Abstract In today’s dynamic and competitive markets, industries and services require the methods, which can overcome the environmental challenges, and provide non-wasting production and services to the customers. Such tools can be achieved through pure production method. Therefore, by studying the literature review of pure production models in the supply chain, 14 major identification factors were identified in the form of a questionnaire presented to the experts and managers of automobile industry supply chain in order to specify the relationship and sequence of these factors through ISM method, and then confirm using path analysis technique. In this regard, these factors were located at five levels. The first level includes wasting and contentment of client; the second level is related to source control and continuous improvement; the third one involves the structure of material flow, supplying development and selection; the fourth level consists of educating and empowering, contacting with client and supplier and information flow structure; and the fifth level includes management behavior, methods and staffskills. The order of factors has helped the managers that if they implement these factors for the improvement of production methods and approaching to a pure production, from which factor they would initiate.    

Abstract One of the common problems in manufacturing firms is selecting the best manufacturing system with regard to firm capabilities, market situation, competitors and political and economical issues. Just-In-Time system is one of the best manufacturing systems, which has many benefits. In contrast; implementation of this system is very difficult because of various constraints. Therefore, manufacturing managers encounter the problem of using or not using this system in their firm. In this article, a decision making model based on Analytic Network Process (ANP) is presented for analyzing this problem in a printing factory for finding the appropriate manufacturing strategy. To sum up, the decision making criteria were determined by studying the literature, relevant articles and using Nominal Group Technique among the experts. Then, the related decision making model was prepared by expert interviews. Finally, the best strategy was selected by paircomparison and solving the model.