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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

With the contraction of air capacity and the unprecedented level of imports to the United States from Asia, logistics constraints grew in importance in the pandemic. Air expediting took on a new meaning in January, with air capacity down 18% and escalating prices. In addition, build a planning master data management system.

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The Value of a Manufacturing Control Tower in Industrial Equipment Manufacturing

DELMIA Quintiq

The MCT provides centralized data management capabilities with near-real-time visibility in a unified view of the current conditions in factories and operations. Powered by the 3DEXPERIENCE platform, DELMIA takes a model-based, data-driven approach by connecting the virtual and real worlds of manufacturing and operations.

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Three Tough Headlines: What Can We Learn?

Supply Chain Shaman

I worked with consultants defining a business case for cloud-based supply chain solutions and new vendors looking to use artificial intelligence to solve the problems of master data management. The ports of Long Beach and LA, representing 40% of port capacity in the United States, are gridlocked. The port is landlocked.

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4 Ways Big Data is Changing Inventory Management

EazyStock

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

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Conquering the Explosion of Supply Chain Planning Data

Logility

Digital transformation of a supply chain involves creating a detailed data model, or ‘Digital Twin,’ that mirrors the intricacies of an actual end-to-end supply chain. Building a digital twin involves capturing, standardizing, blending and modeling both structural supply chain data (capacities, lead-times, network relationships, etc.)

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Highlights of Kinexions 2022 Customer Conference- Part Two

Supply Chain Matters

Risk aware was described as more dynamically flexible supply networks, the optimization of specific buffers such as capacity as well as inventory, or flexibility in supply chain network design.

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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Businesses can access historical data, market trends, and other external factors and, by plugging in predictive analytics, gain invaluable insights that streamline inventory management, demand forecasting, transportation planning, risk mitigation, and overall decision-making processes.