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Space Module On-Board Stowage Optimization by Exploiting Empty Container Volumes

In: Modeling and Optimization in Space Engineering

Author

Listed:
  • Giorgio Fasano

    (Thales Alenia Space Italia S.p.A.)

  • Maria Chiara Vola

    (Altran Italia S.p.A.)

Abstract

This chapter discusses a research activity recently carried out by Thales Alenia Space, to support International Space Station (ISS) logistics. We investigate the issue of adding a number of virtual items (i.e. items not given a priori) inside partially loaded containers, in order to exploit the volume still available on board as much as possible. Items already accommodated are supposed to be tetris-like, while the additional virtual items are assumed to be parallelepipeds. A mixed-integer non-linear programming (MINLP) model is introduced first, then possible linear (MILP) approximations are discussed, and a corresponding heuristic solution approach is proposed. Guidelines for future research are highlighted, and experimental insights are provided to show the efficiency of the proposed approach.

Suggested Citation

  • Giorgio Fasano & Maria Chiara Vola, 2012. "Space Module On-Board Stowage Optimization by Exploiting Empty Container Volumes," Springer Optimization and Its Applications, in: Giorgio Fasano & János D. Pintér (ed.), Modeling and Optimization in Space Engineering, edition 127, chapter 0, pages 249-269, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-4469-5_11
    DOI: 10.1007/978-1-4614-4469-5_11
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