To date, planning of interventions in municipal infrastructure have largely been focused on singular asset networks or even an element within such networks, without due consideration for the interrelated nature of adjacent assets. This paper describes a decision support methodology to assist municipalities in planning of repairs and replacements of geo-spatially interrelated assets. The paper briefly describes the methods that are currently used for maintenance planning of asset networks, and introduces a threshold-based computational model for integrated asset planning. The proposed method is developed in a GIS environment and encompasses three main modules; network analysis, asset interdependence and integrated planning. The paper outlines the proposed methodology and focuses on the planning module that uses a dominance-based heuristic algorithm. The planning algorithm performs two passes over the inventory, with the first pass attempting to maximize improvements and the second pass making sure that any replacements that were not possible due to budget restrictions were at least repaired to avoid failure in the near future. The module generates a plan of assets requiring interventions and the type of possible intervention, within annual budget constraints. A case study is presented to demonstrate the use of the developed methodology and to illustrate its capabilities. The case utilizes a combination of existing GIS maps and a small set of assumed conditions, time-dependent deterioration and cost data. The benefit of the described methodology lies in its ability to create plans for interrelated assets.
展开▼
