paria samadi parviznejad

The main purpose of this paper is a dynamic analysis of oil and gas exports and sales income in 2050. A dynamic system is needed to forecast the export and sales of oil in the future, which requires considering the cause-and-effect relationships between the variables affecting the main research problem.

This paper is applied in terms of purpose, which uses dynamic system modeling to create the model.

Two positive causal loops of oil and gas sales growth and oil and gas field capacity utilization growth, and three negative causal loops of capacity limitations in oil and gas fields, limitations in oil and gas field capacity utilization, and the third was created with the limitation of access to oil resources. Also, three optimistic, moderate, and pessimistic scenarios were simulated in the dynamic system model. In the first scenario, the simulation was performed based on the changes in the oil price parameter in the future. In this scenario, oil and gas exports grew by 38%. In the second scenario, the income from exports showed an eight-fold growth optimistically. Finally, in the pessimistic scenario, the graphs showed that the values of the state variables remained constant. Finally, the validation was done using the analysis of different scenarios for the dynamic system model.

Originality/Value:

 In this paper, in addition to the dynamic analysis of the factors influencing oil and gas industry variables, the time effects of these changes have also been considered. Previous studies have only used economic development variables to predict the future of the oil and gas industry. In this paper, the values of other variables, such as production capacity, existing reservoirs, and market risk, are considered as the main variables in the dynamic model for scenarios in the time horizon of 2050.

Today, due to international sanctions, fierce competition, the prevention of fraud, and competition between goods producing units, the importance of data and information networks has led to pushing goods-producing units to use Internet of Things tools. Supply chain management systems have widely developed smart tools as a platform for the production and storage of big data, facilitating communication between various components and enhancing their overall security. This paper aims to introduce a mathematical model that utilizes Internet of Things tools connected to the blockchain, leveraging artificial intelligence (AIoT) to reduce costs, prevent fraud, and enhanc supply chain security. Considering the importance of medicine fraud, a mathematical model was implemented using artificial intelligence algorithms in a real case study of the pharmaceutical supply chain. The results of solving the mathematical model showed that Internet of Things tools have led to 8.5% profitability in operating costs related to fraud detection and drug security, despite the increase in total costs. Also, the numerical examples showed that the gray wolf algorithm has a higher efficiency in achieving optimal results. The average time to solve the mathematical model with genetic algorithm is 106.46 seconds, with particle swarm optimization algorithm is 111.39 seconds, and with gray wolf algorithm is 123.64 seconds .Gray wolf algorithm has resulted in a 0.5% improvement in total supply chain costs with a 16% increase in resolution time. The proposed model can be useful to prevent fraud and increase the security of Iran's food or pharmaceutical supply chain.

This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC) and identifies the strengths and weaknesses of this system. Since this paper is a review study, the papers published from 2014 to June 2021 have been studied and 93 articles related to the field of IoT applications in the FSC have been reviewed. By reviewing the literature, six basic applications obtained for this type of network include transportation procurement, food production, resource/waste management, food safety improvement, food quality maintenance, and FSC transparency. Clustering is used to achieve these. Cluster analysis suggests that researchers should pay more attention to IoT applications for product quality and transparency throughout the supply chain, and consider IT-based systems seamlessly at each level of the supply chain.

Eenterprise architecture is a concept for organizing and classifying relevant information in a field that the framework is used as a reference for preparing layers of Enterprise architecture. Due to conflicting functions, lack of proper coordination between components, lack of proper integration and redundant processes in organizations; Infrastructure engineering and enterprise architecture is essential and vital for organizations to operate with maximum efficiency. In this research, Zachman framework has been used for engineering the technological infrastructure of the administrative and public affairs department of the East Azerbaijan ACECR. The present study is applied in terms of purpose and survey-analytical in terms of data collection method. The statistical population is all the personnel of East Azerbaijan ACECR. The statistical sample of the representatives introduced in the East Azerbaijan ACECR units is. This research has been done in 4 phases. In phases 1 and 2, the first and second layers of enterprise architecture have been completed by identifying processes, documenting and modeling processes through specialized interview sessions. In Phase 3, during the preparation of the enterprise architecture maturity questionnaire, the impact layer of data and information layer, information technology and business through Smart PLS software is presented. In the final phase, the Zachman model presented for managing administrative and public affairs, which the main processes of the organization are in, and has more communication with other units, in the field of planning, the organizational model and the system model. The results of engineering the technology infrastructure of the organization are to provide the desired strategies in order to improve the current situation. Also, by examining the effect of data and information layer, information technology and business layer on the state of architectural maturity of the organization, information technology with a path coefficient of 0.227, access to information and data with a path coefficient of 0.399 and business processes were observed. Working with a path coefficient of 0.367 has a positive and significant effect on organizational maturity. Finally, it can be said that the implementation of enterprise architecture in the University Jihad Organization improves the level of effective indicators in management and technology.