Engineering(기술개발)과 Manufacturing(생산, 생산기술)의 전략적 문제해결 방법론

[Course Introduction] Breaking the 60% OEE Barrier: Designing an AI-Powered 'Predictable Factory' "Is your factory stalled, or is it predicting?" Many manufacturing sites are working 'hard,' yet they fail to cross the 85% threshold of World Class OEE, the global standard. Equipment breaks down without warning (Breakdowns), data is disconnected somewhere between the ERP and the shop floor (MES) (Data Silo), and the grand slogans of the 4th Industrial Revolution feel detached from the actual problems on the ground. This course is not a theoretical class for simply memorizing OEE formulas. It is a practical engineering masterclass that finds answers to the question, "Why isn't our factory's efficiency improving?" through data and standards. 1. The Pain Point - Invisible Waste: Frequent 'Minor Stops' of less than 10 minutes and 'Reduced Speed' are eating away at productivity, but the causes cannot be found through manual records. - Reactive Response: Because of a 'Reactive' maintenance approach—repairing equipment only after it breaks—emergency shutdowns repeat and costs snowball. - Data Disconnection: Management looks at financial metrics in the ERP while the shop floor looks at machine sensor data, but the lack of a connecting standard (ISA-95) delays decision-making. 2. The Solution I provide you with a clear roadmap to transform 'Uncertainty' into 'Predictability.' - Step 1. Visualizing the 6 Big Losses: We will dissect the 16 loss structures that hinder OEE to reveal the 'Hidden Factory' through data. - Step 2. Powerful Toolbox: I will share protocols for TPM to achieve zero breakdowns, SMED to drastically reduce changeover time, and Gemba Walks to find the truth on the shop floor. - Step 3. Combining AI with Global Standards: Learn how to work with data rather than 'gut feelings.' We will apply future technologies to prevent failures in advance by integrating systems via the ISA-95 standard and utilizing AI-based Predictive Maintenance (PdM) and Digital Twins (ISO 23247). 3. Why Me? (Expertise and Experience) I have experienced both the sweat of traditional manufacturing sites and the data flows of cutting-edge smart factories. - Field-Oriented Improvement: I am not just a theorist. I cover only field-proven methodologies, ranging from Autonomous Maintenance (tightening bolts on equipment) to SPC (Statistical Process Control) to maximize process capability. - Global Standards Leadership: I interpret ISA-95 system integration and ISO/IEC 42001 (AI Management System) standards—required by global automakers and advanced manufacturing companies—so they can be applied immediately to your work. - Future-Oriented Insight: I guide sustainable manufacturing strategies that go beyond simple productivity to consider energy efficiency (OEEE) and carbon neutrality. 4. The Outcome After completing this course, you will no longer feel anxious about when your equipment might stop. - Data-Driven Decision Making: Instead of saying "The machine seems strange," you will say, "Based on vibration data pattern analysis, a bearing failure is predicted within three days." - Financial Results: You will demonstrate 'Cost Avoidance' effects by increasing production capacity (CAPA) through waste elimination without additional facility investment. Re-engineer your factory now. I will be with you on that journey.

