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1 As digital transformation accelerates, manufacturers must decide whether to adopt a purpose-built ManufacturingExecutionSystem (MES) tailored to their needs or rely on generalized solutions designed for broader use or point solutions that come up short.
Source | Progressive Components Progressive Components presents ProFile v4, a cloud-based system for mold monitoring and asset management. Its collaborative workspaces and role-based access are designed to ensure everyone has the information they need when needed.
Think of your stack of digital technologies as an ecosystem, where the more the individual solutions interact and support one another, the stronger the whole system becomes. It Starts With Communication In paperless manufacturing , communication is key.
The integrator used a connectivity module to improve their enterpriseresourceplanning (ERP) and other systems to provide better data and information flow throughout the company. Introducing ERP connectivity in manufacturing operations . These systems are most effective when they work together. .
Data analytics will also provide a repository of information for long-term strategic decision-making, helping manufacturers identify problems before they lead to shutdowns, optimize their plant flow and enhance productivity. Analyzing this data allows plant operators to identify bottlenecks and optimize resource allocation.
Integrating connected worker platforms with other factory systems such as enterpriseresourceplanning (ERP) and manufacturingexecutionsystems (MES) promotes holistic factory management.
Epicor, a global leader of industry-specific enterprise software, works hand-in-hand with its customers to create software solutions and services in a single source to improve efficiencies and productivity in the manufacturing sector, which results in major competitive advantages. We are not afraid to develop new applications.”
The floor plan for Figure AI’s BotQ manufacturing facility. Source: Figure AI Humanoid robots have been slowly making their way into the workforce. However, one question remains unanswered: How will robotics companies make these complex systems at scale? Figure AI Inc.
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