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Self-adapting WIP parameter setting using deep reinforcement learning

Silva, Manuel Tomé de Andrade e; Azevedo, Américo - In: Computers & operations research : and their … 144 (2022), pp. 1-14

Persistent link: https://www.econbiz.de/10013264878

Sustainability as a driver of operational excellence : the relevance of variability in process operations

Silva, Daniela; Azevedo, Américo - In: International journal of integrated supply management : … 13 (2020) 2/3, pp. 210-233

Persistent link: https://www.econbiz.de/10012252688

Hospital centre performance dimensions and internal stakeholder valuation : a case study

Simões, Ana; Azevedo, Américo; Gonçalves, Suzete - In: The international journal of productivity and … 66 (2017) 8, pp. 983-1001

Persistent link: https://www.econbiz.de/10011814356

Hybrid modelling of MTO/ETO manufacturing environments for performance assessment

Barbosa, Cátia; Azevedo, Américo - In: International journal of production research 56 (2018) 15, pp. 5147-5171

Persistent link: https://www.econbiz.de/10011930768

Assessing the impact of performance determinants in complex MTO/ETO supply chains through an extended hybrid modelling approach

Barbosa, Cátia; Azevedo, Américo - In: International journal of production research 57 (2019) 11, pp. 3577-3597

Persistent link: https://www.econbiz.de/10012193309

Hospital centre performance dimensions and internal stakeholder valuation: a case study

Simões, Ana; Azevedo, Américo; Gonçalves, Suzete - In: International Journal of Productivity and Performance … 66 (2017) 8, pp. 983-1001

Purpose Hospital centres (HCs) are the result of a horizontal integration of two or more hospital units. The benefits of this integration have been presented in the literature. The purpose of this paper is to define the hospital performance dimensions most valued by HC internal stakeholders, and...

Persistent link: https://www.econbiz.de/10014798308