Author: Rachel Fleischer

Inventory Optimization Considerations

In order to optimize inventory levels, it is necessary to understand that inventory is not one massive quantity. It can be broken into sections that exist for assignable reasons. Some of the most important categories of inventory include anticipatory stock, cycle stock, early arrival stock, marketing stock, obsolete stock, pipeline stock, prebuilt stock, and safety stock. As defined by logistics management cycle stock is the inventory due to production frequencies. Early arrival stock is due…
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The Unfortunate, but Avoidable, World of Detention and Demurrage Penalties

Importers and exporters sometimes get an unexpected surprise when they receive their bill for shipping containers. This comes in the form of detention and demurrage fees which can be a substantial financial loss. What are these charges, and why is it that they can sometimes come as a surprise to shippers? Although it is common to combine detention and demurrage, it is important to know the difference between the two. Demurrage fees “are charged when…
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Three Things to Consider When Developing a Supplier Risk Mitigation Strategy

It’s nearly impossible to navigate a supply chain career without having experienced a supplier disruption at some point. Supplier disruptions come in many forms and range in severity. At best, a supplier disruption forces manufacturers to order materials from a secondary supplier for a brief period. At worst, supplier disruptions halt production for extended periods and can even threaten to shutter a business. Because of their potentially catastrophic consequences, most organizations develop and adopt comprehensive…
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Machine Learning in Supply Chain

Machine learning is not a new topic nor is it new to supply chain. However, it has been garnering a lot of attention within supply chain due to its transformational business potential. Whatis.com defines machine learning as “a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use…
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How the Masters of Supply Chain Sustain Their Status

Apple recently announced its iPhone 8 and iPhone X, grabbing a healthy portion of social media airtime immediately following the announcement, as they so often do. While Apple is one of the most recognized brands in the world today, the company is also known for running a very efficient supply chain. Another company known for its supply chain prowess is Amazon. Following the company’s announced acquisition of Whole Foods earlier this year, wall street analysts…
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