An application of fuzzy screening, fuzzy AHP and fuzzy Shannon's entropy on identification and prioritisation of effective factors in assessment of contractors in Fars Electric Power Distribution Company, Iran

2017 ◽  
Vol 10 (2) ◽  
pp. 194 ◽  
Author(s):  
Sahar Mohamadi ◽  
Abolghasem Ebrahimi ◽  
Moslem Alimohammadlou
Author(s):  
Laya Pouresmaeil ◽  
Maryam Baluchi

In this research three main effective factors,” Official Training”, “Delegation of Authority” and “Job Rotation” in Fars-No Cement Company and Shiraz Electric Power Distribution Company have been investigated and with comparing of the given data priority and matching of the factors will be shown. The statistical society of this research is 130 persons that all are the official employees of Fars-No Cement Company and 364 persons in Shiraz Electric Power Distribution Company and with using the Morgan table, number of 100 of the Fars-No Cement Company and number of 190 of the Shiraz Electric Power Distribution Company have been elected as sample under the Class Method. For gathering the information, it has been used the questionnaire with the 24 questions. The Validity of the questionnaire has been surveyed based on the scientific texts and its Reliability has been determined based on the index of Cronbach's alpha, 0.891. Then with using the software of SPSS analyze the information with taking T, Fredman, Anova and Tukey tests and with comparing between these two companies, revealed that Delegation of Authority, Official Training and finally Job Rotation are orderly effective factors on empowerment of human resource.


2017 ◽  
Vol 2017 (1) ◽  
pp. 297-299 ◽  
Author(s):  
Nasser Eskandari ◽  
Bahman Jamshidieini ◽  
Mojtaba Rafiei ◽  
Elham Abooei

2021 ◽  
Vol 2 (3) ◽  
pp. p12
Author(s):  
Dauda Moses ◽  
L. C. Ezugu ◽  
Onwuka Immaculater Akudo ◽  
Isaac John Ibanga

The main purpose of this study was to assess equipment maintenance practices for effective electric power distribution in Adamawa State by Yola Electricity Distribution Company. Three research questions and three null hypotheses were formulated to guide the study. The study adopted descriptive survey research design. The population of the study was 69 consisting of 46 technicians and 23 supervisors in Yola Electricity Distribution Company. The whole population was used for the study. The instrument for data collection was a structured questionnaire developed by the researchers titled “Assessment of Equipment Maintenance Practices for Effective Electric Power Distribution Questionnaire (AEMPELPDQ)”. The instrument was validated by three experts and a reliability of 0.89 was obtained using Cronbach Alpha reliability method. Mean and standard deviation was used to answer the research questions while t-test was used to test the null hypotheses at 0.05 level of significance. The finding of the study revealed that Yola Electricity Distribution Company adopts monthly routine maintenance on 18 out of the 31 items listed equipment while quarterly routine maintenance is carried out on 11 of the 31 items. Weekly maintenance is adopted for only two (2) of the equipment; Out of the 31 items listed, 22 of the items are semi-annually maintained; while eight (8) of the items are annually maintained and only one (1) of the equipment (distribution board) is weekly maintained. Based on the findings, YEDC should ensure adequate inspection and supervision of equipment to prevent unwarranted breakdown that may affect effective distribution of electrical power; YEDC should ensure at least monthly routine maintenance is carried out on the equipment available to ensure effective usage.


DYNA ◽  
2019 ◽  
Vol 86 (208) ◽  
pp. 199-205
Author(s):  
Anderson S Nunes ◽  
Jairo J O Andrade

Electric power distribution companies are facing a delicate moment. Privatizations, scarce resources, few investments and harsh penalties due to lack of quality force these companies to seek greater efficiency and control of their processes. Thus, making decisions based only on tacit knowledge and without a clear procedure, like the maintenance company that was part of this study, is not advisable. For this reason, this work aimed to develop a support tool for maintenance decisions, based on failure data and criticality analysis. The FMEA (Failure Mode and Effect Analysis) method was used to discover the riskiest failure modes, and the MAUT (Multi-Attribute Utility Theory) and the Mudge method were used to rank the main criteria used by experts when deciding which transmission line (TL) is in a more critical condition. As a result, the study proposed a tool that guides decision-making in a systematized, impersonal and collective knowledge-based manner for the specific situations encountered in TL maintenance. The results were approved and judged satisfactory by the members of a team of specialists from the maintenance sector.


2016 ◽  
Vol 3 (3) ◽  
pp. 17-23
Author(s):  
Paulo H Baumann ◽  
◽  
Tiago Milagres Miranda ◽  
Fabio Romero ◽  
Dário Takahata ◽  
...  

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