Program Overview

Statistical Product and Process Development

Course Overview

The course discusses advanced experimental design methods, statistical process monitoring, and reliability analysis. These methods are used for fact-based decision-making in the realm of operations management.

Course Details

• The course builds upon foundational quantitative methods introduced in the quality management course at the first-cycle level.
• Areas of sequential experimentation, encompassing screening, characterisation, and optimisation in the Design of Experiments field are covered.
• The course explores response surface methodology and experimental designs tailored for intricate industrial conditions, particularly addressing challenges posed by randomisation difficulties.
• The course progresses to an in-depth exploration of advanced univariate control charts for variable and attribute data.
• The course also introduces multivariate control charts, which combine simultaneous surveillance of multiple variables.
• Given the prevalence of precise process data in manufacturing and service environments, the course addresses complexities arising from serial dependence (time dependence) and deviations from the normal distribution assumption.
• Furthermore, connections between process monitoring and control engineering solutions are addressed.
• Reliability is a focal point, emphasising data-driven methods for reliability and system analysis.

Course Structure

• The course integrates laboratory assignments, employing problem-based learning through collaborative group tasks.
• Students engage with advanced statistical analysis software, encompassing commercial tools and open-source alternatives such as R or Python.

Credits and Level

• 7.5 credits, course, master's level, K7008N
• Offered in Spring 2026 and Spring 2027

University Overview

Luleň University of Technology experiences rapid growth with world-leading expertise within several research areas. The university has a total turnover of SEK 2.3 billion per year, 1,800 employees, and 21,600 students.