Mr Glen Alleman more than 30 years’ experience in Program Performance Management includes aerospace, defence, electric utilities, oil and gas, pulp and paper, and enterprise IT.
Glen provides program planning and controls on US government contracts, for flight avionics systems, embedded control systems, enterprise business system, and biopharma product development.
Glen’s professional organization contributions include Joint Space Cost Council developing guidance for continuous risk management to Space Systems increase the probability cost and schedule growth in the presence of the uncertainty of complex system of systems.
Glen’s most recent book contributions include chapters The Practitioner’s Handbook of Project Performance: Agile, Waterfall and Beyond, 1st Edition, Routledge, 2019.
Journal articles and training materials or Risk Management, Earned Value Management, Government and Commercial Project Management. These works are based on a previous book Performance-Based Project Management, American Management Association, 2014 and contents in The Story of Managing Projects: An Interdisciplinary Approach, Edited by Elias G. Carayannis, Praeger, 2005.
A Capabilities-Based Plan defines the Measures of Effectiveness and Measures of Performance needed to accomplish a Mission or fulfil a strategy. These MOEs and MOPs provide the “assessment” for any technical or operational requirements needed to accomplish the Mission or Strategy. The Minimal Viable Capability (MVC) Strategy defines the Minimal Viable Product (MVP), focused on developing the smallest “feature set” needed to fulfil a Mission or Strategy. The MVP is the foundation of Iterative and Incremental development (IID). After viewing this webinar, you will be equipped with the fundamental knowledge needed to participate in a capabilities-based planning environment.
Cost and schedule growth and technical shortfalls for Defence and Government programs are created when there are unrealistic: technical performance expectations, cost and schedule estimates, risk assessments, and/or unanticipated technical issues. All rooted in poorly performed and ineffective risk assessment, or management.
This presentation shows how to correct or prevent these conditions by applying the principles of Systems Engineering and Program Management to increase the probability of Program success.
As Australia embarks on an unprecedented level of capital expenditure on major projects across multiple domains in Federal and State Governments including Defence and infrastructure across multiple sectors, including roads and rail projects in both the major capital cities and regional areas, it is timely to be reminded that major projects are perilous undertakings with the risks of project stress (defined and cost and/or schedule overrun) and failure both ever present, requiring ongoing monitoring to prevent and correct.
This master class provides a rare opportunity to learn from the latest United States research on the primary causes and contributors to project stress and failure and the latest strategies and tools and techniques which can be implemented to prevent and correct these issues, significantly improving the probability of successful project delivery outcomes.
This presentation provides a rare opportunity to learn from the latest United States research on the primary causes and contributors to project stress and failure and the latest strategies and tools and techniques which can be implemented to prevent and correct these issues, significantly improving the probability of successful project delivery outcomes.
Project (and program) management supported by project planning and control has overall responsibility for project delivery in accordance within the parameters of cost (budget), schedule (time) and a technically compliant “fit for purpose” solution.
Systems Engineering is responsible to project management for the specification, design, build and implementation of the technically compliant “fit for purpose” solution. SE use Measures of Effectiveness (MoE) and Measures of Performance (MoP) and their Technical Performance Measures (TPM) and Key Performance Parameters (KPP) for each end item deliverable to measure what “done” looks like. Each measure provides steering targets for the project work and the baseline for feedback needed to make corrective and preventive actions to keep the project moving toward to goals.
Project (and program) management supported by project planning and control has overall responsibility for project delivery in accordance within the parameters of cost (budget), schedule (time) and a technically compliant “fit for purpose” solution.
Systems Engineering is responsible to project management for the specification, design, build and implementation of the technically compliant “fit for purpose” solution. SE use Measures of Effectiveness (MoE) and Measures of Performance (MoP) and their Technical Performance Measures (TPM) and Key Performance Parameters (KPP) for each end item deliverable to measure what “done” looks like. Each measure provides steering targets for the project work and the baseline for feedback needed to make corrective and preventive actions to keep the project moving toward to goals.
Can Earned Value Alone Get Us
To Our Destination?
• How do we increase visibility into program performance?
• How do we reduce cycle time to deliver the product?
• How do we foster accountability?
• How do we reduce risk?
• How do we start our journey to success?
Stop managing complex programs as if they are merely complicated. This masterclass on Capabilities-Based Planning (CBP) demonstrates how to increase success in uncertain environments. Learn to define required operational capabilities before requirements, ensuring project outcomes are directly aligned with strategic objectives and that risk is managed effectively.
Digital Twins offer a transformative approach to managing complex programs by creating a virtual replica of physical assets. This keynote explains how integrating Digital Twins with Model-Based Systems Engineering (MBSE) and program performance management provides an “Authoritative Source of Truth,” enabling better decision-making, improved design, and faster development.
