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3 Core Metrics & 10 Soft Metrics for Measuring Supply Chain Performance

GlobalTranz

3 Key Metrics for Measuring Supply Chain Performance Beyond Cost Reduction. If cost reduction is not the only thing to measuring supply chain performance, that begs the questions: "Maybe we should be measuring other Supply Chain Management activities and what would they be?". Read more. . Read More. .

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Building a Triple A Supply Chain: Ten Tactics That Work

Supply Chain Shaman

We consistently see that companies focused on functional excellence–a focus within a functional silo like manufacturing, transportation or distribution– or singular metrics– like inventory or costs– underperform against their peer groups. Reward teams for cross-functional metrics. Customer-Centric Supply Chain.

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Unlocking Efficiency with AI in Business Process Automation

Elementum

Internet of Things (IoT): Extending the Reach of BPA Internet of Things (IoT) enhances BPA by providing a continuous stream of real-time data for ML analysis, crucial for automating and refining operations. Common performance metrics include process completion rate and the number of automated tasks.

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The Evolution of Logistics: Connectivity, Data Integration, and Virtual Design

SCMDOJO

From the ubiquity of the Internet and various electronic gadgets, we are now in the era of next-level digital space where businesses and individuals can easily leverage the power of cloud computing, big data analytics, AI, and the Internet of Things (IoT).

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Measuring Up?

Supply Chain Shaman

The supply chain is a complex system with finite, and non-linear relationships between supply chain metrics that drive balance sheet results. We find that companies can improve one, but not two of the metrics. Teams struggle to drive improvement in both metrics at the same time. A Look at History. Resiliency.

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Conquering the Explosion of Supply Chain Planning Data

Logility

Structured and unstructured data including that from social media, Internet of Things (IoT) and Blockchain sources continue to stream in but much is left untouched. The Internet of Things (IoT), unstructured data streams and the like were not part of our vernacular. Organizations are simply overwhelmed.

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How Can Life Sciences Supply Chains Navigate a Disrupted World?

Logility

Digital twins can integrate a variety of data sources, including the Internet of Things (Industry 4.0), artificial intelligence (AI) and advanced analytics. It also reduces carbon dioxide emissions by about 100,000 metric tons.”. Advice to the C suite – disrupt yourself or be disrupted.” Brad Pawlowski, Accenture.