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The Case for Real-Time Perpetual Inventory Signals in Manufacturing

ToolsGroup

Once upon a time, the world of manufacturing was a relatively stable place. So how does a manufacturer navigate this rollercoaster? According to Gartner , these issues can lead to missed manufacturing deadlines and wasted capital. And that’s where real-time perpetual inventory signals come in.

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Supply Visibility: More Important Than Ever. Yet Elusive.

Supply Chain Shaman

Warehouses are full–often with the wrong stuff resulting in the slowing of the forty million shipping containers around the world. Linkedin Comment Donald Cavin Data Warehousing Consultant at Ohio State University Comprehensive Cancer Center-James Cancer Hospital & Solove Research Institute. The list goes on and on.

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Ultimate Guide To Technologies That Are Transforming Supply Chains

The Logistics & Supply Chain Management Society

Manufacturers can gather valuable granular data such as the time an item spent in storage, at what temperature, how long it took to sell, the length of time between purchase and fulfillment and how long it spent in transport. Robotics enabled with AI and ML augment the work of humans in warehouses and distribution centers.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

At the time, only a little over 40% of respondents indicated that they used some form of advanced analytics for decision support. Another use case we see for scenario modeling in the current context is evaluating new sourcing locations. You can study optimal sourcing locations while minimizing both production and distribution costs.

Modeling 361
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Strong Supply Chains Required For an Economic Rebound: Six Steps To Take

Supply Chain Shaman

My first focus was on China sourcing. The healthcare value chain was slow to respond—the majority of Personal Protective Equipment (PPE) was in Chinese warehouses. China was the source of over 90% of PPE.) Figure 1 shows a market-by-market planning model by a sinus drug manufacturer. Step #5 Safe Manufacturing.

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

A large consumer products manufacturer with nine Enterprise Resource Planning (ERP) instances and several divisions wanted to discuss forecasting. The Company focused primarily on retail planning and wanted to extend its capabilities into a consumer products manufacturing solutions offering. The taxonomies and goals are different.

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Learning to Speak the Language of Demand

Supply Chain Shaman

New forms of analytics make new capabilities possible. Let’s start with these: Demand Sensing: The reduction of time to sense purchase and channel takeaway. Demand Latency: The latency of demand signal due to demand translation of a customer purchase through the supply chain to an order for a trading partner.