TY - JOUR
T1 - A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics
AU - Roth, Norman
AU - Deuse, Jochen
AU - Biedermann, Hubert
N1 - Publisher Copyright: © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/5/2
Y1 - 2019/5/2
N2 - This article proposes a production system framework that synthesises lean production, business excellence, and factory physics. The framework, which draws on a deep state-of-the-art understanding, consists of a performance measurement system supporting the achievement of a target condition based on variability and lead time reduction, as well as approaches of continuous improvement. Based on four types of excellence, a System Excellence value is calculated, indicating the distance from a target condition and thus displaying relevant improvement potential. As a key result, the framework proposed provides a contribution to knowledge, as it combines the aforementioned schools of thought, resulting in a holistic framework for action. The measurement system offers a high level of robustness, as it draws on diverse data sources and reflects on the dynamic behaviour over time. It has been successfully implemented in automotive manufacturing plants worldwide, which may suggest considerable practical relevance. Another key result of this research is that through applying the framework, important bottom-line indicators, such as lead time, failure costs, or productivity, could be improved. As the plants are typical automotive industry high-volume plants, it is proposed that the solutions presented offer a suitable standard for this industry and type of plant.
AB - This article proposes a production system framework that synthesises lean production, business excellence, and factory physics. The framework, which draws on a deep state-of-the-art understanding, consists of a performance measurement system supporting the achievement of a target condition based on variability and lead time reduction, as well as approaches of continuous improvement. Based on four types of excellence, a System Excellence value is calculated, indicating the distance from a target condition and thus displaying relevant improvement potential. As a key result, the framework proposed provides a contribution to knowledge, as it combines the aforementioned schools of thought, resulting in a holistic framework for action. The measurement system offers a high level of robustness, as it draws on diverse data sources and reflects on the dynamic behaviour over time. It has been successfully implemented in automotive manufacturing plants worldwide, which may suggest considerable practical relevance. Another key result of this research is that through applying the framework, important bottom-line indicators, such as lead time, failure costs, or productivity, could be improved. As the plants are typical automotive industry high-volume plants, it is proposed that the solutions presented offer a suitable standard for this industry and type of plant.
KW - benchmarking
KW - business excellence
KW - factory physics
KW - lean manufacturing
KW - performance management
KW - sustainability
KW - variability
UR - http://www.scopus.com/inward/record.url?scp=85065432414&partnerID=8YFLogxK
U2 - 10.1080/00207543.2019.1612113
DO - 10.1080/00207543.2019.1612113
M3 - Article
SN - 1366-588X
VL - 58.2020
SP - 1074
EP - 1091
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 4
M1 - 0020-7543
ER -