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Table of contents
1 INTRODUCTION
1.1 BACKGROUND
1.2 PROBLEM FORMULATION
1.3 PURPOSE AND RESEARCH QUESTIONS
1.4 SCOPE OF THE THESIS
1.5 OUTLINE OF THE THESIS
2 RESEARCH METHODOLOGY
2.1 RESEARCH PROCESS
2.1.1 CASE STUDY METHOD
2.2 DATA COLLECTION
2.2.1 THEORETICAL DATA COLLECTION
2.2.2 EMPIRICAL DATA COLLECTION
2.3 DATA ANALYSIS
2.4 VALIDITY AND RELIABILITY
3 THEORETIC FRAMEWORK
3.1 PRODUCTION DEVELOPMENT
3.2 INDUSTRY 4.0
3.3 DATA-DRIVEN DECISION MAKING IN PRODUCTION DEVELOPMENT
3.3.1 CHALLENGES FOR DATA-DRIVEN DECISION MAKING
3.3.2 ENABLERS FOR DATA-DRIVEN DECISION MAKING
4 EMPIRICAL FINDINGS
4.1 INTRODUCTION TO THE STUDIED CASE
4.2 CURRENT DECISION MAKING PRACTICES
4.2.1 SHOP FLOOR MANAGEMENT
4.2.2 PRODUCTION MANAGEMENT
4.2.3 EXECUTIVE MANAGEMENT
4.3 OPPORTUNITIES OF DATA-DRIVEN DECISION MAKING
4.3.1 SHOP FLOOR MANAGEMENT
4.3.2 PRODUCTION MANAGEMENT
4.3.3 EXECUTIVE MANAGEMENT
5 ANALYSIS
5.1 CHALLENGES FOR DATA-DRIVEN DECISION MAKING IN PRODUCTION DEVELOPMENT
5.1.1 PERSPECTIVES AND ATTITUDES
5.1.2 PROCESSES FOR QUALITY DATA
5.1.3 TECHNOLOGY
5.1.4 PROCESSES FOR DECISION MAKING
5.2 ENABLERS FOR DATA-DRIVEN DECISION MAKING IN PRODUCTION DEVELOPMENT
5.2.1 PERSPECTIVES AND ATTITUDES
5.2.2 PROCESSES FOR QUALITY DATA
5.2.3 TECHNOLOGY
5.2.4 PROCESSES FOR DECISION MAKING
5.3 MATURITY OF DATA-DRIVEN DECISION MAKING IN PRODUCTION DEVELOPMENT
5.3.1 LEVEL 0 – NO DATA-DRIVEN DECISION MAKING
5.3.2 LEVEL 1 – VISIBILITY AND TRACEABILITY
5.3.3 LEVEL 2 – TRANSPARENCY
5.3.4 LEVEL 3 – PREDICTABILITY
6 PROPOSING A FRAMEWORK
6.1 CHALLENGES FOR ACHIEVING DATA-DRIVEN DECISION MAKING
6.2 ENABLERS FOR ACHIEVING DATA-DRIVEN DECISION MAKING
6.3 MATURITY LEVELS OF DATA-DRIVEN DECISION MAKING
6.4 APPLICATION OF THE FRAMEWORK
7 CONCLUSIONS AND RECOMMENDATIONS
7.1 CONCLUSION
7.2 RECOMMENDATIONS FOR FUTURE RESEARCH
8 REFERENCES
9 APPENDICES
9.1 APPENDIX 1 – INTERVIEW GUIDE ROUND ONE
9.2 APPENDIX 2 – INTERVIEW GUIDE ROUND TWO
9.3 APPENDIX 3 – INTERVIEW GUIDE ROUND THREE
9.4 APPENDIX 4 – WORKSHOP ONE: AGENDA
9.5 APPENDIX 4 – WORKSHOP TWO: AGENDA
