Abstract Importance of manufacturing capabilities for achieving competitive advantage was raised by Skinner. He stated that manufacturing function typically is either a competitive weapon or a corporate millstone. This paradigm set forth by Skinner and refined by scholars who followed him, express that in order to plan successful strategies, managers should pay attention to effects of manufacturing capabilities (Quality, Delivery, Flexibility and cost). Because of trade-off among level of each capability, they should set to the point which has most profitability for the firm. Empirical works of Ferdows, Demeyer and Nakane proceeding The Cumulative Model, this theory suggest that trade-off among capabilities isn’t always feasible, but firms follow a pre-specified order for building manufacturing capabilities as first quality, then dependable delivery, third cost reduction and finally flexibility, where effect of improving each capability on other capabilities could transit to supportive effect. In researches on manufacturing capabilities based on cumulative capabilities theory, effect of innovation is missed, and by studying literature review, we found that innovation can play a key role in creating sustainable competitive advantages. On the other hand, globalization and shorter products and technology life cycle, results in paying a lot more attention to innovation. In our study, we added innovation to the previous model which exists in the field of cumulative capabilities. The aim of this research is to find out the relationship between manufacturing capabilities using structural equation modeling on Saipa Corporation.

Abstract Risk management and improving the processes’ reliability are important in operations and production management. Failure modes and effects analysis (FMEA) is regarded as one of the most powerful methods in this area. High applicability and proper analyzability have caused FMEA to be among the most important techniques of systems’ risk analysis and safety improvement. On the other hand, widespread application of this method in various fields has revealed some weak points and constrains; subsequently many researchers have offered revisions and modifications on it. In this article, analytical network process (ANP), a modern and powerful method in decision-making field, has been used in combination with FMEA (ANPFMEA) for defeating the shortcomings. ANP-FMEA considers mutual relationships of hazardous factors, and by offering certain structure, develops a systematic and flexible view in risk management scope. The suggested method deploys simple concept of risk priority number and assigns different importance in the form of power for each factor. The resulted RPN will cope better with the system, in which it is applied. This method provides more accurate analysis of risk and, consequently, more efficient and effective actions, causing attainment and maintenance of more desirable reliability.