Product category:
Asset Management and maintenance planning
News Release from: Maintenance Management | Subject: Dissertation
Edited by the Processingtalk Editorial
Team on 31 May 2007
Dissertation on data collection for
maintenance
Data collection and its use in the maintenance environment today: a dissertation from Maintenance Management stresses the need for good data collecting techniques and use of the collected data
Data is involved in most of our planning, execution and decision making in maintenance and business Data collection and its usage are also a major problem in the maintenance world
This article was originally published on Processingtalk on 16 May 2005 at 8.00am (UK)
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Even good data collecting methods do not ensure good use of that data.
Unfortunately this also works in reverse as poorly and inaccurately collected data is often used to support important decisions in maintenance and business.
The intention of this dissertation is to introduce good data collecting techniques and ways to use collected data to further advance maintenance management and maintenance practices so that the information from the data will support business objectives.
Deciding what data to collect is the foundation of good decision support derived from information that are extracted from it.
What data is collected is based on the business that is applicable in each case as well as the emphases of the company, i.e what has the most affect on the business objectives.
Understanding why the company needs to collect the data and how to retrieve information from that data is as important as the decision to collect the data.
Without understanding why one needs the data, one cannot justify the need for collecting it.
The data needs to be collected in a structured way so that it can be understood how it affects maintenance management, the business and where the data comes from.
This is the focus of this dissertation.
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