Remove Analytics Remove Big Data Remove Metrics Remove Procurement
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Seven Mistakes You Wish Your CFO Had Not Made You Make

Supply Chain Shaman

The Chief Financial Officer gained more presence with procurement and IT reporting to finance. As a result, focusing on cost and efficiency, and functional metrics throws the supply chain out of balance. Over the past two decades, organizations have become more insular and less willing or able to share meaningful data.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

Optimization engines to improve functional metric performance resulted in an exploding number of planners. Build a supply planning master data layer to capture supply variability of inbound receipts, conversion rates, yield, run-rates, and other variables. Current approaches result in black hole automation and bullwhip amplification.

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What Makes a Mature Planning Organization? (Part 2)

Supply Chain Shaman

Closing the gaps happens when there are aligned metrics, clarity of vision and aligned planning processes. They also are clear that the supply chain is defined outside-in based on the channel requirements and the underlying rhythms and cycles of fulfillment, manufacturing and procurement. Metrics Alignment. They lack cohesion.

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Best Practice: Creating a Governance Mechanism for Analytical Learning in Organizations

NC State SCRC

I recently interviewed a large semiconductor company that developed a cross-enterprise initiative to drive analytical learning across its entire supply chain. There are systems directors in both the procurement and logistics/planning teams. The company established a supply chain IT organization that reports up to the CIO.

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Supply Chains in Recovery Mode: Forcing C-Level Focus on Digitally Transforming Their Supply Chains for 2022 and Beyond

BlueYonder

Followed by focus on big data analytics where companies began leveraging BI (business intelligence) tools for data-driven decision making. Transport costs are soaring to ridiculous levels, especially for those shippers that did not have an organized procurement strategy for freight movement.

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How Machine Learning Is Redefining Supply Chain Management

IQMS

The algorithms iteratively query data with many using constraint-based modeling to find the core set of factors with the greatest predictive accuracy. Machine learning is proving to be invaluable in analyzing machine-derived data to determine which causal factors most influence machinery performance. Preston, D. S., & Swink, M.

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Innovation in Supply Chain Management: Driving Efficiency and Success

American Global Logistics

It involves coordinating and integrating various activities, from procurement to production to distribution, to ensure the seamless flow of goods and services. Big Data analytics Artificial intelligence and machine learning enable predictive analytics and demand forecasting, facilitating better decision-making.