Forecasting intermittent demand occurs in practice, when creating lead time demand forecasts for inventory planning. creating multiple forecasts of low volume items for a particular period in the future based […]
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EDA: How Data Analysis Becomes a Necessary First Step for Big Data and Predictive Analytics Modeling
When a multidisciplinary research study group at Princeton University undertook a study of the paired uses of electricity and gas in townhouses, it contacted the residents of Twin Rivers, a […]
Read more ›Assessing forecasting performance for lead-time demand forecasts has been a topic herebefore. A lead-time forecast is commonly used in practice for intermittent and regular demand forecasting applications, when planning product […]
Read more ›This is a foundational article about an algorithmic inferential modeling approach that supports an agile consumer-centric demand forecasting and inventory planning process without conventional normal (Gaussian) modeling assumptions. Conventional modeling assumptions […]
Read more ›Consumer demand-driven historical data are characterized to a large extent by seasonal patterns (consumer habits: economics) and trends (consumer demographics: population growth and migration). For the sample data, this can […]
Read more ›In a global pandemic environment, lead-time demand forecasts become increasingly important in planning production capacities, managing product portfolios, and controlling inventory stock outs in the supply chain. In inventory planning, […]
Read more ›In a recent article entitled Improving Forecasting Performance with Intermittent Data – A New Way of Scoring Performance, I gave some insight into why the MAPE (Mean Absolute Percentage Error) […]
Read more ›In an earlier article on Forecasting with Intermittent Demand, a reader asked me whether my (Structured Inference Base) SIB approach for intermittent demand modeling was applicable to daily and weekly […]
Read more ›Demand forecasting and performance evaluation in today’s disrupted consumer demand-driven supply chain environment has become an extremely challenging discipline for business planners to master. For instance, current forecasting performance metrics for […]
Read more ›Intermittency in demand forecasting is a well-known and challenging problem for sales, inventory and operations planners, especially in today’s global supply chain environment. Intermittent demand for a product or service […]
Read more ›With today’s disruptions in global supply chains as a result of the coronavirus pandemic, intermittent sales volumes, shipments and service parts inventory levels are becoming more common across many industries, […]
Read more ›When economic disruptions in the global supply start creating shortages in inventory, demand planners are seeing more intermittent demand in sales and shipment data across the entire enterprise. Intermittent demand […]
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