This AI Literacy and Transformation Series (1) covers the following topics: 1. Data Center Cooling Innovation in the AI Era The Problem: The explosive power consumption of the latest AI chips (GB200, etc.) has pushed traditional air cooling methods to their limits, leading to AI performance degradation and massive operational cost issues. The Solution: Presents innovative liquid cooling technologies including Rear Door Heat Exchangers (RDCH), Direct-to-Chip (DTC) cooling, and immersion cooling. Additionally, provides strategies to simultaneously secure efficiency and sustainability through intelligent control systems that predict even leakage current and circular economy models that recycle waste heat for district heating. 2. The AI Paradox: Strengthening Critical Thinking to Awaken the Brain The Problem: The phenomenon of 'cognitive offloading'—outsourcing thinking to AI—is causing modern people's analytical thinking and literacy skills to rapidly deteriorate, creating a 'cognitive debt' problem. The Solution: Redefines AI not as a simple answer tool but as a tool for a 'cognitive gym'. Builds a system that makes you think first using critique, research, and synthesis agents, and strengthens metacognitive abilities as a 'helmsman' who determines direction rather than a passive passenger. 3. AI Memory Crisis: Next-Generation Architecture Design The Problem: The size of short-term memory storage (KV cache) required by AI is exploding, but expensive and limited-capacity HBM alone faces physical limitations in handling this data wave. The Solution: Presents a strategy for building a 'heterogeneous memory dream team' combining HBM, DRAM, CXL, etc. Provides solutions that dramatically lower corporate Total Cost of Ownership (TCO) by transferring smart system architecture design capabilities that balance capacity and cost rather than focusing on single component performance. 4. Palantir Ontology: Actionable Data Intelligence The Problem: Data is overflowing but fragmented, creating a 'data graveyard' problem where it fails to translate into actual decision-making and execution, blocking corporate innovation. The Solution: Gives data context and meaning through an 'Ontology' engine that maps physical assets to digital representations. Realizes data democratization where field personnel can directly command business without IT department assistance through 'Action Types (execution capabilities)' that immediately reflect analysis results into operational systems. 5. The Great Rewiring: AI Intelligence Stack Strategy The Problem: As the technology paradigm fundamentally shifts from the Internet era's 'deterministic computation' to the AI era's 'probabilistic prediction', existing business structures are being completely shaken. The Solution: Clarifies the reality of change through a '5-layer Intelligence Stack' map connecting semiconductors to applications. Provides a strategic decision-making framework for determining whether to Build or Buy AI capabilities, drawing a roadmap toward autonomous operating enterprises. 6. Forgetful AI: Maximizing Potential Through Feedback The Problem: AI's 'catastrophic forgetting' phenomenon where learning new information causes it to forget existing knowledge, and communication problems where unilateral commands prevent AI from performing properly. The Solution: Teaches 'coaching' and example-based dialogue methods instead of commanding AI. Transfers techniques for becoming a scientific training partner that enables AI to acquire new capabilities while maintaining existing knowledge through gradual feedback techniques that minimize behavioral change shock (KL divergence). 7. Engineering Financial Intelligence The Problem: Financial systems that remain stuck in past bookkeeping records and regulatory compliance cannot optimize capital allocation for an uncertain future. The Solution: Transforms into a 'dynamic scenario planning (war game)' system that computes thousands of variables in real-time using generative AI. Helps CFOs evolve beyond simple managers into strategic architects who design corporate value through 'Financial LLM' utilization methods that convert simple numbers into strategic signals.

Hello. I am a powertrain engineer with 40 years of experience at large corporations and mid-sized companies (Hyundai Motor Group and parts suppliers), having served 18 years as an executive, CTO, and CEO, and I am now a retiree with extensive corporate management experience. I am Kim Hong-jip, who has accumulated field experience on the frontlines of fierce battlegrounds. Based on the insights and knowledge system I have personally acquired over decades, I would like to share my experience on how you can solve the problems of 'organizational dysfunction' and 'career stagnation' that you face in your professional life. 1. What problems do I solve for you? Many professionals feel that the company they work for is like a 'mental landfill' filled with all kinds of problems. Organizations have 'Seunglyang-i' (opportunists) who only look after their own interests and steal others' credit, and they pollute the organization with 'Bullshit' aimed solely at manipulating others, with no interest in truth. In such environments, the majority of sheep remain silent and accumulate only passive resentment called 'ressentiment,' eventually falling into a 'valley of death' where their careers seem to have stopped. I solve precisely these problems: survival in absurd organizational environments and finding breakthroughs for stalled growth. 2. How do I solve these problems? I solve your problems not through theory, but through three core strategies proven over 40 years. First, technical armament to become an 'autonomous being (pissed-off sheep)': I teach you how to neutralize the bullshit of opportunists through 'technical mastery'—overwhelming competence—and 'logical criticism' based on cold data, going beyond mere complaints. Additionally, through the mindset of 'elegant defeat,' which involves confronting the fear of dismissal or demotion head-on to gain inner freedom, I equip you with invincible armor that remains unshaken by any political pressure. Second, building a 'professional mindset' that reads Strategic Inflection Points (SIP): Beyond simply working hard, I help you develop the eye to detect '10x changes' that transform market rules. I provide execution guidelines (the 10 Commandments of Professionals) that help you escape from complacency that erodes yourself and your organization, view the world from a 360-degree three-dimensional perspective, build your own knowledge system, and connect it to actual results. Third, mastering social intelligence that penetrates human nature: You will learn how to convert inner emotions into fuel for rational thinking and how to decode the real intentions (codes) hidden behind others' masks. I will guide you on the journey to create a 'reality group' without being swept away by collective madness, take the initiative, and find an unwavering sense of calling through a higher perspective that encompasses your entire life. I aim to be a facilitator who helps you grow not as mere organizational parts, but as proactive masters with your own standards. My 40-year record will serve as clear navigation to help you cross your 'valley of death.'

