Abstract
This extended abstract shows an overview of the development of a model-driven decision support system (DSS) to ensure efficient management of workload priorities in organizations. The DSS has been built through discrete-event simulation (DES) using guidelines dictated by Beer’s Viable System Model (VSM). The prioritization policy considers four key factors: customer importance, nature of task, value of task and window of opportunity. They can be appropriately combined by the use of the DSS according to the set of indicators defined by the organization.
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Puche-Regaliza, J.C., Costas, J., Ponte, B., Pino, R., de la Fuente, D. (2021). Priority Management in a Cybernetic Organization: A Simulation-Based Support Tool. In: Arabnia, H.R., Ferens, K., de la Fuente, D., Kozerenko, E.B., Olivas Varela, J.A., Tinetti, F.G. (eds) Advances in Artificial Intelligence and Applied Cognitive Computing. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70296-0_74
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DOI: https://doi.org/10.1007/978-3-030-70296-0_74
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