The Allocation of Maintenance Workforce in a Dynamic Human-Automation Interaction System

Autor:	Lucio Marongiu, Maria Elena Nenni, Claudio Sterle, Antonio Sforza
Přispěvatelé:	Nenni, M.E., Marongiu, L., Sterle, C., Sforza, A., Nenni, M. E., Marongiu, L., Sterle, C., Sforza, A.
Rok vydání:	2019
Předmět:	Work organization Process management Triangulation (geometry) Computer science business.industry Human-automation interactionMaintenance workforceMental workloadTask analysisWork organization Workforce Control (management) Task analysis Workload business Automation Mental effort
Zdroj:	2019 6th International Conference on Frontiers of Industrial Engineering (ICFIE).
DOI:	10.1109/icfie.2019.8907770
Popis:	In this paper, we addressed the issue of maintenance workforce allocation (WA) for a human-automation interaction (HAI) in dynamic situations. We performed in parallel a traditional method for workload analysis and a mental workload assessment for the workforce in the Control and Maintenance Center (CMC) of a driverless metro. A triangulation among data and results has allowed us to confirm the impact of mental effort on the workload and it has even uncovered the role played by objective dimensions. Findings suggest some organizational decisions mostly impacting on WA.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24cd39686a21acf618e06a96b288672 https://doi.org/10.1109/icfie.2019.8907770 Zobrazit plný text záznamu