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        1 - Supplier’s Selection Based on Lean-Green Production Indicators by Goal Programming, Fuzzy DEMATEL and Fuzzy Quality Function Development
        Raheleh Abbasi Bastami Reza Ehtesham Rasi Sadegh Abedi
        One of the most important parts of the green supply chain management (GSCM) is the green supplier. The green supplier selection process has a vague nature. Therefore, specific approaches, such as fuzzy, are necessary during their evaluation. On the other hand, the choic More
        One of the most important parts of the green supply chain management (GSCM) is the green supplier. The green supplier selection process has a vague nature. Therefore, specific approaches, such as fuzzy, are necessary during their evaluation. On the other hand, the choice of a coherent and integrated strategy is vital to achieve lean and green production. Accordingly, the present study aimed to select suppliers based on lean green production indicators by goal programming, fuzzy DEMATEL and quality performance expansion. The statistical population of this study consisted of personnel (managers, assistants and experts) with 16 managers and assistants and 46 experts. In this research, the Cochran formula (including error percentage of 5%) was used to determine the number of statistical samples. Accordingly, 53 experts from Pars Khodro Company participated as a sample (by simple random sampling method). In order to analyze the data, fuzzy DEMATEL methods, expansion of fuzzy performance quality and goal programming were used. According to the findings of the present study, continuous improvement to achieve lean green indicators is the main element of the production system at Pars Khodro Company. The important aspect of determining how much damage would be bestowed on the best supplier, so that it would be possible to determine the least amount of damage in sum, was reviewed in this section. In other words, the lowest possible losses are based on the suffering of the current losses, the supplier and in which level of losses it has the most optimal status. Manuscript profile
      • Open Access Article

        2 - Dynamic System Analysis of R&D Based on Localization Capabilities in the Commercial Auto Industry
        Soraya Lashgari Sadegh Abedi Seyedjavad Iranban
        According to published reports on the level of internalization of commercial vehicles, it shows that most carmakers pursue a minimal domestic manufacturing policy and less have a policy of increasing domestic manufacturing on their agenda. The most important research ga More
        According to published reports on the level of internalization of commercial vehicles, it shows that most carmakers pursue a minimal domestic manufacturing policy and less have a policy of increasing domestic manufacturing on their agenda. The most important research gaps are need to study R&D activities in the form of a dynamic system in the automotive industry based on the three variables of supply network capabilities, product innovation and process. The purpose of this study is to provide a dynamic model to investigate the behavior of a commercial vehicle R&D system. The present study is applied in terms of purpose. The basis of the system analysis is previous research as well as information obtained from interviews with automotive industry experts. For this purpose, first the variables affecting the cycle of R&D activities are studied and modeling is presented using the dynamics approach. Also, various policies on the performance of the development research cycle based on the time of knowledge acquisition and product introduction have been simulated and analyzed. The results of system performance simulation show that the weak share of research and development budget along with low and limited market share and lack of proper investment makes the research and development capability at an unfavorable level during the next 10 years. Therefore, it is suggested that the necessary measures in this regard be taken in the fields of product sales marketing along with appropriate investment in research and development. Manuscript profile