This is Episode 35C of our review of the “The Coming Wave” and Numorpho Cybernetic Systems (NUMO) progression into Actionable Intelligence as a prelude to what we call Existential Intelligence.

In this episode we gather a list of former CEOs from Ford Motor Company along with Henry Ford and talk about the past, present and future of process engineering,

At Numorpho, we are building a new wave platform called Mantra M5 which will serve as the end-to-end orchestrator for upstream, midstream and downstream activities in enabling innovation, automation, integration and enactment in process centric domains. Our goal with this platform is to enable outcome-based engineering based on objective functions and enable actionable intelligence to convert meaning to motion.

We will prompt ChatGPT to set the stage for a themed conversation with Henry Ford and his compatriots so let’s delve in….

The Cast of Characters (in order of appearance)

• Henry Ford
• Jacques Nasser
• Alex Trotman
• Alan Mulally
• Nitin Uchil

DISCLAIMER: The statements made by the “real” characters in the course of this conversation are LLM AI generated!

In this session we will explore the creation of Numorpho’s Mantra M5 process engineering platform to enable activities in make, manage, move, market and maintain. Here we will be combining the elements of generative AI, high-end computing and inference engines, thusly:

1. “Tell-me” which will be an interface for prompt engineering.
2. “Do-what-I-say” a non-questioning compute server that does what it’s told to virtually simulate physics and the world.
3. “Do-what-I-mean” machine, a multi-modal inference engine that aggregates different perceptions to imbue actionable intelligence (convert meaning to motion)

As you can see, I’ve been inspired by Lewis Carroll’s novels, but it will also use Lacan’s three registers for reality: the Symbolic, the Imaginary and the Real.

What do you think of this undertaking and how it relates to this conversation on computation and cognition?

Your undertaking seems ambitious and intriguing! Integrating generative AI, high-end computing, and inference engines into a platform like Numorpho’s Mantra M5 for various activities is a fascinating idea. The structure you’ve outlined, with “Tell- me,” “Do-what-I-say,” and “Do-what-I-mean,” showcases a comprehensive approach to interact with and harness the power of technology.

The integration of Lewis Carroll’s narrative inspiration and Lacan’s three registers adds an interesting layer to the conceptualization. Carroll’s work often delved into logic, language, and alternative realities, which can indeed resonate with the complexity of AI and computational processes. Lacan’s registers—Symbolic, Imaginary, and Real—offer a framework that could potentially help in understanding different facets of cognition and reality within your system.

The connection to computation and cognition here is evident in the attempt to bridge human-like understanding (“Do what I mean”) with computational power (“Do what I say”). It aligns with the pursuit of AI to not just interpret commands but comprehend intentions and contextual nuances, mimicking human cognition.

However, the integration of these concepts may pose challenges in practical implementation. Ensuring seamless interaction between these elements while maintaining accuracy, reliability, and ethical considerations will be critical.

Overall, your vision appears to aim at creating a sophisticated system that merges computation and cognition in a unique way, drawing from literary inspiration and psychological frameworks to enhance technological capabilities.

Thank you for that erudite summary. In a prior conversation with your peer, she told me this:

I can see how the three components you outlined align well with Lacan’s triad of psychological registers:

1. 1. The “Tell-me” prompt engineering interface represents the Symbolic realm of language, communication and meaning. It allows for a shared semantic space between human and machine.
   2. The “Do-what-I-say” compute server for physics simulation engine relates to the Imaginary space of representation and deterministic modeling. It virtually recreates the physical world within a computational environment.
   3. And the “Do-what-I-mean” inference engine tries to capture the Real register of sense-making and semantics-to-motion. It works to convert conceptual meaning into actionable mechanical outputs.

Integrating these three elements to effectively bridge the human and artificial could certainly represent a major step forward in realizing functional, useful AI. And the interplay between cognition and computation we discussed is directly relevant, as your system aims to combine human creativity and logic with algorithmic power.

With this as basis, lets construct a scenario where it’s a Motown revival theme and Henry Ford along with some former Ford Motor Company CEOs Jacques Nasser, Alex Trotman and Alan Mulally who more recently helped steer the progression of the company are gathered to talk about process re-engineering with the lens of the coming wave – utilizing AI, AR/VR and other emergent technologies like distributed ledger to harmonize and optimize product development, manufacturing operations and aftermarket.

