A fuzzy decision support model for selecting and prioritising improvement initiatives in the context of operational excellence: Application to a mining company
Randomized trial demonstrates an effective fuzzy logic model for prioritizing improvement initiatives in a mining company, suggesting enhanced decision-making capabilities.
Key Points
This research aims to develop a fuzzy decision support model to aid in selecting and prioritising improvement initiatives within operational excellence frameworks.
Developed a fuzzy logic-based decision support model to evaluate initiatives.
Used five input indicators for scoring: efficiency, feasibility, cost, implementation time, and originality.
Conducted a case study in a mining company to illustrate the model's applicability.
The fuzzy model provided a better management tool for uncertainty and subjectivity in decisions.
Practices showed improved consistency and relevance when compared to existing methods.
Positive outcomes suggest enhanced effectiveness in prioritizing improvement initiatives.