In this paper empirical finding from a study conducted at an aerospace company is compared to theory regarding Experience Feedback (EF), Lessons Learned (LL) and Decision Making (DM). The purpose with the study was to examine how EF within the organization was conducted and what problems and possibilities that was seen. A qualitative approach was taken and interviews and a workshop was conducted. The empirical findings show that EF exist on different levels within the organization but current feedback processes are currently leaning more towards archiving and storing than knowledge sharing and learning. Also passive dissemination approaches are mostly used whereas active dissemination within the correct context is needed The aim with this paper is to discuss issues and empirical findings that should be considered when creating work methods and systems that support learning by EF and LL dissemination.
Skip Nav Destination
ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 30–September 2, 2009
San Diego, California, USA
Conference Sponsors:
- Design Engineering Division and Computers in Engineering Division
ISBN:
978-0-7918-4899-9
PROCEEDINGS PAPER
Challenges for Experience Feedback in Engineering Design
Henrik Nerga˚rd,
Henrik Nerga˚rd
Lulea˚ University of Technology, Lulea˚, Sweden
Search for other works by this author on:
Tobias Larsson
Tobias Larsson
Lulea˚ University of Technology, Lulea˚, Sweden
Search for other works by this author on:
Henrik Nerga˚rd
Lulea˚ University of Technology, Lulea˚, Sweden
Tobias Larsson
Lulea˚ University of Technology, Lulea˚, Sweden
Paper No:
DETC2009-87305, pp. 835-842; 8 pages
Published Online:
July 29, 2010
Citation
Nerga˚rd, H, & Larsson, T. "Challenges for Experience Feedback in Engineering Design." Proceedings of the ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B. San Diego, California, USA. August 30–September 2, 2009. pp. 835-842. ASME. https://doi.org/10.1115/DETC2009-87305
Download citation file:
13
Views
Related Proceedings Papers
Related Articles
An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping
J. Comput. Inf. Sci. Eng (March,2018)
On Rationality in Engineering Design
J. Mech. Des (November,2004)
An Interactive Multistage ε-Inequality Constraint Method For Multiple Objectives Decision Making
J. Mech. Des (December,1998)
Related Chapters
Multiobjective Decision-Making Using Physical Programming
Decision Making in Engineering Design
Utility Function Fundamentals
Decision Making in Engineering Design
Methods, Planning, and Work Measurement
Manufacturing Engineering: Principles for Optimization, Third Edition