Table 1 Intervention planning literature... | Emerald Publishing

Table 1

Intervention planning literature summary

Author	Network	Object types	Optimisation goals	Considered characteristics	Optimisation technique	Result	Simplifications	Unconsidered characteristics
Arthur et al. (2009)	Sewer	Pipes	Framework only	Failure probability function, inspection data, network effects	Framework only	Optimal intervention programme	Scores instead of real values	Other networks
Louit et al. (2009)	Electricity	Conductors	Minimise cost, as in the study by Stillman (2003), maximise availability or maximise profit for the network operator	Budget limit, availability limit	Statistical estimation	Optimal time interval between interventions	Failure modes disregarded, fixed intervention policy, time-independent costs	Network effects, other infrastructure networks
Egger et al. (2013)	Road	Pavement layers	Minimise cost, maximise reliability and Pareto surface from both	Pavement design demand, traffic demand, actual pavement load	Genetic algorithm	Optimal intervention programme for one object	Only one intervention type	Network effects, other infrastructure networks
Egger et al. (2013)	Sewer	Pipes	Determine deterioration function	Failure probability function, inspection data, expert knowledge	Monte Carlo Markov chain	Deterioration function posterior distributions		Intervention programmes
Dehghanian et al. (2013)	Electricity or gas	All	Maximise the condition-improvement-to-cost ratio	Failure probability, network reliability	Iterative method	Optimal strategy to construct an intervention programme	General level, no detailed methodologies given	Other infrastructure networks
Mathew and Isaac (2015)	Road	All	Pareto front for cost minimisation and condition maximisation	Road condition index, intervention types, condition index history	Genetic algorithm	Pareto front to calculate intervention programmes	Independent objects	Network effects, other infrastructure networks, grouping benefits
Zayed and Mohamed (2013)	Water	Pipes	Minimise sum of intervention costs and expected failure costs	Network simulation	Proprietary optimisation	Optimal clustered intervention programme	Objects independent	Network effects, other infrastructure networks
Lethanh et al. (2014)	Road	All	Minimise short- and long-term costs for users and road operators	Network structure, traffic configuration, spatial distribution	Linear programme	Optimal clustered intervention programme for 1 year	Linearisation, independence of work zones	Multiple years, other networks
Tscheikner-Gratl et al. (2016)	Water, sewer, road	Pipes/road section	Minimise criticality	Object condition, deterioration models, network configuration	Iterative method	Optimal clustered intervention programme		Interactions between networks, level of service

Author	Network	Object types	Optimisation goals	Considered characteristics	Optimisation technique	Result	Simplifications	Unconsidered characteristics
Arthur et al. (2009)	Sewer	Pipes	Framework only	Failure probability function, inspection data, network effects	Framework only	Optimal intervention programme	Scores instead of real values	Other networks
Louit et al. (2009)	Electricity	Conductors	Minimise cost, as in the study by Stillman (2003), maximise availability or maximise profit for the network operator	Budget limit, availability limit	Statistical estimation	Optimal time interval between interventions	Failure modes disregarded, fixed intervention policy, time-independent costs	Network effects, other infrastructure networks
Egger et al. (2013)	Road	Pavement layers	Minimise cost, maximise reliability and Pareto surface from both	Pavement design demand, traffic demand, actual pavement load	Genetic algorithm	Optimal intervention programme for one object	Only one intervention type	Network effects, other infrastructure networks
Egger et al. (2013)	Sewer	Pipes	Determine deterioration function	Failure probability function, inspection data, expert knowledge	Monte Carlo Markov chain	Deterioration function posterior distributions		Intervention programmes
Dehghanian et al. (2013)	Electricity or gas	All	Maximise the condition-improvement-to-cost ratio	Failure probability, network reliability	Iterative method	Optimal strategy to construct an intervention programme	General level, no detailed methodologies given	Other infrastructure networks
Mathew and Isaac (2015)	Road	All	Pareto front for cost minimisation and condition maximisation	Road condition index, intervention types, condition index history	Genetic algorithm	Pareto front to calculate intervention programmes	Independent objects	Network effects, other infrastructure networks, grouping benefits
Zayed and Mohamed (2013)	Water	Pipes	Minimise sum of intervention costs and expected failure costs	Network simulation	Proprietary optimisation	Optimal clustered intervention programme	Objects independent	Network effects, other infrastructure networks
Lethanh et al. (2014)	Road	All	Minimise short- and long-term costs for users and road operators	Network structure, traffic configuration, spatial distribution	Linear programme	Optimal clustered intervention programme for 1 year	Linearisation, independence of work zones	Multiple years, other networks
Tscheikner-Gratl et al. (2016)	Water, sewer, road	Pipes/road section	Minimise criticality	Object condition, deterioration models, network configuration	Iterative method	Optimal clustered intervention programme		Interactions between networks, level of service