TY - JOUR
T1 - Integration of value stream mapping with DMAIC for concurrent Lean-Kaizen
T2 - A case study on an air-conditioner assembly line
AU - Guo, Wei
AU - Jiang, Pingyu
AU - Xu, Lei
AU - Peng, Guangzhou
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - This article proposes a new model for concurrent Lean-Kaizen based on the Lean production thinking. According to the concept and application scenarios of value stream mapping and DMAIC (Define, Measure, Analyze, Improve, and Control), we proposed an integrated VSM-DMAIC by adopting their advantages and avoiding their disadvantages. The VSM-DMAIC model is applied to tackle the production problems on production line. Value stream mapping is used to identify the production problems during production processes by waste identification. Then, the production problems are clustered into different production problem sets according to the changed types of production resources while solving production problems. The data envelopment analysis method is used to rank the production problems by input–output ratio, and the most important production problem in each set can be the concurrent Lean-Kaizen. DMAIC provides a structured problem-solving method for production problems. Finally, the production problems and production problem sets will be reassessed for the next concurrent Lean-Kaizen. A case study of an air-conditioner assembly line verified the feasibility and efficiency of the proposed VSM-DMAIC model, which can be used to improve the economic benefits and decrease the waste of production line.
AB - This article proposes a new model for concurrent Lean-Kaizen based on the Lean production thinking. According to the concept and application scenarios of value stream mapping and DMAIC (Define, Measure, Analyze, Improve, and Control), we proposed an integrated VSM-DMAIC by adopting their advantages and avoiding their disadvantages. The VSM-DMAIC model is applied to tackle the production problems on production line. Value stream mapping is used to identify the production problems during production processes by waste identification. Then, the production problems are clustered into different production problem sets according to the changed types of production resources while solving production problems. The data envelopment analysis method is used to rank the production problems by input–output ratio, and the most important production problem in each set can be the concurrent Lean-Kaizen. DMAIC provides a structured problem-solving method for production problems. Finally, the production problems and production problem sets will be reassessed for the next concurrent Lean-Kaizen. A case study of an air-conditioner assembly line verified the feasibility and efficiency of the proposed VSM-DMAIC model, which can be used to improve the economic benefits and decrease the waste of production line.
KW - DMAIC
KW - Lean production
KW - Value stream mapping
KW - case study
KW - concurrent Lean-Kaizen
UR - https://www.scopus.com/pages/publications/85062223902
U2 - 10.1177/1687814019827115
DO - 10.1177/1687814019827115
M3 - 文章
AN - SCOPUS:85062223902
SN - 1687-8132
VL - 11
JO - Advances in Mechanical Engineering
JF - Advances in Mechanical Engineering
IS - 2
ER -