Models and Solutions for Truck and Trailer Routing Problems: An Overview

نویسندگان

  • Isis Torres Pérez
  • José L. Verdegay
  • Carlos Cruz Corona
  • Alejandro Rosete
چکیده

This paper is a survey about of the Truck and Trailer Routing Problem. The Truck and Trailer Routing Problem is an extension of the well-known Vehicle Routing Problem. Defined recently, this problem consists in designing the optimal set of routes for fleet of vehicles (trucks and trailers) in order to serve a given set of geographically dispersed customers. Since TTRP itself is a very difficult combinatorial optimization problem are usually tackled by metaheuristics. The interest in Truck and Trailer Routing Problem is motivated by its practical relevance as well as by its considerable difficulty. The goal of this paper is to show a study on the TTRP and the metaheuristics used for to solve it. DOI: 10.4018/jamc.2013040103 32 International Journal of Applied Metaheuristic Computing, 4(2), 31-43, April-June 2013 Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. the standard Vehicle Routing Problem (VRP) is the classical problem formulation. The term VRP is a generic name given to a whole class of problems where it is needed to design a set of routes. There exists a wide variety of VRPs and a broad literature on this class of problems. Recently has been defined the Truck and Trailer Routing Problem (TTRP) that consist in the use of trailers; a commonly neglected feature in the VRP. The TTRP is a combinatorial optimization problem and is computationally more difficult to solve compared with the VRP. In the literature the use of trailers in vehicle routing problems has so far received little attention, even though it has a high practical application. The beginning TTRP is guided by the fact that the specific requirements of real life should be added in the classical model. It is necessary a model able to represent the additional features that exist in many practical applications. For example, the use of different types of vehicles or restrictions on access by customers, etc. In the standard TTRP, a set of customers with known demand is serviced by a fleet of vehicles with known capacity. Vehicles can be a truck pulling a trailer called complete vehicle or a vehicle without a trailer called pure truck. The use of truck alone is due to practical constraints such as government regulations, limited maneuvering space at customer site, road condition, etc. The TTRP considers two forms of customer types: a customer who is accessible with or without a trailer is called a vehicle customer (VC) and one who is only accessible without a trailer is called truck customer (TC). The access to a TC implied leaves the trailer in a parking place, called the root of sub-tour. There are three types of routes in a TTRP solution. The Figure 1 shows the three types of routes in a TTRP solution. These types of routes originating from and terminating at a central depot and they are limited by capacity of vehicle used. The types of routes are: • Complete Vehicle Route (CVR): Consisting of a main tour performed by a complete vehicle visiting strictly VCs and at least one sub-tour in which the trailer is detached at a vehicle customer location, to visit (with the truck alone) TCs and VCs. A sub-tour starts and ends at the parking place where the trailer was de-coupled. • PureTruck Route (PTR): Is a route performed by a truck without trailer are visited Figure 1. Routes types in the TTRP (Adapted from Lin, Yu, and Chou, (2009)) 11 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/models-solutions-truck-trailerrouting/77637?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Computer Science, Security, and Information Technology. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2

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عنوان ژورنال:
  • Int. J. of Applied Metaheuristic Computing

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2013