8 Safety Metrics to Start Tracking Today

Here we will introduce you to some useful health and safety metrics your organization should be tracking both to show where you currently stand and to help you set future goals for your safety program.

Tolerance Attainment in Micro Molding

When manufacturing micro parts and components, it takes a coordinated team of experts in design, materials, tooling, molding, validation, and automated assembly to successfully manufacture customer parts at high volume.

Optimizing Warehouse Cold Storage Capacity and Longevity

Freezer and cooler storage pallet rack must withstand some of the greatest forklift abuse in warehouse material handling. This can be attributed to a number of factors including confined space, slick surfaces, and the cold temperatures.

6 Reasons to Choose EDM Over Traditional Machining for Better Results

EDM - could be classified as one of the most useful in a modern shop. Also called a spark machining tool, the device uses sparks, or electricity, to cut through materials. It uses thermal energy to make the cuts by removing material.

Major IoT Trends to Expect in 2022

5G networks are opening new opportunities to manufacturers including speeding-up the IoT with faster data transfer rates and more efficient connections and communication between devices. Therefore, 5G will be key to the growth of the IoT in 2022.

Benchmarking Photo Chemical Etching for Precision Metal Applications

The unique characteristics of PCE overcome many of the issues associated with more traditional metal cutting technologies, and as such - in some instances - when looking for a cost-effective solution for the manufacture of precise metal parts, it is the only viable choice.

SYSRPO 2021 Manufacturing CFO 4.0 Report

When manufacturing CFOs were asked about the top business risks for 2022, 40% highlighted the management of rising inventory costs, 36% of respondents were concerned about managing cash flow and 35% pointed to the management of local and global supply chains.

Leveraging Technology for Developing the Circular Economy

Circular economy practices that prevent goods from going to landfills - by encouraging reuse or recycling - can help. However, these practices aren't always easy to implement. Brands are experimenting with Industry 4.0 technology that may streamline the circular approach.

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.

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Engineering - Featured Product

Using AI to Collect & Leverage Data

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.