270 likes | 279 Views
This discussion explores the use of multi-objective optimization in decision making for managing transport infrastructure assets. It covers road development in China, infrastructure asset management, decision making strategies, and the capabilities of multi-objective optimization.
E N D
DISCUSSION OF MULTI-OBJECTIVE OPTIMIZATION IN DECISION MAKING IN TRANSPORT INFRASTRUCTURE ASSEST MANAGEMENT Lin CHEN Chang’an University, Xi’an, China July 12, 2017
About me Chang’an University China University of Auckland New Zealand
About me University of Pretoria South Africa
Content • 1. Road Development in China • 2. Infrastructure Asset Management • 3. Decision Making • 4. Multi-Objective Optimization
1. Road Development in China History: Management department Laws Lower classes of highways Medium and high classes of highways 1949: 1980s:
1. Road Development in China Expressway Development in China
1. Road Development in China 4.69 million km Main Road Networks in China
2. Transport Infrastructure Asset Management What & When?
2. Transport Infrastructure Asset Management Transport Infrastructure Asset Management efficiently manage a road network in order to achieve goals and requirements Whattreatments should be used? Whenshould I apply the treatment? How to implement those treatment? Whatare the outcomes of my management?
3. Decision Making Decision Making (DM) attempts to identify the proper strategies for an infrastructure asset network Strategies
3. Decision Making Decision Making (DM) attempts to identify the proper strategies for an infrastructure asset network
3. Decision Making Decision Making (DM) attempts to identify the proper strategies for an infrastructure asset network Cost
3. Decision Making Decision Making (DM) attempts to identify the proper strategies for an infrastructure asset network Condition
3. Decision Making Decision Making (DM) attempts to identify the proper strategies for an infrastructure asset network ? Condition Cost
3. Decision Making Decision Making (DM) • A wide range of considerations • A large number of segments and strategies • Conflicting goals • A number of requirements • Subjectivities Various variables Powerful & cheap computingpower Multiple objectives Multiple constraints No expert experience needed Multi-Objective Optimisation (MOO)
4. Multi-Objective Optimization Multi-Objective Optimisation (MOO) describes Multi-Objective Decision Making more practically and rational, especially when objectives cannot be reasonably aggregated into a single objective.
4. Multi-Objective Optimization Multi-Objective Optimisation (MOO) - Abilities Pareto solutions: Best possible solutions
4. Multi-Objective Optimization Multi-Objective Optimisation (MOO) - Abilities Best achievable outcomes
4. Multi-Objective Optimization Multi-Objective Optimisation (MOO) - Abilities Outcome relationship Outcome trade-offs
4. Multi-Objective Optimization Multi-Objective Optimisation (MOO) - Abilities Outcome relationship Outcome trade-offs
4. Multi-Objective Optimization MOO has the potentials to help with decision making in TIAM Whatare the applicable methods? Whichone is suitable for my problem? How to implement it?
4. Multi-Objective Optimization Exact method Case Study Heuristic
4. Multi-Objective Optimization Comparison of MOO methods
4. Multi-Objective Optimization Solution Quality
4. Multi-Objective Optimization Solution Distribution Good distribution Poor distribution
4. Multi-Objective Optimization Comparison of MOO methods