Electronics are getting smarter. So should your operations.
Complex assemblies and short product life-cycles make manufacturing electronics a constant challenge.
Operators often need to learn new processes on short notice. Paper-based tracking methods make it difficult to measure performance and throughput. Process optimization is a low-visibility, high-touch endeavor. In order to succeed in a competitive, fast-paced marketplace, electronics manufacturers need a better way to train and reskill employees, track and measure key KPIs, and monitor quality each step of the assembly process to ensure quality.
Short product life cycle requires flexibility
Complex products/high-mix assemblies
Paper work instructions are inadequate for dynamic assemblies
Poor measurement of critical KPIs (cycle time, step time, defect rate)
Tulip’s no-code platform simplifies work instructions for quicker, error-free assemblies.
Using Tulip, engineers can design media-rich work instructions customized to their operations. This eliminates the need for paper-based instructions, reduces errors, and increases productivity. For factories with shifting outputs and short product life cycles, Tulip helps re-skill operators. It reduces the cost of training and makes it easy to reassign employees to where they’re needed.
Take the guesswork out of work instructions.
Media-rich work instructions guide workers through high mix assemblies and enforce quality in-line.
During training, digital work instructions dramatically reduce reskilling times, letting you put your operators where you need them most.
Learn more about work instructions.
Track performance and quality in real time.
Real-time performance monitoring of key KPIs such as cycle time, step time, and defect rate allows engineers to optimize processes.
Learn about Tulip Analytics
Better communication between people and machines
IoT connects modern and legacy devices, bringing a new level of visibility and control
Learn about Shop Floor IoT
Case Studies
60% fewer quality issues within 4 Weeks
Using Tulip apps to guide workers through high mix assemblies, Jabil saw a 60% decrease in manual-assembly quality issues.