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Decision Support for Tactical Planning

Title: Decision Support for Tactical Planning
Authors: Kandler, Ute; Simroth, Axel; Morgado, João; Duarte, Emanuel
Publication Year: 2018
Collection: Publikationsdatenbank der Fraunhofer-Gesellschaft
Subject Terms: optimisation under uncertainties; modeling; Monte Carlo rollout; Planning Problem; tactical planning; Multi Objectives
Time: 629; 004
Description: The final objective of the INFRALERT system is to provide Infrastructure Managers/Owners and MaintenanceOperators/Contractors with intelligent software tools to support the decision-making process when planning maintenanceactivities and interventions. We focus on the application of INFRALERT for tactical planning in the roadpilot in Portugal, where the maintenance department has to allocate major interventions over a 5-year time horizon.The tactical planning has to optimise simultaneously the maintenance intervention costs, the quality indexand the availability of the network. The allocation and selection of interventions in the tactical plan is based on themaintenance alerts generated by the INFRALERT Alert Management toolkit, which is based on predicted futureconditions coming from the Asset Condition toolkit. The corresponding mathematical optimisation model whichreflects the uncertainty in the problem description has been developed as foundation for the decision support tool.The handling of uncertain information in the decision support tool is done by applying a scenario approach.
Document Type: conference object
Language: English
Relation: Transport Research Arena Conference (TRA) 2018; INFRALERT; 636496; https://publica.fraunhofer.de/handle/publica/404320
DOI: 10.5281/zenodo.1483152
Availability: https://publica.fraunhofer.de/handle/publica/404320; https://doi.org/10.5281/zenodo.1483152
Accession Number: edsbas.423F59EE
Database: BASE