scholarly journals Investigating the Effectiveness and Influence of Factors Affecting Human Resources Productivity by Multi Criteria Decision Making Methods (Case Study of East Azarbaijan Electric Power Distribution Company)

2020 ◽  
Vol 9 (4) ◽  
pp. 83-99
Author(s):  
rahim dabbagh ◽  
diba Raeisi ◽  
Sane alikhanlo ◽  
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10.28945/2340 ◽  
2016 ◽  
Vol 11 ◽  
pp. 001-016 ◽  
Author(s):  
Babak Teimourpour ◽  
Vahid Eslami ◽  
Maghsoud Mohammadi ◽  
Milad Padidarfard

Helping a company organize and capture the knowledge used by its employees and business processes is a daunting task. In this work we examine several proposed methodologies and synthesize them into a new methodology that we demonstrate through a case study of an electric power distribution company. This is a practical research study. First, the research approach for creating the knowledge map is process-oriented and the processes are considered as the main elements of the model. This research was done in four stages: literature review, model editing, model validation and case study. The Delphi method was used for the research model validation. Some of the important outputs of this research were mapping knowledge flows, determining the level of knowledge assets, expert-area knowledge map, preparing knowledge meta-model, and updating the knowledge map according to the company’s processes. Besides identifying, auditing and visualizing tacit and explicit knowledge, this knowledge mapping enables us to analyze the knowledge areas’ situation and subsequently help us to improve the processes and overall performance. So, a process map does knowledge mapping in a clear and accurate frame. Once the knowledge is used in processes, it creates value.


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.


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