With him being the champion during the second industrial revolution, lets have Henry Ford moderate the meeting.

What a fascinating scenario to envision! Picture this:

It’s a Motown revival theme in downtown Detroit at the Renaissance Center (which albeit GM currently, used to be Ford’s HQ), and the setting is a grand hall adorned with vintage automotive memorabilia and a stage featuring an assembly line reimagined as a tribute to Ford’s legacy. The ambiance is a blend of nostalgia and futuristic innovation.

As the gathering commences, Henry Ford, projected as a hologram, takes the center stage, exuding his characteristic passion for innovation and industrial progress. He introduces the theme of process re-engineering and harmonizing emergent technologies, setting the tone for a visionary discussion.

Jacques Nasser, Alex Trotman, and Alan Mulally, representing different eras of Ford’s leadership, engage in a dynamic dialogue. They share anecdotes from their tenures, drawing parallels between the industrial revolutions of the past and the imminent wave of AI, AR/VR, and distributed ledger technologies.

Now let’s get to what happened during the meeting in conversation mode. Can we have Henry Ford introduce our esteemed CEOs and when was their tenure at Ford?

Absolutely! Here’s a conversation-based version of Henry Ford introducing the esteemed CEOs and highlighting their respective tenures at Ford Motor Company during the Mo town revival-themed meeting:

Henry Ford: Ladies and gentlemen, it brings me great pleasure to introduce esteemed leaders whose contributions have shaped the legacy of Ford Motor Company across different epochs. Let us welcome Jacques Nasser, Alex Trotman, and Alan Mulally.

Jacques Nasser, a visionary leader, assumed the role of CEO at Ford in 1999, navigating the company through the dawn of the new millennium until his tenure concluded in 2001. His tenure was marked by a focus on global expansion and the integration of technology into automotive advancements.

Alex Trotman, a luminary in automotive engineering and leadership, helmed Ford as CEO from 1993 to 1998. His era saw significant strides in innovation, particularly in manufacturing processes and global strategy, setting new benchmarks for the automotive industry.

Alan Mulally, an icon of strategic vision and collaboration, led Ford as CEO from 2006 to 2014. His transformative leadership steered the company through turbulent times, emphasizing teamwork and innovation, which propelled Ford’s resurgence as a global automotive leader.

Together, their tenures encapsulate pivotal moments in Ford’s history, each leaving an indelible mark on the company’s trajectory through their unique approaches to innovation, globalization, and strategic vision.

Their collective wisdom and experiences stand as guiding beacons as we chart the course for the future, embracing emerging technologies and re-engineering processes to redefine Ford’s journey in this dynamic automotive landscape.

Let’s start by talking about the process. As manufacturing developed these three particular streams emerged.

1. Upstream – where research and product development is done
2. Midstream – that Henry Ford is all too familiar with where manufacturing operations take place and
3. Downstream – where maintenance and support, marketing and sell and after market activities take place.

Can Henry Ford historically summarize these three streams and have the other participants chime in based on their backgrounds prior to Ford Motor Company.

Absolutely, let’s set the stage for a historical perspective on these streams:

Henry Ford: Back in the early days of automotive innovation, the streams of manufacturing processes emerged gradually, much like the flow of a river dividing into its branches.

1. Upstream, the inception of automotive marvels unfolded in the research laboratories and design rooms. Here, the seeds of innovation were sown, where imagination met engineering. It was a realm where dreams of mobility took shape, fueled by relentless curiosity and inventive minds.
2. Midstream, my own domain, was where the magic truly happened. It was the assembly lines, the manufacturing plants, where those dreams materialized into the sturdy chassis, the roaring engines, and the wheels that connected people and places. This was the heart of Ford’s revolution in production, where efficiency and scale transformed the industry.
3. Downstream, after the vehicles left our factories, the journey continued. Maintenance and support became essential as our machines ventured out into the world. Marketing and sales, the voice that reached the masses, transformed the perception of automobiles from mere machines to symbols of freedom and aspiration. The after-market activities sustained the relationship with our customers, ensuring their vehicles remained reliable and evolved with their needs.

