Decision Support Systems
A support system for optimization modelling
Decision Support Systems
A DSS oriented method for multiobjective linear programming problems
Decision Support Systems
A multiple objective linear programming decision support system
T.H.E. Journal (Technological Horizons in Education)
Proceedings of the conference on First specialized conference on decision support systems
Towards a practical method to validate decision support systems
Decision Support Systems
Project portfolio selection through decision support
Decision Support Systems
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Multiobjective optimization in pavement management using genetic algorithms and efficient surfaces
Multiobjective optimization in pavement management using genetic algorithms and efficient surfaces
Transportation Decision Making: Principles of Project Evaluation and Programming
Transportation Decision Making: Principles of Project Evaluation and Programming
Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS
Expert Systems with Applications: An International Journal
A demand-responsive decision support system for coal transportation
Decision Support Systems
Hi-index | 0.00 |
This paper presents a case study for optimizing decisions on the best combination of preventive maintenance (PM) treatments and timings to be applied in the resurfacing life-cycle (interval between resurfacing events), for a given highway pavement section. In the optimization procedure, the paper incorporates key infrastructure management concepts of treatment-specific triggers, performance jump models, and performance trend models. Using a case study, the paper determines that optimization can be a viable tool to support scheduling decisions for highway preventive maintenance. Also, using sensitivity analysis, it is determined that changes in the resurfacing interval length and discount rate can influence the choice of optimal PM schedule.