J.A. Bosaans MSc


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HOW TO REDUCE THE AMOUNT OF NON-CORRECT INFORMATION IN SALINO (the Logistics Information System)

November 2012
Scientific Supervisor      : Prof. dr. W.J.H. van ‘t Spijker


The Navy implemented a powerful integrated information system to collect valuable materiel logistic data generated throughout the entire Navy, which after being processed becomes useful information that supports the logistical managerial decision making process at several levels and stores historical data for future use. During a 12-year period of operation, some flaws have been detected. Now, when there is the commitment to achieve cost-effective management of assets, it is necessary to ensure the information delivered by the system be free of errors. The research determines the sources of main non-correct information, identifies its causes, and recommends actions to reduce the amount of errors, estimating the costs and benefits of its implementation.

 The research has been started with a review of SALINO to learn its philosophy, structure, capabilities, functionalities, and general characteristics. Then, a training account was obtained to get access to the system. In order to learn about the system the author attended a training course on SALINO at the Academia Politécnica Naval (APN), between March and April 2012.

The SALINO module is part of a one semester course, Job Management, given to students in second year of the Technical Mechanics specialty, in order to develop the competences to act as SALINO users to the future graduates of APN. This activity was very valuable for the researcher because it allowed him to acquire the knowledge of the system, and also it was important to become familiar with the environment that people who enter data into SALINO are faced with in order to have a closer experience about that feeling.

 
The next step was to investigate the lack of usefulness of the information delivered by SALINO. This by searching on the system and the users of the organization. Users of five directorates were asked their opinion about the most important data quality dimension to support in proper form their decision making processes in their jobs and 87,5 % of them answered that Accuracy is the most relevant, followed by Relevancy with 7,8% Accessibility with 3,1% and Representational with 1,6%.

 
In the search for causes of this amount of errors there were detected the five most relevant on the user opinions and they turned out to be:

1.       Lack of continuum training

2.       Poor motivation

3.       Poor interface design

4.       Extended text

5.       Navigation through screens.


The following actions are recommended:

1.       to update and rationalize the rules for entering data to SALINO;

2.       simplify the interface, trying to automate more the task.

These two actions should be faced through a software development project that after the classical phases of specifications requirements and analysis could construct and implement a modernization to the system that was designed and implemented almost twenty years ago.

De Thesis kunt u hier bekijken (EN).

De Thesis presentatie kan hier bekeken worden (EN). 

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