Publication | Closed Access
On the Miller‐Tucker‐Zemlin Based Formulations for the Distance Constrained Vehicle Routing Problems
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Citations
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References
2010
Year
Mathematical ProgrammingEngineeringLogistics OptimizationTransportation Systems ModelingConstrained OptimizationLongest DistanceDiscrete OptimizationOperations ResearchConstraint ProgrammingVehicle RoutingTraveling Salesman ProblemPath ProblemsSystems EngineeringLogisticsCombinatorial OptimizationTransportation EngineeringLinear OptimizationInteger ProgrammingRoute ChoiceRoute PlanningOptimization ProblemBusinessFormulation F1Vehicle Routing Problem
Vehicle Routing Problem (VRP), is an extension of the well known Traveling Salesman Problem (TSP) and has many practical applications in the fields of distribution and logistics. When the VRP consists of distance based constraints it is called Distance Constrained Vehicle Routing Problem (DVRP). However, the literature addressing on the DVRP is scarce. In this paper, existing two‐indexed integer programming formulations, having Miller‐Tucker‐Zemlin based subtour elimination constraints, are reviewed. Existing formulations are simplified and obtained formulation is presented as formulation F1. It is shown that, the distance bounding constraints of the formulation F1, may not generate the distance traveled up to the related node. To do this, we redefine the auxiliary variables of the formulation and propose second formulation F2 with new and easy to use distance bounding constraints. Adaptation of the second formulation to the cases where new restrictions such as minimal distance traveled by each vehicle or other objectives such as minimizing the longest distance traveled is discussed.
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