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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

” Traditional planning models optimize functional processes to improve cost and customer service. In today’s architectures and functional metrics, value optimization does not exist. The goal is to use functional optimization to improve reliability while aligning all process and performance outcomes to a balanced scorecard.

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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?

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Manufacturing ERP Software Comparison: Guide to Buying in 2025

RFgen

Think of it as a single source of truth for everything from production planning and inventory management to financials, supply chain, and even the shop floor. This prevents stockouts, reduces waste from overstocking, and optimizes your warehouse operations. Its a powerful solution for complex manufacturing operations.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Source: Supply Chain Insights ASCM defines resilience in the SCM Supply Chain Dictionary as the ability of a supply chain to anticipate, create plans to avoid or mitigate, and to recover from disruptions to supply chain functionality. I would then consider taking five actions: Build on the Power of Existing Networks.

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. The discipline, first defined in 1982, includes source, make, deliver, and planning functions. Until there are clear answers, business leaders should avoid buying software from companies with deep investments by venture capitalists. Kinaxis Purchase of Rubikloud.

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Do You Need a Graph?

Supply Chain Shaman

The basic frame of supply chain planning–functional taxonomies for optimization on a relational database–must be redesigned before supply chain leaders can reap the benefit of deep learning, neural networks, and evolving forms of Artificial Intelligence (AI). Graph architectures also use different optimization technologies.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.