Memorias de investigación
Ponencias en congresos:
The HOSHIN KANRI TREE. Cross-Plant Lean Shopfloor Management
Año:2015
Áreas de investigación
  • Empresa industrial
Datos
Descripción
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.
Internacional
Si
Nombre congreso
The 5th Conference on Learning Factories 2015
Tipo de participación
960
Lugar del congreso
Bochum, Germany
Revisores
Si
ISBN o ISSN
2212-8271
DOI
10.1016/j.procir.2015.02.120
Fecha inicio congreso
07/07/2015
Fecha fin congreso
08/07/2015
Desde la página
150
Hasta la página
155
Título de las actas
5th Conference on Learning Factories
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Proyectos y Calidad
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística