A Mixed Integer Linear Programming Model for Traffic Logistics Management at the International Space Station
Giorgio Fasano ()
Additional contact information
Giorgio Fasano: Thales Alenia Space Italia S.p.A.
Chapter Chapter 9 in Modeling and Optimization in Space Engineering, 2012, pp 215-233 from Springer
Abstract:
Abstract The operations of the International Space Station (ISS) pose many challenging issues, including logistics. The on orbit stay of the ISS is to be significantly extended in the near future: there will be an increased experimental activity in microgravity, giving rise to a renewed interest also in the related optimization aspects. A permanent logistic support is necessary to guarantee key ISS operations, as well as the scientific activities performed on-board. A traffic model, based on a mixed integer linear programming (MIP) approach, has been adopted to carry out the requested logistic planes. This chapter discusses the MIP model and provides insights concerning its application context.
Keywords: International Space Station (ISS); Logistic support; European automated transfer vehicle (ATV); Traffic model; On-board resource resupply; Mixed integer linear programming (MIP) based modeling approach (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4614-4469-5_9
Ordering information: This item can be ordered from
http://www.springer.com/9781461444695
DOI: 10.1007/978-1-4614-4469-5_9
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().