This document summarizes tester utilization performance from weeks 210-230 and 240-245. It provides utilization percentages for different tester systems, with Fusion FT showing an improvement from 65.6% to 77.6%. The document identifies key issues for different tester types, such as contact problems for Fusion WT, and shows graphs comparing utilization for Fusion before and after using a new pogo ring design. It also discusses actions to address prober accuracy problems, such as classifying probers based on accuracy and inspecting machines.
• Developed A3 to reduce orientation error in Die Bonding process using FMEA and Fault tree analysis
• With the Help of FMEA and Fault tree analysis developed an A3 on an 11”x17” paper that laid out entire plans
• The aim was to clarify the link between true problems, root causes and countermeasures and suggest methods for improvements.
• From the preliminary value stream Map, developed a Future state map and plotted an operator balance chart and cell design for the chosen design
Hybrid bonding methods for lower temperature 3 d integration 1SUSS MicroTec
* Overview of primary 3D bonding processes
* Mechanics of metal bonding options
* Mechanics for hybrid bond materials
* Process requirement comparisons
* Equipment requirements for hybrid bond processes
Metal bonding alternatives to frit and anodic technologies for wlpSUSS MicroTec
* Overview of frit and anodic bond processing
* Mechanics of metal bonding options
* Process requirement comparisons
* Hermetic capabilities
* Equipment requirements for metal bonding
More technical papers on www.suss.com
• Developed A3 to reduce orientation error in Die Bonding process using FMEA and Fault tree analysis
• With the Help of FMEA and Fault tree analysis developed an A3 on an 11”x17” paper that laid out entire plans
• The aim was to clarify the link between true problems, root causes and countermeasures and suggest methods for improvements.
• From the preliminary value stream Map, developed a Future state map and plotted an operator balance chart and cell design for the chosen design
Hybrid bonding methods for lower temperature 3 d integration 1SUSS MicroTec
* Overview of primary 3D bonding processes
* Mechanics of metal bonding options
* Mechanics for hybrid bond materials
* Process requirement comparisons
* Equipment requirements for hybrid bond processes
Metal bonding alternatives to frit and anodic technologies for wlpSUSS MicroTec
* Overview of frit and anodic bond processing
* Mechanics of metal bonding options
* Process requirement comparisons
* Hermetic capabilities
* Equipment requirements for metal bonding
More technical papers on www.suss.com
MEMS is a technique of combining electrical and mechanical components together on a chip. It produces a system of miniature dimensions i.e the system having thickness less than the thickness of human hair. The components are integrated on a single chip using micro fabrication technology which allows the microsystem to both sense & control the environment.
Service quality has become increasingly important to a service organization and information technology has become more integral to a firm. The presentation deals with how a state of the art smart grid technology based project was actually implemented in India by the author along with all the facets of advanced Information Technology integration in Utility Operations. Deals with Advanced Billing System, DSM,SCADA, DMS, OMS, GIS, SAP, AMR, ICUCCS, CRM, etc.Therefore, one of the challenges is to manage IT to enhance service quality.
Follow up to this presentation one has to also refer to a research.The objective of the research was to understand the relationship between Smart Grid Technology and service quality. Concepts from management information systems, communications and strategy have been integrated in a conceptual model which describes the management of IT to improve service quality. The case study of an electric utility helped in the development of the research model. The survey was customized according to information technologies and services in the electric utility industry. The correlation analysis results show that the variables in the hypotheses are correlated and the result is highly significant. The multiple regression and path analysis of quantitative data has supported the hypotheses of the research study. The results have shown that system quality, information quality and employee IT characteristics influence employee IT performance, which in turn influences the service quality at the organizational level. How Smart Grid Implementation support directly impacts service quality
MEMS is a technique of combining electrical and mechanical components together on a chip. It produces a system of miniature dimensions i.e the system having thickness less than the thickness of human hair. The components are integrated on a single chip using micro fabrication technology which allows the microsystem to both sense & control the environment.
Service quality has become increasingly important to a service organization and information technology has become more integral to a firm. The presentation deals with how a state of the art smart grid technology based project was actually implemented in India by the author along with all the facets of advanced Information Technology integration in Utility Operations. Deals with Advanced Billing System, DSM,SCADA, DMS, OMS, GIS, SAP, AMR, ICUCCS, CRM, etc.Therefore, one of the challenges is to manage IT to enhance service quality.
