Abstract
As approaches and tools for process and enterprise modelling are maturing, these techniques are being taken into use on a large scale in an increasing number of organizations. In this paper we report on the use of process modelling in connection to the quality system of Statoil, a large Norwegian oil company, in particular, on the aspects found necessary to be emphasized to achieve the appropriate quality of the models in this organization. Based on the investigation of usage statistics and user feedback on models, we have identified that there are problems in comprehending some of the models. Some of these models has poorer syntactic quality than the average syntactic quality of models of the same size. An experiment with improving syntactic quality on some of these models has given mixed results, and it appears that certain syntactic errors hinder comprehension more than others.
Highlights
Statoil is a Norwegian oil company with more than 23000 employees and around the same number of external contractors
In this paper we report on the use of process modelling in connection to the quality system of Statoil, a large Norwegian oil company, in particular, on the aspects found necessary to be emphasized to achieve the appropriate quality of the models in this organization
This paper presents some of the results from an ongoing case study on the use of enterprise process models in Statoil, in particular, looking upon model usage, quality issues of existing models, and how better syntactic quality can influence the pragmatic quality of models
Summary
Statoil is a Norwegian oil company with more than 23000 employees and around the same number of external contractors. The enterprise model functions as a common point of reference for the entire organization, ensuring the quality of a large number of work processes and communicating requirements and best practices throughout the company. This paper presents some of the results from an ongoing case study on the use of enterprise process models in Statoil, in particular, looking upon model usage, quality issues of existing models, and how better syntactic quality can influence the pragmatic quality (comprehension) of models. This extends the work presented in [8] that only reported results from investigating one model.
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