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9 Critical ERP Features for Discrete Manufacturers

OptiProERP

Manufacturers need specific functionality to run their businesses effectively. Let’s examine what ERP functionality is critical for discrete manufacturers. Manufacturers rely on their inventory to build their products, so they need to have the correct amounts on hand at all times. Inventory Management. Supply Chain Management.

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Time for a Supply Chain Metrics Cleaning

Logility

At the top of the Gartner Hierarchy of Metrics is “Demand Volatility” reflecting that forecast accuracy (Read Eight Methods that Improve Forecasting Accuracy white paper) has the largest direct effect on the allocation of available capacity and resources.

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11 Tips to Take Your Supply Chain Career to the Next Level

SCMDOJO

Successfully managing projects showcases your capacity to bring about positive change within the organization. Connecting with like-minded professionals in these communities not only expands your knowledge base but also fosters valuable connections. Take your time exploring career paths before committing.

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9 Predictions from o9 for 2022

o9 Solutions

It won’t come from a direct attack on supply chain systems and tools, but rather it will start from being linked to an unsecured data source. With that much data to search, it takes time to find the source of the breach. Leverage Technology in Industrial Manufacturing. That’s where bankruptcy comes into play.

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Digital Transformation Facilitates On-Time Delivery

Aera Technology

The problem is only worsening as pharmaceutical manufacturers struggle with growing complexity across a highly volatile global supply chain. Legacy applications use static, rule-based calculations to determine a reasonable promise date for a particular drug or customer. This article originally posted in Pharmaceutical Manufacturing.

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Making AI Work

Enterra Insights

He explains, “Companies of all kinds — including manufacturers and industrial companies — are collecting huge amounts of data, and there’s no doubt that AI, if properly done, could help make production significantly cheaper, more efficient and safer. 4] They are: 1. Not enough data. For AI to work, it first has to learn.