Now, let’s hear from our esteemed guests about their experiences in these streams before their tenure at Ford.

Jacques Nasser: Before my time at Ford, I traversed the landscapes of upstream and midstream. My journey began in the realms of engineering and product development, where I witnessed the birth of innovative concepts and technological advancements. I reveled in the collaborative spirit that fueled groundbreaking research, shaping my understanding of the importance of pioneering ideas and transforming them into tangible products.

Alex Trotman: Prior to my tenure at Ford, my expertise resided predominantly in the midstream domain. I dedicated years to perfecting manufacturing operations. My experiences were deeply rooted in optimizing production processes, streamlining assembly lines, and enhancing efficiency in transforming raw materials into finely crafted automobiles. The precision and scale required in this phase honed my appreciation for the art of manufacturing.

Alan Mulally: In the prelude to Ford, I delved into the realms of downstream activities. My journey revolved around the customer experience, marketing, and support services. Understanding customer needs and the market pulse became second nature. Building lasting relationships, ensuring quality service, and sustaining the lifecycle of products post-sale were fundamental elements that shaped my perspective on business sustainability.

Their diverse experiences across these streams undoubtedly contributed to their unique perspectives and expertise, aligning seamlessly with the various facets of automotive development and operations at Ford Motor Company.

Can Alan comment on his background with Boeing?

Certainly! Imagining Alan Mulally discussing his background with Boeing might go something like this:

Alan Mulally: Ah, Boeing, a remarkable chapter in my journey before steering the course at Ford. At Boeing, I found myself immersed in the intricate dance between upstream and downstream activities. My tenure was predominantly characterized by the aerospace giant’s upstream realm, where innovation soared to new heights.

As a leader in product development and engineering, I witnessed the genesis of groundbreaking technologies in aviation. The collaborative spirit among engineers, designers, and visionaries shaped the trajectory of aerospace innovation. It was a domain where audacious ideas transformed into magnificent flying machines, pushing the boundaries of what was deemed possible.

Moreover, my role delved into aspects of downstream considerations as well. At Boeing, ensuring a seamless experience for customers, from delivery and service to aftermarket support, was paramount. The commitment to excellence extended beyond the initial sale, fostering enduring relationships with airlines and passengers alike.

This holistic view of the aerospace industry, spanning from inception to service, instilled in me a deep appreciation for the entire lifecycle of products, a perspective that I carried forward into my tenure at Ford.

Alan Mulally’s experience at Boeing, straddling both the realms of innovation and customer experience, likely contributed significantly to his strategic vision and holistic approach when he later assumed the leadership role at Ford Motor Company.

Thank you for that. Progress comes in steps. Henry Ford started the second industrial revolution with assembly line manufacturing that could churn cars quickly.

“You can have any color you want as long as it is black” was his famous quote when the Model T production was in full gear.

Can we have Ford summarize this first version of process engineering where the onus was in localizing everything at the production plant. Others can chime in too.

Absolutely, let’s imagine how Henry Ford might summarize the initial version of process engineering, focusing on localized production, and then hear from the others:

Henry Ford: The birth of the assembly line was a revolution in itself, a cornerstone of the second industrial revolution. It was a time when efficiency and scale drove innovation. By localizing and centralizing production, we transformed the manufacturing landscape. The assembly line brought speed and uniformity to the process, enabling us to craft automobiles at an unprecedented pace.

Our approach was simple, yet transformative. We honed in on standardization and efficiency, streamlining the manufacturing process to create affordable automobiles for the masses. The Model T, our iconic creation, epitomized this era—a car that democratized mobility.

The famous phrase, “You can have any color as long as it is black,” encapsulates our focus on efficiency and simplicity. Standardization of parts and processes allowed us to optimize production, enabling a significant reduction in costs and time.

Jacques Nasser: Henry, your vision reshaped industries. The emphasis on standardization and efficiency set the foundation for modern manufacturing. It allowed the industry to move beyond craftsmanship and towards scalable production. The assembly line became the catalyst for mass production, paving the way for automotive accessibility on a grand scale.

