Search Results: demand planning (328)

Mike Gilliland 0
Forecast Value Added Q&A (Part 5)

Q: ­Company always try to forecast 12 or 24m ahead. Whether we should track accuracy of 1m/3m/ 6m or x month forecast, does that depend on lead time?  How to determine out of these 12/24 months, which month should we track accuracy? Correct, forecast performance is usually evaluated against the

Mike Gilliland 0
Is one-number forecasting a new worst practice?

The one-number forecasting concept has been debated for years. Advocates argue that having different groups within the same organization working to different forecasts is insane. You can't have the supply chain building to X, the sales force selling to Y, and the financial folks counting on revenue of Z. This

Mike Gilliland 0
Lessons from forecasting the stock market

There is a well recognized phenomenon that combining forecasts, derived from different methods using different sources of information, can improve forecast accuracy. This approach, sometimes called "ensemble forecasting," is available in SAS Forecast Server. Per Scott Armstrong's review of 57 studies on combining forecasts, "the combined forecast can be better

Mike Gilliland 0
Larry Lapide receives Lifetime Achievement award from IBF

The Institute of Business Forecasting has named Larry Lapide, Research Affiliate at MIT, as recipient of its "Lifetime Achievement in Business Forecasting & Planning" award -- a much deserved honor! Larry has written a quarterly column for Journal of Business Forecasting for 15 years, and I've been a longtime follower.

Mike Gilliland 0
Too much information for forecasting?

First: A Report from the 67th Pine Tree Festival and Southeast Timber Expo Back in March The BFD investigated the topic of Google-ing yourself (aka egosurfing). I reported on finding a namesake in show business, a self-described "Magic Mike Gilliland" and his sidekick Lollipop the Clown. I attempted to disparage

Mike Gilliland 0
My Offering: Forecast Accuracy Objectives for 2012

Managing expectations for forecast accuracy is very important, as often those expectations are extreme after management invests in a new system. Software vendors have also been known to make overly (choose one: optimistic? sanguine? idyllic?) accuracy claims as part of their sales pitch. Of course, there is no arbitrary level of accuracy

Mike Gilliland 0
SCM Focus on forecastability and over fitting

My Google Alert on "forecastability" paid off with a gem this weekend, in the blog post "Forecastability and Over Fitting" by Shaun Snapp on SCM Focus.  I was not previously familiar with Shaun or this site, but found a lot to like -- in content and attitude. In his post, Shaun kindly

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Mike Gilliland 0
Why forecasts are wrong

This week brought big news of one of the most cruel and heartless tyrants of the 21st century.  This man is known for narcissistic behavior, surrounding himself with a cadre of beautiful women, sleeping in a different place every night, picking new favorites each week, and bringing tears and untold suffering

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Mike Gilliland 0
Announcing: SAS Forecast Server 4.1

Tuesday's release of SAS 9.3 included the new SAS Forecast Server 4.1, which has several valuable enhancements: Combination (Ensemble) Models: A combination of forecasts using different forecasting techniques can outperform forecasts produced by using any single technique. Users can combine forecasts produced by many different models using several different combination

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Mike Gilliland 0
Spring Forecasting Events

We're having an early spring in North Carolina. Trees are budding, flowers are blooming, and the warmer temperatures make even a pistol whipping more enjoyable. What better way to take advantage of the new season than filling your spring with educational opportunities in forecasting. Plan in Perfect Sync with Customer

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Mike Gilliland 0
In Defense of Outliers

If outliers could scream, would we be so cavalier about removing them from our history, and excluding them from our statistical forecasting models? Well, maybe we would – if they screamed all the time, and for no good reason. (This sentiment is adapted from my favorite of the many Deep

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