A. Brink MSc


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Optimizing data collection for cost-effective control of assets 

The aim of this dissertation is to demonstrate the possible, different ways of data collection in relation to management of cost effectiveness during life cycle. The most important aim is to point out an easy (less complicated), reliable and efficient way of data collection.

Two very important motives to write this thesis are:

  1. A proven lack of data quality during data management activities;
  2. The Stavenuiter (2002) case study, which clearly shows that it is difficult to obtain reliable system data. 

The intended objectives are translated into the sub questions and are related to the methods of collecting data for cost effectiveness and its particular details about quality/cost of collecting data and effectiveness for management control.

Sub questions
The sub questions are formulated as follows:
Which companies are familiar with ILS (Integrated Logistic Support), LCM (Life Cycle Management) and CE (Cost Effectiveness)?

  • How can quality of cost data and performance data be measured?
  • Which methods are used in the researched companies to generate cost- and performance data?
  • Are these methods appropriate and cost effective?
  • Why are these methods not appropriate and cost effective?
  • Is there a correlation (and if so, what is the relation) between cost of data collection and quality of data?
  • What are alternative methods to generate reliable cost- and performance data?
  • Which factors do influence reliability of data significantly at the point of registration?
  • Which opportunities are available to optimise the generation of appropriate, reliable cost effectiveness data?

Research approach
An elaborate research at the field of data quality on a broad scale is needed in literature and companies with similar ILS/LCM-view as used in Royal Netherlands Navy/Maintenance Establishment (RNLN/ME), i.e. supporting and maintaining capital assets, especially maritime objects. The purpose is to get information about the ways and possibilities of collecting necessary and high-quality data in the most cost effective way. Primarily, a literature review was performed. All existing information on a broad scale on the field of data management, data quality, cost effectiveness etc. was researched. Secondly, after literature review the selection of companies to interview was started. Maintenance, repair and logistic support of capital assets (aviation, ship, tank etc.) are essential elements.

A quick scan based on existing knowledge of comparable companies shows that there might be a little number of companies; in the worst case none, which are working with LCM/ILS such as RNLN/ME does. This should be taken into account in the research methodology. All companies do need management information, the same or different does not matter. The goal of the research is to define or demonstrate the possible, different ways of data collection in relation to manage LCM or cost effectiveness during life cycle. When a company does not manage cost effectiveness, but another key performance indicator (KPI), it is relevant to know how the company deals with data collection and reliability or quality of data in that particular area. Several research methods are available (Baarda et al, 1997). One of them is participating observation which is not chosen, because this requires being present with data collection activities.

The selected companies were approached by means of e-mail and/or telephone in order to get an e-mail address from a relevant interviewee for performing the objected research via Internet. The interviewees are responsible for, involved with or wellinformed about collection and registration of the data. Pre-structured interview questions are selected as primary research method. The interviews were arranged as much as possible in accordance with the SPIE-method (NIVE, 1999). The questions have a relation with the research topic in the following category:

  • Situation
  • Problem
  • Implication
  • Efficiency

Finally, the interviews were carried out via Internet (Surveyworld.net) in order to get information.

De Thesis kunt u hier bekijken. (EN)

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