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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Applied Research on Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: DEMATEL,Different solvency monitoring systems,Iran Insurance Company,Analytic Network Process (ANP)
- چکیده:
- چکیده انگلیسی: The Bankruptcy of insurance companies compared to companies in other industries can have a more devastating impact on the customers of this industry and on society as a whole; because the insurance company's bankruptcy is equal to the risk of the economic presence of the insurer and third parties. Severe outcomes of insurance company's bankruptcy have made financial monitoring institutions to design systems for evaluation and supervision of insurance companies’ solvency in order to reduce bankruptcy risk of these companies. Inappropriate design of these systems may transmit incorrect signals to the insurance companies, lawmakers, and insurers and would have irreversible effects. Thus, the current research aims at prioritizing different solvency monitoring systems of Iran Insurance Company using Analytic Network Process (ANP). This is an applied research in terms of purpose, and it is descriptive - analytical research in terms of data collection method. The identified indexes for evaluation and monitoring the insurance companies’ solvency include the quantitative computational aspects, flexibility, and qualitative aspects. Following data collection using the network analysis software, which was used for advanced hierarchy analysis and DEMATEL, which was used for ranking qualitative, quantitative aspects, and flexibility, it is concluded that the quantitative computational index has the highest impact, and the qualitative index has the lowest impact on the solvency of Iran Insurance Company.
- انتشار مقاله: 16-06-1396
- نویسندگان: Hamzeh Amin-Tahmasbi,Seyedeh Samaneh Shariatmadari
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Cessation of activities,meta-heuristic methods,Multi-mode execution,Multi-objectives particle swarm algorithm,Resources-constrained project scheduling
- چکیده:
- چکیده انگلیسی: The Multi-Mode Resource Constrains Project Scheduling Problem (MRCPSP) tries to find the best sequence of activities in a manner that involves more than one type of operating mode and in the presence of resource constraints, project’s precedence constraints must be satisfied. In each execution mode, the amount of resources and execution time are specified and different. In The Preemptive multi-mode Resource Constraints Project Scheduling Problem (P-MRCPSP), each operating mode activity can be interrupted and restarted at any time without any extra cost. In this paper, minimizing the completion time along with maximizing the current net value of the project in the P-MRCPSP are considered. After solving the problem by using Epsilon limits method, according to NP-hard problem and multi-objective model, multi-objective particle swarm optimization (MOPSO) has been developed to achieve optimum scheduling. In order to evaluate the proposed method’s efficiency, results have been compared to non-dominance genetic algorithm sorting (NSGAII) based on designed indicators. The Taguchi method has been used in experimental design, to adjust these two algorithms’ parameters. The results of the model solution show the strength of MOPSO algorithm.
- انتشار مقاله: 09-08-1395
- نویسندگان: Hamzeh Amin-Tahmasbi,Allahyar Daghbandan,Roya Bagherpour
- مشاهده