Refine
Document Type
- Conference Proceeding (5)
- Part of a Book (3)
- Article (2)
Keywords
- Engineering optimization (2)
- Experimental validation (2)
- MINLP (2)
- Optimization (2)
- Powertrain (2)
- Technical Operations Research (2)
- BEV (1)
- Drinking Water Supply (1)
- Energy efficiency (1)
- Gearbox (1)
- Global optimization (1)
- MILP (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear programming (1)
- Network (1)
- Network design (1)
- Pumping systems (1)
- Resilience (1)
- Solver Per- formance (1)
- System Design Problem (1)
This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.