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As environmental policies are highlighted in the green supply chain, it plays an essential role in improving the supply chain capabilities. On the other hand, considering the development of technology and the Internet of Things intelligence and their potentials in goal achievement, it is important to investigate and study their applications in this field. This study aims to identify the most important criteria in selecting a green supplier and investigate the impact of the Internet of Things (IoT) on this selection. To achieve these objectives, the fuzzy cognitive map (FCM) method is used to identify the effective weights of each criterion and introduce the most effective criterion by examining the centrality. The fuzzy hierarchical analysis (FAHP) is used to investigate the role of IoT in the green supply chain. The results indicate that air pollution control is the most important criterion for evaluating the suppliers and also has the greatest impact on IoT.

Supply chain management creates value for companies, customers and stakeholders interacting throughout a supply chain. The strategic dimension of supply chains makes it paramount that their performances are measured. In today's performance evaluation processes, where the supply chain is considered as a vital element in the success of the company, it is important for evaluating the performance of specic. In other hand, companies assess supply chain performance using a variety of models that can be cited maturity models. Maturity models are used as a basis for the evaluation and comparison of improvement, and oer appropriate approach to increase the capability in organizations. The aim of this research is to evaluate the maturity of supply chain processes with the new framework. To achieve this goal, review of the literature related to the supply chain and performance evaluation is provided and concepts related to maturity with models worked in this eld are discussed, thereafter by using of Supply Chain Operations Reference (SCOR) model and Business process orientated maturity model (BPO) is provided a comprehensive framework including factors and conrmed indicators. Since up to now not provided a framework that can incorporate both dimension of performance evaluation and maturity in the eld of supply chain as well as The technical criteria used in each of its dimensions, The authors of the study have to provide a framework that would assess Iranian organizations supply chain based on Criteria don't handled in other research in the eld of maturity. Proposed framework has three dimensions including (1) Identify areas of the supply chain to assess their maturity, (2) levels of maturity and (3) criteria & indexes. Finally, to assess the maturity of supply chain processes in a number of Iranian companies in the dairy industry and companies have been studied and ranked using techniques Fuzzy Analytic hierarchy process (FAHP) and Additive Ratio Assessment (ARAS), the ndings also showed that are the planning process has highest degree importance in maturities processes.

Science parks (SPs) are organizations bringing research and industry. Their aim is to promote culture of innovation of their associated businesses and knowledge-based institution. Given the increasing number of SPs that are being set out both in highly industrialized as well as developing countries, the problem of measuring the performance of science parks is becoming paramount both in practiontoners and academicians agenda. The present work is aimed at evaluating Iranian SPs that are members of IASP based on criteria the repercussion of the science park in the territory. Performance criteria that used are networking, convention and collaboration stipulated between science park lab’s and local firms, new products and processes adopted by local firms and developed by the collaboration with the science park, number of firms born by the collaboration with the science park within re-industrializations programmes of abandoned industrial areas, number of workers employed in firms originated from the collaboration with science park and number of environmental improvement carried out in collaboration with science park’s lab. In This study these criteria are localized based on Iranian SPs circumstances. FAHP is applied to determine the relative weights of the evaluation criteria and FTOPSIS is applied to rank the alternatives. Science parks’ rank order of performance in these criteria is as follows: Isfahan STP> Fars STP> Khorasan STP> University of Tehran STP> Arac STP> Persian Gulf STP> Pardis STP> East Azarbaijan STP> Yazd STP> Guilan STP> Kerman STP> Hamedan STP> Kermanshah STP.

The aim of this paper, using a combination approach for fuzzy hierarchical analysis and balanced score card to assess the business climate in the industry in Iran. In the first part of the situation and favorable business environment in more reviews and Economic Intelligence Unit the results based on four aspects of balanced score card categories are analyzed. Indicators extracting fuzzy hierarchical analysis process has been weighted in proportion to their empowerment strategies for private sector survey design experts and 62 major strategies to identify and then select the most effective strategies to prioritize TOPSIS method used and finally 16 poll Grand strategy was selected. Appropriate strategies and operational solutions to the above interviews with experts and Library Studies to identify and extract the most effective solutions, expert persons development organizations affiliated to the Ministry of Industries and Mines of choice (a total of 30 organizations from every 5 persons) and questionnaire design those with the most important guidelines applicable to the study population and a total of 64 large-scale solution, was selected.