Use case of

Kiami

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Semiconductors [SM]
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High level customers
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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]

Description of solution

Kiami helps companies in the semiconductor industries 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.

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%

What is the value you bring to your customers?

Kiami solution offers the following key benefits in the semiconductor vertical:

· Faster and more reliable failures’ troubleshooting process thus reducing downtimes, spare parts costs, and returning failures.
· Highly effective technical knowledge and best-practices collaboration among the engineering teams in different manufacturing sites around the world, thus preserving experienced employees’ “know-how” before leaving the company.
· Shorter and more effective new employees’ training and qualification process.
· Improved team members’ professionalism.

CASE STUDY: NIKON

Nikon (POC) is one of the largest providers of lithography equipment to companies in the semiconductor industrial sector such as Intel. Nikon’s experienced engineers are responsible for the maintenance, support, and failure troubleshooting; they pointed out that the repair process for failures is inefficient, involving significant trial and error. Also, the repair process rarely includes proper knowledge sharing, resulting in long downtimes and high spare parts costs.

Nikon also pointed out that it takes about two years to train a new engineer because knowledge and “know-how” are kept “in their heads” and there is a high risk that important knowledge will be lost when engineers leave the company.

Additionally, they mentioned that technical information such as electrical schemas, maintenance manuals, maintenance procedures, and spare parts data, are spread out across various locations and systems. Therefore, whenever a technical member needs to access this information, it is not easily accessible, resulting in a highly time-consuming and thus expensive effort.

TESTIMONIAL

“It’s better than I expected. Collaboration of troubleshooting best practices between different sites of the company around the world has a major importance to a global company such as Nikon”.

Shai Nigri, Nikon Site Manager, Kiryat-Gat, Israel.

Time to implementation

1-2 months