A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization

Lorenzo Comberti; Micaela Demichela; Maria Chiara Leva

doi:10.1201/9781351174664-48

A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization

Lorenzo Comberti, Micaela Demichela, Maria Chiara Leva

School of Food Science and Environmental Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Nowadays the majority of organizations operating in manufacturing field recognize the importance of including the Human Factor contribution in the industrial process optimization (Hong et al. 2007). Technical measures and work organization procedures have been optimized in order to reduce the defects and waste generation but the Human Performance prediction still represents for Managers a difficult task to deal with.The prediction of the human performances of all workers involved in a production system would help Managers in better allocating the human resources. In order to reach this objective, a model to quantify the human capability of managing a complex task in a working context characterized by a set of physical, organizational and cognitive factors was designed.This paper presents the preliminary results of a three years industry/academia partnership project to assess the human performance in manufacturing plant. A multi-discipline approach involving both technical and individual factors was adopted.

Original language	English
Title of host publication	Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018
Editors	Stein Haugen, Anne Barros, Jan Erik Vinnem, Coen van Gulijk, Trond Kongsvik
Publisher	CRC Press/Balkema
Pages	381-386
Number of pages	6
ISBN (Print)	9780815386827
DOIs	https://doi.org/10.1201/9781351174664-48
Publication status	Published - 2018
Event	28th International European Safety and Reliability Conference, ESREL 2018 - Trondheim, Norway Duration: 17 Jun 2018 → 21 Jun 2018

Publication series

Name	Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018

Conference

Conference	28th International European Safety and Reliability Conference, ESREL 2018
Country/Territory	Norway
City	Trondheim
Period	17/06/18 → 21/06/18

Access to Document

10.1201/9781351174664-48

https://arrow.tudublin.ie/schfsehbk/12Licence: CC BY-NC-SA

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Comberti, L., Demichela, M., & Leva, M. C. (2018). A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization. In S. Haugen, A. Barros, J. E. Vinnem, C. van Gulijk, & T. Kongsvik (Eds.), Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 (pp. 381-386). (Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018). CRC Press/Balkema. https://doi.org/10.1201/9781351174664-48

Comberti, Lorenzo ; Demichela, Micaela ; Leva, Maria Chiara. / A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization. Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. editor / Stein Haugen ; Anne Barros ; Jan Erik Vinnem ; Coen van Gulijk ; Trond Kongsvik. CRC Press/Balkema, 2018. pp. 381-386 (Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018).

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title = "A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization",

abstract = "Nowadays the majority of organizations operating in manufacturing field recognize the importance of including the Human Factor contribution in the industrial process optimization (Hong et al. 2007). Technical measures and work organization procedures have been optimized in order to reduce the defects and waste generation but the Human Performance prediction still represents for Managers a difficult task to deal with.The prediction of the human performances of all workers involved in a production system would help Managers in better allocating the human resources. In order to reach this objective, a model to quantify the human capability of managing a complex task in a working context characterized by a set of physical, organizational and cognitive factors was designed.This paper presents the preliminary results of a three years industry/academia partnership project to assess the human performance in manufacturing plant. A multi-discipline approach involving both technical and individual factors was adopted.",

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Comberti, L, Demichela, M & Leva, MC 2018, A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization. in S Haugen, A Barros, JE Vinnem, C van Gulijk & T Kongsvik (eds), Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018, CRC Press/Balkema, pp. 381-386, 28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway, 17/06/18. https://doi.org/10.1201/9781351174664-48

A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization. / Comberti, Lorenzo; Demichela, Micaela; Leva, Maria Chiara.
Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. ed. / Stein Haugen; Anne Barros; Jan Erik Vinnem; Coen van Gulijk; Trond Kongsvik. CRC Press/Balkema, 2018. p. 381-386 (Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Nowadays the majority of organizations operating in manufacturing field recognize the importance of including the Human Factor contribution in the industrial process optimization (Hong et al. 2007). Technical measures and work organization procedures have been optimized in order to reduce the defects and waste generation but the Human Performance prediction still represents for Managers a difficult task to deal with.The prediction of the human performances of all workers involved in a production system would help Managers in better allocating the human resources. In order to reach this objective, a model to quantify the human capability of managing a complex task in a working context characterized by a set of physical, organizational and cognitive factors was designed.This paper presents the preliminary results of a three years industry/academia partnership project to assess the human performance in manufacturing plant. A multi-discipline approach involving both technical and individual factors was adopted.

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Comberti L, Demichela M, Leva MC. A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization. In Haugen S, Barros A, Vinnem JE, van Gulijk C, Kongsvik T, editors, Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. CRC Press/Balkema. 2018. p. 381-386. (Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018). doi: 10.1201/9781351174664-48

A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization

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