This paper proposes Jidoka (automation with a human touch) as the main guiding principle for SMEs digital transformation; understood as the continuous increase of levels of automation and intelligence at their shopfloors in an economic, social and technological sustainable way. It stresses the forgotten dual nature of Jidoka as an ‘automation approach’ as well as a ‘learning system’, capable of simultaneously improving the efficiency of manufacturing processes and cultivating the workforce skills needed to develop and/or adopt advanced automation solutions. The paper aims to remind the developers of automatic control systems in the Industry 4.0 era that it is only through human-machine mutual learning, characterized by cyber-physical-social interactions (cf. Jidoka 4.0 Systems), that sustainable higher levels of automation and intelligence can be achieved. Human operators need to know the processes that are being automated, so that, at the same time, this knowledge can be continuously updated and processes improved as digital technologies evolve: “Incorporating human learning, gives automation its human touch”.

(2019). Rethinking Jidoka Systems under Automation & Learning Perspectives in the Digital Lean Manufacturing World . Retrieved from http://hdl.handle.net/10446/152710

Rethinking Jidoka Systems under Automation & Learning Perspectives in the Digital Lean Manufacturing World

Gaiardelli, Paolo;
2019-01-01

Abstract

This paper proposes Jidoka (automation with a human touch) as the main guiding principle for SMEs digital transformation; understood as the continuous increase of levels of automation and intelligence at their shopfloors in an economic, social and technological sustainable way. It stresses the forgotten dual nature of Jidoka as an ‘automation approach’ as well as a ‘learning system’, capable of simultaneously improving the efficiency of manufacturing processes and cultivating the workforce skills needed to develop and/or adopt advanced automation solutions. The paper aims to remind the developers of automatic control systems in the Industry 4.0 era that it is only through human-machine mutual learning, characterized by cyber-physical-social interactions (cf. Jidoka 4.0 Systems), that sustainable higher levels of automation and intelligence can be achieved. Human operators need to know the processes that are being automated, so that, at the same time, this knowledge can be continuously updated and processes improved as digital technologies evolve: “Incorporating human learning, gives automation its human touch”.
2019
Inglese
9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019, Berlin, Germany, 28–30 August 2019
Ivanov, Dmitry; Dolgui, Alexandre; Yalaoui, Farouk;
52
13
899
903
cartaceo
online
Netherlands
Amsterdam
Elsevier
MIM 2019: 9th IFAC Conference on Manufacturing Modelling, Management and Control, Berlin, Germany, 28–30 August 2019
9th
Paris (France)
28-30 August 2019
internazionale
contributo
Settore ING-IND/17 - Impianti Industriali Meccanici
Jidoka Systems; Digital Lean Manufacturing; Cyber-Physical Systems; Lean Automation; Balanced Automation; Autonomation; Human-Machine Mutual Learning; Machine Tools 4.0; Human-Machine Interfaces 4.0; Operator 4.0; Industry 4.0;
info:eu-repo/semantics/conferenceObject
5
Romero, David; Gaiardelli, Paolo; Powell, Daryl; Wuest, Thorsten; Thürer, Matthias
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2019). Rethinking Jidoka Systems under Automation & Learning Perspectives in the Digital Lean Manufacturing World . Retrieved from http://hdl.handle.net/10446/152710
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