Identification and ranking the factors affecting lean manufacturing by using FAHP technique (Case study of Iran Transfo Corporation)

Abstract

In the second half of the twentieth century, global manufacturers faced with new competitors that with half of the necessary capital and facilities, supplied products to the global market with better quality, more variety and lower price. Despite the limitations in the market and thus the necessity of producing diverse products in small scale to meet diverse needs of customers, companies are forced to increase the production efficiency through continuous and uninterrupted effort to eliminate the dissipations. Lean manufacturing is one of the new techniques that arose from the automobile industry. The purpose of this research is to identify and rank the factors affecting lean manufacturing by using FAHP technique. This study in terms of applied objective and procedure is descriptive-analytic. The study population is Iran Transfo Corporation, in which by using the Cochran table, 145 people were determined as samples and were randomly selected, and through the questionnaire were evaluated. Pearson's correlation coefficient was used to investigate the relationship between independent and dependent variables, and Fuzzy Analytic Hierarchy Process (FAHP) was also used to rank the factors affecting lean manufacturing. The results of analysis of variables suggest that human resources, organizing, supply chain management, leadership, production process management and management information system have been effective on lean manufacturing, and leadership has been the most effective factor on lean manufactur