Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4854
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gustaf Solveling, John Verbanick | - |
dc.date.accessioned | 2023-05-05T02:49:27Z | - |
dc.date.available | 2023-05-05T02:49:27Z | - |
dc.date.issued | 2023-05-01 | - |
dc.identifier.citation | APA | en_US |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/4854 | - |
dc.description | Proceedings Paper | en_US |
dc.description.abstract | Understanding the interplay between the reliability and maintainability of a fleet of complex systems, the logistics support organization, and the operational scenario, is vital from a short-term tactical perspective, as well as a strategic long-term Life Cycle Cost (LCC) perspective, as each of these areas has a direct impact on one another. A common method to analyze and evaluate the performance of the overall scenario, as well as getting insights into problem areas, bottlenecks and to perform analysis-of-alternatives is to use discrete event simulation. In this paper we present a methodology to extend a discrete event simulation tool with inherent optimization capabilities. Using established heuristic optimization techniques, we perform simulation driven optimization that optimizes parameters in the modeled scenario. Optimized parameters typically include: • sparing strategies such as inventory levels and locations • resource quantities and location • deployed system quantities to fulfill mission requirements • scheduled maintenance times. • transportation and resource schedules. A case study is presented that utilizes Opus Evo, an application that extends the commercial off the shelf Opus Suite with capability to perform heuristic optimization using simulation. | en_US |
dc.description.sponsorship | Acquisition Research Program | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Acquisition Research Program | en_US |
dc.relation.ispartofseries | Acquisition Management;SYM-AM-23-086 | - |
dc.subject | Heuristic Optimization | en_US |
dc.subject | Tactical Logistic Planning | en_US |
dc.title | Optimizing Operations and Logistics Support Using Opus Evo | en_US |
dc.type | Technical Report | en_US |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SYM-AM-23-086.pdf | 458.57 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.