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4 Tips For Better Process Manufacturing Planning and Forecasting

Logility

With the right technology, process manufacturing strategy, planning, and management can be simplified. Manufacturers have been through a trial by fire with supply chain disruptions and changes in demand during the past two years. 4 Digital Solutions That Address the Top Challenges for Process Manufacturers.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. The decline in inventory turns uses cash. Insights from market data to drive bi-directional orchestration.

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7 Things To Consider For Efficient Spare Parts Management

SCMDOJO

In the world of manufacturing and maintenance, effective spare parts management is essential for maximizing equipment uptime and reducing costs. In this detailed guide, you’ll delve into the most effective ways to manage spare parts. Yet, handling spare parts can be tricky and needs careful planning and execution.

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Six Must Have Supply Chain Capabilities for Success in the Food and Beverage Industry

Logility

Today, we continue this conversation and look at six must have capabilities that drive supply chain improvement for F&B manufacturers. Accurate forecasts help minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution and ensure confidence in company projections. Advanced Inventory Management.

Beverage 100
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Planned Obsolescence in the Durable Goods Industry

Logility

Planned obsolescence , or built-in obsolescence, is a policy of planning or designing a product with an artificially limited useful life, so it will become obsolete after a certain period of time. To some extent durable goods manufacturers can predict aggregate demand based on the average useful life for their products.

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Planned Obsolescence in the Durable Goods Industry

Logility

Planned obsolescence , or built-in obsolescence, is a policy of planning or designing a product with an artificially limited useful life, so it will become obsolete after a certain period of time. To some extent durable goods manufacturers can predict aggregate demand based on the average useful life for their products.

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Cognitive Technologies in the Retail Space

Enterra Insights

If you are wondering of what use these capabilities are, Muktabh Mayank Srivastava, Co-Founder and Chief Data Scientist at ParallelDots, provides a few examples for all the stakeholders in the retail supply chain from manufacturers on the supply side to consumers on the customer side.[3] Last mile delivery is no exception.