This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
From small job shops to large captive operations, it is now common to find connected devices offering instant feedback loops, increasingly underpinned by artificialintelligence (AI). Our May, 2025 print edition offers five stories that unpack data-driven manufacturing and showcase its role in a variety of shop settings.
SEER Robotics said its RDS system acts as a “central neural network” by integrating with enterprise-level business software such as manufacturingexecutionsystems (MES) to enable data exchange and task distribution.
I heard from Hannover Messe that AVEVA was launching a hybrid/cloud MES solution. Why hybrid cloud MES? Today’s manufacturing is high speed/high volume, need to get closer to the edge, closer to the critical control, the machines, yet we need to move data from edge to cloud. I get why edge, but why cloud?
Top 16 Frequently Asked Questions About ManufacturingExecutionsystem (MES). The manufacturing industry, like any other industry, is rapidly expanding. Successful manufacturing businesses are adaptable and consistently improve their overall operating efficiency. Can MES software fit every manufacturer?
In today’s rapidly evolving business landscape, the integration of Environmental, Social, and Governance (ESG) principles has become crucial for manufacturing companies striving for sustainability. New Pathways for Sustainable Manufacturing Success The shift toward sustainable manufacturing practices opens a myriad of growth opportunities.
Digital transformation insights Digital transformation enables manufacturing companies to accelerate business growth through digital technologies to transform operations. Transforming manufacturing with digital tools can help companies become sustainable, socially responsible and profitable. AI is everywhere.
Moreover, given that data sharing is fundamental for future-oriented, smart manufacturing, modern control systems now use standardized, technology-agnostic communications protocols for more integrated communications between PLCs, HMIs and SCADA.
Rockwell works with partners to streamline automated manufacturing. Source: Business Wire Rockwell Automation yesterday announced that it is working with Microsoft “to enable intelligent factories by simplifying complexity and helping empower customers to achieve sustainability goals and operational excellence.”
How to automate insights Automation continues to enable manufacturing efficiency with fewer experienced workers available, Control Engineering explains in the “How to automate” August 2023 print and digital edition.
Parsec Automation , a developer of manufacturingexecutionsystem (MES) TrakSYS , has released the first of its two 2024 State of Manufacturing Surveys. The results show that 76 percent of manufacturers across North America and Europe have at least started implementing digital strategies.
New automation features in the evolved IFS Cloud include a streamlined manufacturingexecutionsystem (MES) to improve product quality control and performance and the use of AI and historical data-driven work schedules and job completion times to improve accuracy for technical productivity.
MES and automation and control systems work together to ensure the steps are executed properly and completely before moving on to the next step. Properly deploying an MES can result in reductions in material and labor costs, productivity and batch yield increases and reduction in material waste.
AI, or artificialintelligence, and advanced data analytics have dominated the manufacturing operational technology (OT) discussion for the last several years. Larger manufacturers started making the shift to predictive maintenance and then predictive quality about five years ago.
In my last blog , I introduced the topic of artificialintelligence (AI) in the complex discrete manufacturing space, noting that companies need to take certain steps to prepare for AI adoption. Solving Aerospace & Defense Manufacturing Challenges with AI The production process takes too long.
The aerospace and defense (A&D) manufacturing sector is approaching a pivotal moment. A Shifting Workforce in A&D Manufacturing Recent research shows that over 29% of the A&D workforce is over the age of 55, signaling an impending wave of retirements, projected to persist for the next 10 to 20 years.
Since the launch of ChatGPT in November 2022, artificialintelligence (AI) has taken the world by storm. The Current State of AI in Complex Discrete Manufacturing AI clearly has staying power and will continue to gain momentum as new use cases and applications are discovered. Predictive analytics is another area where AI excels.
Manufacturing companies in Europe and North America are facing severe operational challenges as seasoned workers retire and young talent remains scarce. Meanwhile, intense competition from startups is driving innovation, forcing manufacturing industry leaders to rethink their growth strategies and adapt to the evolving landscape.
Manufacturing AI insights The integration of AI into discrete manufacturing aligns with the concept of Industry 4.0, The future of AI in manufacturing will be able to help with machine learning algorithms to reduce downtime, improve efficiency and extend equipment lifecycles. Artificialintelligence (AI) is everywhere.
Automation helps manufacturers expand when skilled workers are unavailable. Manufacturers can prepare to respond to threats that extend beyond their organization, often targeting their vendors and supply chain, Deken said. Original equipment manufacturers (OEMs) can achieve better profitability, productivity, and customer satisfaction.
