The HOSHIN KANRI TREE. Cross-Plant Lean Shopfloor Management


Autoria(s): Villalba Diez, Javier; Ordieres Mere, Joaquin Bienvenido; Nuber, Gottfried
Data(s)

2015

Resumo

Shopfloor Management (SM) empowerment methodologies have traditionally focused on two aspects: goal achievement following rigid structures, such as SQDCME, or evolutional aspects of empowerment factors away from strategic goal achievement. Furthermore, SM Methodologies have been organized almost solely around the hierarchical structure of the organization, failing systematically to cope with the challenges that Industry 4.0 is facing. The latter include the growing complexity of value-stream networks, sustainable empowerment of the workforce (Learning Factory), an autonomous and intelligent process management (Smart Factory), the need to cope with the increasing complexity of value-stream networks (VSN) and the leadership paradigm shift to strategic alignment. This paper presents a novel Lean SM Method (LSM) called ?HOSHIN KANRI Tree? (HKT), which is based on standardization of the communication patterns among process owners (POs) by PDCA. The standardization of communication patterns by HKT technology should bring enormous benefits in value stream (VS) performance, speed of standardization and learning rates to the Industry 4.0 generation of organizations. These potential advantages of HKT are being tested at present in worldwide research.

Formato

application/pdf

Identificador

http://oa.upm.es/39266/

Idioma(s)

eng

Publicador

E.T.S.I. Industriales (UPM)

Relação

http://oa.upm.es/39266/1/INVE_MEM_2015_216925.pdf

http://www.sciencedirect.com/science/article/pii/S2212827115002024

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Procedia CIRP. 5th Conference con Learning Factories (CLF 2015) | 5th Conference on Learning Factories (CLF 2015) | July 7th-8th, 2015 | Bochum, Germany

Palavras-Chave #Empresa
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed