This paper introduces a dynamic multi-period vehicle routing problem with touting as demand management technique, where customers that have not yet placed an order can be actively encouraged to service sooner. Touting the right customers, such those located nearby who already orders, allows for more efficient routes over time. However, it also increases frequency of visits at touted they are se...

delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. in this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several produ...

Title of dissertation: INTEGER PROGRAMMING-BASED HEURISTICS FOR VEHICLE ROUTING PROBLEMS Damon J. Gulczynski Doctor of Philosophy, 2010 Dissertation directed by: Professor Bruce Golden Applied Mathematics and Scientific Computation Robert H. Smith School of Business The vehicle routing problem (VRP) has been an active field of study by operations researchers for over 50 years. Many practical ap...

Multi-echelon distribution systems are quite common in supply-chain and logistic management. They are used by public administrations in their transportation and traffic planning strategies as well as by companies to model their distribution systems. In the literature, most studies address issues related to the movement of flows throughout the system from the origins to their final destinations....

Abstract In this paper, we study the multi-depot k -traveling repairman problem. This problem extends traditional traveling to case. Its objective, similar single depot variant, is minimization of sum arrival times customers. We propose two distinct formulations model problem, obtained on layered graphs. order find feasible solutions for largest instances, a hybrid genetic algorithm where initi...

In order to improve the efficiency of vehicle objective, the paper addresses the problem of multi-depot vehicle routing with time window. An adaptive genetic algorithm based on the artificial bee colony algorithm is developed for the solution process of the multi-depot vehicle routing problem. The new algorithm provides not only with the strong global search capability, but also the strong loca...

Vehicle Routing Problem (VRP) is a key element of many logistic systems which involve routing and scheduling of vehicles from a depot to a set of customers node. This is a combinatorial optimization problem with the objective to find an optimal set of routes used by a fleet of vehicles to serve a set of customers It is required that these vehicles return to the depot after s erving customers’ d...

Vehicle Routing Problem (VRP) is a NP-Complete and a multi-objective problem. The problem involves optimizing a fleet of vehicles that are to serve a number of customers from a central depot. Each vehicle has limited capacity and each customer has a certain demand. Genetic Algorithm (GA) maintains a population of solutions by means of a crossover and mutation operators. We propose new methods f...

The classical vehicle routing problem involves to design a set of routes for a fleet of vehicles based at one central depot that is required to service a number of geographically dispersed customers, while minimizing the total travel distance or the total distribution cost. Each route originates and terminates at the central depot and customers’ demand are known. In many practical distribution ...