Abstract
Transportation management is a logistical activity with a high impact on a company’s ability to compete in the market. Although the focus on cost reduction is the most usual concern with this activity, lead times and the quality of the service provided should also be considered depending on the market to be served. The goal of this research was to compare different fleet alternatives for a specific construction materials company and discuss which scenario is the most suited to fulfil the company’s customer service policy. A case study approach was developed, and four alternative scenarios were considered. These were compared both regarding the costs they involve, which was analysed using a vehicle routing problem heuristic, and the quality of the customer service they allow, which was assessed based on their ability to provide flexibility in the fleet occupancy rate to respond to unexpected orders. Evidence showed that the current fleet solution is not adequate and investment should be made only if the demand level increases, otherwise outsourcing should be considered along with a minimum level of the self-owned fleet.
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References
CSCMP (2014). http://cscmp.org/. Accessed 23 Jan 2014
Porter, M.: Competitive Advantage. The Free Press, New York (1985)
Poist, R.F.: Evolution of conceptual approaches to designing business logistics systems. Transp. J. 26(1), 55–64 (1986)
Christopher, M.: Logistics and Supply Chain Management – Creating Value Adding Networks, 4th edn. Financial Times – Prentice Hall, Upper Saddle River (2011)
Rushton, A., Croucher, P., Baker, P.: The Handbook of Logistics and Distribution Management, 4th edn. Kogan Page Limited, London (2010)
Pitt, B., Reiss, M., Hirsch, S.: Private fleet management: from necessary evil to strategic asset. Logistics Management, November 2011
List, G.F., et al.: Robust optimization for fleet planning under uncertainty. Transp. Res. Part E 39, 209–227 (2003)
Lee, Y.H., Kim, J.I., Kang, K.H., Kim, K.H.: A heuristic for vehicle fleet mix problem using tabu search and set partitioning. J. Oper. Res. Soc. 59, 833–841 (2008)
Potvin, J.Y., Naud, M.A.: Tabu search with ejection chains for the vehicle routing problem with private fleet and common carrier. J. Oper. Res. Soc. 62, 326–336 (2011)
Dondo, R., Cerdá, J.: A cluster-based optimization approach for the multi-depot heterogeneous fleet vehicle routing problem with time windows. Eur. J. Oper. Res. 176, 1478–1507 (2007)
Braysy, O., Dullaert, W., Hasle, G., Mester, D.: An effective multirestart deterministic annealing metaheuristic for the fleet size and mix vehicle-routing problem with time windows. Transp. Sci. 42(3), 371–386 (2008)
Hritonenko, N., Yatsenko, Y.: Fleet replacement under technological shocks. Ann. Oper. Res. 196, 311–331 (2012)
Yin, R.: Case Study Research. Sage, Thousand Oaks (2009)
Christopher, M., Peck, H.: Marketing Logistics. Butterworth-Heinemann, Oxford (2003)
Bowersox, D.J., Closs, D.J., Cooper, M.B.: Supply Chain Logistics Management, 3rd edn. McGraw-Hill, New York (2010)
Ballou, R.: Business Logistics/Supply Chain Management. Pearson Prentice Hall, New Jersey (2004)
Toth, P., Vigo, D.: The Vehicle Routing Problem. SIAM Monographs on Discrete Mathematics and Applications. Society for Industrial and Applied Mathematics, Philadelphia (2002)
Golden, B., Raghavan, S., Wasil, E.: The Vehicle Routing Problem. Springer, Heidelberg (2008). https://doi.org/10.1007/978-0-387-77778-8
Dantzig, G.B., Ramser, J.H.: The truck dispatching problem. Manag. Sci. 6, 80–91 (1959)
Groer, C.: Parallel and serial algorithms for vehicle routing problems. Ph.D. thesis, University of Maryland, USA (2008)
Groer, C., Golden, B., Wasil, E.: A library for local search heuristics for vehicle routing problem. Math. Program. Comput. 2, 79–101 (2010)
Clarke, G., Wright, J.R.: Scheduling of vehicle routing problem from a central depot to a number of delivery points. Oper. Res. 12, 568–581 (1964). https://doi.org/10.1287/opre.12.4.568
Huang, S.-H., Yang, T.-H., Tang, C.-H.: Fleet size determination for a truckload distribution center. J. Adv. Transp. 48, 377–389 (2014)
Hassold, S., Ceder, A.: Public transport vehicle scheduling featuring multiple vehicle types. Transp. Res. Part B 67, 129–143 (2014)
Laporte, G.: The vehicle-routing problem – an overview of exact and approximate algorithms. Eur. J. Oper. Res. 59(3), 345–358 (1992)
Coase, R.: The nature of the firm. Economica 4(16), 386–405 (1937)
Hall, R.W., Racer, M.: Transportation with common carrier and private fleets – system assignment and shipment frequency optimization. IIE Trans. 27(2), 217–225 (1995)
Groer, C.: VRPH software (2010). http://sitesGoogle.com/sites/vrphlibrary
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This work is supported by National Funding from FCT - Fundação para a Ciência e a Tecnologia, under the project: UID/MAT/04561/2019.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Martins, A.L., Nunes, A.C., Pereira, R., Ferreira, J.C. (2019). Improving Fleet Solution – A Case Study. In: Ferreira, J., Martins, A., Monteiro, V. (eds) Intelligent Transport Systems, From Research and Development to the Market Uptake. INTSYS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-030-14757-0_4
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DOI: https://doi.org/10.1007/978-3-030-14757-0_4
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