Framework for prioritizing and allocating six sigma projects using fuzzy TOPSIS and fuzzy expert system

The project selection process can be recognized as the most important action in the success of six sigma projects. in this way, ranking and assigning projects to implementation teams is considered the most important step in this process. copious research has been undertaken into six sigma project selection (ssps), none of which, however, has been focused on selecting and allocating projects as a coherent process, simultaneously. in this regard, this article presents a framework for decision making, selecting and assigning the six sigma projects to implementation teams. first, the most important criteria in the ssps process are selected. subsequently, after identifying six sigma potential projects in the organization, the fuzzy topsis methodology is utilized to prioritize them. afterwards, the impact and effort indexes for each project are calculated. then, the takagi-sugeno-kang (tsk) fuzzy expert system is used to allocate the projects to six sigma specialists. finally, a case study in the automobile industry is presented and the framework is discussed to illustrate its developed application.