Follow up to this presentation one has to also refer to a research.The objective of the research was to understand the relationship between Smart Grid Technology and service quality. Concepts from management information systems, communications and strategy have been integrated in a conceptual model which describes the management of IT to improve service quality. The case study of an electric utility helped in the development of the research model. The survey was customized according to information technologies and services in the electric utility industry. The correlation analysis results show that the variables in the hypotheses are correlated and the result is highly significant. The multiple regression and path analysis of quantitative data has supported the hypotheses of the research study. The results have shown that system quality, information quality and employee IT characteristics influence employee IT performance, which in turn influences the service quality at the organizational level. How Smart Grid Implementation support directly impacts service quality
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
4. Fusion utilization 2002-10-07~2002-10-27
Utilization Efficiency Prod.(%) Idle.(%) System .(%) Type.(%) Prober.(%) Contact.(%) Sm all_D.(%) Unknow n_D.(%)
Schedule_D.(%)
N-Prod.(%)
65.49% 83.26% 78.65% 0.21% 1.25% 4.40% 0.39% 0.50% 0.01% 2.03% 0.55% 12.00%
Fusion Utilization 2002-10-07 ~ 2002-10-27
Unknown-down
Non-Production
Prod.(%)
2.03%
12.00%
Type down
4.40% Idle.(%)
System.(%)
Type.(%)
Prober.(%)
Contact.(%)
System down
1.25% Small_D.(%)
Unknown_D.(%)
Schedule_D.(%)
Production
78.65% N-Prod.(%)
Division, Content owner, Date(in numbers), ISO No 4
5. WT Utilization Pilots in PSK
(Top 5 key issues to be tackled)
Fusion WT Catalyst WT VQ WT
Operational Utilization av. wk 210-230 66.7% av. wk 210-230 ..% av. wk 210-230 ..%
av. wk 240-245 78.6%
Key Issues: 1.Docking .4.1% 1.Contact ....% 1.Prober ....%
problems accuracy
Info. From
FTF 2.Prober ..3% 2.Type down ....%
accuracy
3.System hang .0.3%
Finished. 4.Prober-Wafer ....% 3.Prober-Wafer ....% 2.Prober-Wafer ....%
contacting contacting contacting
5. Abrasive paper 2%
Operational Utilization Target 86.0% Target 80.0% Target 80.0%
Division, Content owner, Date(in numbers), ISO No 5
6. Fusion New Design Pogo Ring
Contact Problem is a key issue Under Survey.
in Fusion of WTF.
New design of
Contact is better than Pogo Ring by
Before, testing is more Engineering
Stable ? Group.
Division, Content owner, Date(in numbers), ISO No 6
7. Fusion New Design Pogo Ring
Use new pogo ring
New pogo ring
is better.
Use old pogo ring
Trace the same type
in the same days,but
the results are different
Division, Content owner, Date(in numbers), ISO No 7
8. Fusion New Design Pogo Ring
Fusion#06 Utilization 2002-1007~2002-1107
The re-test rate of
120.00% new pogo ring is lower
Fusion#34 Utilization 2002-1007~2002-1107
100.00% Than old one.
120.00%
80.00% Yield
100.00%
60.00% Utilization
80.00% RetestRateYield
40.00%
60.00% Utilization
20.00%
40.00% RetestRate
0.00%
20.00%
185
116
139
162
208
24
47
70
93
1
0.00%
103
120
137
154
35
69
86
18
52
1
Division, Content owner, Date(in numbers), ISO No 8
9. Fusion New Design Pogo Ring
Machine Number Installation date Description Remark
Use from 10/17 till 11/14 then new pogo ring
Fusion#34 2002/10/17 with prober move to Fusion#03 in 11/15
Fusion#02 2002/11/1 in use **
Fusion#07 2002/11/1 in use **
Fusion#05 2002/11/5 in use **
Fusion#09 2002/11/14 in use **
Fusion#03 2002/11/15 in use **
Total use 5 sets in site 2002/11/18
Division, Content owner, Date(in numbers), ISO No 9
10. Fusion New Machine stop & Inspection
Design Pogo Ring
⇒ Utilization lost
⇒ Prober accuracy problem
New docking. Old docking.
Ideal
New docking:0.783
Utilization
Expectation:0.95
distribution.
Target:17%
Discuss with prober
New Docking will increase Vendor - Undergoing!
Utilization effectively
Division, Content owner, Date(in numbers), ISO No 10
11. Fusion New Design Pogo Ring
Fusion07 New Pogo Ring Installation days :11/01
Trace type: PCF8811BW1_b
Utilization Improvement: 0.685 -> 0.827 = > improve 14.2%
From Operation Utilization: 0.786 -> 0.827
= > improve 4.1% Improvement Estimation:
>= 4.1%
Division, Content owner, Date(in numbers), ISO No 11
12. Prober accuracy problem: Current spec. survey
•Prober accuracy +/- 4 um
•Probe card alignment +/- 6 um (epoxy)
(New probe card alignment) +/- 5 um (epoxy)
•Bump placement accuracy +/- 4 um
•Human variation +/- 2 um
?
