Search results for "vehicle routing"

showing 10 items of 82 documents

Effective Handling of Dynamic Time Windows and Its Application to Solving the Dial-a-Ride Problem

2015

A dynamic time window relates to two operations that must be executed within a given time meaning that the difference between the points in time when the two operations are performed is bounded from above. The most prevalent context of dynamic time windows is when precedence is given for the two operations so that it is a priori specified that one operation must take place before the other. A prominent vehicle routing problem with dynamic time windows and precedence is the dial-a-ride problem (DARP), where user-specified transportation requests from origin to destination points must be serviced. The paper presents a new branch-and-cut-and-price solution approach for the DARP, the prototypi…

Dynamic programmingMathematical optimizationComputer scienceComputationBranch and priceBounded functionVehicle routing problemA priori and a posterioriTransportationContext (language use)Column generationCivil and Structural EngineeringTransportation Science
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RutaRep: a computer package to design dispatching routes in the meat industry

2005

In this paper we present a computer program that has been developed to design the dispatching routes of a medium-sized meat company in Spain. We have modelled the real problem as a variant of the vehicle routing problem with Time Windows and implemented a number of heuristic algorithms based on the most advanced solution techniques for this problem. These algorithms have been embedded in a computer package that is intended to be used as a decision support system for the distribution manager. The program runs under Windows System and is straightforward to use. We also present some computational experiences based on real instances provided by the company. This experience shows important impro…

EngineeringDecision support systemOperations researchMeat packing industryComputer programbusiness.industryHeuristic (computer science)Vehicle routing problemRouting (electronic design automation)HeuristicsbusinessTabu searchFood ScienceJournal of Food Engineering
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An Effective Multirestart Deterministic Annealing Metaheuristic for the Fleet Size and Mix Vehicle-Routing Problem with Time Windows

2008

This paper presents a new deterministic annealing metaheuristic for the fleet size and mix vehicle-routing problem with time windows. The objective is to service, at minimal total cost, a set of customers within their time windows by a heterogeneous capacitated vehicle fleet. First, we motivate and define the problem. We then give a mathematical formulation of the most studied variant in the literature in the form of a mixed-integer linear program. We also suggest an industrially relevant, alternative definition that leads to a linear mixed-integer formulation. The suggested metaheuristic solution method solves both problem variants and comprises three phases. In Phase 1, high-quality init…

EngineeringMathematical optimizationLinear programmingbusiness.industryHeuristic (computer science)TransportationHeterogeneous fleetVehicle routingFleet dimensioningSet (abstract data type)Vehicle routing problemBenchmark (computing)Local search (optimization)businessTime windowsMetaheuristicInteger programmingNeighborhood searchCivil and Structural EngineeringTransportation Science
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Synchronization in Vehicle Routing—A Survey of VRPs with Multiple Synchronization Constraints

2012

This paper presents a survey of vehicle routing problems with multiple synchronization constraints. These problems exhibit, in addition to the usual task covering constraints, further synchronization requirements between the vehicles, concerning spatial, temporal, and load aspects. They constitute an emerging field in vehicle routing research and are becoming a “hot” topic. The contribution of the paper is threefold: (i) It presents a classification of different types of synchronization. (ii) It discusses the central issues related to the exact and heuristic solution of such problems. (iii) It comprehensively reviews pertinent literature with respect to applications as well as successful s…

Engineeringbusiness.industryHeuristic (computer science)Distributed computingReal-time computingTransportationField (computer science)Task (project management)TransshipmentVehicle routing problemSynchronization (computer science)In vehicleRouting (electronic design automation)businessCivil and Structural EngineeringTransportation Science
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Joint route planning under varying market conditions

2007

PurposeTo provide empirical evidence on the level of savings that can be attained by joint route planning and how these savings depend on specific market characteristics.Design/methodology/approachJoint route planning is a measure that companies can take to decrease the costs of their distribution activities. Essentially, this can either be achieved through horizontal cooperation or through outsourcing distribution to a logistics service provider. The synergy value is defined as the difference between distribution costs in the original situation where all entities perform their orders individually, and the costs of a system where all orders are collected and route schemes are set up simulta…

