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Three Steps to a Better Statistical Forecast Setup

Arkieva

She shared that her business had implemented a statistical forecasting package from one of the leading vendors during the previous year. She further added that after almost 12 months of going live with the project, any improvements in the statistical forecast accuracy were yet to materialize.

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The Science and Practical Application of Predictive Analytics

Logility

Uses statistical models and forecasting techniques to understand the future. Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Sound familiar?

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Industrial Manufacturing and the Digital Supply Chain, Part 2

BlueYonder

It is about how to minimize setups in your operations, to build large campaigns, and make sure that setup times are optimized. The capabilities required to do this include forecasting. But forecasting has also become challenging in the last couple of years where history does not determine your future.

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You Should Not Always Have Known Better: Understand and Avoid the Hindsight Selection Bias in Probabilistic Forecast Evaluation

BlueYonder

This blog post on forecast evaluation discusses common pitfalls and challenges that arise when evaluating probabilistic forecasts. Our aim is to equip Blue Yonder’s customers and anyone else interested with the knowledge required to setup and interpret evaluation metrics for reliably judging forecast quality.

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25 Lean Manufacturing Tools – 5S, Six Sigma & Beyond

Unleashed

Lean manufacturing tools are systems and techniques that help organisations better manage waste, improve efficiencies, cut costs and increase productivity. Reduced costs: Reducing waste, upping productivity and managing inventory better lead to lower costs and better cash flow.

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Forecasting Few Is Different, Part 1

BlueYonder

When dealing with sales forecasts that concern fast-moving as well as slow-moving items, we must account for the non-proportional scaling of relative forecast uncertainty with selling rates, which largely determines the achievable level of precision. Executive summary. There is no hard boundary between ‘slow’ and ‘fast’ movers.

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The Beginner's Guide to Inventory Control and Management

Supply Chain Opz

So next 2-3 sections we will discuss about forecasting related issues. What is the Best Forecasting Model? Most inventory control and operations management books tell people to choose a forecasting model that produces the lowest forecast errors. So sticking to simple methods always yield better results.