Events

 

AEC/APC Symposium Presentation

 

Title: The Importance of EEQA Common Component Template Definitions
Author(s): Mike Thiessen, Gino Crispieri
Affiliation: PEER Group, International SEMATECH Manufacturing Initiative (ISMI)
Presenter: Mike Thiessen
E-mail: mike.thiessen@peergroup.com

 


Abstract 

Enhanced Equipment Quality Assurance (EEQA) is the foundation of collaborative
activities to lower cost and improve equipment availability in the semiconductor industry.
Based on six important Equipment Engineering System (EES) guidelines that promote
the definition, availability, and sharing of EES data, EEQA is the core activity that
enables the OEM and IC maker to improve and increase equipment efficiency and
reliability during its lifecycle.

EEQA requires the OEM to make functional equipment data available by specifying
parametric data as defined by the EEQA Common Component Templates. These
templates focus on the functions, events, and data parameters of the equipment’s main
components that the supplier and/or IC maker identifies are critical when monitoring the
overall equipment’s function and its components’ performance to ensure process
reliability. EEQA Common Component Templates are also used by IC makers to confirm
that the equipment functions as the OEM intended and to facilitate the visualization and
analysis of the data. Once data is made available by the OEM, both the OEM and IC
maker can use the data to visualize, determine, and understand the equipment’s
behavior and monitor and improve its functional performance. EEQA data helps track
and improve the equipment’s reliability and efficiency.

This presentation describes a collaborative effort between PEER Group and ISMI to
identify common component data and events for equipment and highlights the
importance of data that is not currently defined in any existing SEMI standard. Practical
examples will focus on how this data can be managed on the tool and communicated to
the IC maker. Additionally, the benefits of using this data for tool acceptance
benchmarks will be analysed.