Program Management of an Aerospace Manufacturer Product Life Cycle Supply Chain


    The program supply chain flow and associated life-cycle costs were driving and being driven by BOTH schedule factors AND technical factors which required better integration to ensure the most efficient production plan.   Their current ability to project supply chain costs and customer delivery schedule on this particular government program were not sufficient to ensure they would identify budget or delivery risks before it was too late to make changes to prevent them.


    • Better project (predict) the effect on life-cycle costs, resources and delivery timing from changes in program scope and/or disruptions to the current plan.

    • Perform sensitivity analysis

    • Experimentation Traceability - who experimented with what ideas

    • Ability to set expectations and making recommendations for the program to Program Management and Customer


    The Portfolio Simulator solution developed allows them to:

    • Optimize hardware delivery dates

    • Optimize life cycle costs

    • Optimize resource quantities and usage

    • Set expectations and make recommendations for the program to Program Management and Customer

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    Government Agency Uses Predictive Portfolio Simulation to Reduce Project Approval Cycle Time and Improve Resource Capacity Planning


    A government agency whose responsibility involves overseeing and approving very long cycle time (years) and high risk construction projects was struggling with the complexity of managing multiple projects of this magnitude at the same time.  They were facing large resource constraints.


    • Shorten the contract approval cycle time

    • Develop a simplified, yet accurate way, of analyzing long-term resource requirements


    ProModel worked with the agency to develop a re-usable predictive project portfolio planning capability to help them achieve their objectives both now and in the future.  To date they have been able to achieve the following:

    • Understand more accurately their actual approval process and where the bottlenecks are

    • Test 'What-If" scenarios around potential different courses of action without interrupting their live process

    • Improve the process for forecasting their resource requirements over the next 5-10 years

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    Contract Manufacturer Improves Bid and Proposal Process Using Project Portfolio Simulation


    A mid-sized, rapidly growing bio-pharmaceutical contract manufacturer was having difficulty planning and assigning resources based on their current demand forecast. As a result of this inability to plan accurately, they were late 25% of the time on customer deliveries compared to their promise dates.

    Their customer base is a mix of well-established Bio Pharma companies as well as small Bio Pharma startups. The nature of the business is highly dynamic. Because of this, the business is extremely difficult to predict, often times they are not sure if the product will scale up, run out of funding, etc. To manage this effort each team was using Microsoft Project to analyze their efforts, but they had no holistic view of all of their projects, making it difficult to see how changes in one project affects others.


    They needed a way to manage their projects individually, and also be able to roll up all of their projects into one organizational portfolio, so they can do What-If's as in order to better align their current pipeline of activity and future potential projects to the resources required to complete the work.


    Using ProModel Project and Portfolio Simulation, we helped them develop a solution set that allowed the team to quickly assess their pipeline and match it against their resources. To date all of the teams now actively rely on the solution set to help better communicate more accurate information internally as well as externally with existing and new clients. So far, they've been able to reduce late orders by 75%.

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    IT Goals Redefined after Accurate Portfolio Analysis


    The Research Informatics IT group for a global pharmaceutical company was tasked with sun-setting 600 IT applications within a single year. They needed to better understand the resource capacity required to complete these projects and how long resources would be needed for each project? Critical to understanding how to complete these projects was the need to understand how resources were shared across the portfolio. The complex nature of sharing resources among many projects over time and the changing direction of the projects could best be analyzed using ProModel Portfolio Simulation.


    • Understand the capacity to close as many Research Informatics IT projects as possible in the next six months

    • Analyze alternatives to improve productivity towards faster project completion for the future

    • Develop and maintain an ongoing methodology to continue to evaluate resource requirements into the future


    ProModel Consultants and the Client Team worked together to create project templates which took into account the following project parameters:

    • Cycle Time Parameters

    • Cycle Time Variability

    • Survival Probability

    • Resource Requirements

    • Task Dependencies

    • Project Priority

    The conclusion was the client needed to hire more resources in order to meet their six month goal. The output of the analysis also indicated specifically the number of programmers, database administrators, projects managers, etc. required to complete the application sun-setting by year end. Since budgets did not allow contracting of the additional resources, the end of year goal was purposely not met. The work was pushed out into second quarter of the following year.

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    Panda Restaurant Group - Selling More Orange Chicken with Simulation

    "Being able to present outcomes from the simulations, speaks volumes! Presenting these outcomes in logical terms that others can understand allows us to optimize the value of the portfolio we have put together."

    Scott Orr, Director, PMO at PRG

    "Simulation is the only way that would give us the data to substantiate our claims or provide us a better way to complete the portfolio of projects."

    Leonard Yip, CTO, PRG


    Panda Restaurant GroupCalifornia based Panda Restaurant Group (PRG) operates about 1,400 restaurants in 38 states, and is also expanding internationally. PRG includes the original Panda Inn fine dining restaurants, Panda Express, and Hibachi San. It takes a vast IT organization to support this volume of restaurants and IT project management is one of the most challenging areas within this IT functional operation.
    Only 30% of PRG IT projects were completed on time, most were 200% over-budget and some were never even completed. Given the slower economy, delivering critical projects on time and within budget was absolutely necessary. Leonard Yip, PRG CIO had previous experience with ProModel technology.

    Currently using spreadsheets to manage projects and make project resource decisions and analyze other portfolio data, Leonard and his team decided to formulate a project management methodology using Microsoft Project Server and ProModel's Enterprise Portfolio Simulator (EPS) to help them analyze their full portfolio of IT projects and make portfolio decisions.


    • Establish a project management methodology using Microsoft Project and EPS

    • Create a single source for managing all IT projects

    • Make accurate resource capacity decisions

    • Deliver projects on time and within budget at least 80% of the time


    The results of this project planning and resource management approach were very dramatic. The first project completed using the new tools was examined in detail and determined to be a troubled project. The original plan predicted a six month delay. Examining the impact of using additional resources to improve timing and financial performance, PRG identified ways to accelerate the project such that it could be delivered according to the committed deadline.

    The first year PRG used Project and EPS they completed over 80% of their IT projects on-time. PRG continued to use this project management methodology with EPS and plans to improved their on-time project completions to more than 85% in the second year.

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