To solve the problems of 'complexity' and 'inefficiency' commonly experienced by professionals, researchers, and engineers in modern society, I propose practical solutions that I have refined over 40 years of intense field experience at Hyundai Motor Group. 1. The 'Problem' You Face: The Flood of Information and the Cycle of Reactive Firefighting Many students are blocked by the following three barriers: Information Overload and Search Limitations: Unable to identify what is essential among the millions of papers and data published each year, wasting time on search labor. Reactive Work Methods: In manufacturing and design settings, remaining stuck in a 'firefighter' role of finding causes and working through the night to solve problems only after they occur. Breakdown in Organizing Thoughts and Communication: Despite having excellent ideas in mind, experiencing frustration in front of a 'blank screen' due to inability to implement them into systematic reports or logic. 2. The 'Solution' Infused with My Experience: Architect of Systems and Prediction As a 40-year R&D veteran engineer, I will transform your work paradigm from 'reactive' to 'predictive' through a 'practical system' rather than mere theory. ① Optimization of Knowledge Exploration: AI Hybrid Workflow I help you become a strategic researcher rather than a simple searcher. By partnering with comprehensive Google Scholar and Semantic Scholar that penetrates the context of papers, I teach you a 3-step master plan that first sees the forest (big picture) then collects the trees (detailed materials), dramatically reducing research time. ② Innovation in Design Intelligence: Predictive Design and Digital Twin I guide you into the world of 'Predictive Design' that leaves no room for problems to arise. Through DFSS (Design for Six Sigma) and DFR (Design for Reliability), you learn how to secure perfect quality from day one of launch. I teach you the essence of engineering that completes thousands of tests in the virtual world before creating actual prototypes, utilizing Digital Twin and MBSE (Model-Based Systems Engineering), virtual twins identical to reality. ③ Visualization of Logic: Architecture of Ideas I define writing as a 'reliable system' rather than talent. I establish the framework of logic with the Pyramid Principle (Answer First) that presents conclusions first and the MECE principle without duplication or omission. Through CREC model-based power writing, I transform you into an 'architect of thought' who constructs solid paragraphs that persuade anyone upon reading. 3. How You Will Transform Through This Course After completing this course, you will no longer be a firefighter running around putting out fires. You become a strategic architect who foresees and prevents future failures and risks with data and systems. You evolve into an integrated expert who smoothly solves business challenges as complex as automotive systems from a systems engineering perspective. Beyond simple knowledge acquisition, you will become an independent leader who maximizes your metacognitive thinking ability by utilizing AI as a 'cognitive gym.' The outdated Fast Follower strategy is now over. Through this system containing my 40 years of field insights, I hope you will obtain powerful weapons to lead your next 10 years.

[Course Introduction] Breaking the 60% OEE Barrier: Designing an AI-Powered 'Predictable Factory' "Is your factory stalled, or is it predicting?" Many manufacturing sites are working 'hard,' yet they fail to cross the 85% threshold of World Class OEE, the global standard. Equipment breaks down without warning (Breakdowns), data is disconnected somewhere between the ERP and the shop floor (MES) (Data Silo), and the grand slogans of the 4th Industrial Revolution feel detached from the actual problems on the ground. This course is not a theoretical class for simply memorizing OEE formulas. It is a practical engineering masterclass that finds answers to the question, "Why isn't our factory's efficiency improving?" through data and standards. 1. The Pain Point - Invisible Waste: Frequent 'Minor Stops' of less than 10 minutes and 'Reduced Speed' are eating away at productivity, but the causes cannot be found through manual records. - Reactive Response: Because of a 'Reactive' maintenance approach—repairing equipment only after it breaks—emergency shutdowns repeat and costs snowball. - Data Disconnection: Management looks at financial metrics in the ERP while the shop floor looks at machine sensor data, but the lack of a connecting standard (ISA-95) delays decision-making. 2. The Solution I provide you with a clear roadmap to transform 'Uncertainty' into 'Predictability.' - Step 1. Visualizing the 6 Big Losses: We will dissect the 16 loss structures that hinder OEE to reveal the 'Hidden Factory' through data. - Step 2. Powerful Toolbox: I will share protocols for TPM to achieve zero breakdowns, SMED to drastically reduce changeover time, and Gemba Walks to find the truth on the shop floor. - Step 3. Combining AI with Global Standards: Learn how to work with data rather than 'gut feelings.' We will apply future technologies to prevent failures in advance by integrating systems via the ISA-95 standard and utilizing AI-based Predictive Maintenance (PdM) and Digital Twins (ISO 23247). 3. Why Me? (Expertise and Experience) I have experienced both the sweat of traditional manufacturing sites and the data flows of cutting-edge smart factories. - Field-Oriented Improvement: I am not just a theorist. I cover only field-proven methodologies, ranging from Autonomous Maintenance (tightening bolts on equipment) to SPC (Statistical Process Control) to maximize process capability. - Global Standards Leadership: I interpret ISA-95 system integration and ISO/IEC 42001 (AI Management System) standards—required by global automakers and advanced manufacturing companies—so they can be applied immediately to your work. - Future-Oriented Insight: I guide sustainable manufacturing strategies that go beyond simple productivity to consider energy efficiency (OEEE) and carbon neutrality. 4. The Outcome After completing this course, you will no longer feel anxious about when your equipment might stop. - Data-Driven Decision Making: Instead of saying "The machine seems strange," you will say, "Based on vibration data pattern analysis, a bearing failure is predicted within three days." - Financial Results: You will demonstrate 'Cost Avoidance' effects by increasing production capacity (CAPA) through waste elimination without additional facility investment. Re-engineer your factory now. I will be with you on that journey.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

