Browse Our Supply Chain Catalog

Gain an understanding of Product Lifecycle Management (PLM), including balancing supply with demand, assessing and mitigating supply plan risk, managing supply constraints, and allocating limited resources. In addition, explore various methods to help you gain an understanding of the principles behind effective PLM strategy.

Learn how to use the inside information from experts, executives, and customers to make your forecasts more complete, including how to use qualitative forecasting methods such as the Jury of Executive Opinion, Delphi, and Salesforce composite. Gain an understanding of when to use customer surveys and test marketing to enhance forecasts. Gain insight into when personal incentives can bias forecasts and how to correct them.

Learn how to accurately forecast by using trends, cyclicality and seasonality, including how to separate patterns from noise and use quantitative forecasting methods such as the naïve, average, moving average, weighted moving average, and exponential smoothing.

Deep dive into reverse logistics and its importance in the food and pharma industry by exploring both the fundamentals of planning and executing transportation as well as best practices for optimal efficiency. In addition, learn how to identify issues with current transportation methods and develop strategies that improve overall operations.

Gain the knowledge and skills to manage risk in Sales & Operations Planning (S&OP) using decision modelling. In addition, learn how to use a what-if analysis approach to quantify potential outcomes from S&OP decisions, so that you can make data-driven decisions which optimize profits.

*COMING SOON* Gain an in-depth understanding of safety stock, including statistical techniques, distributions, and how to calculate your safety stock needs using the King's Method which will protect you from supply and demand uncertainty.

Explore the sales and operations planning (S&OP) process, including S&OP objectives, context, and methodology. Additionally, learn to develop effective strategies for aligning sales goals with operational performance and learn how to effectively manage monthly S&OP processes to optimize inventory levels, production schedules, resource allocation decisions, and customer service.

Discover the untapped capabilities of your supply chain with SCOR DS (Supply Chain Operations Reference for Design and Source processes). Harness the full potential of the SCOR framework's Design and Source processes for optimal efficiency, resilience, and strategic alignment within your organization.

Learn how to apply the DMAIC methodology of Define, Measure, Analyze, Improve, and Control (DMAIC) in a Six Sigma project, including how to assess processes and identify areas for improvement. Discover how to use the "Analyze", "Improve" and "Control" phases of the DMAIC process to ensure improvements are measurable and sustainable over time.

Explore the conceptual, analytical and practical aspects of designing experiments. In addition, learn about the failings of traditional experimental design and the benefits of designing a Full Factorial experiment which if done correctly gives the maximum knowledge gain for the lowest cost, every time. Also, learn how to use the results of your designed experiment to create a predictive model and all without the complicated statistics.

Deep dive into Measurement System Analysis (MSA) and Gage Repeatability & Reproducibility (Gage R&R). Develop an understanding of the procedures used in MSA/Gage R&R and how they are applied in the Six Sigma DMAIC process.

Explore the fundamentals of Six Sigma and the DMAIC (Define, Measure, Analyze, Improve, and Control) methodology. Learn how to effectively define a problem by using different Six Sigma tools and processes. Discover how to use these tools in order to measure progress during your project. Learn how to apply principles in order to complete a successful Six Sigma project.

Learn how to use statistical methods for monitoring and controlling processes. Explore probability distribution simulations, process capability analysis and create control charts from scratch. Discover how to identify areas in your organization where controls can improve quality and reduce costs.

Explore the foundations of Six Sigma and concepts such as understanding quality and the Taguchi loss function. Deep dive into Failure Mode and Effects Analysis (FMEA) and learn how potential failure modes within a system can be identified, analyzed and addressed. Discover best practices for implementing FMEA, including process analysis and criticality assessment.

Explore measurement tools such as data collection and analysis, statistical process control and identifying process capability. Learn how to apply these tools to measure current performance levels and identify areas for improvement, as well as strategies for measuring and monitoring improvement efforts over time. Learn how data from this stage can inform decisions made during the subsequent Analyze, Improve, Control phases of DMAIC.