Measuring the performance time in mechanical assembly line of Rio vehicle in SAIPA automotive corporation in ideal and critical conditions: Simulation technique

Measurement in lean manufacturing refers to system leanness, so manufacturers should constantly assess the degree of adaptability (DA) of systems to lean manufacturing criteria; but the main problem in assessing system leanness is ignoring the weighted values of experts according to their skills or considering mentioned parameter as deterministic or crisp. The purpose of this paper is improving dimensional analysis method as an efficient fuzzy approach to determine system leanness by considering the weighted value of experts in the form of triangular fuzzy numbers. In the other word, a new approach has been suggested that considering the weighted value of experts in the form of triangular fuzzy numbers in scoring lean manufacturing criteria for determining system leanness. In the fuzzy improved method, weighted value of experts can be in form of triangular fuzzy numbers and the number of judging experts from one criterion to another can be variable. The case study of this research is relevant to SAHAR paint industry which is one of the largest paint manufacturers in Iran. The results of this research indicate that sum squared errors between the fuzzy proposed method and the known technique of dimensional analysis equal to 0.111 that indicates significant differences and high accuracy of this fuzzy proposed method as fuzzy efficient approach in measurement of leanness in a system.