Low-code: accelerating digital transformation
Productivity issues, skill shortages and business project backlogs are the main reason that low-code solutions will make up 65 per cent of application development by 2024, according to Gartner.
MOM Vs MES, Which is best for Industry 4.0
The dilemma rests with whether Manufacturing Operations Management (MOM) or Manufacturing Execution System (MES) is a holistic solution to achieve Industry 4.0 transformation.
From Downtime to Uptime - the Need for Predictive Maintenance
Manufacturers have long dealt with equipment failures. While they may be inevitable, equipment failures should not cause serious downtime, eat into profits or make manufacturers overspend their budgets.
7 Critical Flaws in the Manufacturing Supply Chain and How to Correct Them
The manufacturing sector seems to be experiencing delays and disruptions far more than other industries. Part of this is because of others' reliance on it, and another reason is the commonality of critical flaws within supply chains.
Four Steps to Reducing Manufacturing Risk
When manufacturers want to implement a new production line, they are examining all of the possible risks and scenario planning for every reasonable action that could either prevent or mitigate a risk if it materializes.
Scale Production Value With an Expert Execution System
Data is gold. Yet, for many manufacturing professionals working at the Edge of advanced, multi-step production-its fundamental value remains buried deep.
Obsolescence Management for Manufacturing - Minimizing Unplanned Downtime
It is estimated that almost every factory loses at least five per cent of productivity, with some experiencing as much as a 20 per cent loss, due to downtime. This translates into millions of dollars in revenue loss.
4 Steps to Take Now Toward Achieving CMMC Compliance
Your role in protecting sensitive defense information from cybersecurity threats is imminent. And so is your requirement to prove that you're up for the task.
8 Causes of Lost Productivity in Manufacturing and How Managers Can Address Them in 2022
Addressing lost productivity is particularly critical in today's climate. Despite technological advancements and economic growth, manufacturing productivity has declined since 2010, likely for the first period in American history.
Cincoze CV-117/P1001 Enhanced Productivity for Stone Processing Machine
Due to the working environment in the factory or machine shops is humid and dusty, the panel PC should be resistant to water and various substances. Besides, the panel PC was required to be easy to integrate, maintain and upgrade.
Manufacturers Making the Right Connections: IoT, 5G and Scaled Growth
Manufacturers need to prioritize technologies such as 5G and IoT as they continue to develop and become more available throughout the organization in order to streamline their operations and survive In our digital-first future.
How Will Labor Shortages Impact Metal Fabrication in 2022?
The American Welding Society estimates a 400,000-worker shortage by 2024. The urgent need for more welders and higher skill levels among welding personnel is widely known and accepted in the U.S. manufacturing industry.
Digitization in Manufacturing: Top 5 Reasons & Benefits
By implementing intelligent processes, data processing enables the creation of strong manufacturing roadmaps, improves product quality, and influences end customer sentiments.
Advantages of Digital Thermal Processing
Digital Thermal Processing tools bring a sustainable approach and a new means of delivering applied energy for manufacturing. Allowing designers to build what they imagine, resolving the limitations of materials and processing temps on product design and manufacturing.
HEIDENHAIN In Action at OMIC
Exciting manufacturing research is happening daily at OMIC R&D (Oregon Manufacturing Innovation Center - Research & Development) and many types of HEIDENHAIN precision measurement components are working inside.
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Engineering - Featured Product
Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
