This paper presents an innovative solution to enhance the decision-making process for the feasibility analysis of an industrial plant using the Strategic Engineering paradigm. The research highlights the potential of this paradigm to model and simulate the interconnections between economic, social, and engineering fields, thereby supporting decision makers. The project utilized Modeling & Simulation, Artificial Intelligence, and Data Analytics to understand the complex scenario of constructing an industrial plant for essential medicines in the post-conflict territory of Iraqi Kurdistan. The study aims to demonstrate the effectiveness of Strategic Engineering in conducting a cost-benefit analysis for a new industrial site in a non-ordinary context. This research opens the field for future studies and implementations using hybrid simulation methodologies for decisionmakers' courses of action.

Modeling & Simulation for an Investigation Process to support Decision Making in a Non-Ordinary Context

Bruzzone A.;Ferraris G. M.;Giovannetti A.;Gotelli M.
2024-01-01

Abstract

This paper presents an innovative solution to enhance the decision-making process for the feasibility analysis of an industrial plant using the Strategic Engineering paradigm. The research highlights the potential of this paradigm to model and simulate the interconnections between economic, social, and engineering fields, thereby supporting decision makers. The project utilized Modeling & Simulation, Artificial Intelligence, and Data Analytics to understand the complex scenario of constructing an industrial plant for essential medicines in the post-conflict territory of Iraqi Kurdistan. The study aims to demonstrate the effectiveness of Strategic Engineering in conducting a cost-benefit analysis for a new industrial site in a non-ordinary context. This research opens the field for future studies and implementations using hybrid simulation methodologies for decisionmakers' courses of action.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1231155
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