درخت حوزه‌های تخصصی

Projects are affected by many internal and external factors. Such factors could be initiated domestically or internationally. The South Pars is a mega gas field in Iran which requires billions of dollars for development and gas extraction. Its development has taken a rather long time and gone through many challenges over the last two decades; due to several challenges, especially international barriers.In this research, the effects of sanctions on the expenditurs ofselected activities in developing of pars field between internal and foreign contractors is investigated. The main purpose of this research is to calculate the cost of selected activities of South Pars phases and compare the performance of internal contractors in sanctions conditions with foreign contractors in non-sanctions conditions.For this purpose, 18 activities which were similar in all of South Pars contracts,were selected.In these three sections, after applying relative indexes,global inflation, and technology by using inferential statistics, the total cost were considered among internal and foreign contractors. Based on the statistical analysis,there was no significant difference between the expenditures of selected activities performed by internal contractors and foreign contractors Under sanctions.

<strong>Abstract</strong> The motivation of this paper is the way in which the alternative fuel modes for public transport are analyzed. The aim is proposing a hybrid method to select the best fuel for public transport. The buses with old and new alternative fuels are considered in this paper. Several types of fuels are considered as alternative-fuel modes, e.g., conventional diesel, ultra-low-sulfur diesel fuel, bio-diesel fuel, and electric and gasoline hybrid engine. Moreover, many decision criteria categorized into performance, environmental, economical, infrastructure, technological, social, and risk are taken into consideration. The paper uses a hybrid multi-criteria decision analysis model to rank the fuel modes and/or choose the most efficient one. This hybrid method consists of rank order centroid method to assign the weights to the criteria, and additive ratio assessment technique to analyze the decision-making matrix. To demonstrate the applicability and flexibility of the model, a case study with data given by the experts from the respected fields is employed. The result presents that the liquefied propane gas (LPG) outperforms the other options in terms of the selected criteria.   <strong> </strong>

Since a major part of Iran petrochemical base products has been considered for export, it is essential and inevitable to consider international markets so as to examine the economic conditions of petrochemical development projects. The aim of the current work is to offer appropriate solutions to the facing challenges and to the development of innovation management model in the petrochemical companies producing polyethylene products and approaching new polyethylene goods. Data collection was conducted using the library and field studies; after taking these steps, 58 main indicators were considered by experts’ through screening among 130 extracted indices. Based on these indicators, a final questionnaire was designed by Likert scale and distributed. Finally, after receiving the comments of 105 managers and experts in 5 different petrochemical companies producing polyethylene on these indicators, the data were collected, and the research model was fitted using a structural equation and Smart PLS software. After fitting, 29 indices, 2 factors, and 6 dimensions were accepted for designing the model. The general dimension was composed of economic, organizational, regulatory, and supervision factors, while the specific dimension was formed of technological, technical, marketing, and systemic factors. According to the research conducted for successful innovation management, considering all the above-mentioned points is necessary in petrochemical companies producing polyethylene products. <strong><em> </em></strong>

The purpose of the current work, conducted in 2017 and 2018, is to identify andprioritize the qualitative and quantitative factors affecting human resources(HR) valuation at National Iranian Oil Company and its subsidiaries. Using asnowball sampling method, 28 experts were selected from the head of humanresources, the head of finance, and some staff members of National IranianOil Company and its subsidiaries. In order to identify the dimensions andcomponents affecting human resources valuation, a comprehensive literaturereview at international and national levels, interviews with experts, andthree stages of distribution and collection of questionnaires using the FuzzyDelphi method were performed. Then, two phases of the paired comparisonquestionnaire were developed and provided for the experts to explain andevaluate the cause-and-effect relationships between the dimensions andthe components together. The specified components and dimensions wereprioritized using the Fuzzy DEMATEL method. Using the Fuzzy Delphimethod, 15 dimensions and 101 components influencing HR valuation wereidentified at National Iranian Oil Company and its affiliated companies.According to Pareto 20-80, 20 components were identified as the factorsinfluencing human resources valuation at National Iranian Oil Company andits subsidiaries, and using the Fuzzy DEMATEL method, 15 dimensionsand 20 specified components were prioritized. According to the resultsobtained, the most important dimension and component affecting humanresources valuation at National Iranian Oil Company and its subsidiaries arejob satisfaction, motivation, and perseverance in employees’ assignments.

Since a large number of the oil and gas projects are related to the supply chain, the selection of contractors and suppliers is very important. In projects, a contractor is obliged to supply the goods from suppliers and manufacturers approved by the clients, while most companies in Iran, including the company surveyed in this research, i.e. Iranian Offshore Engineering and Construction Company (IOEC, do not have a scientific approach to this issue). The main objective of this research is providing a scientific and practical approach to ranking suppliers and contractors at IOEC and selecting the best ones. In order to achieve such an objective, an integrated model of Swing and TOPSIS methods with fuzzy approach has been designed and applied to a real case. The actual data used are obtained from the post-lay survey of the exports and infield pipelines of South Pars development phases 13, 14, and 22. <strong>Keywords</strong>: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

Due to the importance of technology and innovation in the oil industry, it is necessary to look more closely at the intellectual property of this industry. Intellectual capital is a concept that can classify and report the technology capabilities and knowledge spillover in a comparative format. The present research is aimed at providing an appropriate framework for reporting intellectual capital in oil industry companies. For this research, semi-structured interviews have been done with 15 experts and people from petrochemical and petroleum companies with intellectual and experiential thinking space. After the interview, the relevant texts were analyzed by the thematic analysis method. Finally, the intellectual capital reporting framework was extracted as a qualitative research product. Then, a questionnaire was designed to assess the acceptance of the qualitative model, which was distributed among the statistical community consisting of professors and PhD students and experts of different universities and companies. The results of the distributed questionnaire showed that the components of the framework were approved by the respondents.