distribution on the value of service choice.