Abstract
This paper deals with the problem of designing the logistics support of complex multi-indenture and multi-echelon engineering systems, with the aim of determining the spare parts stock and the maintenance resources capacity, as well as the level of repair. The problem is modeled as an integer program with a nonlinear probabilistic constraint on the expected availability, whose satisfaction can only be evaluated by means of very time-consuming simulation experiments. Thus, we use an optimization via simulation approach, in which the search space is efficiently explored through an approximated neighborhood evaluation mechanism, which makes use of several parameters estimated by means of simulation. Experimental results on a number of instances show the effectiveness of the proposed approach.
Original language | English |
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Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | RAIRO - Operations Research |
Volume | 51 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 1 2017 |
Keywords
- Inventory
- approximated neighborhood evaluation
- level of repair analysis
- logistics support design
- maintenance
- optimizationvia simulation
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science Applications
- Management Science and Operations Research