TY - GEN
T1 - Evaluation of the Critical Failure Factors of Process Improvement Methodologies
T2 - 2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
AU - Bader, Mariam
AU - Jayaraman, Raja
AU - Goonetilleke, Ravindra S.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study aims to evaluate the critical failure factors (CFFs) of process improvement (PI) projects, providing an initial understanding of the most impactful factors during PI implementation. Conducting an extensive literature review encompassing five prominent PI methodologies, Kaizen, Lean, Six Sigma, Lean Six Sigma, and Agile, revealed 39 CFFs contributing to PI failures. To manage this extensive set of factors, we utilize the Pareto analysis followed by the Analytical Hierarchy Process (AHP) model to assign weight to each factor and prioritize them accordingly. Five PI experts were involved in the pairwise comparison of the CFFs to examine the most influential factors. The top-ranked CFFs highlighted for PI initiatives were “Lack of top management support”, “Lack of clear vision/strategy for PI and future plans”, “Resistance to change”, “Lack of motivation, encouragement and reward” and “Lack of alignment between strategic objectives and PI project scope”. The outcomes of this work serve as a valuable tool for policymakers and PI professionals, offering a means to diagnose, evaluate, and address highly ranked CFFs, ultimately minimizing the risk of PI project failure.
AB - This study aims to evaluate the critical failure factors (CFFs) of process improvement (PI) projects, providing an initial understanding of the most impactful factors during PI implementation. Conducting an extensive literature review encompassing five prominent PI methodologies, Kaizen, Lean, Six Sigma, Lean Six Sigma, and Agile, revealed 39 CFFs contributing to PI failures. To manage this extensive set of factors, we utilize the Pareto analysis followed by the Analytical Hierarchy Process (AHP) model to assign weight to each factor and prioritize them accordingly. Five PI experts were involved in the pairwise comparison of the CFFs to examine the most influential factors. The top-ranked CFFs highlighted for PI initiatives were “Lack of top management support”, “Lack of clear vision/strategy for PI and future plans”, “Resistance to change”, “Lack of motivation, encouragement and reward” and “Lack of alignment between strategic objectives and PI project scope”. The outcomes of this work serve as a valuable tool for policymakers and PI professionals, offering a means to diagnose, evaluate, and address highly ranked CFFs, ultimately minimizing the risk of PI project failure.
KW - AHP
KW - critical failure factors
KW - Failure Evaluation
KW - Pareto analysis
KW - Process Improvement
UR - https://www.scopus.com/pages/publications/85218006313
U2 - 10.1109/IEEM62345.2024.10857079
DO - 10.1109/IEEM62345.2024.10857079
M3 - Conference contribution
AN - SCOPUS:85218006313
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1209
EP - 1213
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
PB - IEEE Computer Society
Y2 - 15 December 2024 through 18 December 2024
ER -