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The generalized bin packing problem

Author

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  • Baldi, Mauro Maria
  • Crainic, Teodor Gabriel
  • Perboli, Guido
  • Tadei, Roberto

Abstract

In the Generalized Bin Packing Problem (GBPP), given two sets of compulsory and non-compulsory items characterized by volume and profit and a set of bins with given volume and cost, we want to select the subset of profitable non-compulsory items to be loaded together with the compulsory ones into the appropriate bins in order to minimize the total net cost. Lower and upper bounds to the GBPP are given. The results of extensive computational experiments show that the proposed procedures are efficient and the bounds are tight.

Suggested Citation

  • Baldi, Mauro Maria & Crainic, Teodor Gabriel & Perboli, Guido & Tadei, Roberto, 2012. "The generalized bin packing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1205-1220.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:6:p:1205-1220
    DOI: 10.1016/j.tre.2012.06.005
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    References listed on IDEAS

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    1. Crainic, Teodor Gabriel & Perboli, Guido & Pezzuto, Miriam & Tadei, Roberto, 2007. "Computing the asymptotic worst-case of bin packing lower bounds," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1295-1303, December.
    2. Shintani, Koichi & Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2007. "The container shipping network design problem with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 39-59, January.
    3. Kang, Jangha & Park, Sungsoo, 2003. "Algorithms for the variable sized bin packing problem," European Journal of Operational Research, Elsevier, vol. 147(2), pages 365-372, June.
    4. Alves, Claudio & Valerio de Carvalho, J.M., 2007. "Accelerating column generation for variable sized bin-packing problems," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1333-1352, December.
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