Informatics Publishing Limited

Amir Najafi ¹, Eisa Naji ²

Affiliations
1 Industrial Engineering Department, Islamic Azad University, Zanjan branch, Zanjan, IR
2 Industrial Management Departments, Islamic Azad University, Science and Research Saveh Branch, IR

Abstract

Excellence model can help the organization move forward in the right direction by providing solutions in the form of improvement projects. Lack of resources prevents organizations from implementing all improvement's projects simultaneously. Consequently, it seems necessary to make the optimal selection of the improvement projects proposed. According to the studies, unfortunately, there is no appropriate framework for the excellence model to prioritize improvement projects and make the optimal selection according to the organization's policies and strategies. In this research, a hybrid fuzzy multiple criteria decision making is combined with the balanced scorecard for the optimal selection. Research method is of descriptive and applied type, and field method is used to collect data. The total study population is 30 people. The sample size is equal to the population size. The spatial scope of the research, with a period of 2011 to 2013, is limited to Calcimin Co. whose business is in the field of production of mineral products. The data collection instrument is a researcher-made questionnaire or interview. Data analysis is based on an integrated model of research, and Matlab, and SPSS software were used for the calculations. Based on calculations on the stages of the proposed model, the priority improvement projects and the improvement project of "Create a comprehensive marketing information system in the field of commerce" were selected as the optimal improvement project that had the highest priority for implementation. Results show that the proposed model has a systematic fit with the defined procedures and known inputs.

Keywords

Balanced Scorecard, Europen Foundation For Quality Management, Multiple Criteria Decision Making, Fuzzy ANP, Fuzzy TOPSIS

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Amir Najafi ¹, Eisa Naji ²

Affiliations
1 Department of industrial engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran, IR
2 Department of Industrial management, Science and Research Saveh Branch, Islamic Azad University, Saveh, Iran, IR

Abstract

Background/Objectives: Todays’ main activities in any company is identifying the development sections and defining good projects, and finally ranking them based on the companies’ constrains. Methods/Statistical analysis: A FMCDM approach is combined with the BSC for managing and improving projects in the EFQM model. The population of research is 30 persons, and they were selected by random sampling method from 2013 to 2014 in the Calcimine Company. The data collection instrument was based on the interview and questionnaire and based on the statistical and decision making methods in the Spss v19, Matlab 2013 and excel 2103. Findings: Management Dashboards in the production lines and strategic Planning were achieved high score between other projects. Applications/Improvements: We improved a FMCDM method based on the BSC and Efqm Models. The applications of method have selecting the improvement points and defining projects in the project based organizations.

Keywords

ANP, BSC, EFQM, ELECTRE, Fuzzy Multiple Criteria Decision Making, TOPSIS.

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Ali Akbar Arjmand Hashjin ¹, Amir Najafi ²

Affiliations
1 Young Researchers and Elite Club, Zanjan Branch, Islamic Azad University, Zanjan, IR
2 Department of Industrial Engineering, Zanjan Branch, Islamic Azad University, Zanjan, IR

Abstract

Security is one of the most important concerns of the basic capabilities of mobile networks. Black hole attacks are one of the prevalent attacks with which routing protocols of mobile network s encounter. In this paper, a method has been presented to deal with those attacks, at same time considering the quality of service. In this method, packets are sent through configured reservation paths. Simulation is carried out in opnet and the results revealed that the proposed algorithms yield good results in terms of packet delivery ratio and throughput when compared with the Ad hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR) protocol. Throughput parameters after applying proposed technique, show 6.51 percent increase for AODV, and 61.86 percent increase for DSR. Also the packet delivery ratio shows 96,68 increase for AODV while it is almost zero percent for DSR. Of course it must be noted that some increase has been observed in sending and receiving that will completely be explained in simulation part.

Keywords

AODV, Black Hole Attack, DSR, Mobile Ad hoc NETwork (MANET), OPerations NETwork (OPNET), Quality Of Service (QOS).

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