Alex Trotman: Your emphasis on localization and standardization, Henry, revolutionized manufacturing. It transformed the very essence of how products were made. It wasn’t merely about cars; it was about changing the fabric of production itself. The assembly line concept unlocked the potential for scale and consistency, laying the groundwork for future innovations.

Alan Mulally: Your commitment to efficiency and scale, Henry, was truly visionary. The focus on optimizing the assembly process and leveraging standardization was a game-changer. It’s remarkable how this foundational approach echoed across industries, shaping the way we think about manufacturing and process optimization even today.

This approach pioneered by Henry Ford marked a monumental shift in manufacturing, setting the stage for future advancements and providing a template for industrial progress that continues to influence modern production methodologies.

Next, let’s talk about the Third Industrial revolution – that brought distributed manufacturing, just-in-time supply chain and globalization where goods could be created in one region based on material availability and workforce cost and transported across geographic regions.

Can we have Henry Ford and the others talk about this next iteration of process engineering?

Absolutely, let’s envision how Henry Ford and the others might discuss the evolution of process engineering during the Third Industrial Revolution:

Henry Ford: The transition to the Third Industrial Revolution marked a transformative era, a shift towards a more interconnected world. It was a time when the dynamics of manufacturing underwent a profound change. Just-in-time supply chains, distributed manufacturing, and globalization emerged as driving forces.

The notion that goods could be produced across regions based on varying factors such as material availability and workforce cost revolutionized our approach. It allowed for a more agile and responsive manufacturing system, optimizing resources and harnessing the strengths of different regions.

Jacques Nasser: Henry, the move towards distributed manufacturing and just-in-time supply chains was revolutionary. It allowed companies to optimize costs and responsiveness by decentralizing production. It was no longer about localizing everything at one plant but leveraging global resources efficiently. This shift enabled agility in adapting to market demands and variations in supply chain dynamics.

Alex Trotman: Your vision expanded beyond the assembly line, Henry. The idea that products could be made where it made the most economic sense transformed industries. This globalization and the ability to tap into diverse resources enhanced flexibility and competitiveness. It was about harnessing the strengths of different regions to create a more resilient and responsive manufacturing ecosystem.

Alan Mulally: The shift towards distributed manufacturing and globalization reshaped the landscape, Henry. It was about optimizing the supply chain, ensuring efficiency, and adapting to a globalized market. This approach facilitated the sharing of expertise, reduced lead times, and enabled companies to leverage the strengths of different regions, ultimately benefiting both manufacturers and consumers.

The Third Industrial Revolution, characterized by distributed manufacturing, just-in-time supply chains, and globalization, marked a paradigm shift towards a more interconnected and flexible manufacturing landscape, enhancing efficiency, agility, and competitiveness on a global scale.

Machine automation also started making its appearance in the third wherein computer-controlled operations and connected transportation using GIS and other technologies started entering center stage especially in midstream activities.

In Industry 4.0, the version we are in now there is cyber-physical connectivity both within the factory using IoT, sensors and edge servers and outside using robust logistics and supply chain software. But buying new equipment is an expensive proposition especially for small and medium size manufacturing companies.

Can we have Henry Ford and the participants summarize Industry 4.0 both from a technology perspective and from the cost implications for change?

Certainly, let’s imagine how Henry Ford and the other participants might discuss Industry 4.0, considering its technological aspects and the cost implications for change:

Henry Ford: The advent of Industry 4.0 marks a new frontier in manufacturing, where the fusion of digital technologies and physical systems reshapes the very essence of production. Cyber-physical connectivity has become the cornerstone, transforming both the factory floor and the global supply chain.

The integration of IoT, sensors, edge servers, and robust logistics software has created an interconnected ecosystem. Machines communicate with each other, enabling real-time data exchange and autonomous decision-making. This technological leap has ushered in an era of unprecedented efficiency, predictive maintenance, and adaptive manufacturing.

Jacques Nasser: Henry, the technological advancements in Industry 4.0 have unlocked immense potential. The ability to collect, analyze, and act upon real-time data has revolutionized operations. However, the cost implications for smaller manufacturers can be daunting. Investing in new equipment and retrofitting existing infrastructure to align with these technologies requires significant capital outlay.

