Ali Mohtashami; Amir Hossein Niknamfar
Abstract
Hazardous materials which are materials due to their chemical and physical properties impose significant risk to the safety of people and the environment. It's more complex routing transport of such material than normal materials. The Combination of the two subjects as the problem of locating and routing, ...
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Hazardous materials which are materials due to their chemical and physical properties impose significant risk to the safety of people and the environment. It's more complex routing transport of such material than normal materials. The Combination of the two subjects as the problem of locating and routing, it has created unified system to locating- routing problems. These problems determined optimal number and location of facilities at the same time and also set the optimal number of vehicles and their routes. The purpose of this study was design a network for the transportation of hazardous materials and includes supply levels, distribution (hub) and customers. Hence, it presented a mathematical model in order to minimizing costs and risk simultaneously. Hazardous materials sent from supplier to the hubs and deliveries to customers from there via routing by road transportation. It should be mentioned that in proposal model the hubs been locating In order to validate the model, prepared code GAMS In software and for the exact solution, sample problems with various dimensions were produced in the form of smart and random. For this purpose, was written an algorithm design in Matlab software. According to the problem was NP-Hard, presented a hybrid algorithm based on simulated annealing and genetic algorithms to solve large-scale. At the end of research the proposed algorithm were compared with the results of exact solution.
Reza Yousefi Zenouz; Akbar Hassanpoor; Parisa Mousavi
Volume 13, Issue 37 , July 2015, , Pages 161-185
Abstract
Risk is inherent and inseparable part of life and business. Always uncertainty condition arising from incomplete information and data or ungovernable variables, associated with opportunities and threats.Nowadays many organizations and companies have relied heavily on information systems and information ...
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Risk is inherent and inseparable part of life and business. Always uncertainty condition arising from incomplete information and data or ungovernable variables, associated with opportunities and threats.Nowadays many organizations and companies have relied heavily on information systems and information security management has transformed to an important organizational topics. And due to the fact that the use of information systems security may be created some risks, an effective risk management process, will result in a successful security program. Risk management includes risk identification process, risk assessment and risk-reduction efforts to acceptable levels. The objective of this research is to prioritize information security risks, in order to provide a mechanism to enhance the security of enterprise information. To this end, a model has been presented for organizational information security risk assessment using the fuzzy AHP and Bayesian networks. In the assessment process, risks impact by fuzzy AHP and risks probability by Bayesian networks have calculated and finally The risks Prioritized. The findings suggest In the case study, the risk of lack of knowledge and lack of proper training in the field of information security, have the highest priority and attention is needed most
Farzin Rezaei; Hadi Haqiq
Volume 9, Issue 25 , July 2012, , Pages 133-159
Abstract
The objective of this study is to investigate the impact of industryconcentration on the average stock returns, and proposing a model toexplain this relationship. Explanatory variables are Herfindahl-Hirschman Index of industry concentration, industry size (marketequity), book-to-market ratio, leverage, ...
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The objective of this study is to investigate the impact of industryconcentration on the average stock returns, and proposing a model toexplain this relationship. Explanatory variables are Herfindahl-Hirschman Index of industry concentration, industry size (marketequity), book-to-market ratio, leverage, past 1-year's industry returnand systematic risk (beta); also the industry average return is taken asthe dependent variable. With respect to the concentration index is anindustry specific, all of the dependent and independent variables inthis research are evaluated in industry level. The study covers 1380-1386 and uses 31 manufacturing industry-year observations. Forexamine the research hypothesizes, we use the Panel Data techniquewith Fixed Effect and Generalized Least Squares (GLS) method.Results indicate that in Tehran Securities Exchange there is significantrelationship between industry concentration, size, book-to-marketratio, systematic risk and average stock returns. On the other hand,leverage and past 1-year's industry returns are not associated withannual industry returns.
Laya Olfat; Farzaneh Khosravani; Reza Jalali
Volume 8, Issue 19 , December 2010, , Pages 147-163
Abstract
Risk is a potential which causes problems in the implementation of project and fulfillment of objectives. Risk is the innate part of all the projects and it is impossible to eliminate it completely though it can be managed effectively in order to reduce its effects on achieving the project’s objectives. ...
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Risk is a potential which causes problems in the implementation of project and fulfillment of objectives. Risk is the innate part of all the projects and it is impossible to eliminate it completely though it can be managed effectively in order to reduce its effects on achieving the project’s objectives. It may occur in the future or not, but its occurrence at least affects one objective including area, time, costs or quality. Therefore identification, analysis and ranking of risk would play a significant role in the fulfillment of project. In this paper, we applied PMBOK Standard for identification of project risk for the construction of flyover junctions in Boushehr Province, and then we used Fuzzy AIIP Technique and Fuzzy TOPSIS Technique for ranking of risk.
