Maximizing Manufacturing Safety Through Mobile Apps

Maximizing Manufacturing Safety Through Mobile Apps

Like everything, safety starts with using the right tools. Here’s how to leverage simple, but powerful training apps.

In modern manufacturing, where quality and safety are paramount, the integration of technology and innovative training methodologies has become increasingly vital. Among the advancements making waves in the industry are mobile training apps that empower companies to efficiently develop site-specific and machine-specific training courses. By seamlessly combining mobile capabilities and eLearning platforms while leveraging on-the-floor observations, manufacturers can upgrade their approach to facility safety, ensuring that training is not just theoretical but deeply rooted in real-life scenarios.


Don’t Rely on the Buddy System

At the forefront of this training revolution are on-the-job training (OJT) apps. Unlike conventional safety training methods, which often rely on generic materials and hypothetical scenarios, OJT apps enable companies to craft training courses tailored to the unique challenges and machinery present in their facilities. The most successful OJT apps find the perfect balance between simplicity for those creating the courses, with an output that is feature-rich for the trainee. Intuitive interfaces and comprehensive features include the ability to record processes, input instructions, create quizzes, and generate immersive training experiences. These solutions help bridge the gap between theoretical knowledge and practical application, equipping team members with the skills and expertise they need to navigate their work environment safely and efficiently.

A major benefit of modern mobile training apps is their ability to ensure accuracy of the instruction being provided. Too often OJT can be improvised, with even seasoned operators passing along personal shortcuts they’ve developed over the years. But when equipped with the right OJT app, every instructor is using the same centrally vetted and approved instruction. Direct interaction between the trainer, trainee, and the app itself ensures the right way is the only way demonstrated.

Safety leaders also welcome the capacity for on-the-floor delivery. Picture a scenario where a new employee tasked with operating a complex piece of machinery receives hands-on training right next to the equipment they will be working with. With mobile apps, trainers can demonstrate best practices and safety protocols in front of the machine they will be using, making it easier to comprehend without operating the machine itself, keeping the worker safe while learning. 


This article originally appeared in the June 2024 issue of Occupational Health & Safety.

Product Showcase

  • Magid® D-ROC® GPD412 21G Ultra-Thin Polyurethane Palm Coated Work Gloves

    Magid’s 21G line is more than just a 21-gauge glove, it’s a revolutionary knitting technology paired with an advanced selection of innovative fibers to create the ultimate in lightweight cut protection. The latest offering in our 21G line provides ANSI A4 cut resistance with unparalleled dexterity and extreme comfort that no other 21-gauge glove on the market can offer! Read More

  • SECUPRO MARTEGO

    FOR HIGHEST DEMANDS. A cutting tool in which function and design go hand in hand. Meet the SECUPRO MARTEGO, our prize-winning squeeze-grip safety knife with fully automatic retractable blade for safety. • Ergonomically friendly trigger mechanism to engage the blade • Durable body made of aluminum • Safer alternative to fixed blade utility knives for general cutting tasks • 9 mm Cutting depth • Easy, tool free blade change Dimensions: L 6.10" L x 0.71" W x 1.91" H Weight: 3.70 oz Cutting Depth: 9 mm Read More

  • HAZ LO HEADLAMPS

    With alkaline or rechargeable options, these safety rated, Class 1, Div. 1 Headlamps provide long runtime with both spot and flood options in the same light. Work safely and avoid trip hazards with flexible hands-free lighting from Streamlight. Read More

Featured

Artificial Intelligence