Navigating the consumer goods industry in today’s complex environment can be a significant challenge. Unreliable supply chains, sub-standard raw materials, and skilled labor shortages all bring new unknowns and risks that need to be accounted for in order to fulfill orders and produce quality finished products.

With Monte Carlo simulation in @RISK and DecisionTools Suite, you can account for the unknown variables in your model to help make better, data-driven decisions that drive success in consumer goods. Join experts in consumer goods such as Unilever, Proctor & Gamble, Cummins, and Dell Technologies by applying supply chain and risk management (SCRM) to improve efficiency and quality in production.

Whether you’re looking for a guided instruction video, inspiration from success stories, or an example model to get you started, we'll help you find the right next step towards using risk analysis for your firm.

We’ve collected @RISK and DecisionTools Suite users’ favorite resources for learning how to manage supply chain risks, optimize operations, improve equipment reliability, and leverage Monte Carlo simulation in consumer goods – helping to minimize failure points and maximize the probability of deliveries.

Download our Next Steps for Data-Driven Decision Making in Consumer Goods for:

• Expert-led webinars on how to measure the value of information and model uncertain product launches.
• Insights into how top consumer goods companies like Unilever, Proctor & Gamble, Cummins, and Dell Technologies use @RISK for supply risk management.
• Downloadable risk management supply chain example models to serve as initial building blocks to help you get started fast.