Modern enterprises aim to achieve their business goals while operating in a competitive and dynamic environment. This requires that these enterprises need be efficient, adaptive and amenable for continuous transformation. However, identifying effective control measures, adaptation choices and transformation options for a specific enterprise goal is often both a challenging and expensive task for most of the complex enterprises. The construction of a high-fidelity digital-twin to evaluate the efficacy of a range of control measures, adaptation choices and transformation options is considered to be a cost effective approach for engineering disciplines. This paper presents a novel approach to analogously utilise the concept of digital twin in controlling and adapting large complex business enterprises, and demonstrates its efficacy using a set of adaptation scenarios of a large university.
|Title of host publication||Proceedings of the 2019 Winter Simulation Conference|
|Number of pages||15|
|Publication status||Published - 11 Dec 2019|
|Event||Winter Simulation Conference 2019 - National Harbor, United States|
Duration: 8 Dec 2019 → 11 Dec 2019
|ISSN (Electronic)||0891 7736|
|Conference||Winter Simulation Conference 2019|
|Period||8/12/19 → 11/12/19|
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Barat, S., Kulkarni, V., Clark, T., & Barn, B. S. (2019). An actor based simulation driven digital twin for analyzing complex business systems. In Proceedings of the 2019 Winter Simulation Conference IEEE. https://doi.org/10.1109/WSC40007.2019.9004694