Manufacturing & Consumer Goods
Improving Operations and Maximizing Profits through Predictive and Prescriptive Analytics
From laundry detergent and toothpaste to auto parts and aircraft engines, Palisade solutions improve efficiency and quality.
Whether you work for Cummins, P&G, a consulting firm or a public agency, anyone in the manufacturing sector knows that they face more risk than ever before. As an industry operating in global supply chains, ever-changing geopolitical environments, and diverse economies, manufacturers are exposed to a wide range of constantly-changing uncertainties that can negatively impact bottom lines and shareholder value.
The pandemic has been characterized by widespread manufacturing shortages, and demand is only increasing. Supply chain risks remain a key source of uncertainty for manufacturers, and are made worse by volatility in tariff and trade policy, which can significantly impact the import of commodities and raw materials. Product defect liability is another, closely related risk, as sub-standard raw materials can lead to lower quality finished products. Furthermore, labor shortages can arise with strikes or as a result of geopolitical events. And, finding and retaining skilled labor, which is often required to run today’s technologically-advanced factories, remains a challenge. Innovations in technology and automation present huge opportunities as well as risks to manufacturers. Internet-connected machinery, predictive maintenance, and automated inventory management are top priorities for manufacturing executives. Reliability and safety are equally important considerations, as the risk of failure – either of machinery or finished products – can put human lives on the line.
The manufacturing industry finds itself in a period of substantial change, brought about by new technologies and new adaptations of existing technologies. [These uncertainties] combine to present manufacturers with both tremendous opportunities and risks not considered before.”
@RISK and DecisionTools Suite for Manufacturing & Consumer Goods
A majority of leading companies in the manufacturing sector rely on @RISK and DecisionTools Suite software solutions to meet these challenges head-on, all from the familiar spreadsheet environment. @RISK and the DecisionTools Suite bring robust analytics such as Monte Carlo simulation, optimization, decision trees, sensitivity analysis, and predictive data analysis to Microsoft Excel. This enables users of all levels to contribute to better decision-making – with or without data, and with or without a statistics background.
How Manufacturing Leaders Use Palisade
Optimize multiple suppliers to minimize failure points and maximize probability of deliveries. Identify high-risk areas in the supply chain to create mitigation strategies.
Products: @RISK, TopRank, PrecisionTree, RISKOptimizer, Evolver
Manage inventory more effectively, improve capacity planning, and schedule workforces more efficiently. Reduce time to market and improve delivery rates.
Products: @RISK, TopRank, RISKOptimizer, Evolver, NeuralTools
Gain insight into confidence levels around the risk of equipment failure or safety violations. Identify areas of weakness to ensure quality results and prevent failures.
Products: @RISK, TopRank, StatTools, NeuralTools
Mitigate exposure to commodity price volatility through an optimized options and futures strategy that accounts for uncertainty.
Products: @RISK, TopRank, PrecisionTree, RISKOptimizer, Evolver, NeuralTools
From product lifecycle analysis to Six Sigma quality control and everything in between, Palisade solutions are used to address a wide range of manufacturing challenges.
Includes @RISK and all products mentioned above
We are with Palisade for the long haul. My company is very, very good at engineering leading-edge automotive products. Palisade is very, very good at building risk-based models.”
Director of Risk Management, BorgWarner
Customer Success Stories
Decision Analyst, Unilever
Palisade’s DecisionTools Suite was the tool that best met our business requirements. As a result, it has played a key role in increasing the quality of decision-making and helping project teams to think clearly, act decisively, and feel confident.
Director Design for Six Sigma, Cummins Inc.
What we are trying to do with the Six Sigma program is to cultivate an atmosphere of discipline in decision-making that relies on data. We are interested in enabling engineers to use statistics, and @RISK is a great tool for this.
Associate Director for Investment Analysis, Procter & Gamble
We've trained well over a thousand people throughout the company on @RISK, and PrecisionTree is really powerful for our company.