Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4914
Title: | Optimizing Operations and Logistics Support Using Opus Evo |
Authors: | Gustaf Solveling, John Verbanick |
Keywords: | Heuristic Optimization Tactical Logistic Planning |
Issue Date: | 1-May-2023 |
Publisher: | Acquisition Research Program |
Citation: | APA |
Series/Report no.: | Acquisition Management;SYM-AM-23-147 |
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. |
Description: | SYM Presentation |
URI: | https://dair.nps.edu/handle/123456789/4914 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Description | Size | Format | |
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SYM-AM-23-147.pdf | 4.9 MB | Adobe PDF | View/Open |
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