Parameters Affecting Automation

Abstract: Background & Problem: The increased global competition has forced companies to perform project faster and better and minimising resource utilisation. This emphasis on efficiency is recognised by Tetra Pak Processing systems. Projects are complicated temporary endeavours, by exploring the efficiency decreasing parameters knowledge about how to increase efficiency can be gained. Purpose: The purpose of this thesis is to find the parameters affecting automation engineering efficiency. As the parameters are found suggestions on minimizing impact of the parameters are made. An evaluation model will be created from in which project affect can be analysed. Method: This project uses a modified action research approach with and abductive research strategy. In addition an internal benchmarking between projects are conducted. The data collection is done via interviews and studying archive material Thesis Results and Conclusion: Data gathered during the initial phase of the project provided a first set of parameters which were to be assessed in an evaluation model, these parameters included, Functional description, Template Plant Master and Customer Value. As the model was later used and the parameters evaluated and given scores the result was that the top 3 affecting parameters in automation projects was; Modules, Template Plant Master and Customer Value. Conclusions drawn from the study are that there are two different areas of affecting parameters, first the ones affecting the projects in a direct context, secondly parameters affecting in an organisational aspect. The most critical sub area is the tools and templates which prevent the re usage of code and also decreases efficiency and productivity within projects