5 research outputs found

    Modeling of environmental aspects related to reverse osmosis desalination supply chain

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    open access journalBackground: This study aimed to model optimization of strategic environmental management decisions in the operation of reverse osmosis desalination, emphasizing the costs required for the environmental protection during the production of freshwater using reverse osmosis technology. Methods: This analytical research was conducted in five cities of Hormozgan province in Iran for 18 months from February 2018 to September 2019. The research includes eight phases of defining the research problem, data collection, preliminary data analysis and decision criteria, mathematical modeling, model validation, information preparation, analysis and finally discussion, conclusions and suggestions. The main environmental issues were the carbon dioxide (CO2) release rate due to power demand and rejected brine water (RBW) were entered the mathematical model. Results: The desalination plants of Abu Musa, Bandar Abbas, Qeshm, Sirik, and Hormoz with water production flow rate of 2100, 89 000, 5300, 3300 and 1500 m3/d can generate 2360.82, 100053.80, 5958.260, 3709.86 and 1686.30 tons/year of CO2 emissions respectively. This output requires 1.35, 57.47,3.42, 2.13 and 0.97 million USD for controlling the process, respectively. For reduction of the negative effect of RBW 0.75, 22.79, 1.78, 1.15 and 0.55 million USD respectively, is needed. Conclusion: Recommendations for environmental impacts protection of RBW, for desalination capacity up to 50 000 m3/d, are; (a) for desalination capacity up to 50 000 m3/d; dilution the RBW using raw water before entering into the sea, (b) for capacity of 50 000-100 000 m3/d; dispersing RBW in sea using diffuser, and (c) for capacity more than 100 000 m3/d; hybrid water desalination plants and power plant. Application of power plant cooling water to dilute RBW may reduce cost

    Proposing a Model of Co-Creative Participation in Tourism Market

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    Objective There is a growing interest in the customers’ innovation in the realm of tourism studies. In the new global business ecosystem where individuals, organizations, governments and economy work together as an integrated network, we need a new innovation model. The model should be set at a level in which internal, external, cooperative and co-creative ideas can converge to create organizational values and sharing those values. Considering the active participation of the regional opponents in the world tourism industry, there is a need to an efficient multi-faceted model for co creative innovation in order to encourage the use of reasonable strategies in tourism industry in Iran which can lead to the development of tourism. One can lower the risk and decrease the costs of exploiting tourism programs through identifying different partnerships affective in the co-creative process. Hence, the main concern of the present study is to identify the consumers’ cooperation types in co-creative activities and their probable effects on tourism industry.   Methodology The present study is a fundamental qualitative research. Grounded theory was used to extract theory out of the data. Deep semi-structured interviews, observation and documentary research were used as data collection procedures. The two groups of tourists and experts were interviewed in Iran and Europe tourism sites. The researchers used library and internet resources suh as books, articles, and case studies to complete the theoretical basis and used interview, asking for tourists and experts’ opinions to determine the desirable criteria. A sample size of 8 individuals was selected through non-random theoric sampling. Max QDE software was used to analyze the data and form theories while the interviews are all coded (open, pivotal, and selective) and then the subjects were extracted and joined together.   Findings The researchers reported two types of partnership for the customers namely, explicit and implicit and two partnership objectives for the tourists. Customers’ partnership in co-creative tourism activities are classified into four categories of: explicit-cocreative, explicit-sharing, implicit-cocreative, and implicit-sharing.   Conclusion The results showed that tourists can take part in cocreative activities within tourism organizations and companies in four different partnership types. Cocreative partnership characteristic allow customers’ involvement during the production time of the tourism product. The objective of explicit cocreative partnership is to create experiences or knowledge for tourists which includes brainstorming and co-thinking. Comparing the information of the customers among the companies at the same level can lead to creation of explicit ideas. Tourism companies, in explicit sharing, attempt to attract explicit partnership in order to share experiences or knowledge. Therefore, tourists are informed of their involvement in experience or knowledge sharing activities. Such partnership includes interview and sharing of ideas. Tourism companies furtively attract tourists’ partnership in implicit cocreative partnership in order to create experiences or knowledge. Cultural and impalpable programs are some instances of such partnership type. Finally, regarding implicit sharing partnership, we can consider visual programs and sharing activities among the characteristic of such partnership type

