An efficient approach for large scale project planning based on fuzzy Delphi method
Fuzzy Sets and Systems
Multiple criteria R&D project selection and scheduling using fuzzy logic
Computers and Operations Research
Fuzzy Sets and Systems - Optimisation and decision
Mathematics and Computers in Simulation
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Multiple attribute decision-making methods for the dynamic operator allocation problem
Mathematics and Computers in Simulation
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated analytic approach for Six Sigma project selection
Expert Systems with Applications: An International Journal
A fuzzy opportunity and threat aggregation approach in multicriteria decision analysis
Fuzzy Optimization and Decision Making
Engineering Applications of Artificial Intelligence
Research on the group decision-making about emergency event based on network technology
Information Technology and Management
An optimization framework towards prioritization in fuzzy comparison matrices
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Robotics and Computer-Integrated Manufacturing
Fuzzy extension of TOPSIS model for group decision making under multiple criteria
Artificial Intelligence Review
Continuous improvement of knowledge management systems using Six Sigma methodology
Robotics and Computer-Integrated Manufacturing
| Hi-index | 12.06 |
Six-Sigma is a tactical tool of significant value in achieving operational excellence. The project selection decision, under a resources constraint, is the early stage of implementation for a Six-Sigma intervention. The project selection decision is challenging due to its fuzzy group decision-making aspect inherent to the problem. The present study proposes to adopt national quality award criteria as the Six-Sigma project selection criteria, and proposes a hierarchical criteria evaluation process. The strategic criteria are evaluated by the management team using a Delphi fuzzy multiple criteria decision-making method. Then, the tactical sub-criteria which contain additional operational issues are evaluated by the Six-Sigma Champion. The proposed methodology is successfully applied in solving the project selection problem deriving from a component manufacturer. The empirical outcomes are promising. Moreover, the results show that the higher a project's priority is, the greater the financial gains will be on completion of the project. Accordingly, the proposed methodology can prioritize the financial gain - which is the key performance indicator for a Six-Sigma project. Additionally, the quality status of the case company has been significantly improved through implementation of the Six-Sigma project. The systematic evaluation process also influences employees to adopt an analytical operations philosophy. Moreover, the commercial objectives of the company are brought into focus by the proposed methodology.