Purpose – The present paper aims to demonstrate the potential of integration between industrial robotics and Lean Manufacturing (LM) approach to increase the efficiency of an assembly line. Design/methodology/approach – Based on a case study performed in an Italian company, this paper reports a comparative analysis of the results produced on a line balancing study involving a semi-automated production line, aided by an industrial robot. Findings – The results suggest the possibility of implementing industrial robotics in line balancing studies highlighting efficiency gains and idle reduction. Further, it also addresses some concepts directly related to industry 4.0, such as collaborative robotics, artificial intelligence, and lean automation. Practical implications – Line balancing studies may include advanced robotics in order to extend traditional lean practices toward Digital LM. Originality/value – This study adds contributions to the operational excellence literature, demonstrating the symbiosis between industrial robotics and LM practices.
Symbiotic relationship between robotics and Lean Manufacturing: a case study involving line balancing / Sordan, JULIANO ENDRIGO; Carlos Oprime, Pedro; Lopes Pimenta, Marcio; Lombardi, Franco; Chiabert, Paolo. - In: THE TQM JOURNAL. - ISSN 1754-2731. - 34:5(2022), pp. 1076-1095. [10.1108/TQM-03-2021-0073]
Symbiotic relationship between robotics and Lean Manufacturing: a case study involving line balancing
Juliano Endrigo Sordan;Franco Lombardi;Paolo Chiabert
2022
Abstract
Purpose – The present paper aims to demonstrate the potential of integration between industrial robotics and Lean Manufacturing (LM) approach to increase the efficiency of an assembly line. Design/methodology/approach – Based on a case study performed in an Italian company, this paper reports a comparative analysis of the results produced on a line balancing study involving a semi-automated production line, aided by an industrial robot. Findings – The results suggest the possibility of implementing industrial robotics in line balancing studies highlighting efficiency gains and idle reduction. Further, it also addresses some concepts directly related to industry 4.0, such as collaborative robotics, artificial intelligence, and lean automation. Practical implications – Line balancing studies may include advanced robotics in order to extend traditional lean practices toward Digital LM. Originality/value – This study adds contributions to the operational excellence literature, demonstrating the symbiosis between industrial robotics and LM practices.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2982163