ExploitOperations researchbusiness.industryComputer scienceDistribution management/dk/atira/pure/sustainabledevelopmentgoals/partnershipsHorizontal cooperation;Distribution;Outsourcing;Vehicle routing with time windows;RetailDistribution management systemjel:L92TransportationHorizontal cooperation; Distribution; Outsourcing; Vehicle routing with time windows; RetailService providerOutsourcingOutsourcingEconomies of scaleSDG 17 - Partnerships for the GoalsManagement of Technology and InnovationBenchmark (surveying)Value (economics)jel:R41businessEmpirical evidence
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Joint Route Planning under Varying Market Conditions

2006

Purpose - To provide empirical evidence on the level of savings that can be attained by joint route planning and how these savings depend on specific market characteristics.Design/methodology/approach - Joint route planning is a measure that companies can take to decrease the costs of their distribution activities. Essentially, this can either be achieved through horizontal cooperation or through outsourcing distribution to a Logistics Service Provider. The synergy value is defined as the difference between distribution costs in the original situation where all entities perform their orders individually, and the costs of a system where all orders are collected and route schemes are set up s…

ExploitOperations researchbusiness.industrymedia_common.quotation_subjectService providerOutsourcingEconomies of scaleOriginalityVehicle routing problemOperations managementbusinessRoute planningEmpirical evidencemedia_commonSSRN Electronic Journal
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Exact algorithms for the multi-compartment vehicle routing problem with flexible compartment sizes

2021

Abstract The multi-compartment vehicle routing problem with flexible compartment sizes is a variant of the classical vehicle routing problem in which customers demand different product types and the vehicle capacity can be separated into different compartments each dedicated to a specific product type. The size of each compartment is not fixed beforehand but the number of compartments is limited. We consider two variants for dividing the vehicle capacity: On the one hand the vehicle capacity can be discretely divided into compartments and on the other hand compartment sizes can be divided continuously. The objective is to minimize the total distance of all vehicle routes such that all custo…

Information Systems and ManagementGeneral Computer ScienceComputer scienceModeling and SimulationVehicle routing problemManagement Science and Operations ResearchRouting (electronic design automation)Compartment (pharmacokinetics)AlgorithmIndustrial and Manufacturing EngineeringEuropean Journal of Operational Research
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A Simple Metaheuristic for the FleetSize and Mix Problem with TimeWindows

2017

This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Vehicle Routing Problem with Time Windows. The key idea of the new metaheuristic is to perform a random number of random-sized jumps in random order through four well-known local search operators. Computational testing on the 600 large-scale benchmarks of Bräysy et al. (Expert Syst Appl 36(4):8460–8475, 2009) show that the new metaheuristic outperforms previous best approaches, finding 533 new best-known solutions. Despite the significant number of random components, it is demonstrated that the variance of the results is rather low. Moreover, the suggested metaheuristic is shown to scale almost…

Mathematical optimizationComputer scienceSimple (abstract algebra)business.industryVehicle routing problemKey (cryptography)Scale (descriptive set theory)Local search (optimization)Variance (accounting)businessMetaheuristicParallel metaheuristic
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A powerful route minimization heuristic for the vehicle routing problem with time windows

2009

We suggest an efficient route minimization heuristic for the vehicle routing problem with time windows. The heuristic is based on the ejection pool, powerful insertion and guided local search strategies. Experimental results on the Gehring and Homberger's benchmarks demonstrate that our algorithm outperforms previous approaches and found 18 new best-known solutions.

Mathematical optimizationComputer scienceTime windowsApplied MathematicsVehicle routing problemGuided Local SearchMinificationManagement Science and Operations ResearchHeuristicsAlgorithmIndustrial and Manufacturing EngineeringSoftwareOperations Research Letters
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Vehicle Routing Problem with Time Windows, Part II: Metaheuristics

2005

This paper surveys the research on the metaheuristics for the Vehicle Routing Problem with Time Windows (VRPTW). The VRPTW can be described as the problem of designing least cost routes from one depot to a set of geographically scattered points. The routes must be designed in such a way that each point is visited only once by exactly one vehicle within a given time interval; all routes start and end at the depot, and the total demands of all points on one particular route must not exceed the capacity of the vehicle. Metaheuristics are general solution procedures that explore the solution space to identify good solutions and often embed some of the standard route construction and improvemen…

Mathematical optimizationComputer scienceVehicle routing problemGenetic algorithmBenchmark (computing)TransportationInterval (mathematics)Routing (electronic design automation)HeuristicsMetaheuristicTabu searchCivil and Structural EngineeringTransportation Science
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