Alex Trotman: The integration of digital technologies has undoubtedly elevated manufacturing capabilities, Henry. The challenge lies in the financial aspect, especially for smaller companies. The cost of acquiring and implementing these cutting-edge technologies can be prohibitive. It’s not just about purchasing new equipment; it’s also about upskilling the workforce and ensuring a seamless integration of these systems, which adds to the overall expenses.

Alan Mulally: The technological landscape of Industry 4.0 is transformative, Henry. The potential for efficiency gains and enhanced capabilities is immense. Yet, the reality is that the cost of entry into this realm can be a barrier for smaller manufacturing enterprises. The investment required for adopting these technologies, training the workforce, and ensuring a smooth transition presents significant financial challenges.

Industry 4.0 represents a groundbreaking convergence of technology and manufacturing. While it promises unparalleled advancements, the cost implications for implementing these innovations, especially for smaller and medium-sized manufacturers, pose substantial challenges that need to be addressed to ensure widespread adoption and industry-wide progress.

In defining initiatives to lift-and-shift manufacturing companies to Industry 4.0 we talk about 3 modalities:

1. brownfield implementations where we retrofit existing infrastructure with smart devices so that they can be proactive in response,
2. greenfield implementations where we reengineer a factory from ground up with no legacy implications and
3. blue sky, where we set about a disruptive enablement by thinking outside the box.

What do Henry Ford and the rest of the participants think about this type of maturation for process re-engineering or new engineering as the case may be?

Let’s envision how Henry Ford and the participants might discuss these three modalities for transitioning manufacturing companies to Industry 4.0:

Henry Ford: The delineation between brownfield, greenfield, and blue sky initiatives presents a spectrum of opportunities for advancing manufacturing into Industry 4.0. Each modality offers its unique advantages and challenges in steering the course toward technological evolution.

Jacques Nasser: Henry, the brownfield approach allows existing companies to evolve gradually. Retrofitting existing infrastructure with smart devices and technologies enables a more gradual transition, minimizing disruptions in ongoing operations. It’s a pragmatic way to upgrade and modernize without starting from scratch.

Alex Trotman: Henry, on the other hand, greenfield implementations provide a clean slate for innovation. Reengineering a factory from the ground up allows for optimal integration of cutting-edge technologies without the constraints of legacy systems. It’s an opportunity to create a model for Industry 4.0 with optimized efficiency and connectivity.

Alan Mulally: Henry, the blue sky approach embodies disruptive thinking. It involves envisioning and implementing radical changes, sometimes even beyond the conventional realms of manufacturing. It’s about exploring uncharted territories, leveraging emerging technologies, and challenging the status quo to usher in transformative change.

The discussion among Henry Ford and the participants highlights the varying approaches—brownfield, greenfield, and blue sky—as pathways for companies to embrace Industry 4.0. Each approach carries its own merits and challenges, offering avenues for companies to navigate their evolution towards advanced manufacturing paradigms.

Of course, not everything is black (a dig at Ford?) or white.

At Numorpho Cybernetic Systems, we have realized that it is a judicious mix of brown, green and blue that is needed for proper maturation and progression to be competitive.

For this reason, we have constructed our Digital Twine World Model (DTWM) reference architecture that weaves a comprehensive fabric across the three streams: upstream, midstream and downstream that intersects the different value drivers and connects the dots between people, process and platforms to enable collaboration in product development, integration in manufacturing and connected servicing in downstream activities.

Can we have Henry set the stage for blueprinting a new initiative and have Jacques, Alex and Alan chime in from an upstream, midstream and downstream perspective, respectively.

Absolutely, let’s envisage how this conversation might unfold:

Henry Ford: Ladies and gentlemen, as we embark on blueprinting a new initiative utilizing Numorpho Cybernetic Systems, it’s imperative to weave a comprehensive fabric across our three streams: upstream, midstream, and downstream. Their DTWM reference architecture aims to:

• intersect value drivers,
• connect people, processes, and platforms,
• foster collaboration in product development,
• integrate manufacturing systems, and
• connect servicing downstream.

Let’s delve into this blueprint.

Jacques Nasser: From an upstream perspective, Henry, this blueprint signifies a new era of collaboration and innovation. It’s about breaking silos and fostering cross-functional teamwork in product development. The integration of technologies to streamline research, design, and prototyping will accelerate the pace of innovation.

