Remove Metrics Remove Predictive Analytics Remove Warehousing
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10 Must-Read Supply Chain Analytics Books for 2023

SCMDOJO

If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.

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The Three Pillars of Sustainability in Supply Chain and Logistics: A Strategic Guide

Logistics Viewpoints

Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change. Warehousing operations also offer opportunities for sustainable transformation. These efforts not only protect worker rights but also build trust with stakeholders and consumers.

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Key Tools and Technologies to Build the Warehouse of the Future

DELMIA Quintiq

Warehouse management is no longer the static element in the supply chain, but an area that’s ready for smart transformation. This makes warehouse digital transformation a reality in order to sustain business and thrive amidst increasing competition and market pressures. billion in 2020 and is projected to reach USD $14.18

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Track the Supply Chain Metrics that Really Matter

Precoro

To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.

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2022 Realities vs 2023 Predictions

The Logistics & Supply Chain Management Society

2022 Realities vs 2023 Predictions. While many transportation leaders would say the greatest challenge following extreme weather events is the impact on short-term rates and budgets, the potential impact on production facilities and warehouses can be just as significant. 2022 Realities vs 2023 Predictions.

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Strategies for Attracting and Retaining Top Talent for Warehouse Jobs

RFgen

Warehouse jobs form the backbone of efficient supply chains, yet the warehousing and logistics industry faces a significant challenge: attracting and retaining skilled talent in a competitive labor market. This underscores the critical importance of addressing workforce challenges in the warehouse sector.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Warehouse management systems rely on RF scans of locations and products. Data fabrics need to work across an AI and Analytics lifecycle. So, we deploy an agent on an SAP environment.