Decision Support for Packing in Warehouses

  • Gürdal Ertek
  • Kemal Kilic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)


Packing problems deal with loading of a set of items (objects) into a set of boxes (containers) in order to optimize a performance criterion under various constraints. With the advance of RFID technologies and investments in IT infrastructures companies now have access to the necessary data that can be utilized in cost reduction of packing processes. Therefore bin packing and container loading problems are becoming more popular in recent years. In this research we propose a beam search algorithm to solve a packing problem that we encountered in a real world project. The 3D-MBSBPP (Multiple Bin Sized Bin Packing Problem) that we present and solve has not been analyzed in literature before, to the best of our knowledge. We present the performance of our proposed beam search algorithm in terms of both cost and computational time in comparison to a greedy algorithm and a tree search enumeration algorithm.


Decision Support System Greedy Algorithm Tree Search Packing Problem Order Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gürdal Ertek
    • 1
  • Kemal Kilic
    • 1
  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityOrhanli, Tuzla, IstanbulTurkey

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