We consider a rich tanker trailer routing problem with stochastic transit times for chemicals and liquid bulk orders. A typical route of the tanker trailer comprises of sourcing a cleaned and prepped trailer from a pre-wash location, pickup and delivery of chemical orders, cleaning the tanker trailer at a post-wash location after order delivery and prepping for the next order. Unlike traditiona...

In this chapter we outline the importance of facility location decisions in supply chain design. We begin with a review of classical models including the traditional fixed charge facility location problem. We then summarize more recent research aimed at expanding the context of facility location decisions to incorporate additional features of a supply chain including LTL vehicle routing, invent...

The Vehicle Routing Problem (VRP) deals with the assignment of a set of transportation orders to a fleet of vehicles, and the sequencing of stops for each vehicle to minimize transportation costs. In this paper we study the Capacitated VRP (CVRP), which is mainly characterized by using vehicles of the same capacity. Taking a basic GA to solve the CVRP, we propose a new problem dependent recombi...

The Vehicle Routing Problem (VRP) is a hard combinatorial problem with numerous industrial applications. Among the large number of extensions to the canonical VRP, we study the Capacitated VRP (CVRP), which is mainly characterized by using vehicles of the same capacity. A cellular Genetic Algorithm (cGA)—a kind of decentralized population based heuristic—is used for solving CVRP, improving seve...

One of the most challenging problems in wireless sensor networks is the design of scalable and efficient routing algorithms without location information. The use of specialized hardware and/or infrastructure support for localization is costly and in many deployment scenarios infeasible. In this study, the wave mapping coordinate (WMC) system to address the localization problem is introduced for...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Mixed-integer linear programming is adopted to translate the routing of service operation vessels that support logistic aspects maintenance offshore floating wind farms into mathematical language. The models attempt help decision-makers by providing quantified tools screen out optimal planning for preventive maintenance. search base location, vessel’s per day, capacity, and vessel fleet composi...

We study the hub location and routing problem where we jointly decide on the location of hubs, the allocation of nodes to hubs, and the routing among the nodes allocated to the same hubs, with the aim of minimizing the total transportation cost. Each hub has one vehicle that visits all the nodes assigned to it on a cycle. We propose a mixed integer programming formulation for this problem and s...

The location of the distribution facilities and the routing of the vehicles from these facilities are interdependent in many distribution systems. Such a concept recognizes the interdependence; attempts to integrate these two decisions have been limited. Multi-objective location-routing problem (MLRP) is combined with the facility location and the vehicle routing decision and satisfied the diff...