AI Enhanced Engineering Change Proposal Workflow Simplified

Condensing Engineering Change Proposals Workflow

1. Initiation of Engineering Change Proposal (ECP)

1.1 Identification of Need

Identify the necessity for an engineering change based on performance issues, customer feedback, or regulatory requirements.

1.2 Proposal Submission

Submit the Engineering Change Proposal through the designated internal system.

2. Data Collection and Input

2.1 Gathering Relevant Documentation

Collect all pertinent documentation, including technical specifications, previous change proposals, and impact assessments.

2.2 Input to AI Summarizer Tool

Utilize AI summarizer tools such as OpenAI’s GPT-3 or Google Cloud Natural Language to input collected data for initial summarization.

3. AI-Driven Analysis

3.1 Summarization of Proposal

Employ AI tools to condense the proposal into key points, highlighting critical changes, potential impacts, and benefits.

3.2 Comparison with Historical Data

Use AI analytics platforms like IBM Watson to compare the current proposal with historical data to assess feasibility and risks.

4. Review and Approval Process

4.1 Internal Review

Distribute the AI-generated summary to relevant stakeholders for review. Utilize collaborative tools like Microsoft Teams for feedback collection.

4.2 Final Approval

Facilitate a meeting for final discussions and obtain approval from decision-makers based on the summarized insights provided by AI tools.

5. Implementation of Changes

5.1 Action Plan Development

Create a detailed action plan for implementing the approved engineering changes, integrating AI project management tools such as Trello or Asana.

5.2 Monitoring and Evaluation

Post-implementation, utilize AI-driven analytics tools to monitor the effectiveness of changes and gather data for future proposals.

6. Documentation and Feedback Loop

6.1 Documenting Changes

Ensure all changes are documented in the central repository, utilizing tools like Confluence for easy access.

6.2 Continuous Improvement

Establish a feedback loop using AI sentiment analysis tools to gather insights on the effectiveness of the changes and identify areas for further improvement.