Are you interested in delving into the exciting realm of industrial engineering and organizational learning? We are offering a unique opportunity for a dedicated and curious individual to undertake a PhD research project that aims to revolutionize how manufacturing plants adapt to the challenges posed by increasingly complex products. Join us as we explore the dynamic interplay between product complexity and learning curves and contribute to real-world solutions for high-tech firms.
Eindhoven University of Technology is looking for a PhD candidate with a master's degree in one (or more) of the following programs: Innovation Management, Mechanical Engineering, Industrial Engineering, Technology Management, Human-Technology Interaction, or Industrial Design, and with an interest in quantitative and qualitative empirical research on the interface of Product Design, Innovation and Operations Management.OrganizationEindhoven University of Technology is one of the world's leading research universities (ranked by the Times Higher Education Supplement) and is particularly well known for its joint research with industry (ranked number one worldwide by the Centre for Science and Technology Studies). The Department of Industrial Engineering & Innovation Sciences (IE&IS) of Eindhoven University of Technology is one of the longest-established engineering schools in Europe, with a strong presence in the international research and education community, especially in the fields of Operations Management and Innovation Management, which are at the core of the undergraduate BSc program. The graduate programs (MSc and PhD) in Operations Management & Logistics and Innovation Management attract top-level students from all over the world.
GroupThe PhD project is conducted within the Innovation, Technology Entrepreneurship & Marketing (ITEM) group in close collaboration with the Control Systems Technology (CST) group. The ITEM group is part of the department of Industrial Engineering and Innovation Sciences and focuses on understanding and improving innovation processes of high-tech firms. The CST group is part of the department Mechanical Engineering and focuses on performance-driven design and control of high-tech engineering systems.
Short description of the PhD ProjectPhD Research Project: Investigating the Impact of Product Design Complexity on Learning CurvesIn today's fast-paced manufacturing landscape, the demand for sophisticated and innovative high-tech products is on the rise. This has led to a cascade of new products as well as engineering changes and modifications to existing products that both significantly impact the efficiency of manufacturing processes. This PhD project centers around empirical research that will illuminate the relationship between engineering changes, product design complexity, and the learning curves that govern product development and manufacturing cycles.
The PhD project has two core aims:
- Understanding product design's influence on the learning curve: We want to shed light on how decisions made during the product design and product architecture phases impact the learning curves in product development and manufacturing.
- Guiding effective management: By delving into the complexities of product design, architecture, and learning curves, we aim to provide practical recommendations to managers of high-tech firms for reducing development and manufacturing cycle times.
We plan to apply advanced empirical methodologies to unravel the relationships between engineering changes, product complexities and learning curve effects. Our methods include:
- Mapping product design complexity, modularity, and commonality: We will use design structure matrixes (DSMs) and multi-domain matrixes (MDMs) to visualize and operationalize the intricate connections within product and process architecture.
- Experimentation for testing causality between the product design (complexity, modularity, and commonality) and the learning curve in manufacturing: Our (quasi/natural) experiment design will help us decipher causal links between product design properties and learning curve effects.
- Real-life impact analysis: By tapping into secondary data and time series models, we will uncover real-life effects and trends.
Why Join Us?This research project offers a unique chance to make meaningful contributions to both academia and high-tech industry. By collaborating with experts in systems and industrial engineering, and innovation and operations management, you will be at the forefront of interdisciplinary research. Your findings will directly address challenges faced by engineering organizations and manufacturing plants in innovating and resource planning after introducing new products, offering actionable insights to enhance efficiency and mitigate risks. In addition to the academic and intellectual rewards, the successful candidate will receive:
- Mentoring from seasoned experts in systems and industrial engineering, and innovation and operations management.
- Access to cutting-edge tools and data analysis techniques.
- Opportunities to present research findings at international conferences.
- Opportunities to gain professional experience in industry and academia.
- Opportunities to become an expert in the fields of product design and learning curves.
Job descriptionYou, as a successful applicant, will perform the research project outlined above in an international team. The research will be concluded with a PhD thesis. A small teaching load is part of the job.