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Standardization of human activities as the component of a workflow efficiency model - a research experiment from a meat producing plant

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Języki publikacji
EN
Abstrakty
EN
The aim of the following research it to provide assumptions for creating workflow efficiency model that can be implemented in repeatable production workstations. One of the main components of this model are human activities and their interactions with other elements of working environment: human and artefacts. Recognition of patterns of human behaviours within working processes gives the opportunity to find critical points that influence workflow efficiency. The subject of research is a working process existing in meat producing plant. The main method used for recognizing human activity patterns was observation and qualitative and quantitative assessments of operational activities based on video registration. Particularly, human activities were analyzed under ergonomics criteria in order to proof dependencies between process efficiency and specific ergonomic factors forming working conditions at meat plant.
Rocznik
Strony
73--77
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
  • Silesian University of Technology, Faculty of Organization and Management, Poland
  • Silesian University of Technology, Faculty of Organization and Management, Poland
  • Silesian University of Technology, Faculty of Organization and Management, Poland
Bibliografia
  • 1.Bartnicka, J., 2020. Doskonalenie procesów pracy w organizacji szpitalnej, Wydawnictwo Politechniki Śląskiej, Gliwice.
  • 2.Candana, S.A., Sahinb, U.K., Akoğlua, S., 2019. The investigation of work-related musculoskeletal disorders among female workers in a hazelnut factory: Prevalence, working posture, work-related and psychosocial factors. International Journal of Industrial Ergonomics, 74.
  • 3.Cleary, P.W., Thomas, D., Hetherton, L., Bolger, M., Hilton, J.E., Watkins, D., Workspace, 2020. A workflow platform for supporting development and deployment of modelling and simulation, Mathematics and Computers in Simulation, 175, 25-61
  • 4.Dias, N.F., Tirloni, A.S., dos Reis, D.C., Pereira Moro, A.R., 2020. Risk of slaughterhouse workers developing work-related musculoskeletal disorders in different organizational working conditions, International Journal of Industrial Ergonomics, 76.
  • 5.Karhu, O., Kansi, P., Kuorinka, I., 1977. Correcting working postures in industry: A practical method for analysis, Appl Ergon., 8(4), 199‐201.
  • 6.Mijal, M., 2016. Naukowe zarządzanie - nurt przemysłowy i administracyjny, [w:] Klincewicz, K. (red.): Zarządzanie, organizacje i organizowanie - przegląd perspektyw teoretycznych, Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego, Warszawa.
  • 7.Rozinat, A., Wynn, M.T., van der Aalst, A.W.M.P., ter Hofstede, A.H.M., Fidge, C.J., 2009. Workflow simulation for operational decision suport., Data & Knowledge Engineering, 68(9), 834-850.
  • 8.Taylor, F.W., 1912. The principles of scientific management, New York and London, Harper and Brothers, 1912.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-997341c8-d05d-46d3-bca1-5115014fd2d4
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