Adaptive Risk Processes for the Development and Construction of Complex Systems

PhD Student: Ali Shafqat

Partner organization: NTNU

Project time frame: 2017 - 2021

Abstract

Product development (PD) faces uncertainties caused by rapidly developing technologies, shifting market demands and the changes occasioned by these developments, including new requirements for products being developed and increased difficulty for companies to reliably execute state-of-the-art processes.

We argue that classic PD risk management methods and tools are based on the ‘predict and plan’ paradigm, which assumes that organisation members involved in PD have sufficient time and resources to identify, analyse and mitigating technology risks and organisational risks. However, the reality of product development is that time and resources are rarely sufficient, and uncertainty is currently being introduced to the development process at an accelerated rate by trends such as pervasive digitalisation.

We therefore investigate a resilience-inspired approach to PD risk management that abandons the predict and plan paradigm in favour of a ‘monitor and adapt’ approach. We argue that, in industrial practice, predict and plan approach is the de facto risk management baseline, and suggest deliberately tailoring risk management and PD processes to incorporate resilience-based practices.