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“Using advanced analytics to manage the supply chain and reduce costs has become imperative. FICO has been critical to the optimization needs at Nestlé USA.”
- Shan Collins, Vice President of Planning & Center of Excellence, Nestlé USA
Meet customer demand for choice, customization and rapid delivery without sacrificing efficiency and quality.
IoT related technologies and data analytics are accelerating the arrival of the factory of the future. Predictive modeling, decision automation and optimization are essential elements of the manufacturing transformation leading to Industry 4.0. With FICO, you can put the power of these advanced analytics in the hands of business users. We help you achieve the agile decision making you need to adapt supply chains, production lines and distribution channels to the quickening cadence of today’s markets.
FICO solutions give you the means to handle the exploding complexity from high variation and low batch sizes while retaining and continuing to build on gains from Six Sigma, Lean and World Class Manufacturing. Rapid and real-time analysis of all kinds of data streaming in from IoT sensors, machines, bots and mobile workers support accurate on-the-spot decisions. Automated decisions and data-empowered work teams accelerate changeovers, perform preventive maintenance, reduce energy consumption and environmental impact, increase return on assets and enhance value from order through fulfillment.
Close the “forecasting gap” with broader data, faster analytic results and smarter decisions
Using advanced analytics, such as machine learning and explainable AI, you can go beyond traditional forecasting inputs to weigh a wider range of data for more accurate and dynamic projections of demand, planning production capacity and supply flows accordingly. Simulation and optimization let you rapidly explore any number of demand scenarios to improve long-term capital planning and short-term tactical planning. Scheduling optimization balances myriad factors, including goals like accelerating fulfillment to priority customers, improving overall equipment effectiveness (OEE), reducing safety stock and widening margins, to recommend the current best schedules.
Ensure resources and capacity are where you need them when you need them
With more accurate demand forecasts as inputs, along with data from production and suppliers, supply chain optimization recommends the most efficient part and component inventory levels. Use it with simulation to develop tactical sourcing strategies for handling spikes in demand or coping with supply chain disruptions. Optimization can also be applied to other complexities of supply chain management, including logistics concerns such as warehouse dock door scheduling, transportation network design and production facility location.
Improve quality, reduce costs, increase customization capabilities and optimize resource utilization
Manufacturing ERP systems gain agility when you use them with an external rules service. Without need for IT assistance, your business experts can easily set up rules-driven routines to accelerate complex, repetitive tasks, like updating material master lists and validating orders at the detailed level of component configurations. Streamlining such tasks reduces production delays, rework and scrap while facilitating custom factory builds.
Reduce downtime through predictive asset maintenance
Decision rules add intelligence to diagnostics systems, reducing time-to-identification of the root causes of production problems. Analytic models identify machines that are outliers in terms of expected ranges of production, speed or energy consumption — triggering maintenance intervention before failures occur. Machine learning can analyze a wide variety of factory data for insights — like relationships between humidity and machine energy consumption — that point to improvement opportunities.
Get products to customers with less spend, more speed
Optimization can identify the best choices among several million routing options in seconds. In fact, optimization, along with rules-driven automation and other advanced analytics, can help you make better decisions about all of the interrelated complexities of product fulfillment: container types, load building, carrier selection, truck load allocation, route assignment and more.
FICO is a Gold Sponsor of the 6th Big Data and Analytics Summit Canada. Join Mazen Moussa, Sr. Director, Decision Management Solutions & Analytics, FICO and day 1 – closing keynote speaker: Driving AI/ML Adoption to Improve Analytic Models and Business Processes. Learn more about The Big Data & Analytics Summit Canada at https://www.bigdatasummitcanada.com/.
Nestlé USA Applies Optimization Models to Save on Transportation and Production Costs.
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