Abstract
The problem of counterfeiting is of particular concern in the Department of Defense (DoD) supply chain, where it may lead to lack of assurance of reliability of complex systems, and it may endanger operational performance and safety. In this paper, we present a computational approach to studying complex socio-technical systems relevant to the analysis of the effects of counterfeit parts in the military supply chain. We illustrate our technique with the case study of Magellan GPS 315. Using the Stochastic Pi Machine (SPiM), we build a stochastic agent-based computational model to study the effects of counterfeit components in the performance of a complex multi-component system. We discuss the combinatorial complexity of the agent-based model. We implement a visualization of the system. Finally, statistical tests are performed to analyze the difference in multi-component systems' performance relative to the proportions verified and counterfeit components. We believe that computational models like this can contribute to identifying counterfeiting and studying its effects in the military supply chain.
| Original language | English |
|---|---|
| Pages (from-to) | 360-367 |
| Number of pages | 8 |
| Journal | Simulation Series |
| Volume | 46 |
| Issue number | 10 |
| State | Published - 2014 |
| Event | Summer Computer Simulation Conference, SCSC 2014, Part of the 2014 Summer Simulation Multiconference, SummerSim 2014 - Monterey, United States Duration: 6 Jul 2014 → 10 Jul 2014 |
Keywords
- Complex Systems
- Computational Modeling
- Counterfeiting
- Socio-Technical Systems
- Stochastic Pi-Calculus