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Dec 12, 2018

Generations of Machine Learning

Machine learning is an umbrella term that includes diverse algorithmic approaches. In supply chain, the historical way of doing machine learning was time-series forecasting. However, this approach has been superseded by a series of superior forecasting approaches.

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Dec 5, 2018

Quantitative Supply Chain For Fashion

Fashion brands are driven by novelty. This puts a lot of pressure on fashion supply chains to reduce overstocks, both to reduce the discount rates but also to make room for the new collections. Overstocks are typically caused by an incorrect prior forecast of the customer demand.

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Nov 28, 2018

Data Science For Supply Chain Forecast with Nicolas Vandeput

Statistical demand forecasting was pioneered in the 20th century, however it can be revisited with better, more modern statistical approaches. Yet, these methods aren't necessarily more difficult to implement than their older counterparts, because software tooling has also significantly progressed. We are joined by Nicolas Vandeput, a Supply Chain Scientist specialized in demand forecasting and inventory optimization. We discuss his new book: 'Data Science for Supply Chain Forecast'.

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Nov 21, 2018

Why Lead Times Are Nearly Always Underappreciated

The lead time is the total amount of time, typically counted in days, associated with the inventory replenishment cycle. The amount of stocks that a supply chain needs to operate tends to be roughly proportional to its lead times. Accurately estimating future lead times is critical for accurately estimating the amount of inventory needed to fulfill future demand. However, it is a fundamental factor that is often overlooked by companies, with a far greater importance being placed on forecasting.

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Nov 14, 2018

Service Level vs. Fill Rate

In supply chain, the service level defines the probability of not hitting a stock-out during the next ordering cycle. However, the fill rate defines the fraction of the customer demand that will be properly served. Service levels and fill rates are distinct, and should not be confused.

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Oct 31, 2018

Transforming Complex Supply Chains with Hervé Hillion

Supply chains have to undergo profound changes to benefit from software innovations such as predictive optimization technologies. However, transforming complex, many-decade old organizations is difficult. We are joined by Hervé Hillion, one of the founding members of SAY Partners. Hervé explains how change can be effectively conducted across an entire supply chain.

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Oct 17, 2018

Inventory optimization for an aerospace MRO

An aerospace MRO needs to optimize its inventory in order to both minimize the number of AOG incidents and minimize the amount of stocks, typically held in the form of rotables. We are joined by Antony Nardozza, the Head of Inventory Solutions at OEM Services, who previously worked for both Airbus and Spairliners.

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Oct 10, 2018

Forecasting For Aerospace

Forecasting demand in aerospace is difficult because demand is both highly erratic and intermittent. Also, TAT (turnaround times) need to be forecasted as well. In practice, probabilistic forecasts are required to achieve any meaningful results in the aerospace industry.

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Oct 3, 2018

Is Forecasting High Growth Possible?

Growth, and more generally trends, needs to be taken into account in order to deliver accurate demand forecasts. However, growth; as a statistical pattern, proves to be more difficult and more elusive to capture than other well-known patterns such as seasonality.

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Sep 26, 2018

3PL in Global Supply Chains

3PL - or third-party logistics - represent a way for companies to externalize their warehousing, distribution and fullfillment. Often when ordering a product on Amazon or eBay for example, the merchant is not actually going to ship the product directly to you themselves and instead uses a specialized company called a 3PL who ships the product on their behalf.

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Sep 19, 2018

How To Forecast Seasonality

Seasonality is one of the major cyclical patterns that can be used to improve forecasting accuracy. Most supply chain processes tend to be seasonal to some degree. Not only because of demand, but also lead times.

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