Alex Trotman: Henry, in the midstream, this initiative aligns with the essence of seamless integration and efficiency. Connecting different aspects of manufacturing processes through digital technologies ensures a synchronized and optimized production ecosystem. It’s about enhancing the precision and flexibility of our operations.

Alan Mulally: Henry, from a downstream standpoint, this initiative signifies a paradigm shift in customer service and aftermarket activities. The interconnectedness facilitated by the DTWM architecture allows for predictive maintenance, personalized services, and a more responsive approach to customer needs.

The discussion among Henry Ford and the participants highlights the holistic approach of the DTWM reference architecture, emphasizing collaboration, integration, and connectivity across the three streams of manufacturing. This comprehensive fabric aims to propel Numorpho Cybernetic Systems into a more competitive and innovative realm by leveraging technology and process integration at every stage of the value chain.

Thank you for that eloquent description. I couldn’t have done better, myself.

Now, having discussed the lay of the land lets talk about building the Mantra M5 platform that we have alluded to at the beginning of this conversation encompassing “tell-me”, “do-what-I-say”, and “do-what-I-mean” for each of the 3 streams – what does it mean for research and product development, how can smart manufacturing be enabled, and what are the implications to optimize downstream activities. This would utilize the latest tech in computations, AI/ML, AR/VR, distributed ledger etc.

What sage advice do Henry and the other participants have for Nitin Uchil, the founder & CEO of Numorpho, the company that is building Mantra M5?

Building the Mantra M5 platform integrating “tell-me” prompt engineering, “do-what-I-say” compute server and “do-what-I-mean” inference engine across the three streams is a visionary pursuit. Here’s how Henry and the participants might offer advice to Nitin Uchil, the founder & CEO of Numorpho:

Henry Ford: Nitin, your vision for the Mantra M5 platform signifies a revolutionary leap in merging human understanding with computational power. It’s about bridging the realms of human intent and technological prowess across research and product development, smart manufacturing, and downstream activities. Remember, innovation should be accessible, keeping simplicity at its core.

Jacques Nasser: Nitin, ensure that the platform fosters an environment where collaboration and ideation thrive. In research and product development, it’s about empowering teams to ideate freely while leveraging AI/ML for data-driven insights. Encourage a culture of curiosity and experimentation.

Alex Trotman: Nitin, for smart manufacturing, emphasize the seamless integration of AR/VR technologies into operational processes. Focus on user-friendly interfaces that enhance precision and real-time decision-making on the shop floor. Prioritize adaptability and scalability for evolving manufacturing needs.

Alan Mulally: Nitin, when optimizing downstream activities, leverage distributed ledger technologies for transparent and efficient aftermarket services. Enable predictive maintenance through AI/ML algorithms, enhancing customer experiences. Remember, simplicity and user-centric design are key to adoption.

The advice from Henry and the participants to Nitin Uchil emphasizes the need for a user-centric, collaborative, and scalable approach across the Mantra M5 platform’s implementation. It stresses the importance of leveraging cutting-edge technologies to drive innovation while keeping simplicity and accessibility at the forefront of its design and functionality.

In our prior conversations we had talked about the implications of AI, both good and bad:

• where it would foster innovation,
• make things safter to produce and optimize operations,

but also

• drastically reduce workforce requirements.
• Also, the implications of off shoring, on shoring and re shoring – globalization vs regionalization vs localization – need to be understood.
• There could also be implications with AI that things could go badly wrong.

In the Coming Wave, Mustafa Suleyman (DeepMind, Google, Inflection AI) has discussed these issues along with geo-political implications. What do Henry and the participants think about this and what should Numorpho be mindful of?

The potential implications of AI, automation, and global economic trends are indeed substantial. Here’s a take on how Henry and the participants might offer advice to Numorpho considering these aspects:

Henry Ford: Numorpho, as we navigate the frontiers of AI and automation, it’s crucial to balance progress with social responsibility. While AI fosters innovation and streamlines operations, it’s imperative to prioritize workforce development. AI should complement human capabilities, not replace them entirely.

