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Parameters Affecting Automation

Danielsson, Kristoffer (2012) MIO920
Production Management
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
... (More)
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 (Less)
Please use this url to cite or link to this publication:
author
Danielsson, Kristoffer
supervisor
organization
course
MIO920
year
type
M1 - University Diploma
subject
keywords
Automation projects, LEAN software development, CMMI-DEV, PMMM, Project management, Efficiency, TQM-projects
other publication id
12/5414
language
English
id
2857051
date added to LUP
2012-07-02 10:43:32
date last changed
2012-07-02 10:43:32
@misc{2857051,
  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},
  author       = {Danielsson, Kristoffer},
  keyword      = {Automation projects,LEAN software development,CMMI-DEV,PMMM,Project management,Efficiency,TQM-projects},
  language     = {eng},
  note         = {Student Paper},
  title        = {Parameters Affecting Automation},
  year         = {2012},
}