It's okay even if you don't know the first thing about coding. In this AI era, all you need is an idea and AI will write the code for you! This course is not simply about learning a programming language. It's a practical course where you learn 'the most modern development method' - giving commands (prompts) to the powerful AI code editor 'Cursor AI' to directly create the programs you've imagined.

If you've ever thought... "I wish I had JARVIS, Iron Man's perfect assistant"?! Complete everyone's JARVIS to help with your smart work management!

No more AI courses filled with just theory. A current CEO who won the KT AI Excellence Award will teach you everything from text to video and game creation - 'practical secrets you can learn today and see results tomorrow.' Achieved 16.4 million won in Wadiz funding! The course that hundreds were enthusiastic about. We'll spoon-feed you the 'real practical' generative AI cheat codes that even non-majors can use to create web novels and videos right away. From planning to high-quality video production, learn how to finish with AI in a snap what would take a week if you hired an expert. We reveal the fastest route to creating results without trial and error.

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

This course is a practical, hands-on training program that automates various document creation tasks—including repetitive document automation, report summarization, PPT and presentation script generation, meeting minutes organization, and smart research—by leveraging ChatGPT and generative AI tools. It is designed with a focus on practice and real-world examples, covering automation strategies for different document types and AI-based information collection and utilization methods, enabling learners to immediately apply what they learn to their actual work.

[McKinsey Alumni Kim Jaesung's Problem-Solving Q&A: We'll Solve Your Problems Together] Required! Prerequisite Course: McKinsey Alumni Kim Jaesung's AI-Powered Problem-Solving & Research Special Lecture https://inf.run/LmvrD 'Theory-only lectures, step aside!' A magical solution video that solves real practical problems together on the spot! This is a video series where Kim Jaesung, a McKinsey alumnus and AI expert, meets with each person individually in a 1:1 Q&A format to structure and solve your problems. From career paths and minor concerns to massive topics like AI that's shaking the world and improvement directions for industries as a whole! Each video will be uploaded for individual purchase. Paid course students will have the opportunity to actually participate through a quarterly lottery drawing! (The more of Kim Jaesung's courses you take, the higher your chances of winning!) [Concept] This is a 1:1 immediate Q&A format meeting with individuals, with the concept of industry experts and strategy experts coming together to approach the right answer. Participants have been extremely satisfied. (You can see and hear this in their testimonials!) The key to this video series is that strategy expert Kim Jaesung doesn't receive the topic in advance, but through strategic questioning and answering, we get closer to the right answer together. Experience the magical solution that naturally elicits the reaction "This actually works?!" lol, based on strategy and structuring rather than relying on intuition and experience! The free version (~10 minutes) will be available to everyone, and the full version will be available to Inflearn course students or YouTube channel [Kim Jaesung's Problem Solving] 'Premium Membership' subscribers. If you wish to participate, please send an email to jaesung_kim@jcurvepartners.ai with the subject line [Coffee Chat Application] In the email, please include your name, age, contact information (mobile phone number), occupation and years of experience (students are welcome), detailed reasons for applying, and attach a screenshot of your enrollment in Kim Jaesung's Inflearn courses. Selected applicants will be contacted. (Personal information of non-selected applicants will be immediately discarded after 3 months) When appearing in the video, using a pseudonym or not revealing your company name is possible, but if you wish for face blurring, voice modulation, or other modifications, participation is not possible. By consenting to video recording, you are deemed to have agreed that the video may be reprocessed and used on Inflearn and Kim Jaesung's YouTube channel.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

