Use case of

Kiami

tag
Electronic Manufacturing [EM]
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High level customers
Flex - a multinational electronics contract manufacturer
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What Challenges are you solving in this industry

  • Improving Availability and Reducing downtime (i.e predictive maintenance reliability) [PM]

  • Improving Process Productivity/Yield - Asset/Process performance management [APY]

  • Improving Quality (inspection process control) [QI]

  • Process digitalisation and automation [PDA]

Description of solution

Kiami helps electronics manufacturing companies with smart troubleshooting, knowledge management, and maintenance software. The platform helps teams to repair failures in engineering, maintenance, services, and operations much faster, and collaborate technical knowledge, experience, and best practices across the company.

The platform combines knowledge and best practices across the entire supply chain. Non-technical teams are able to fix failures themselves by using Kiami’s virtual expert while reducing calls to technical experts. Technical teams are able to fix complex failures much faster while reducing machinery parts annual costs.

The system incorporates technical teams’ accumulated knowledge and experience, advanced learning algorithms, decision trees, and powerful big-data analytics.

The technical knowledge base, best practices, and know-how are preserved and shared across the company, helping to reduce the learning curve of new employees and preserving the expert experience of employees before they retire or otherwise leave the company.

What is the value you bring to your customers?

Kiami helps technical teams to fix equipment, process, and product failures much faster. Downtimes are reduced by up to 70% and the annual cost of parts by up to 20%. Support calls are reduced by up to 50%.

CASE STUDY: FLEX
Flex is an American Singaporean multinational electronics contract manufacturer. It is the third-largest global electronics manufacturing service (EMS), with 200,000 employees in 80 manufacturing sites around the world.
The daily work of assembly line operators, maintenance technicians, test equipment technicians, process engineers, and other teams, involves significant troubleshooting, root-cause-analysis, and failure fixing; along with routine maintenance activities such as system calibration, preventive maintenance, predictive maintenance, and process control.
Flex teams stated that although most of the manufacturing equipment and processes are common in all their manufacturing sites, knowledge preservation and sharing inside the technical teams and between the different sites is rarely used and ineffective. They also pointed out the failure repair process is frequently inefficient, involving significant trial and error, and rarely includes proper knowledge sharing that results in long downtimes, poor quality, expensive rework, and scrap costs.
BENEFITS

Kiami solution offers the following key benefits in the electronic manufacturing vertical:

· During the first implementation that included around 50 test equipment technicians and line operators in Flex main site in Israel, the company observed a yearly cost savings of 350K USD, mainly due to cutting downtimes and reducing technical manpower. Shortly after, the system was extended to Flex maintenance, process engineering, and SMT operators in Israel, and an additional seven sites in Europe.

· Faster and more efficient failure troubleshooting processes decrease downtime, materials waste, poor-quality, and returning failures.

· Highly effective technical knowledge and best-practices collaboration among technical team members to preserve experienced employees’ “know-how” before leaving the company.

· Excellent collaboration between technical teams in different manufacturing sites, while spreading experience and best practices

TESTIMONIAL

“I saw many troubleshooting solutions in the last few years, but Kiami’s solution is on another level. It helps us to preserve experts’ knowledge and spread best practices across the company.”

-Ofer Klein, Director, Flex Israel OPEX

Time to implementation

2-4 weeks for mid-size plant