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The assignment and loading transportation problem

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  • Homsi, Gabriel
  • Jordan, Jeremy
  • Martello, Silvano
  • Monaci, Michele

Abstract

We consider a generalization of the multiple knapsack problem that combines assignment and loading. The problem can arise in military and emergency situations in which one is required to refurnish a unit with a number of different goods available at different locations. We present a mathematical model and study Lagrangian and surrogate relaxations. We propose heuristic and metaheuristic approaches which we use to develop two overall approximation algorithms: a self-contained polynomial-time heuristic and a more time consuming matheuristic approach that makes use of a MILP solver. Solution times and accuracy of lower and upper bounds are computationally evaluated on a real military data set and on sets of both realistic and randomly generated instances.

Suggested Citation

  • Homsi, Gabriel & Jordan, Jeremy & Martello, Silvano & Monaci, Michele, 2021. "The assignment and loading transportation problem," European Journal of Operational Research, Elsevier, vol. 289(3), pages 999-1007.
    • Handle: RePEc:eee:ejores:v:289:y:2021:i:3:p:999-1007
    DOI: 10.1016/j.ejor.2019.07.039
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    References listed on IDEAS

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    1. Simon, Jay & Apte, Aruna & Regnier, Eva, 2017. "An application of the multiple knapsack problem: The self-sufficient marine," European Journal of Operational Research, Elsevier, vol. 256(3), pages 868-876.
    2. Diaz, Juan Esteban & Handl, Julia & Xu, Dong-Ling, 2018. "Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system," European Journal of Operational Research, Elsevier, vol. 266(3), pages 976-989.
    3. Zhen, Lu & Wang, Kai & Wang, Shuaian & Qu, Xiaobo, 2018. "Tug scheduling for hinterland barge transport: A branch-and-price approach," European Journal of Operational Research, Elsevier, vol. 265(1), pages 119-132.
    4. Gralla, Erica & Goentzel, Jarrod, 2018. "Humanitarian transportation planning: Evaluation of practice-based heuristics and recommendations for improvement," European Journal of Operational Research, Elsevier, vol. 269(2), pages 436-450.
    5. Geir Dahl & Njål Foldnes, 2006. "LP based heuristics for the multiple knapsack problem with assignment restrictions," Annals of Operations Research, Springer, vol. 146(1), pages 91-104, September.
    6. Dimitrov, Nedialko B. & Solow, Daniel & Szmerekovsky, Joseph & Guo, Jia, 2017. "Emergency relocation of items using single trips: Special cases of the Multiple Knapsack Assignment Problem," European Journal of Operational Research, Elsevier, vol. 258(3), pages 938-942.
    7. de la Torre, Luis E. & Dolinskaya, Irina S. & Smilowitz, Karen R., 2012. "Disaster relief routing: Integrating research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 88-97.
    8. M. Dawande & J. Kalagnanam & P. Keskinocak & F.S. Salman & R. Ravi, 2000. "Approximation Algorithms for the Multiple Knapsack Problem with Assignment Restrictions," Journal of Combinatorial Optimization, Springer, vol. 4(2), pages 171-186, June.
    9. Kataoka, Seiji & Yamada, Takeo, 2014. "Upper and lower bounding procedures for the multiple knapsack assignment problem," European Journal of Operational Research, Elsevier, vol. 237(2), pages 440-447.
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