The task allocation problem with pickup and delivery is an extension of the widely studied multi-robot task allocation (MRTA) problem which, in general, considers each task as a single location to visit. Within the robotics domain distributed auctions are a popular method for task allocation [4]. In this work, we consider a team of autonomous mobile robots making deliveries in an officelike env...

In this paper, we investigate in the applicability of the Contract Net Protocol negotiation (CNP) in the field of the dynamic transportation. We address the optimization of the Dynamic Pickup and Delivery Problem with Time Windows also called DPDPTW. This problem is a variant of the Vehicle Routing Problem (VRP) that may be described as the problem of finding the least possible dispatching cost...

Pickup and delivery problems with time windows (PDPTW) are challenging yet realistic scheduling problems in which each delivery vehicle is assigned to handle different pairs of pickup-anddelivery requests. Our previous work successfully adapted the push forward insertion heuristic (PFIH) for initialization, and proposed a new swap operator to effectively solve PDP-TWs. In this paper, we improve...

In this work, the capacitated location-routing problem with simultaneous pickup and delivery (CLRP-SPD) is considered. This problem is a more realistic case of the capacitated location-routing problem (CLRP) and belongs to the reverse logistics of the supply chain. The problem has many real-life applications of which some have been addressed in the literature such as management of liquid petrol...

A courier company approached NICTA to help develop a decision support tool for managing their daily pickup and delivery problem. They take orders from customers throughout the day and have to allocate one of the vehicles of their fleet to best meet the demand. This decision takes into account a number of hard (e.g. a vehicle must have capacity available for a parcel to be transported, a parcel ...

Cross docking is a logistics strategy that strives to reduce inventory holding costs, shipping costs, and delays in delivering the products. In this research, an optimization model is presented for split loading and unloading products by suppliers and customers, vehicle routing with fuzzy possibilistic time window constraints among them, assignment of vehicles to cross dock, consolidation and i...