About
70% of AI transformation initiatives fail at the operational level. Not because the…
Services
Articles by John M.
Experience
Education
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Texas A&M University
4.0/4.0
Recognition for Top 100 fast growing Aggie owned companies. Taught the IE 314 Statistical Process Control Class. Master's thesis was on the evaluation of machine vision systems for quality applications. Finished a two year program in one year.
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Licenses & Certifications
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ASQ CQE - Certified Quality Engineer
ASQ - American Society for Quality
Credential ID 11389
Volunteer Experience
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Quality Management Division Technical Committee - Quality 4.0
ASQ - World Headquarters
- 2 years
Education
Quality 4.0 is the next step in quality following the progress made in the fourth industrial revolution. It refers to “a new way for quality professionals to manage quality with the digital tools available today and understanding how to apply them and achieve excellence through quality
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Co Lead AS9145 APQP PPAP Deployment Team
INTERNATIONAL AEROSPACE QUALITY GROUP
IAQG urges their supply chain to use these AS9145 as part of their Quality Management System
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Quality Managements Division Technical Committee - Quality Information Systems
ASQ - World Headquarters
- 3 years 1 month
Education
Created the first quality management information system data model - used by most QMS software companies today
Publications
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Integrated Process Excellence℠ (IPE)
Amazon
See publicationIntegrated Process Excellence℠ (IPE) provides training materials to provide the expected ROI from AI LLMs deployment.
IPE process infrastructure deployment framework is a systematic, enterprise-wide methodology that applies manufacturing discipline to all organizational processes in the AI era. It operates through four interconnected phases: Process Documentation (establishing clear, standardized procedures across all functions), Communication (ensuring all stakeholders understand their…Integrated Process Excellence℠ (IPE) provides training materials to provide the expected ROI from AI LLMs deployment.
IPE process infrastructure deployment framework is a systematic, enterprise-wide methodology that applies manufacturing discipline to all organizational processes in the AI era. It operates through four interconnected phases: Process Documentation (establishing clear, standardized procedures across all functions), Communication (ensuring all stakeholders understand their roles and responsibilities), Measurement and Control (implementing real-time monitoring and feedback systems to track performance), and Continuous Improvement (using data-driven insights to identify and execute optimization opportunities). This framework creates the operational foundation necessary for successful AI integration by ensuring processes are well-defined, measurable, and consistently executed, which in turn generates the clean data and structured workflows that AI systems require to deliver measurable business results. Unlike traditional improvement approaches that focus on isolated initiatives, IPE creates an integrated management system that connects strategy to execution across the entire enterprise, enabling organizations to achieve sustainable operational excellence while maximizing ROI from technology investments.
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Integrated Process Excellence℠ (IPE)
Amazon
See publicationIntegrated Process Excellence℠ (IPE) provides training materials to provide the expected ROI from AI LLMs deployment.
IPE process infrastructure deployment framework is a systematic, enterprise-wide methodology that applies manufacturing discipline to all organizational processes in the AI era. It operates through four interconnected phases: Process Documentation (establishing clear, standardized procedures across all functions), Communication (ensuring all stakeholders understand their…Integrated Process Excellence℠ (IPE) provides training materials to provide the expected ROI from AI LLMs deployment.
IPE process infrastructure deployment framework is a systematic, enterprise-wide methodology that applies manufacturing discipline to all organizational processes in the AI era. It operates through four interconnected phases: Process Documentation (establishing clear, standardized procedures across all functions), Communication (ensuring all stakeholders understand their roles and responsibilities), Measurement and Control (implementing real-time monitoring and feedback systems to track performance), and Continuous Improvement (using data-driven insights to identify and execute optimization opportunities). This framework creates the operational foundation necessary for successful AI integration by ensuring processes are well-defined, measurable, and consistently executed, which in turn generates the clean data and structured workflows that AI systems require to deliver measurable business results. Unlike traditional improvement approaches that focus on isolated initiatives, IPE creates an integrated management system that connects strategy to execution across the entire enterprise, enabling organizations to achieve sustainable operational excellence while maximizing ROI from technology investments.
Patents
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Directed Medical Care System and Method
Issued US 8306830
A system and method of preparing medical care instructions for an individual in an emergency situation. The system and method includes obtaining patient information, providing a mechanism to educate the individual on medical and legal terms and procedures, to create medical care instructions, applying the patient information to applicable legal and medical standards and providing a mechanism for updating and maintaining the medical care instructions. The system and method further includes…
A system and method of preparing medical care instructions for an individual in an emergency situation. The system and method includes obtaining patient information, providing a mechanism to educate the individual on medical and legal terms and procedures, to create medical care instructions, applying the patient information to applicable legal and medical standards and providing a mechanism for updating and maintaining the medical care instructions. The system and method further includes storing the medical care instructions in electronic format, such as on a central computerized database, and allowing immediate and secure access to the stored medical care instructions by medical personnel. The stored medical care instructions may also be outputted when necessary.
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Projects
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Next Gen ERP RAD Development using BPM Platform
See projectCreated a robust ERP manufacturing application in 6 months with a team of 5 people using state of the art BPM platform using agile techniques
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AIAG Core Tools Software Project
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See projectThe target market for this project is small automotive suppliers. There are several existing software tools for APQP/PPAP/FMEA/MSA that are used by the OEMs and Tier 1s, but they are too complex and too expensive for small companies.
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International Aerospace Quality Group (IAQG) 9145 Deployment Team
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See projectWorking with the IAQG top volunteers from OEMs and Primes to determine global deployment of the AS9145 Requirements for Advanced Product Quality Planning (APQP) and Production Part Approval Process (PPAP)
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ASQ Quality Management Division - Quality Management Information System Technical Committee
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All organizations, large and small, are now challenged to exceed customer expectations with products and services that cost less and last longer. In addition, specific quality system requirements are verified by on-site audits. Organizations trying to get ISO 9000 certified are responding with manual systems that are creating a paperwork nightmare!
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IBM APQP / PPAP Project
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See projectIQS and IBM are offering a Web-based solution to automate the complex and
rapidly evolving Advanced Product Quality Planning (APQP) and Production Part
Approval Process (PPAP) functions
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