The Higher Maturity Level of the Development Processes Through Adopting Key Performance Indicators (KPIs) and Lean Thinking in the Automotive Industry

Contents

1. Introduction

1.1 Motivation

1.2 Problem Statement

1.3 Research Objectives and Questions

1.4 Significances of the Study

1.5 Structural Outline

2. Literature Review

2.1 Automotive SPICE and Other Maturity Models

2.1 Overview of Automotive SPICE

2.1.1 Process Reference Model (PRM)

2.2.2 Measurement Framework

2.2.3 Process Assessment Model (PAM)

2.3 Process Performance Measurement and Management

2.3.1 Definition of Key Performance Indicators

2.3.2 Performance Measurement Frameworks

2.3.3 What to measure?

2.3.4 Data Automation for Performance Measurement

2.4 5 Whys Approach

2.5 Lean Thinking

2.5.1 Lean Software Development

2.6 Rationale for Integrating the Automotive SPICE, KPIs, Lean Management, and the 5 Whys Approach

3. Research Methodology

3.1 Research Design

3.2 Selection of the Case

2.3 Sampling

2.4 Data Collection Methods

2.4.1 Integrative Literature Review

2.4.2 Interviews

2.4.3 Elmos’ Documents

2.4.4 Observations

2.5 Data Analysis Technique

2.6 Validity and Reliability of the Research

2.7 Ethical Considerations

4. Results and Discussion

4.1 General Overview of Elmos Product Emergence Process (ePEP)

4.2 Evaluation of the Compliance of ePEP with the Automotive SPICE Model

4.3 Process Performance Measurement and Management

4.3.1 Defining Performance Objectives for Development Projects and Ensuring Alignment with the Company’s Strategic Goals.

4.3.2 Setting Targets and Thresholds

4.3.3 Developing Key Performance Indicators for the Development Processes.

Performance Indices for Forecasting Project Schedule and Cost

4.3.4 Facilitating Access to Data

4.3.5 Establishing Baseline Measurements

4.3.6 Performance Reporting

4.3.7 Providing Feedback to Relevant Stakeholders

4.3.8 Continuous Process Improvement

5. Conclusion

5.1 Summary of the Thesis

5.1.1 Proposed Approach

5.1.2 Expected Benefits

5.1.3 Implementation Plan

5.2 Study Limitations

5.3 Recommendations for Further Research

1. Setting Performance Objectives and Targets

2. Implementation of the Holistic Approach

3. Assessment of the Proposed Approach's Effectiveness

4. Examination of Lean Software and Agile Methodologies

Objectives and Topics

This master's thesis aims to develop a holistic model for achieving process capability level 3 and higher in the automotive industry by integrating Automotive SPICE standards with Key Performance Indicators (KPIs), lean thinking principles, and the 5 Whys technique. The core research focus is on providing a structured approach for practitioners to define, measure, and improve development processes.

• Integration of Automotive SPICE, KPIs, and Lean Management
• Assessment of current development process maturity levels
• Implementation of root cause analysis using the 5 Whys
• Development of actionable metrics for various engineering stages
• Optimization of semiconductor and software development workflows

Excerpt from the book

Summary of Chapters

1. Introduction: This chapter introduces the context of the automotive industry transformation, defines the problem statement regarding standard implementation, and outlines the research objectives and significance.

2. Literature Review: This section provides a comprehensive theoretical background by evaluating Automotive SPICE, CMMI, performance management frameworks, lean principles, and the 5 Whys technique.

3. Research Methodology: The methodology chapter details the mixed-methods research design, including the integrative literature review and qualitative interviews used to gather data.

4. Results and Discussion: This chapter presents the findings on the current state of Elmos' processes and introduces the proposed performance measurement model and KPI framework.

5. Conclusion: The conclusion summarizes the proposed holistic approach, the expected benefits for process maturity, study limitations, and recommendations for future research.

Keywords

Automotive SPICE, Key Performance Indicators, KPIs, Lean Thinking, Process Capability Level 3, Automotive Industry, Risk Management, Software Development, System Engineering, Process Improvement, 5 Whys Approach, Semiconductor Manufacturing, Quality Assurance, Project Management, Operational Efficiency.

Frequently Asked Questions

What is the core focus of this master’s thesis?

The thesis focuses on improving development process maturity in the automotive industry by creating a holistic framework that combines industry standards like Automotive SPICE with Lean principles and effective KPI design.

Which specific industry is addressed in this case study?

The research primarily addresses the automotive industry, specifically focusing on semiconductor and system development processes at Elmos Semiconductor SE.

What is the primary objective of the research?

The main objective is to design a methodology that assists organizations in reaching and exceeding Automotive SPICE capability level 3 through better measurement and lean management.

What research methods were utilized?

The study uses a mixed-methods approach, centering on an integrative literature review and qualitative interviews with an industry expert to validate findings.

How is the performance of development processes measured in this study?

Performance is measured using a set of 15 key indicators that cover requirements quality, project management, technical development, and architectural design, aligned with the company's internal ePEP process.

Which frameworks were integrated to create the proposed model?

The model integrates the Automotive SPICE framework, Lean management/software principles, and the 5 Whys problem-solving technique.

Why are standard maturity models difficult to implement without custom KPIs?

While frameworks like Automotive SPICE provide process guidance, they do not prescribe the tools or metrics for implementation; therefore, companies must define their own meaningful metrics to reflect their specific business reality.

How does the 5 Whys technique assist in the proposed model?

The 5 Whys technique is used to perform root cause analysis during process deviations, which helps organizations move beyond fixing symptoms toward long-term process optimization.