Oil and Gas Economics and Management
Mohammad Ali Hatefi; Naser Mozhdekanloo
Abstract
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 ...
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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. Keywords: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines
mohammad ali hatefi
Abstract
Abstract 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 ...
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Abstract 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.