    Modeling of environmental aspects related to reverse osmosis desalination supply chain

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    Background: This study aimed to model optimization of strategic environmental management decisions in the operation of reverse osmosis desalination, emphasizing the costs required for the environmental protection during the production of freshwater using reverse osmosis technology. Methods: This analytical research was conducted in five cities of Hormozgan province in Iran for 18 months from February 2018 to September 2019. The research includes eight phases of defining the research problem, data collection, preliminary data analysis and decision criteria, mathematical modeling, model validation, information preparation, analysis and finally discussion, conclusions and suggestions. The main environmental issues were the carbon dioxide (CO2) release rate due to power demand and rejected brine water (RBW) were entered the mathematical model. Results: The desalination plants of Abu Musa, Bandar Abbas, Qeshm, Sirik, and Hormoz with water production flow rate of 2100, 89 000, 5300, 3300 and 1500 m3/d can generate 2360.82, 100053.80, 5958.260, 3709.86 and 1686.30 tons/year of CO2 emissions respectively. This output requires 1.35, 57.47, 3.42, 2.13 and 0.97 million USD for controlling the process, respectively. For reduction of the negative effect of RBW 0.75, 22.79, 1.78, 1.15 and 0.55 million USD respectively, is needed. Conclusion: Recommendations for environmental impacts protection of RBW, for desalination capacity up to 50 000 m3/d, are; (a) for desalination capacity up to 50 000 m3/d; dilution the RBW using raw water before entering into the sea, (b) for capacity of 50 000-100 000 m3/d; dispersing RBW in sea using diffuser, and (c) for capacity more than 100 000 m3/d; hybrid water desalination plants and power plant. Application of power plant cooling water to dilute RBW may reduce cost. Keywords: Mathematical modeling, Freshwater, Osmosis, Brine, Seawater

    Measuring Competitiveness of Methanol through ‌Fuzzy System

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    از مشکلات مهم صنعت عدم رقابت‌پذیری است. یکی از ارکان این مشکل، نبود رویکرد مشخص رقابت‌پذیری است. این پژوهش در حوزه‌ی متانل شرکت ملی صنایع پتروشیمی ایران انجام شده است. برای اندازه‌گیری توان رقابتی حوزه‌ی متانل شرکت ملی صنایع پتروشیمی ایران، ابتدا مدلی مفهومی توسعه داده شده است که سه حوزه‌ی اصلی دارد. سپس با استفاده از تکنیک‌های تحلیل عاملی و مدل‌سازی معادلات ساختاریافته این مدل با چندبار اصلاح و تعدیل به تأیید رسید. سپس با استفاده از مدل‌سازی شبکه‌های بیزین، دوباره مورد بررسی قرار گرفته و تأیید شد. سپس براساس دانش ایجاد شده توسط دو تکنیک فوق، یک سیستم فازی طراحی شد. در ادامه داده‌های مربوط به حوزه‌ی متانل شرکت ملی صنایع پتروشیمی ایران (شرکت فناوران و زاگرس) گردآوری شده و توسط سیستم فازی تحلیل شده است. طبق نتایج از این کار پژوهشی، مشخص شد، توان رقابتی شرکت صنایع پتروشیمی ایران وابسته به منابع است. به‌عبارت دیگر رویکرد این شرکت رویکرد مبتنی بر منابع ورودی بنگاه است

    ANP-based decision support system for selecting ERP systems in oil industry by using balanced scorecard

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    Using IT in Today's World gurantees the existence and survival of the activities of an organization and without using them, Not only the use of modern methods in the organization becomes impossible but the possibility of competence with other organizations will be eradicated. The ERP is one of the important usages of IT in the organizations that have got a special place. In the beginning, using the BSC, the Key performance indicators are determined. Using this indicators and standards of choosing, it was determined the best ERP system that is described in research literature in order to shopping the ERP software pack. In this research regarding to this fact that these indicators can have effects on each other and these mutual impacts can have an effect on the importance degree of indicators and best alternative selection; the ANP method has been used.The result of this research is to choose the best ERP software pack available among many in a way that it is suitable with the organizational strategies & goals
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