A3 Manufacturing Project Software

Features:

  • Change Request Creation
  • Automated Workflow Customization
  • Collaboration Platform
  • Impact Analysis
  • Unified Documentation
  • Reporting & Analytics
  • Observation Notes
  • AI Driven Summaries, Suggestions & Projects
  • *Available 3rd party Integrations

AI Automation Designed for You!

Praxie’s AI-powered Engineering Change Order (ECO) software transforms complex process steps into actionable data insights and significantly boosts productivity of your unique workflows.
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AI-Powered Enhanced Visibility and Waste Reduction
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Improved Efficiency, Productivity and Decision Making
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Customer Focus, Cost Reduction and Process Improvement

“Our team used to take days manually creating status reports. Today, Praxie’s Connected Worker AI automatically creates business summaries, reports and action plans for every layer of management, it’s amazing!.” – Satisfied Customer

Seamless Collaboration

Facilitate efficient collaboration between engineering, production, and quality teams with centralized communication and workflows.

Faster Implementation

Accelerate engineering change approval and implementation through automated notifications and streamlined processes.

Improved Traceability

Maintain clear documentation and comprehensive traceability to ensure compliance and minimize production errors.

Engineering Change Order (ECO) Overview

An Engineering Change Order (ECO) app is a specialized software tool utilized by engineering managers, production supervisors, and quality control teams in manufacturing organizations to manage and streamline changes to product designs or manufacturing processes. The app provides a centralized platform to initiate, document, and approve engineering changes, ensuring seamless communication and collaboration across departments. It automates the approval workflow, sends alerts for required actions, and offers comprehensive traceability to track each change from proposal to implementation. By providing transparent oversight, reducing approval bottlenecks, and ensuring compliance with industry standards, the app accelerates the implementation of design changes while minimizing errors, reducing costs, and maintaining product quality.

Engineering Change Order (ECO) App Details

An Engineering Change Order (ECO) app is an essential tool for manufacturing organizations, helping them manage changes to product designs and processes efficiently. This app ensures that any modifications are well-documented, approved by relevant stakeholders, and implemented seamlessly without disrupting production. Below are the main components of an ECO app:

  1. Change Request Creation: Users can easily create change requests, specifying the proposed modifications, affected components, and the reasons behind the change. This feature ensures that all relevant information is captured upfront.
  2. Workflow Customization: Organizations can customize approval workflows based on their specific processes, assigning roles, and defining approval stages to ensure that the right stakeholders review each request.
  3. Automated Notifications: The app sends automatic alerts to inform relevant team members about new change requests, pending approvals, and updates, reducing delays caused by communication gaps.
  4. Collaboration Platform: The app serves as a centralized platform where engineering, production, and quality teams can discuss proposed changes, provide feedback, and resolve conflicts, promoting transparent decision-making.
  5. Impact Analysis: The app helps evaluate the potential impact of each change request on production schedules, costs, and quality, enabling stakeholders to make informed decisions before approval.
  6. Traceability and Documentation: It maintains a complete history of each change request, capturing who reviewed and approved it, the dates of approval, and the implementation status. This feature provides comprehensive traceability for compliance and audit purposes.
  7. Reporting and Analytics: Generate detailed reports on the progress, approval times, and implementation of change orders to identify bottlenecks and improve overall efficiency.
  8. Integration Capabilities: The app can integrate with existing ERP, PLM, and MES systems, allowing seamless data sharing and maintaining consistency across departments.

In summary, an ECO app is crucial for manufacturing organizations to effectively manage engineering changes without disrupting production or compromising quality. By streamlining the request and approval workflow, facilitating collaboration, and providing comprehensive traceability, the app reduces the risk of errors and ensures that changes are implemented efficiently. This proactive management helps organizations stay agile, reduce costs, and maintain high standards of product quality and compliance.

Engineering Change Order (ECO) App Process

Introducing an Engineering Change Order (ECO) app into a manufacturing organization requires meticulous planning and stakeholder engagement to ensure seamless adoption. As a project manager, you can oversee a strategic rollout that leverages AI for enhanced decision-making and efficiency. The following step-by-step guide will help implement this system successfully:

  1. Assessment and Requirements Gathering: Begin by assessing existing engineering change management processes and identify specific requirements for the new system. Clear understanding of organizational needs will guide customization and goal-setting.
  2. Stakeholder Engagement: Gather input from engineering, production, and quality control teams to align the app’s features with their workflows. Involving key stakeholders early builds buy-in and ensures the system meets user needs.
  3. System Customization and Data Preparation: Customize the app’s workflows and integrate existing data to create a smooth transition. Ensuring data accuracy and workflow alignment will help teams adapt quickly to the new system.
  4. AI-Driven Analysis Integration: Incorporate AI capabilities to analyze historical change orders and predict potential impacts, allowing stakeholders to make data-driven decisions. Leveraging AI identifies high-risk changes early and optimizes resource allocation.
  5. Pilot Testing and Refinement: Conduct a pilot test with a small team to evaluate usability and identify potential issues. Refine workflows and features based on user feedback to enhance the system before a broader launch.
  6. Training and Documentation: Develop training programs and documentation to ensure users are familiar with the app’s features and AI insights. Comprehensive training helps minimize resistance and equips teams for efficient adoption.
  7. Full Rollout and AI Monitoring: Deploy the app organization-wide while enabling real-time monitoring of change requests. AI-based alerts help teams prioritize changes and ensure on-time approvals and implementation.
  8. Continuous Support and Improvement: Provide ongoing support to address any user challenges and gather feedback for future improvements. Evaluating analytics will highlight bottlenecks and opportunities for process optimization.

Successfully implementing an Engineering Change Order app requires a strategic approach that combines stakeholder engagement, tailored customization, and comprehensive training. Integrating AI enhances the app’s predictive analysis capabilities, guiding decision-makers toward proactive risk mitigation. By following these steps and emphasizing communication, data accuracy, and continuous improvement, manufacturing organizations can streamline engineering change processes, reduce errors, and maintain high standards of quality and compliance.

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Your Manufacturing Digital Transformation Practice Lead

Michael Lynch

Michael Lynch is a creative and successful executive with extensive leadership experience in delivering innovative collaboration products and building global businesses. Prior to founding Praxie, Michael led the Internet of Things business at SAP. He joined SAP as part of the acquisition of Right Hemisphere Inc., where he held the position of CEO. During his tenure, he transformed a small tools provider for graphics professionals to the global leader in Visualization software for Global 1,000 manufacturers and led the company to a successful acquisition by SAP.