Copperleaf Technologies Inc.

Stanley Thomas Coleman

Simon Nesbitt Horner

William John Dall

Alejandro Erickson

Nicholas Sertic

John Klippenstein

Giuseppe Gnocato

Diego Andres Gonzalez Suarez

Nicholas James Malcolm

James Burberry

Danilo Prates De Oliveira

A method, apparatus and system for portfolio performance prediction of a portfolio of projects include receiving information regarding at least start date delays, duration increases and cost overruns for at least one project of the portfolio of projects, determining at least one cluster for the at least one project from the received information regarding at least the start date delays, duration increases and cost overruns for the at least one project of the portfolio of projects, creating a statistical representation for each of the clusters of the at least one project of the portfolio, and predicting a performance of the portfolio of projects using information regarding the statistical representation of the clusters of the at least one project of the portfolio of projects.

Portfolio performance prediction

Methods and apparatus for asset management are provided. The apparatus, for example, a processor to receive an input including intervention information for a first plurality of assets in a first circuit and for a second plurality of assets in a second circuit in a network; create a first plurality of bundling strategies for interventions to be performed for the first plurality of assets in the first circuit and create a second plurality of bundling strategies for interventions to be performed for the second plurality of assets in the second circuit; calculate for a created first plurality of bundling strategies and a created second plurality of bundling strategies at least one of an outage duration and cost associated with the interventions; and create a schedule for performing interventions for the first plurality of assets in the first circuit and the second plurality of assets in the second circuit.

Method and apparatus for asset management

Apparatus and methods for managing and upgrading components in an infrastructure are provided. Records relating to components may be retrieved from a database and separated into subsets based on conditions of those components, the types of those components, deterioration models of those components, and/or other factors. Future condition values may be calculated for each subset, and likelihoods of failure of components may be determined for each subset based on those future condition values. The estimated condition values may be used in order to determine an optimal approach to maintaining, refurbishing, and/or replacing the components in the infrastructure. Computational efficiency is increased.

Methods for maintaining infrastructure equipment and related apparatus

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Vancouver, Canada

Stanley Thomas Coleman