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 mixedinteger 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.
CITATION STYLE
Fasano, G., & Vola, M. C. (2013). Space module on-board stowage optimization by exploiting empty container volumes. In Springer Optimization and Its Applications (Vol. 73, pp. 249–269). Springer International Publishing. https://doi.org/10.1007/978-1-4614-4469-5_11
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