Analysis Of The Consequences Of Disrupting Events On Ongoing Product Development Projects: The Cascading Effects Of Severe Influences

The initial planning of the development of complicated products usually requires time and efforts. However, even the most accurate plans are not able to cope with all the uncertainties that might arise during an ongoing project. If a severe uncertainty affect the development project a critical situation arises and a disruption might happen. The present literature does not offer a comprehensive solution on how to investigate these type of events after they occurred. This contribution presents a model that aims to analyse and better understand disruptions that affect ongoing product development projects.

[1]  D. Wilemon,et al.  Accelerating the Development of Technology-Based New Products , 1990 .

[2]  G. O'Connor,et al.  A Comprehensive Model of Uncertainty Associated with Radical Innovation , 2013 .

[3]  Alan Wiemann Planning and Execution , 2008 .

[4]  G. C. van der Graaf,et al.  Tripod-BETA: Incident investigation and analysis , 1996 .

[5]  Kristin Paetzold,et al.  Agile development and the constraints of physicality: A network theory-based cause-and-effect analysis , 2017 .

[6]  D. Hillson,et al.  Assessing Risk Probability : Alternative Approaches Dr , 2005 .

[7]  C. H. Lie,et al.  Fault Tree Analysis, Methods, and Applications ߝ A Review , 1985, IEEE Transactions on Reliability.

[8]  Allan Larsen,et al.  Disruption management - operations research between planning and execution , 2001 .

[9]  B. Latour On actor-network theory : A few clarifications , 1996 .

[10]  Roland Ortt,et al.  Managing disruptions during the execution phase of product development projects: A secondary data analysis , 2017, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[11]  Fran Ackermann,et al.  The role of feedback dynamics in disruption and delay on the nature of disruption and delay (D&D) in major projects , 2000, J. Oper. Res. Soc..

[12]  H. Schneider Failure mode and effect analysis : FMEA from theory to execution , 1996 .

[13]  Roland Ortt,et al.  Understanding the Cause-Effects Relations of Severe Influences Affecting Ongoing Product Development Projects , 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[14]  Kevin Crowston,et al.  What is coordination theory and how can it help design cooperative work systems? , 1990, CSCW '90.

[15]  M. Elisabeth Paté-Cornell,et al.  Uncertainties in risk analysis: Six levels of treatment , 1996 .

[16]  Edward G. Schilling,et al.  Juran's Quality Handbook , 1998 .

[17]  Marilyn Sue Bogner,et al.  Stretching the Search for the ‘Why’ of Error: The Systems Approach , 2002 .