Determining the Leanness Using Dimensional Analysis, AHP, and Fuzzy TOPSIS Methods (Case study: Rose Fireplace Co.)

Subject Areas : Industrial Management

Navid Hooshiar ¹ , Morteza Sadegh Amalnik ²

1 - M.A Student in Industrial Engineering, Payam Noor University, Tehran, Iran
2 - Assistant Professor, Qom State University, Qom, Iran

Received: 2018-01-11 Accepted : 2018-01-11 Published : 2011-10-23

Keywords:

Abstract :

Determining the leanness of different organizations is one of the key factors of progress into establishing a system without wastes and maximizing productivity in whole supply chain management. Lean manufacturing as a management philosophy concentrates on eradicating wastes in the whole value chain of a product. Using the improved dimensional analysis and its conversion to the standard form, this paper aims at identifying and analyzing 6 main factors and 35 sub-factors. Also, we used multi-criteria decision-making techniques according to the direct role of experts and differentiation of their votes to the specified alternatives. Analytic hierarchical process and Fuzzy-Topsis were used to define the linguistic weights of experts in our model. Additionally, linguistic values were parameterized by triangular fuzzy numbers to optimizing the decision making methods and avoid vagueness. The results show that the degree of adaptability of Rose Fire Place Company with lean manufacturing factors and characteristics is 0.52. Also, the results indicate the distance of various parts of the production management with respect to lean manufacturing. Finally, this approach is recommended for being used in every assembly industries.