جستجوی مقالات مرتبط با کلیدواژه « تکنیک دلفی فازی » در نشریات گروه « صنایع »

Referring to the IRAN’s sixth development plan, reducing vulnerability and promoting national stability in sensitive petrochemical industry is mandatory and technology has a vital role in providing passive defense requirements. Also due to globalization, technological progress is key driver of competitive advantages, the purpose of the research is identifying and prioritizing factors which affect the evaluation of PPC’s Technology based on the technological capabilities in the Atlas model, including techno-ware, human-ware, info-ware, orga-ware with capability and attractiveness criteria. Intelligent defense and improvement of resilience and passive defense are provided with continuous production, sales and exchange incomes through identifying and compensating the technology gap.

The purpose of the research is practical and implementation’s type is descriptive-survey.The data gathering method are questionnaire,interview and library, the statistical population are 24 people of experts. the 92 effective factors of Atlas model elements were collected, then Delphi questionnaire measure their importance, and relationship,effectiveness and ranking were done through the combined DEMATEL and ANP.

The human-ware and info-ware are driving forces with 30 and 24 weights-percent, and technology-oriented experts,creating motivation through leadership the most effective factors with 5.85 and 5.63 weights-percent.

The commitment of top management which is evident in maintaining technology-oriented experts, developing collaborative management, allocating resources, developing training and creating motivation, has more than 50 weight percent in using technology to achieve organization's competitive advantages and promote resiliency and passive defense

Today, the efficiency of the supply chain is a prerequisite for the success of many economic enterprises. Performance evaluation is also an important issue in the supply chain management. The purpose of the current research is to evaluate the performance of the service supply chain using the supply chain operational reference (SCOR) model and the fuzzy prioritization technique. In this research, samples are obtained through the purposeful and non-probability snowball sampling methods and the opinions of 15 Atka Company experts. The process of conducting this research includes three stages. The first stage is identifying the effective factors in performance evaluation of the service supply chain based on the SCOR approach. The second and third stages are screening the identified factors using the fuzzy Delphi technique and prioritizing the factors using the fuzzy approach. In the prioritization of the measurement scales the non-linear optimization model is used. The results show that in this performance evaluation, the criteria of reliability, property, agility, flexibility, cost and responsiveness achieve the highest priorities in descending order.

Nanotechnology plays an important role in the scientific, economic, and political development of countries, so that adapting to today's dynamic world and becoming the leading power in the Middle East and a pioneer in this field is subject to the acquisition of nanotechnology and the related knowledge. One of the short-term, urgent and effective methods for obtaining knowledge and technology concerned with nanotechnology is technology transfer but despite its outstanding importance, little attention has been paid. On the other hand, in extraordinary circumstances imposed by the sanctions against Iran, the urgency of this issue increases, since the technical and knowledge interactions under sanctions are harder and more complex. Also, the possibility of complete transfer of knowledge and technology, especially in the field of high technologies such as nanotechnology decreases. Therefore, this study has aimed to design a customized model for Iran to facilitate making accurate and wise decisions about transfer of nanotechnology and the knowledge associated with that technology. To achieve this goal, three basic steps have been taken. First, eighteen major factors influencing the transfer of knowledge and technology of nano has been identified. Then, these factors have been weighed. Finally, they have been categorized into five clusters that are: 1. Technology source, 2. Technology receiver, 3. Technology process, 4. Technology nature, 5. Technology environment. It is notable that this classification has been based on open systems approach.