Smart manufacturing insights Smart manufacturing can provide many benefits for companies, but many haven’t embraced it because they don’t know how to take the first step, or they aren’t sure about its potential benefits. are helping transform the manufacturing industries back into an economic powerhouse.
Grant awarded to increase artificial intelligen ce and robotics use in poultry processing Researchers in two states were awarded a $5 million grant to increase use of artificialintelligence (AI) and robotics in chicken processing.
Transferring knowledge is a key component for manufacturing jobs and it is often incomplete, leaving new workers at a disadvantage. A people-centered approach to digital transformation can help process manufacturers enhance knowledge transfer and empower workers at all levels of the organization. Digital transformation insights.
How does OEE Help in the Food Manufacturing Industry? Overall Equipment Effectiveness (OEE) is the go-to metric for food manufacturing facilities to recognise losses and benchmarking advancement toward improving throughput performance. It's used to figure out what percentage of manufacturing time is productive. Read Our Blog.
A major step toward a modern factory is tightly integrating MES with PLM to create closed-loop data feedback. These two applications are at the core of your business, yet most manufacturers still use manual data entry to exchange information between them. Wouldn’t it be a treat if your PLM and MES could work together?
This momentum towards personalized care through precision imaging, coupled with the expanding integration of cloud infrastructure and artificialintelligence (AI) in healthcare facilities, along with the evolving focus on AI-driven imaging algorithms in cardiology, is driving the industry’s overall growth trajectory.
As the industrial automation landscape continues to transform rapidly, manufacturingexecutionsystems (MES) are becoming pivotal for optimizing production processes and ensuring operational efficiency. Recent developments highlight a shift towards agile, data-driven systems, reflecting the trend of Industry 4.0
Different stakeholders — from manufacturers to policymakers — are focusing on agile and eco-friendly practices as disruptive technologies converge with shifting customer needs. Utilizing data collected from smart sensors and automated control systems for real-time analysis.
Comprised of the key software players in the additive manufacturing market, it enables to complement its innovative in-house software portfolio to deliver the most comprehensive End-to-End additive manufacturing software solution set in the market. One of the supreme disciplines on the road to Industry 4.0
Learning Objectives Understand how a material handling focus can help manufacturers, distribution centers and warehouses. Warehousing, distribution center insights A material handling focus can help manufacturers, distribution centers and warehouses, as Siemens explained at ProMat 2023. Review ProMat 2023 Siemens product announcements.
As remote automation increasingly involves multiple data producers and many distributed consumers, the need for intelligence at the edge becomes essential. Edge computing brings decision-making and intelligence as close to the process as possible. Manufacturing digitalization: Think differently, working smarter. Inside Machines.
Bundy Group , an investment bank and advisory firm, provides an update on mergers & acquisitions and capital placement activity for companies that address the manufacturing and plant management fields. This acquisition further advances Advantive’s commitment to driving innovation in the manufacturing and distribution lifecycle.
By integrating data, connectivity and human skills, connected worker platforms not only address the challenges factories face today, but are helping shape manufacturing’s future. The seamless flow of real-time data across these systems improves coordination and streamlines the decision-making process, further bolstering productivity.
Learn about an example of prescriptive data analytics that provided manufacturing benefits. The place to start is in the manufacturing facility, specifically in the operational technology (OT) stack. It also tries to optimize and set the system to be able to provide suggestions about how to improve on those outcomes.
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. It is the next step, right?” Robling noted.
It’s hard to remember the days before we had lots of data at our fingertips as artificialintelligence (AI) has permeated every aspect of our lives. Manufacturing has not been left out. Enter the ManufacturingExecutionSystem (MES). Subscribe to learn the latest in manufacturing. End Note. [1]
The integration of advanced systems like the ManufacturingExecutionSystem (MES) and the Industrial Internet of Things (IIoT) enables real-time monitoring of production processes, improving quality, productivity, and traceability. Marposs is strongly committed to supporting the digital transition in manufacturing.
But not in the MES area that I began my software career working with. The companions to software have been security and artificialintelligence (AI). In todays news, we have AI assisting visual inspection (in a way a quite old application updated with new developments) integrating with MES.
Proactive companies are aggressively implementing cutting-edge technologies like artificialintelligence (AI) and the Industrial Internet of Things (IIoT) to optimize their operations and achieve competitive growth. The post Is Your Organization Benchmarking Leading Manufacturingexecutionsystem Companies to Gain a Competitive Edge?
We organize all of the trending information in your field so you don't have to. Join 45,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content