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Ethical Considerations in Supply Chain Compliance

Logistics Viewpoints

The modern supply chain is a complex network of suppliers, manufacturers, distributors, and customers, all interconnected and reliant on a shared ecosystem of trust and accountability. As industries evolve and global markets expand, ethical considerations have become central to supply chain compliance.

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Lenovo Excels in Supply Chain Planning with a Hybrid Approach

Logistics Viewpoints

Jack Fiedler, the vice president for digital transformation of the global supply chain at Lenovo Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supply chains. We run one of the few truly hybrid supply chain networks. That has worked out well for us.

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Supplier Onboarding is Core to a Digital Supply Chain Transformation

Logistics Viewpoints

When you talk to companies that have implemented enterprise or supply chain applications, executives will usually admit that they have under-invested in training and preparing users to use the new technology. Molex implemented a multi-enterprise supply chain network platform from SAP called SAP Business Network.

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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.

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Supply Chain Planning Maturity – How Do You Compare to Peers?

Today's supply chains are networked, global ecosystems. The COVID-19 pandemic is an extreme example of how this unfolds in practice. How prepared are supply chain teams to react and recover from a planning maturity stance? Time allocated to data collection: Data quality is a considerable pain point.

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Schneider Electric’s Supply Chain Design Journey

Logistics Viewpoints

Schneider Electric has been working to simplify its supply chain over the last few years. This French public multinational was selected as having the best global supply chain by a leading analyst firm. Schneider Electric’s supply chain operation is of great interest to other practitioners.

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Interoperability in the Supply Chain: Leveraging the OSI Model for Seamless Logistics

Logistics Viewpoints

In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Here’s how each layer translates to the supply chain context: 1.

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Common Use Cases for Mathematical Optimization

How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains? Want examples where optimization is used in combination with other types of AI techniques, such as machine learning. Want ballpark estimates of value and benefits achieved through optimization.

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Supply Chain Network Design. Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Read about 5 use cases. Inventory optimization.

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No Fluff ROI: The Top 5 ROI Drivers for Supply Chain Visibility

Speaker: Glenn Koepke, Andy Johnson, and Steve Rotter

To help you chart your supply chain transformation, we gathered best practices from 1,300 of the world’s most recognized brands and we’re sharing them with you!

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. When you finally have the analysis, everything has changed, and it is no longer relevant. Lack of skilled resources.