Six Sigma is a philosophy of unremitting improvement and excellence in all aspects. The concept is a satisfactory modification process tool through customers, continuous improvement and stakeholder participation. Six Sigma is considered as statistical analysis, assessment scales and customer-oriented production accomplishments and it leads to defect production reduction. This paper recommends an approach to select Six Sigma projects using fuzzy multiple attribute decision making techniques composed with another concoction tool. Through insightful quarrying of literature, rudimentary criteria for selecting Six Sigma projects were revealed. The fundamental criteria were identified consuming the fuzzy hypothesis test. Having identified the most indispensable criteria, the weight of criteria were determined. Appling FANP techniques. Having calculated the weights pertinent to criteria through three methods, SAW, TOPSIS, and Fuzzy VIKOR, Six Sigma projects were introduced and prioritized. Applying the three methods engendered various results, which required the application of an amalgamation technique, entitled as Borda and it helped to clarify the final project rate.

This paper introduces a tool named EB-QFD used for electronic business planning in strategic issues. Nowadays, the challenges of manufacturing sectors for achieving global competition will depend on their speed to change from domestic to world class manufacturing organizations, also the rapid global deployment of electronic business, information technology and their benefits have required managers to make decision, which look for a balance world class manufacturing factors with strategic business goals. To ensure that selected e-business strategies meet world class manufacturing requirements, organizations should simultaneously explore and communicate the relationship between world class manufacturing and electronic business. Electronic business planners can achieve competitive advantages through the implementation of an integration of quality function deployment (QFD) with electronic business (EB) called EB-QFD. This study is based on data collected from an Iranian auto parts manufacturing company and the implementation of EB-QFD. In this research, EB-QFD contains two parts named EB-WHATs as needs of Electronic Business and EB-HOWs as resources for EB-WHATs. Statistical analysis points that there are positive relationships between using EB-WHATs and EB-HOW and world class manufacturing factors as competitive advantages. We used electronic business systems for EB-WHATs and resource based view (RBV) for EB-HOWs.