Haddad, YousefSalonitis, KonstantinosEmmanouilidis, Christos2021-11-082021-11-082021-11-03Haddad Y, Salonitis K, Emmanouilidis C. (2021) A decision-making framework for the design of local production networks under largescale disruptions. Procedia Manufacturing, Volume 55, 2021, pp. 393-4002351-9789https://doi.org/10.1016/j.promfg.2021.10.054https://dspace.lib.cranfield.ac.uk/handle/1826/17248In this paper, a model-based decision-making framework for the design of localized networked production systems under largescale disruptions is developed. The framework consists of optimization and agent-based simulation models that run successively in an iterative manner, gradually improving the performance of the perceived system. The framework integrates uncertainty, provides decisions at different decision-making levels and embeds an algorithm that allows for communication between demand nodes and production sites once inventory shortages occur. The framework has been applied on a case study for the design of localized production and distribution networks, powered by additive manufacturing (AM), in South East England during the early stages of the COVID-19 pandemic outbreak. Results revealed that implementing the framework indeed results in performance improvements to AM-powered production networks, particularly with regards to inventory shortages and lead time.enAttribution-NonCommercial-NoDerivatives 4.0 Internationallocalized productionadditive manufacturingagent-based modellingArticle