The ISO22400 standard defines key performance indicators for manufacturing operation management. Its visionary goal is to be applicable to all industry types, regardless the production methodology and the process configuration. Pursuing this objective, a challenging trade-off between generality and specificity in the definitions must be found. In the cited standard, the former approach has been preferred: thus, several indicators seem too vaguely defined and result to be difficulty usable in real contexts. Our aim is to refine the ISO22400 standard definitions and in this paper, by means of a designed classification method combined with the explicit and implicit existing information, the indicators are analysed according to their specific initial application context. Afterward, context extensions are proposed to overcome the recognised shortcomings and to better support performance measurement. In this step on the road to the improvement of the ISO standard, we managed to refer each indicator to work orders, production orders, work units, to the entire process, and to possible combination of these. This information is crucial to proceed towards a better interpretation of the standard and, thus, its diffusion in the real world.

Varisco, M., Johnsson, C., Schiraldi, M.m. (2018). Proposal for a classification of ISO22400 KPIs for manufacturing operations management. In Proceedings of the Summer School Francesco Turco (pp.444-449). AIDI - Italian Association of Industrial Operations Professors.

Proposal for a classification of ISO22400 KPIs for manufacturing operations management

Varisco, Martina
;
Schiraldi, Massimiliano M.
2018-09-12

Abstract

The ISO22400 standard defines key performance indicators for manufacturing operation management. Its visionary goal is to be applicable to all industry types, regardless the production methodology and the process configuration. Pursuing this objective, a challenging trade-off between generality and specificity in the definitions must be found. In the cited standard, the former approach has been preferred: thus, several indicators seem too vaguely defined and result to be difficulty usable in real contexts. Our aim is to refine the ISO22400 standard definitions and in this paper, by means of a designed classification method combined with the explicit and implicit existing information, the indicators are analysed according to their specific initial application context. Afterward, context extensions are proposed to overcome the recognised shortcomings and to better support performance measurement. In this step on the road to the improvement of the ISO standard, we managed to refer each indicator to work orders, production orders, work units, to the entire process, and to possible combination of these. This information is crucial to proceed towards a better interpretation of the standard and, thus, its diffusion in the real world.
23rd Summer School "Francesco Turco" - Industrial Systems Engineering 2018
Grand Hotel et des Palmes, ita
2018
23
AIDI
Rilevanza internazionale
contributo
12-set-2018
12-set-2018
Settore ING-IND/17 - IMPIANTI INDUSTRIALI MECCANICI
Settore ING-IND/35 - INGEGNERIA ECONOMICO-GESTIONALE
English
ISO22400; KPIs; Manufacturing operation management; Performance management; Business and International Management; Management of Technology and Innovation; Organizational Behavior and Human Resource Management; Strategy and Management1409 Tourism, Leisure and Hospitality Management; Management Science and Operations Research; Industrial and Manufacturing Engineering; Safety, Risk, Reliability and Quality; Waste Management and Disposal
http://www.summerschool-aidi.it/
Intervento a convegno
Varisco, M., Johnsson, C., Schiraldi, M.m. (2018). Proposal for a classification of ISO22400 KPIs for manufacturing operations management. In Proceedings of the Summer School Francesco Turco (pp.444-449). AIDI - Italian Association of Industrial Operations Professors.
Varisco, M; Johnsson, C; Schiraldi, Mm
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/211519
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