Jabil
CASE STUDY

Jabil

Tulip helped Jabil make their complex assembly processes more efficient.

Tulip teamed up with Jabil Circuit, a leading global contract manufacturer, to guide complex electronics assembly. Operators on Jabil’s manufacturing line build over 40 different models of complex electronic assemblies, each with a unique combination of components.

Customer

Jabil

Industry

Electronics

Location

St. Petersburg, FL

Customer Website

The Challenge

Before Tulip, front-line engineers relied on paper-based work instructions and audit procedures to guide operators and identify process inefficiencies. Jabil needed to maintain the highest quality and efficiency standards despite a high variety of assembly requirements. Operators needed the right information available at the right time to ensure the correct components were included in each assembly. Additionally, non-value-add steps had to be identified and eliminated quickly.

The Results

Jabil production

10% increase in production yield

Using Tulip’s platform, Jabil created manufacturing apps that helped guide operators through complex assembly processes. Tulip’s digital forms produced by Jabil engineers enabled operators to track and report quality issues in real-time.

60% reduction in manual assembly-related quality issues

The data gathered from the shop floor was continuously analyzed with Tulip’s analytics engine-visualizing KPls through dashboards that Jabil’s front-line engineers tailored to meet their unique needs. Guiding, tracking and analyzing both operator and machine data in real-time made root cause analysis and continuous process improvement easy despite low volume production runs.

Jabil using Tulip apps for manual assembly

Jabil runs Tulip on the AWS Cloud, which selected Tulip as an Industrial Competency Partner for seamlessly bringing the power of AWS Cloud to manufacturers everywhere.

The Bottom Line

“Before Tulip, it wasn’t practical to
conduct in-depth analysis to optimize every process. However, Tulip makes this level of analysis effortless. Now we have real-time insights that let us optimize even low volume production runs.”

– Quality Engineer, Jabil

Get the full case study

Get the full case study via email.