Remove Manufacturing Remove Metrics Remove Optimization Modeling
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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. To build an outside-in model, and use new forms of analytics, we must start the discussion with the question of, “what drives value?” My advice?

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Beyond Cost Optimization: Building Resilient Supply Chains in an Unstable Trade Environment

Logistics Viewpoints

Lean models alone are no longer sufficient. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. When a critical Tier-2 supplier is affected by a tariff policy change or regional shutdown, the ripple effects often catch manufacturers by surprise.

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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Most of the answers will fall into categories: Engines: The improvement of the math in models to improve decisions. Building a software company is hard work. Ask for use cases.

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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. Meanwhile, advances in AI-driven route optimization reduce unnecessary mileage, cutting emissions and costs. Reducing carbon emissions is a cornerstone of this effort.

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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. Public Reporting: Publishing sustainability reports and ethical compliance metrics to highlight progress and areas of improvement.

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Please Don’t AI Stupid

Supply Chain Shaman

The issue is that when companies optimize functional metrics, they throw the supply chain out of balance and sub-optimize value. Traditional approaches built optimization on top of relational databases. This shift improves modeling options and the use of disparate data. Today, the bright and shiny object is AI.

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8 Warehouse Optimization Tips from Manufacturing Experts

RFgen

But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?