Portfolio Planning

    Predictive Product Portfolio Planning Shortens Product Delivery Time

    Situation

    An aerospace manufacturer has a large, complex portfolio of projects and new products to manage. At times, winning new business can be helped by demonstrating to potential customers not only the ability to design and build the needed products, but also the capability to efficiently and cost effectively, run the project and portfolio management (PPM) process. In other words getting the product to market on time and on-budget. This organization is incorporating a predictive modeling based approach to their PPM process.

    Objective

    Develop a capability to improve management decision making agility and their ability to get it right the first time and achieve operational excellence and mission success with each project and each portfolio.

    Results

    • They have a more credible system in place for demonstrating life cycle costs and schedules to their DoD customers when trying to win new business.

    • Gained a much better understanding of the impact on a portfolio from variability and uncertainty in resource demand/ capacity, time lines and project costs.

    • Enabled them to do a better job of setting expectations and making recommendations for the program.

    • Increased their confidence and their customer's confidence in their project plans, program execution and the timeliness of product delivery.

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    Process Improvement

     

    Defense Manufacturer Needed to Minimize Late Orders

    Situation:

    An armored vehicle component production facility supplies parts for other company sites where vehicle final assembly takes place. This component facility was experiencing a significant amount of late orders due to demand increases from several government programs over an 18 to 24 month period. In addition, moving bottlenecks were making it extremely difficult to plan production.

    Company executives needed to be able to give their customers reliable delivery dates and assure them that these dates would be met. In order to accomplish this, it was decided that managers at the component facility needed a more accurate short-term production planning tool. Decision makers wanted to better understand the true capacity of the component facility operations, as well as a way to test and evaluate new ideas for improving process throughput. Because of past successes with simulation the company decided to engage ProModel to create a predictive analytic solution that would aid in their short term planning to improve on time delivery and become an effective tool for long-range production planning alternatives.

    Process Improvement Results

    Objectives:

    • Analyze cycle times and work in process levels

    • Determine maximum system throughput, both cumulative and periodic

    • Load work centers and departments with real time data

    • Determine future resource requirements by department and skill set

    • Identify system bottlenecks (machines, equipment, and labor)

    Results:

    • A solid understanding of their true facility capacity with a complex product mix

    • The precise combination of equipment and resources needed to meet required service levels

    • Improved processes and on time delivery

    • Flexibility to use this solution across multiple plants

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    Custom Solutions / Custom Development

    Defense Manufacturer Needed to Minimize Late Orders Throughout the Supply Chain

    An armored vehicle component production facility supplies parts for other company sites where vehicle final assembly takes place. This component facility was experiencing a significant amount of late orders due to demand increases from several government programs over an 18 to 24 month period. In addition, moving bottlenecks were making it extremely difficult to plan production.

    Company executives needed to be able to give their customers reliable delivery dates and assure them that these dates would be met. In order to accomplish this, it was decided that managers at the component facility needed a more accurate short-term production planning tool. Decision makers wanted to better understand the true capacity of the component facility operations, as well as a way to test and evaluate new ideas for improving process throughput.

    Because of past successes with our COTS (Commercial Off The Shelf) simulation technology, they decided to work with us to develop a custom predictive analytic solution that would aid in their short term planning to improve on time delivery and become an effective tool for long-range production planning alternatives.

    After proving it out at this initial facility, the plan is to implement it at each facility on the supply chain.

    Contact us to learn more