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Process Functional Modeling

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Process Functional Modeling (PFM) is an analytical tool to learn the process through modeling of different operations, solving problems, and defining ways to the improvement of any fabrication process. PFM is an extension of the System Functional Modeling (SFM) and it allows us to analyze the whole process vs one particular operation in the process.

What will you get from the Process Functional Modeling?

  • Learn and understand how a process operates
  • Visualize and understand each operation within a process
  • Analyze and comprehend the functional value and contribution of each operation within a process
  • Make strategic and tactical decisions for process improvements
  • Create a common language within the organization

When should you use Process Functional Modeling?

Among many cases when Process Functional Modeling is useful for us as problem solvers and innovators, we want to highlight just a few:

  • Process design
  • Improve existing processes
  • Reduce the complexity of a process and reduce costs
  • Improve process yield
  • Identify redundant and low-value operations
  • Lean, Kaizen, and similar events

Benefits of Implementing Process Functional Modeling

Implementing PFM can lead to significant improvements in operational efficiency. By breaking down each operation within a process, organizations can pinpoint specific areas that require enhancement. This detailed understanding helps in reducing bottlenecks, improving throughput, and ultimately increasing overall productivity. Additionally, PFM facilitates better communication among team members as it establishes a clear and common understanding of the process, ensuring everyone is aligned with the goals and objectives.

Future Trends in Process Functional Modeling

As technology continues to evolve, the integration of advanced tools such as artificial intelligence and machine learning with PFM is becoming more prevalent. These technologies can enhance the analytical capabilities of PFM, allowing for real-time monitoring and more accurate predictions of process performance. Additionally, the increasing adoption of digital twins—a virtual replica of physical processes—enables organizations to simulate and test process changes in a risk-free environment before implementing them in the real world. These trends are set to further revolutionize the way businesses optimize their processes.

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Showcasing Successful Projects

Microelectronics

Wafer cleaning issues at the wet process

Wet cleaning is widely used in microchip manufacturing. Single wafer equipment is working as follows. A wafer rotates, and chemistry is poured from a movable nozzle. Water rinsing is performed at the end of the process. Loading of a new batch of the chemistry resulted in excursion - a strongly increased amount of defects was observed on the wafer after the processing. The project is dedicated to the failure analysis and creation of innovative solutions.

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Dr. Anatoly Agulyansky
Microelectronics

SiO2 thin film creation in Diffusion furnace - Process Functional Modeling

The process is related to microelectronics - microchip manufacturing.The purpose of the process is to create a SiO2 layer on the surface of a Si wafer. Equipment: Vertical furnace to heat the wafers in the Q2 atmosphere and perform oxidation on the wafer surface. Process: The oxidation occurs on the front side and on the back side of the wafer Requirements: Create a SiO2 thin layer with a certain thickness and low sigma - low standard deviation of the thickness between the wafers and within the waferFailure: Wafers from the lower zone have higher thickness and significantly higher within wafer sigma (standard deviation of the thickness within the wafer)

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Dr. Anatoly Agulyansky
Prioritization

Urgency - Importance Matrix Example: Prioritize tasks after returning from vacation (at work and at home)

An example of how to make task prioritization with Urgency - Important Matrix (UMI) using the PRIZ Innovation Platform

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Dr. Anatoly Agulyansky
Mechanics

Vacuum cleaner problem

The vacuum cleaner problem is an excellent example showing how to manage and resolve excursion - unexpected deviation from normal operation. Read, learn and use the platform for resolving of your excursions.

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Dr. Anatoly Agulyansky
Metallurgy

Improve cleaning of vacuum oven

The vacuum furnace is used for sintering parts made of metal powder. To keep the shape of the parts, a binder is used. The main problem is that the vacuum furnace becomes dirty and needs a very long cleaning. Regular washing was not successful. We investigated the process and found that washing should be dedicated to the conversion of the material into a form that results in the formation of gases having low temperature of the condensation

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Dr. Anatoly Agulyansky
Chemistry

Chilled water issues

Chilled water is used for production equipment cooling. Suddenly pH of the water started to drop. The aim of the project is to analyze the issue, understand the root cause, and propose solutions to the problem.

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Dr. Anatoly Agulyansky
Management

How to prevent engineers' turnover at the plant

To reduce high turnover at the plant the managers propose different ideas, but it does not help. All proposed solutions are good, but there are some of them that are blocking the effectiveness of the rest of the solutions. The purpose of the project is to analyze the proposed solutions (perceptions) and define the blocked. The solutions with high blocking rank should be completed first to ensure the effectiveness of the rest of the ideas. The Perception Mapping (PMap) creative thinking tool was used for the blockers definition.

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Dr. Anatoly Agulyansky
Microelectronics

Wafer breakage at flash heating

Flash heating of a wafer is widely used in microchip manufacturing. The purpose of the process is to prevent the diffusion of ions and atoms. During the flash process, a wafer breakage occurs. The project's purpose is to learn and understand the mechanism of the wafer breakage and propose the solutions to prevent the wafer breakage

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Dr. Anatoly Agulyansky