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A multiple objective goal programming approach to the truckload routing problem

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  • V M Miori

    (St. Joseph's University)

Abstract

Truckload (TL) routing has always been a challenge. The TL routing problem (TRP) itself is hard, but the complexity of solving the problem increases due to the stochastic nature of TL demand. It is traditionally approached using single objective solution methodologies that range from linear programming to dynamic programming techniques. This paper presents a deterministic multiple objective formulation of the TRP. A ‘route algebra’ is developed to facilitate the solution procedure, paving the way for the use of goal programming and tabu search techniques.

Suggested Citation

  • V M Miori, 2011. "A multiple objective goal programming approach to the truckload routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1524-1532, August.
  • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:8:d:10.1057_jors.2010.91
    DOI: 10.1057/jors.2010.91
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    References listed on IDEAS

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    1. A. Charnes & W. W. Cooper & D. Klingman & R. J. Niehaus, 1975. "Explicit Solutions in Convex Goal Programming," Management Science, INFORMS, vol. 22(4), pages 438-448, December.
    2. Sharma, Dinesh K. & Jana, R.K., 2009. "A hybrid genetic algorithm model for transshipment management decisions," International Journal of Production Economics, Elsevier, vol. 122(2), pages 703-713, December.
    3. A Baykasoglu & S Owen & N Gindy, 1999. "Solution of goal programming models using a basic taboo search algorithm," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 960-973, September.
    4. Gronalt, Manfred & Hartl, Richard F. & Reimann, Marc, 2003. "New savings based algorithms for time constrained pickup and delivery of full truckloads," European Journal of Operational Research, Elsevier, vol. 151(3), pages 520-535, December.
    5. Emilio Carrizosa & Dolores Romero-Morales, 2001. "Combining Minsum And Minmax: A Goal Programming Approach," Operations Research, INFORMS, vol. 49(1), pages 169-174, February.
    6. Chu, Ching-Wu, 2005. "A heuristic algorithm for the truckload and less-than-truckload problem," European Journal of Operational Research, Elsevier, vol. 165(3), pages 657-667, September.
    7. Calvete, Herminia I. & Gale, Carmen & Oliveros, Maria-Jose & Sanchez-Valverde, Belen, 2007. "A goal programming approach to vehicle routing problems with soft time windows," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1720-1733, March.
    8. Sundararajan Arunapuram & Kamlesh Mathur & Daniel Solow, 2003. "Vehicle Routing and Scheduling with Full Truckloads," Transportation Science, INFORMS, vol. 37(2), pages 170-182, May.
    9. James S. Dyer, 1972. "Interactive Goal Programming," Management Science, INFORMS, vol. 19(1), pages 62-70, September.
    10. Park, Yang Byung & Koelling, C. Patrick, 1986. "A solution of vehicle routing problems in a multiple objective environment," Engineering Costs and Production Economics, Elsevier, vol. 10(2), pages 121-132, June.
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