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Natural gas is a main source of energy in Iran, and optimal allocation to different sectors is crucial, based on realities, geopolitical considerations, and national security concerns. In this paper, a multi-objective goal programming model is developed to study the optimal allocation of this resource to various consumption sectors, including household business, industry, petrochemical industry, power plants, injection to oil fields, and export from Iran for the horizon of 2025. In this research, the energy security index is prioritized over other indicators. Two objective functions are considered: the first is maximizing the energy security index (minimizing the cost of energy security), and the second is minimizing the relative weight of different consumption sectors. The goal share of the various gas sectors, the amount of consumption of the various consumption sectors, and the allocatable and predicted amount for each year is calculated. Household business, power plants, petrochemical industries, industry, and export aid injection to oil fields are the most consuming sectors in 2025, respectively. Also, based on cost minimization, power plants, petrochemical industries, and industries in general are the more consuming sectors, respectively.
Ieva Meidute-Kavaliauskiene; Vida Davidaviciene; Shahryar Ghorbani; Iman Sahebi. Optimal Allocation of Gas Resources to Different Consumption Sectors Using Multi-Objective Goal Programming. Sustainability 2021, 13, 5663 .
AMA StyleIeva Meidute-Kavaliauskiene, Vida Davidaviciene, Shahryar Ghorbani, Iman Sahebi. Optimal Allocation of Gas Resources to Different Consumption Sectors Using Multi-Objective Goal Programming. Sustainability. 2021; 13 (10):5663.
Chicago/Turabian StyleIeva Meidute-Kavaliauskiene; Vida Davidaviciene; Shahryar Ghorbani; Iman Sahebi. 2021. "Optimal Allocation of Gas Resources to Different Consumption Sectors Using Multi-Objective Goal Programming." Sustainability 13, no. 10: 5663.
In digital era, blockchain technology has been known as the operational innovation that is rapidly joining the context of humanitarian supply chain and relief logistic. Hence, it has the potential to change the humanitarian context fundamentally, but there is still relatively little-published research aimed at improving the understanding of the different barriers of the blockchain adoption in humanitarian supply chain. The goal of this research is to present a comprehensive review of blockchain adoption barriers in the context of humanitarian supply chain management. An integrated approach using Fuzzy Delphi and Best-Worst method (BWM) has been used for analyzing the barriers. Based on the literature, 14 barriers of the blockchain adoption in humanitarian supply chain were identified. According to the Fuzzy Delphi result, 9 barriers were accepted. After that, the BWM calculated the importance of each barrier. The findings showed that regulatory uncertainty, lack of knowledge/employee training and high sustainability costs are the important barriers. This research provides useful guidelines for policy makers so that they can benefit from the results to optimize their solutions.
Iman Ghasemian Sahebi; Behzad Masoomi; Shahryar Ghorbani. Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain. Technology in Society 2020, 63, 101427 .
AMA StyleIman Ghasemian Sahebi, Behzad Masoomi, Shahryar Ghorbani. Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain. Technology in Society. 2020; 63 ():101427.
Chicago/Turabian StyleIman Ghasemian Sahebi; Behzad Masoomi; Shahryar Ghorbani. 2020. "Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain." Technology in Society 63, no. : 101427.