Sets a New Standard

Comprehensive enough to model most today's challenges faced by process engineers and process owners across pharmaceutical, consumer health or healthcare operations to safely test improvement ideas and develop evidence based recommendations.

Continuous performance improvement is not just about measuring and monitoring; it's about anticipation and action. It's not enough to drive your business operations forward whilst looking in the rear view mirror. Today, more than ever before, you need to safely predict the outcome of future process changes. For naturally complex make, fill, pack and finish operations the outcome of even small change actions is often difficult to predict and quantify.

Historical consequences include over-engineering, excessive costs and under performance. Faced with such complexity, those delivering process excellence and adept performance improvement use synthetic environments, such as process simulators to manage these risks and accurately predict future performance. We shouldn't be surprised that they take their lead from military, flight or automotive simulators where operating costs are high and poor performance is life threatening.

The connections between causes and effects are often much more subtle and complex than we with our spreadsheets and rough understanding of the physical world might naturally suppose.

Due to the Bullwhip effect, a poor plan easily propagates to the whole chain. The impact of a poor plan on the overall business can be huge. When cause and effect are not closely related in time and when random or unpredictable effects are misinterpreted as good/bad performance, inappropriate decisions and actions inevitably follows.

It manifests itself in cycles of excess inventory and cost that are stubborn to breakdown. It causes a poor understanding of product demand, unbalanced capacities as the lean versus agile dilemma persists, poor production plan adherence, excessive operating costs and even lost sales.

Px-SIM permits the evaluation of operating performance prior to implementing or disturbing a system. Simulation helps companies become more aware of their manufacturing and supply chain dynamics and efficiencies. It permits better decisions by consideration of more operational alternatives, whilst compressing the time to such decisions. Planning cycle compression is a key driver of process improvement velocity. Simulation allows planners to challenge and set business rules, operating logic and run strategies more frequently with reduced implementation risks.

Px-SIM models are interactive but not real time decision making tools that are designed to help planners interpret and modify plans to drive business performance improvement from a holistic viewpoint.