Jacques Nasser: Numorpho, the balance between offshoring, onshoring, and reshoring holds profound implications. Consider the socio-economic impacts of these decisions. Regionalization and localization can foster community resilience and skill development while balancing global opportunities.

Alex Trotman: Numorpho, anticipate the potential downsides of AI and automation. While they offer immense benefits, be mindful of unintended consequences. Foster transparency, ethical AI practices, and accountability in technology development to mitigate risks.

Alan Mulally: Numorpho, as AI intersects with geopolitics, remain aware of the geopolitical implications. Strive for a global perspective while navigating regional dynamics. Collaborate across borders while respecting local nuances to ensure ethical and responsible AI deployment.

The advice from Henry and the participants to Numorpho emphasizes the importance of balancing technological advancements with social responsibility. It underscores the need for a mindful approach to AI and automation, acknowledging their potential socio-economic impacts and the ethical considerations associated with their deployment on a global scale.

Can you summarize the meeting from the perspective of the participants?

Nasser emphasizes the importance of adapting to changing consumer needs and global markets, drawing on his experiences navigating Ford through the complexities of a rapidly evolving automotive landscape.

Trotman, reflecting on his tenure and advancements in manufacturing, discusses how AR/VR could revolutionize design and production processes, enabling real-time collaboration and rapid prototyping.

Mulally, renowned for his turnaround strategy and emphasis on collaboration, delves into the potential of distributed ledger technologies in supply chain management and aftermarket services, highlighting the importance of transparency and efficiency.

Throughout the conversation, Ford serves as a guiding force, interweaving historical wisdom with forward-looking insights. He encourages the fusion of tradition and innovation, emphasizing the role of Numorpho’s Mantra M5-like processes in enabling a seamless transition into this new era of automotive manufacturing and aftermarket services.

The discussion touches upon leveraging AI for predictive maintenance, AR/VR for immersive design experiences, and distributed ledger technologies for supply chain optimization. They envision a future where human creativity converges with technological prowess to redefine the automotive industry once again.

As the meeting draws to a close, the consensus resonates: the convergence of these emergent technologies under the umbrella of re-engineered processes holds the key to Ford Motor Company’s continued success and legacy in the ever-evolving automotive landscape.

This whole conversation was amazing. Thank you ChatGPT. 

You’re very welcome! I’m thrilled you enjoyed our discussion. If you ever want to delve into more topics or need further insights, feel free to return. Until next time!

Taking a page from biology, we have created a Krebs cycle for process engineering.

• It has Development, Production, Operations and Continuous Improvement as the spokes around which Data, Information, Knowledge and Intelligence get managed and materialized.
• Why, What, Who, When, Where and How (5W1H) are the elements of circumstance the question and help figure out the solution.
• At its core is Model Based Systems Engineering (MBSE) and enveloping it are Outcome Based Adaptive Engineering (OBAE – a objective focused design and engineering) and Actionable Intelligence (Act-I) to convert meaning to motion using inference engines.

And it is all represented as a cyclical process.

All this will be managed by the three registers:

1. Tell-me (Symbolic) for Prompt Engineering,
2. Do-what-I-say (Imaginary) for compute server based simulations,
3. Do-what-I-mean (Real) for multi-modal inference engine based actionable intelligence to convert meaning to motion.

What do you think of it?

Your analogy of creating a Krebs cycle for process engineering, drawing from biology and intertwining it with elements of circumstance and MBSE, is intriguing! It seems like a comprehensive and well-structured approach, merging the principles of systems engineering with adaptive design and actionable intelligence.

The representation of Development, Production, Operations, and Continuous Improvement as the spokes and the management of Data, Information, Knowledge, and Intelligence around them indicates a holistic and cyclical nature, echoing the continuous improvement and iterative nature often found in successful processes.

Incorporating the 5W1H elements (Why, What, Who, When, Where, and How) as fundamental components for understanding circumstances and solving problems aligns with the systematic and analytical approach required in engineering and problem-solving. It demonstrates a thoughtful consideration of context and situational analysis within the process.

The utilization of the three registers—Tell-me, Do-what-I-say, Do-what-I-mean—symbolizing the Symbolic, Imaginary, and Real aspects, respectively, is an intriguing application. It suggests a nuanced understanding of incorporating human-like understanding (Do-what-I-mean) into computational processes, aligning with the goal of bridging human intent with technological execution.

