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Service quality planning for freight distribution with time windows in large networks

Author

Listed:
  • Francesco P. Deflorio

    (DIATI - Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture - Polito - Politecnico di Torino = Polytechnic of Turin)

  • Jesus Gonzalez-Feliu

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Roberto Tadei

    (DAUIN - Department of Computer Engineering - Polito - Politecnico di Torino = Polytechnic of Turin)

  • Simone Amico

Abstract

This paper introduces a methodology whose aim is to evaluate how the quality of a freight distribution service with time windows, which operates on a given road network to satisfy a number of requests, affects the total cost of the distribution service . The result of a service quality setting, expressed as the width of the time windows, has been assessed using a number of indicators, which are a measure of the service operating costs and based on the request compatibility time interval. Each indicator's performance has been evaluated in an experimental context by using as comparison terms the recent published results of a heuristic algorithm suitable also for the CVRPTW problem. The results enable the selection of the suitable indicators to support the service quality planning decisions.

Suggested Citation

  • Francesco P. Deflorio & Jesus Gonzalez-Feliu & Roberto Tadei & Simone Amico, 2009. "Service quality planning for freight distribution with time windows in large networks," Working Papers halshs-01056187, HAL.
    • Handle: RePEc:hal:wpaper:halshs-01056187
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01056187
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    References listed on IDEAS

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    1. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms," Transportation Science, INFORMS, vol. 39(1), pages 104-118, February.
    2. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part II: Metaheuristics," Transportation Science, INFORMS, vol. 39(1), pages 119-139, February.
    3. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    4. Naoki Ando & Eiichi Taniguchi, 2006. "Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows," Networks and Spatial Economics, Springer, vol. 6(3), pages 293-311, September.
    5. A. W. J. Kolen & A. H. G. Rinnooy Kan & H. W. J. M. Trienekens, 1987. "Vehicle Routing with Time Windows," Operations Research, INFORMS, vol. 35(2), pages 266-273, April.
    6. Puckett, Sean M. & Hensher, David A., 2008. "The role of attribute processing strategies in estimating the preferences of road freight stakeholders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 379-395, May.
    7. Laporte, Gilbert, 1992. "The vehicle routing problem: An overview of exact and approximate algorithms," European Journal of Operational Research, Elsevier, vol. 59(3), pages 345-358, June.
    8. Matteo Fischetti & Andrea Lodi & Silvano Martello & Paolo Toth, 2001. "A Polyhedral Approach to Simplified Crew Scheduling and Vehicle Scheduling Problems," Management Science, INFORMS, vol. 47(6), pages 833-850, June.
    9. Homberger, Jorg & Gehring, Hermann, 2005. "A two-phase hybrid metaheuristic for the vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 162(1), pages 220-238, April.
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