Master various principles, tools and techniques to be applied in business improvement projects, as e.g. SIPOCs, process mapping, value stream mapping, KPI and PPI analysis, root cause analysis, control charts, box plots, regression analysis, 5S, value, waste, 5Rs for process redesign, flow, pull, jidoka, pokayoke, cash flow analysis, stakeholder management etc.
Skills in leading operations and business process improvement projects as well as kaizen activities according to Systems Thinking, PDCA or DMAIC methods.
Skills in leading operations and business improvement projects towards meeting deliverables and broader stakeholder objectives, also taking role of human resources into account.
Skills for designing and leading larger scale organizational transformations centered around lean-six sigma approaches towards sustainable practices of continuous improvement – also ability to identify enablers / barriers for success, e.g. the role that governance of IT investments play in enabling process improvement projects to succeed
The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.
Since it is a 5 ECTS course module the expected workload is 150 hours for the student.
|Name of exam||Data Science and Process Improvement|
|Type of exam|
Written or oral exam
|Assessment||7-point grading scale|
|Type of grading||Internal examination|
|Criteria of assessment||The criteria of assessment are stated in the Examination Policies and Procedures|
|Danish title||Datavidenskab og procesforbedring|
|Language of instruction||English|
|Location of the lecture||Campus Copenhagen|
|Responsible for the module|
|Study Board||Study Board of Production|
|Department||Department of Materials and Production|
|Faculty||Faculty of Engineering and Science|