- All Knowledge
IBF Research Report #20
The S&OP/IBP process stands on three crucial pillars: people, process, and technology. By understanding the components of each pillar, we can develop a most successful process. For that, we mined survey data gathered during a multi-year period by the Institute of Business Forecasting and Planning...
IBF Research Report #19
The Covid-19 pandemic was certainly an unusual phenomenon. Its impact was sudden and dramatic. It was not only local or regional but felt all over the world. Forecasting demand during this time was quite challenging because of unprecedented and rapid changes in consumer behavior. Consumer...
IBF Research Report #18
It is widely recognized that success in S&OP depends on people, process and technology. But what kind of people, process and technology do we need? To answer this question, we data mined the responses to an Institute of Business Forecasting and Planning (IBF) survey to ascribe a forecast error...
IBF Research Report #15
The Sales and Operations Planning (S&OP) process is regarded as the greatest innovation for managing demand. Many books are written on the process. Speakers at S&OP, demand planning, and forecasting conferences tout about its value, and talk about what they have achieved. They have significantly...
IBF Research Report #9
This is a highly specialized study in which we have benchmarked demand planning, forecasting, and S&OP practices in the Aerospace industry. Although there are not too many players in this industry compared to other industries such as CPG, its role in the economy is quite significant with...
Cant find what you need in our Knowledge Base? We’ve designed a system which allows you to find any article from the journal’s 30+ years to read at your leisure. All Journals
Calculate How Much Money You Will Save By Reducing Forecast ErrorExplore the Calculator
What is Croston’s Intermittent Model?
Designed to deal with sporadic demand (no seasonality) with a two-step process. The main goal is to provide a good safety stock, resulting in a situation where there is neither over or under stock. This is accomplished by considering two aspects of the data: the demand size and the…Read on in the Glossary