To solve the problems of 'complexity' and 'inefficiency' commonly experienced by professionals, researchers, and engineers in modern society, I propose practical solutions that I have refined over 40 years of intense field experience at Hyundai Motor Group. 1. The 'Problem' You Face: The Flood of Information and the Cycle of Reactive Firefighting Many students are blocked by the following three barriers: Information Overload and Search Limitations: Unable to identify what is essential among the millions of papers and data published each year, wasting time on search labor. Reactive Work Methods: In manufacturing and design settings, remaining stuck in a 'firefighter' role of finding causes and working through the night to solve problems only after they occur. Breakdown in Organizing Thoughts and Communication: Despite having excellent ideas in mind, experiencing frustration in front of a 'blank screen' due to inability to implement them into systematic reports or logic. 2. The 'Solution' Infused with My Experience: Architect of Systems and Prediction As a 40-year R&D veteran engineer, I will transform your work paradigm from 'reactive' to 'predictive' through a 'practical system' rather than mere theory. ① Optimization of Knowledge Exploration: AI Hybrid Workflow I help you become a strategic researcher rather than a simple searcher. By partnering with comprehensive Google Scholar and Semantic Scholar that penetrates the context of papers, I teach you a 3-step master plan that first sees the forest (big picture) then collects the trees (detailed materials), dramatically reducing research time. ② Innovation in Design Intelligence: Predictive Design and Digital Twin I guide you into the world of 'Predictive Design' that leaves no room for problems to arise. Through DFSS (Design for Six Sigma) and DFR (Design for Reliability), you learn how to secure perfect quality from day one of launch. I teach you the essence of engineering that completes thousands of tests in the virtual world before creating actual prototypes, utilizing Digital Twin and MBSE (Model-Based Systems Engineering), virtual twins identical to reality. ③ Visualization of Logic: Architecture of Ideas I define writing as a 'reliable system' rather than talent. I establish the framework of logic with the Pyramid Principle (Answer First) that presents conclusions first and the MECE principle without duplication or omission. Through CREC model-based power writing, I transform you into an 'architect of thought' who constructs solid paragraphs that persuade anyone upon reading. 3. How You Will Transform Through This Course After completing this course, you will no longer be a firefighter running around putting out fires. You become a strategic architect who foresees and prevents future failures and risks with data and systems. You evolve into an integrated expert who smoothly solves business challenges as complex as automotive systems from a systems engineering perspective. Beyond simple knowledge acquisition, you will become an independent leader who maximizes your metacognitive thinking ability by utilizing AI as a 'cognitive gym.' The outdated Fast Follower strategy is now over. Through this system containing my 40 years of field insights, I hope you will obtain powerful weapons to lead your next 10 years.

Create a multi-agent system app with Agent Builder and Chatkit, and deploy the app with Cloudflare. All the latest technologies including GPT-5, Agent Builder, Chatkit, MCP, Fine Tuning, CoT have been incorporated.

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

How to speak English like a native while saving millions of won in academy fees: Study not just speaking, but Reading + Writing + Listening + Speaking all together with an AI Agent!

This is a hands-on course where you'll use ChatGPT, Midjourney, and Illustrator to complete everything from planning a fashion brand to creating lookbooks and promotional videos. Go beyond just learning AI tools and create your own brand message and visual identity.

AI is no longer a choice, but a matter of survival. Reduce development that took 3 days to 30 minutes, delegate repetitive tasks to AI, and focus on solving more important problems. With AI-native development methods that you can apply immediately in real work, not just theory, we'll show you the definitive way to be recognized as a "developer who's good at AI" at your company.

An introductory AI lecture tailored for those new to AI! Key concepts, from data to generative AI, are simply explained. The goal is practical understanding, enabling you to question and explain AI, not build it.

This course is designed to help learners master AI prompt engineering and confidently use ChatGPT and generative AI tools to solve real-world problems. Through my experience working with students, professionals, and entrepreneurs, I have identified a common challenge: many people use AI tools without knowing how to instruct them effectively. This often leads to inaccurate, generic, or unusable outputs. In this course, I guide learners step by step on how to communicate with AI the right way, using proven prompt patterns and practical examples. By combining clear explanations, real-life use cases, and hands-on techniques, I help students transform AI into a powerful assistant for writing, business growth, productivity, presentations, meetings, and creative work. This course focuses on practical results, not theory, so learners can immediately apply what they learn to their personal or professional projects.

Learn how to dramatically boost work productivity by automating the most frequently used MS Office tasks in your work using chatGPT.

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.