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Operator Resource Planning in a Giga Fab during Covid-19 Restrictions
2021 Winter Simulation Conference, WSC 2021 ; 2021-December, 2021.
Article in English | Scopus | ID: covidwho-1746012
ABSTRACT
With the world facing a public health emergency due to the Coronavirus disease (COVID-19) in a global pandemic, this paper provides insight about how a simulation model was used to determine the impact of headcount variability during lockdown on fab performance. To create a robust simulation model, operator loading time was introduced as one of the input parameters. An existing and well validated Discrete Event Fab simulation model was extended with operator modelling, and was used to conduct case studies, evaluating the impact of different operator availability scenarios including work disruptions for several shifts within a week. The studies provide implications for operation to derive mitigation strategies, weighing the trade-off between cost demand and speed loss due to operator resources. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 Winter Simulation Conference, WSC 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 Winter Simulation Conference, WSC 2021 Year: 2021 Document Type: Article