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Lessons Learned From Evaluating an Enterprise Modeling Methodology
- Source :
- IEEE Systems Journal. 12:1219-1229
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- Many of the challenges that the society faces today are enterprise problems. Enterprise systems consist of technological, organizational, and social elements where there is no locus of control. Due to the complex nature of enterprise systems, they are particularly difficult to model and analyze in support of policy analysis. There is a need for accessible methods and approaches to aid those tasked with modeling enterprise problems. To that end, we considered an enterprise modeling methodology that emphasizes a layered view of an enterprise system and evaluated it by applying it to a case study on the intrusion of counterfeit parts in a supply chain. We conclude that the utility of the methodology does not lie in making specific predictions as there are many ways to accomplish that. Rather, the methodology shows promise for two applications: First, integrating diverse expert knowledge and data and communicating that to stakeholders and, second, searching for counter-intuitive results or unintended consequences of a policy option.
- Subjects :
- Enterprise systems engineering
021103 operations research
Knowledge management
Computer Networks and Communications
business.industry
Supply chain
020208 electrical & electronic engineering
0211 other engineering and technologies
Enterprise integration
Integrated enterprise modeling
02 engineering and technology
Policy analysis
Enterprise modelling
Computer Science Applications
Counterfeit
Enterprise system
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Information Systems
Subjects
Details
- ISSN :
- 23737816 and 19328184
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- IEEE Systems Journal
- Accession number :
- edsair.doi...........8e908ceba06a9e626ac609e76490bfe8
- Full Text :
- https://doi.org/10.1109/jsyst.2016.2639464