Slow recovery from recession and the growing complexity of global supply chains are placing pressure on companies. Complex decision-making is required more often and more quickly assessing value and risk of decisions. How do you make difficult but smart decisions avoiding an unacceptable risk to the business? Supermodelling simulates the outcome and makes complicated decisions quicker.
From increasing wages to volatile fuel costs to changing demand, various factors need to be explored. Still too often, ad-hoc spreadsheets with limited data and visibility are employed - misdirecting the focus of planning and scheduling, leading to no improvement or even less profitability. With an imperfect vision of possible courses for action, organisations often fail to take the right route.
Supermodelling goes far beyond - it tests existing and potential decisions from quote to delivery. Most importantly, it provides a ‘safe’ environment to analyse, test and forecast ‘what if’ scenarios, such as the effects of interest rate changes, loss of export demand and launch of new technology. For sustainable solutions, supermodelling considers changes over time. With holistic market perceptions PA improved the reliability of price forecasting for a petrochemical firm.
PA's modelling and simulation techniques help understand which levers to pull, when to pull them and by how much, in order to create an agile supply chain. Highly valuable decisions and the impact of their implementation will positively influence the bottom-line. PA guided a FMCG manufacturer through the choices, evaluating risks and benefits and advising on the best route for reorganising the global production network.
To discuss sounder supply chain decisions in order to avoid expensive mistakes, please contact us now.
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