Power Holding Company of Nigeria (PHCN), responsible for generating,
transmitting and distributing electricity in Nigeria is being faced with an apparent
huge maintenance problem which seemingly contributes greatly to the power
demand problem of the country.
This apparent maintenance problem is investigated by surveying its root causes
through interviews, questionnaires and data gathered from selected case studies.
Questionnaires were used scientifically with a confidence level of 95% and
interval of +-5% and +-4.4% to establish a high level of integrity on data
gathered. Findings and deliverables are compared to South Africa’s power utility
company Eskom for validation of the final deliverable.
With the findings of this survey, the research problem was overcome by
developing a new maintenance strategy and work authorization system for the
company while making some recommendations on the training being given to its
maintenance personnel.
The New strategy called ‘Utility Availability Centered Maintenance Strategy’ or
UACMS is presented in the form of a flow chart/ block diagram with its different
sections fully explained. It mainly combines preventative, predictive and
corrective maintenance strategies alongside other modern maintenance
techniques. It’s all linked to a computer database support to ensure high
effectiveness. Furthermore, the work authorization system called ‘Internal Task
Authorization form’ serves to ensure responsibility in task execution within the
company.
During the course of this research, an excessive application of corrective
maintenance strategy, lack of root cause analysis and unavailability of computer
based applications were discovered in PHCN. / Thesis (M.Ing. (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2009.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nwu/oai:dspace.nwu.ac.za:10394/2582 |
Date | January 2008 |
Creators | Ewulum, Ogemdi Kilian |
Publisher | North-West University |
Source Sets | South African National ETD Portal |
Detected Language | English |
Type | Thesis |
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