How to ensure probe How to measure
Accumulated shift at worst case: 4+6+4+2 = 16 um !
for 32 um bump width ensure accuracy?
prober
How to accuracy?
card
Bump placement
PCF8813 bump width: 40 um
accuracy?
Division, Content owner, Date(in numbers), ISO No Pitch 12
13. Prober accuracy verification : Alignment Error
Condition:
Wafer : Standard wafer
Temp : 30 degree C
Probing mode : Horizontal (From wafer top)
Reference Die : Wafer center die
Die size : 82x82 mil
Rotation Error = 0.0015413 Degrees no:4090u-73
Prober
X range Y range Cpk(X) Cpk(Y)
Measure Data 8.330 9.460 0.896 0.744
After Rotation 5.387 6.210 1.437 0.947
Division, Content owner, Date(in numbers), ISO No 13
14. Prober accuracy verification – Wafer to wafer accuracy error
Condition:
• Prober :4090u-13
• Wafer type: 40913
• Die size : X 139.643 mil , Y 122.831 mil
• Temperature : 30 degree C
• Load wafer to chuck profile alignment
• Train reference target on die of wafer center for
measurement
• Probed and measured the reference target
position
• Repeat measured wafer to wafer for 25 times.
Unload wafer reload profile alignment
probing & measurement
Repeat measured 25 times load & unload
Wafer to wafer average X shift 0.43
Wafer to wafer average Y shift 0.41
Wafer to wafer Max X shift 1.96
Wafer to wafer Max Y shift 1.72
25 wafers X shift range -4.16 ~ 8.30 = 12.46
25 wafers Y shift range -3.41 ~ 7.61 = 11.02
25 wafers average X range 6.49
25 wafers average Y range 6.17
Max X shift range 8.08
Min X shift range 5.71
Max Y shift range 8.81
Min Y shift range 5.24
Average Cp(X) 1.15
Average Cp(Y) 1.10
Division, Content owner, Date(in numbers), ISO No 14
15. Prober accuracy verification – (Die size V.S accuracy)
Condition: X,Y within
± 4 um
•Prober:
X out of
4090u-57 spec
•Wafer: Y out of
spec
Glass Mask 82Size : 82 x 82
Die
X 82 471.5 :X 82
Die Size 471.5 x 82
82 X 471.5
Die Size : 82 x 471.5
X & Y out 6 6 6
•Temp: of spec 4 4 4
2 2 2
30 degree C -6 -4 -2
0
0 2 4 6 -6 -4 -2
0
0 2 4 6 -6 -4 -2
0
0 2 4 6
•Probing mode:
-2 -2 -2
-4 -4 -4
From wafer top -6 -6 -6
Die size (mil) 82 X 82 471.5 X 82 82 X 471.5
(Horizontal) X min shift -4.62 -3.15 -3.34
X max shift 3.35 4.33 3.46
•Reference Die:
X mean -0.9064 0.5133 -0.5233
Wafer center die Y min shift -3.41 -4.32 -4.53
Y max shift 4.86 3.36 3.28
Y mean 0.4553 -1.0811 -0.8071
X range 7.97 7.48 6.80
Y range 8.27 7.68 7.81
Division, Content owner, Date(in numbers), ISO No 15
16. Prober accuracy problem - action
Use CMS tool to classify prober to 4 levels:
If (1)Cp > 1.33, class: A -- Prober Quantity: 21
(2) 1.0 < Cp <= 1.33, class: B
(3) Cp <= 1.0, class: C
(4) Prober accuracy more than 8 um, class: D
Contact and discuss with Vendor, Machine stop & Inspection
Survey & Action are undergoing ! Time reduce, then
Utilization will go up
Deservedly!!
Division, Content owner, Date(in numbers), ISO No 16
17. Action – (4) New Material Abrasive Paper
Probe Tip
Abrasive Side
Result: Clean effect Cleaning Layer
is better than Cushion Layer
before
Liner Paper
Cleaning
method CL type cleaning film B2L type cleaning film
Yield (particle size: 3.0μm) (particle size: 1.0μm)
Tester
FUS-10 78% 73%
Before : 18 mil 1 um
FUS-34 79% 76%
Now : 18 mil 3 um
FUS-35 78% 70%
Division, Content owner, Date(in numbers), ISO No 17