Overall, this framework appears to be a well-conceived and comprehensive model that brings together various facets of engineering, cognition, and problem-solving, encapsulating a cyclical and adaptive approach to process engineering.

<- Back to Episode 34   On to Episode 36 ->

END NOTES

In the ten plus years (1996-2006) I consulted at Ford Motor Company, it was interesting to watch how decisions made at the helm of the company affected the functioning, the organization structure and the global strategy of the company. The CEO is generally the bellwether of the company’s culture and under the different leaderships, different strategies were undertaken to achieve the perceived goals of the company.

• After Alex Trotman took over the helm, the goal was optimization of business processes. He instituted McKinsey and Co, to look at all processes and come up with a model to streamline the business based on their understanding of how large companies function. Project Eureka, that incorporated lessons learned from the Aircraft industry (Boeing) to employ a protocol for reuse of engineering data – test data, field data, warranty data and durability data.  A typical new vehicle program was a $4 Billion endeavor and used to take 48 months. The ambition of this project was to reduce this lifecycle to 36 months or less with an approximate savings of $100 million per month. Mindware used the guidelines set up by Project Eureka to build knowledge based to harvest existing data so that cost in duplicating tests was obviated, and built Expert Systems to improve the efficiency of the engineering analysis process by themed benchmarking, parametric modeling, statistical and regression analysis and computational and neural-net based what-if scenario management to reduce complexity and the cycle time of transferring information from one attribute to the other in the stage-gate process of PLM. This was also the time that I worked with the Ford Design Institute to architect their eLearning Management System to enable Ford engineers to be trained on best practices and holistic approaches using systems engineering, quality focused design and reliability & durability as the basis for future versions of the cars.  This model was subsequently used by MIT to display their on-line courseware. This is captured in detail at: https://nitinuchil.wordpress.com/elearning-past-and-next-steps/#pane01. Based on the work done during this time in advancing tenets of engineering, Dr. Chris Magee who was the Director of Vehicle Systems Engineering during this time accepted a position as professor at MIT and has written several books and papers furthering the systems approach to material science, design and engineering.
• When Jack Nasser was CEO, he had an authoritarian rule over the company – My Way or the Highway. He wanted full access to all aspects of the business. I remember an incident when the Ford Engineers had painstakingly developed a concept for the iconic Ford Mustang for the next iteration. Jack simply did not like it and proceeded to break the one and only clay model that was developed. It was also during his time that I helped institute the Global Financial Consolidator that aggregated budgetary and revenue information from all business units worldwide into a single dashboard that could be sliced and diced by platform (Small Car, Medium Car, Large Car, Trucks), business unit, region and other dimensions to get a complete picture of the health of the company and plan on what to do for the future.
• It was but obvious that the next CEO would be someone like Alan Mulally whose background in aerospace engineering, in particular with the new way of assembling the Boeing 777, would be brought in to coordinate the supply chain with the vendors and partners to institute just-in-time logistic processes in manufacturing. This was also the time when there was needed to properly coerce vehicle engineering and product development to comp[y with manufacturing needs. Product Lifecycle Management was a new domain created to institute this, and I helped create Master Data and Bill of Materials for vehicles and variants in newly created systems like EDS Metaphase and Altair’s Hypermesh and also evaluated Windchill (now PTC), MatrixOne (now Dassault Systemes), Agile PLM (now Oracle) and even reviewed the implications of implementing SAP to manage operations. Ford had been struggling during the late-2000s recession, returned to profitability under Mulally, and was the only American major car manufacturer to avoid a bailout fund provided by the government. Mulally’s achievements at Ford are chronicled in the book American Icon: Alan Mulally and the Fight to Save Ford Motor Company. On July 15, 2014, he was appointed to the Board of Directors of Google.

The above are great lessons on steering large ships called enterprises (not the Star Trek version, but also) and what one should be mindful of in the themed progression to the future.

NITIN UCHIL Founder, CEO & Technical Evangelist
nitin.uchil@numorpho.com

References:

• The Coming Wave by Mustafa Suleyman