TY - JOUR
T1 - Testing the S-Curve Theory in OEM for Lean Operations
T2 - A Study on Organizational Transformation in the VUCA World
AU - Kamala, V.
AU - Sunder M, Vijaya
AU - Sreedharan, V. Raja
AU - Chargui, Kaoutar
AU - Zouadi, Tarik
AU - Tortorella, Guilherme Luz
N1 - Publisher Copyright:
IEEE
PY - 2023/5/4
Y1 - 2023/5/4
N2 - As the world is becoming more VUCA, only a few studies focus on exploring the plant performance and mapping its pattern in real time. The existing study shows that plant performance can be linked to an S-curve theory. This is mainly due to market turbulence, demand for continuous improvement, and the introduction of emerging technologies. Taking this idea, in this article, we focus on testing the S-curve in the lean deployment of an OEM. The study proposes integrating lean tools with decision-making techniques to achieve productivity benefits. The proposed method uses VSM to portray the changeover activities and standardize them using the SMED technique to reduce the changeover time alongside other continuous improvement suggestions. This provides real-time active solutions for decision making, prediction, and planning of resources. It also assists the industrial units in getting better insights into their productivity improvization and market evaluation trends. The study proposed an IoT-driven ecosystem for effective decision making in the OEM environment. Finally, the study is tested in an automotive OEM that has reduced changeover time by > 75% and an overall productivity increase of 27.31%. Such an ecosystem contributes to organizational transformation and promotes innovation in OEM.
AB - As the world is becoming more VUCA, only a few studies focus on exploring the plant performance and mapping its pattern in real time. The existing study shows that plant performance can be linked to an S-curve theory. This is mainly due to market turbulence, demand for continuous improvement, and the introduction of emerging technologies. Taking this idea, in this article, we focus on testing the S-curve in the lean deployment of an OEM. The study proposes integrating lean tools with decision-making techniques to achieve productivity benefits. The proposed method uses VSM to portray the changeover activities and standardize them using the SMED technique to reduce the changeover time alongside other continuous improvement suggestions. This provides real-time active solutions for decision making, prediction, and planning of resources. It also assists the industrial units in getting better insights into their productivity improvization and market evaluation trends. The study proposed an IoT-driven ecosystem for effective decision making in the OEM environment. Finally, the study is tested in an automotive OEM that has reduced changeover time by > 75% and an overall productivity increase of 27.31%. Such an ecosystem contributes to organizational transformation and promotes innovation in OEM.
KW - Continuous improvement
KW - Costs
KW - Decision making
KW - Internet of Things
KW - Monitoring
KW - Process control
KW - Real-time systems
KW - Testing
KW - decision-making
KW - lean
KW - original equipment manufacturer
KW - single minute exchange of die
KW - value stream mapping
UR - http://www.scopus.com/inward/record.url?scp=85159800709&partnerID=8YFLogxK
U2 - 10.1109/TEM.2023.3267040
DO - 10.1109/TEM.2023.3267040
M3 - Article
AN - SCOPUS:85159800709
SN - 0018-9391
VL - 71
SP - 7930
EP - 7945
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -
