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Authors:A. Gounni, N. Rais, M. Azzouzi Idrissi Pages: 1 - 11 Abstract: This paper develops a car-following model, taking into account the effect of driving memory on driver anticipatory behavior. Changes in driving headway and short-term driving memory are introduced as influencing factors in driver anticipatory behavior. First, we use the linear stability to study the efficiency of the model and the stability conditions. Then via numerical simulation, all three phases of traffic evolution are studied separately. The simulation results show that taking into account the effect of driving memory on driver anticipatory behavior has a positive influence on driving behavior. In fact, drivers can reduce the speed of their vehicle faster and more easily. Thus, it can help reduce fuel consumption and improve road safety in the three phases of traffic evolution. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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Authors:L. keshvardoost-Masooleh, F. Keshavarz-Gildeh Pages: 12 - 23 Abstract: Supply chain sustainability along with profitability and social and environmental requirements are among the most widely discussed topics of the organizational management literature. Supply contracts are useful tools for improving coordination between various members of a sustainable supply chain. The efficiency evaluations conducted with the Data Envelopment Analysis (DEA) fail to consider the potential impacts of these contracts in sustainable supply chains. This paper evaluates and compares the efficiency of a three-stage sustainable supply chain and the efficiency of each of its stages before and after introducing a number of contracts to the relationship between stages. These evaluations and comparisons are performed to determine the impact of contracts on supply chain efficiency. To illustrate the performance of the proposed method, it is applied to an example of nine tomato paste supply chains. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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Authors:Roza Dastres, Mohsen Soori Pages: 24 - 37 Abstract: The advancement of technology in human life has resulted in multiple forms of contamination in the atmosphere, which has thrown off the environment's balance and proportionality. Today, one of the most critical issues in environmental economics is the role of information and communication technology (ICT) in reducing air pollution, which has impacted various aspects of human life in recent years. Environmental research and its application to lawmakers and the general public can benefit from the use of information and communication technology. The use of ICT can reduce dependence on environmental resources in order to decrease the environmental pollution due to the Improper usage of natural resources. Applications of the ICT systems in the environmental protection is presented in the study to improve the quality level of monitoring and protections systems of the environment from the pollutions. The effects of ICT systems in the climate change, forest Degradation, hurricanes and typhoons anticipations, smart waste management systems, energy supply efficiency and tourism industry in terms of environmental protection systems is discussed in the study to suggest new ideas in the research filed. As a result, the research filed can be moved forward. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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Authors:L. V. Nozadze Pages: 38 - 45 Abstract: In our modern era there are many people who want to organize their own business, to open their own enterprise that can be competitive and make significant profits. How a business organization is planned depends on its future destiny. People need to consciously define the goals of their actions and act on resources with a direct and indirect impact on environmental conditions. The firm's internal planning is the process of scientifically substantiating the strategic and tactical goals of the economic entity, choosing the optimal ways to achieve them according to the available resources. Planning is a special form of activity that aims to develop a system of technical and economic indicators of the organization and to substantiate its development rates, proportions and trends. The article presents the results of studies carried out in this direction on the example of the Samtskhe-Javakheti region of Georgia. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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Authors:Kamlesh Kumar Shukla, Rama Shanker Pages: 46 - 59 Abstract: In this paper, Truncated Ram Awadh distribution, a doubly truncated version of Ram Awadh distribution, has been proposed. Its raw moments and central moments have been given. The behaviors survival function, hazard rate function, mean, variance, coefficient of variation, skewness, kurtosis and index of dispersion for varying values of parameters have been explained graphically. Maximum likelihood method has been used to estimate the parameter of proposed model. Applications of the proposed distribution have been explained with two real lifetime data and the goodness of fit has been compared with several truncated and un-truncated lifetime distributions. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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Authors:Priyanka Paul, Md. Farhad Hossain, Md. Rakib Hasan Sarkar, Lakshmi Rani Kundu, Partha Chakraborty Pages: 60 - 67 Abstract: Rainfall prediction is significant and necessary for countries that have based on the agricultural economy like Bangladesh. This paper studies on different machine learning techniques to predict observed Rainfall using meteorological data of Bangladesh Weather Station for the period of January 1956 to December 2015. Different machine learning techniques such as Support Vector Machine (SVM), Naive Bayes (N.B.), Decision Tree (D.T.), and Neural Network (N.N.) were performed three weather stations in the Northeast region: Mymensingh, Sylhet, and Srimangal of Bangladesh. Amazingly, the outcome shows the most available classifier to be Support Vector Machine because of its highest F-measure. Adequate amounts of data have been provided, predicting rainfall using machine learning techniques. PubDate: 2021-12-30 Issue No:Vol. 35, No. 1 (2021)
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