In this paper, a tree-like structure of Key Performance Indicators (KPIs) is proposed to describe the Performance Measurement System (PMS) of a lean production system. The KPIs and their supporting measurement elements are identified and categorized in a multi-level hierarchy designed to give answers at strategic, tactical, and operational level. Examples of the dependencies between high-level decision variables, KPIs, and their measurement elements are presented with reference to the Bosch Production System (BPS) of a multinational manufacturer leader in the automotive industry. Moreover, the role and the impact of the KPIs selection in supporting, addressing, and evaluating the implementation of smart manufacturing projects in the fourth industrial revolution (I4.0) is shown.

Developing a key performance indicators tree for lean and smart production systems / Ante, G.; Facchini, F.; Mossa, G.; Digiesi, S.. - ELETTRONICO. - 51:11(2018), pp. 13-18. (Intervento presentato al convegno 16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018: tenutosi a Bergamo, Italy nel June 11-13, 2018) [10.1016/j.ifacol.2018.08.227].

Developing a key performance indicators tree for lean and smart production systems

Facchini, F.
;
Mossa, G.
;
Digiesi S.
2018-01-01

Abstract

In this paper, a tree-like structure of Key Performance Indicators (KPIs) is proposed to describe the Performance Measurement System (PMS) of a lean production system. The KPIs and their supporting measurement elements are identified and categorized in a multi-level hierarchy designed to give answers at strategic, tactical, and operational level. Examples of the dependencies between high-level decision variables, KPIs, and their measurement elements are presented with reference to the Bosch Production System (BPS) of a multinational manufacturer leader in the automotive industry. Moreover, the role and the impact of the KPIs selection in supporting, addressing, and evaluating the implementation of smart manufacturing projects in the fourth industrial revolution (I4.0) is shown.
2018
16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018:
Developing a key performance indicators tree for lean and smart production systems / Ante, G.; Facchini, F.; Mossa, G.; Digiesi, S.. - ELETTRONICO. - 51:11(2018), pp. 13-18. (Intervento presentato al convegno 16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018: tenutosi a Bergamo, Italy nel June 11-13, 2018) [10.1016/j.ifacol.2018.08.227].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/144715
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