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        1 - A combined Model design for developing and optimizing product platform architecture considering parameters of DFV, DFC, DFSC, and DFAv, case study: phased array radar
        Masoud Merati Mahdi Karbasian Abbas Toloie Ashlaghi Hasan Haleh
        Developing a robust platform architecture can give companies a competitive edge and enhance product future generations and customer satisfaction. However, in order to develop a product platform architecture, there is a need for some kind a product variety design that co More
        Developing a robust platform architecture can give companies a competitive edge and enhance product future generations and customer satisfaction. However, in order to develop a product platform architecture, there is a need for some kind a product variety design that concurrently manages costs and the supply chain process, and focuses on ease of use and improved availability to components. In this research, the design for variety (DFV) approach and two indices, generational variety index (GVI) and coupling index (CI) are used to measure a product architecture. Using the quality function deployment (QFD) and design structure matrix (DSM), design indices for product diversity are identified and ranked. Additionally, the design for variety approach is modeled simultaneously with the concepts of design for cost (DFC), design for availability (DFAv), and design for supply chain (DFSC) to yield a practical mathematical model for the development of the product platform architecture, which aims for product diversity, improved availability, reduced costs, and supply chain management. The case study of the current research is a phased array radar, which is optimized using the latest techniques (genetic algorithm) and MATLAB software to solve the problem. After implementing the model, considering four objectives including total cost, availability, supplier evaluation score (competency) and replaceability (variety), and seven main parameters of the model, sensitivity analysis and other comparisons and results are presented, which analyzes the relationships between objectives, the impressment and affectability of objectives and model parameters on each other. Regarding the comparison of objectives, the results generally show the inverse relationship between the total cost objective and the other objectives, and the direct relationship between the other objectives with each other. Additionally, the results of the sensitivity analysis performed indicate that the availability objective had the highest effect and replaceability (variety) and the evaluation score of suppliers (competency) and total cost also took next place. Manuscript profile
      • Open Access Article

        2 - Appraisal of Industrial Plans with Expected Monetary Value Approach Using FAHP in the Ceramic and Tile Industry
        Masoud Merati
        One of the essential issues existing in the industry section and long term investments is the procedure of evaluation and selection of industrial projects. Since selection of the optimum and appropriate project, is followed by economic efficiency and conversely the fail More
        One of the essential issues existing in the industry section and long term investments is the procedure of evaluation and selection of industrial projects. Since selection of the optimum and appropriate project, is followed by economic efficiency and conversely the failure of a project causes time and cost wastage and will be followed by huge adverse consequences. Hence, decision making in this field is complicated and various tangible, intangible, qualitative and quantitative factors are involved in it and for this reason identification, study and analysis of them is necessary. In order to evaluate the projects in this article, initially technical and financial studies are considered and analyzed and its results are posed. Technical studies include estimation of investment constant costs, estimation of the plan income, costs before usage, capital turnover and production charges and financial studies include estimation of net current value indices, internal output rate, profitability index, capital return period, break – even analysis and other factors which contribute to economic evaluation of the project. The case study in this research is construction of a tile factory which five plans which in fact involve the research options are considered with indices and various technical and economic factors which through Fuzzy Hierarchical Analysis Technique which is Fuzzy Multivariate Decision Making Methods, have been compared so that the best option is selected and the projects are ranked. The ‌considered indices involve four financial indices including net current value, capital return period, investment output, sales output and the ratio of numerical break – even. The research result indicates that the projects ranking results is very close to the ranking on the basis of internal output rate. Manuscript profile