Articoli correlati a ENGINEERING PROBLEM SOLVING WITH ARTIFICIAL INTELLIGENCE:...
ENGINEERING PROBLEM SOLVING WITH ARTIFICIAL INTELLIGENCE: An Evidence-Based Industry 4.0 Framework for Engineers Who Use AI Without Delegating Judgment - Brossura
Sinossi
Artificial Intelligence can accelerate engineering problem solving—but it should never replace engineering judgment.
Engineering Problem Solving with Artificial Intelligence is a practical guide for engineers, managers, technical specialists, and industrial professionals who want to incorporate AI into structured problem-solving processes without delegating critical decisions to algorithms.
The book connects three areas that are too often treated separately: engineering problem-solving methodologies, Industry 4.0, and Artificial Intelligence. Drawing on academic research, industrial experience, evidence-based management, and previously published studies, Rubén Lostal presents a disciplined framework for using AI as an analytical support tool rather than as a substitute for technical reasoning.
The central principle is simple: structure first, AI second, validation always, human decision last.
Throughout the book, the reader learns how AI can support problem definition, data analysis, hypothesis generation, root-cause investigation, pattern recognition, technical documentation, simulation, verification, and organizational learning. At the same time, the book explains the risks of cognitive dependency, automation bias, poor-quality data, weak processes, hallucinated conclusions, and the dangerous tendency to accept AI-generated answers without engineering validation.
Special attention is given to the integration of AI with established methodologies such as PDCA, DMAIC, A3, SPC, Lean Manufacturing, root-cause analysis, FMEA, evidence-based management, and Industry 4.0 systems.
This is not a book about asking better prompts. It is a book about solving engineering problems better with AI.
Readers will find practical frameworks, verification gates, engineering cases, decision criteria, implementation principles, governance recommendations, and references to academic research in APA format.
The book is especially useful for professionals who are beginning to use generative AI and advanced analytical tools in manufacturing, quality, maintenance, operations, industrial engineering, process engineering, and technical management.
Its fundamental message is clear:
AI can analyze.
AI can suggest.
AI can identify patterns.
AI can accelerate the investigation.
But the engineer remains responsible for the decision.
For organizations moving toward Industry 4.0 and AI-enabled operations, the competitive advantage will not come from simply adopting more technology. It will come from combining structured problem solving, reliable data, engineering knowledge, critical thinking, and responsible human supervision.
Technology supports the engineer. It does not replace engineering responsibility.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per ENGINEERING PROBLEM SOLVING WITH ARTIFICIAL INTELLIGENCE:...
Foto dell'editore
Engineering Problem Solving with Artificial Intelligence (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Artificial Intelligence can accelerate engineering problem solving-but it should never replace engineering judgment.Engineering Problem Solving with Artificial Intelligence is a practical guide for engineers, managers, technical specialists, and industrial professionals who want to incorporate AI into structured problem-solving processes without delegating critical decisions to algorithms.The book connects three areas that are too often treated separately: engineering problem-solving methodologies, Industry 4.0, and Artificial Intelligence. Drawing on academic research, industrial experience, evidence-based management, and previously published studies, Ruben Lostal presents a disciplined framework for using AI as an analytical support tool rather than as a substitute for technical reasoning.The central principle is simple: structure first, AI second, validation always, human decision last.Throughout the book, the reader learns how AI can support problem definition, data analysis, hypothesis generation, root-cause investigation, pattern recognition, technical documentation, simulation, verification, and organizational learning. At the same time, the book explains the risks of cognitive dependency, automation bias, poor-quality data, weak processes, hallucinated conclusions, and the dangerous tendency to accept AI-generated answers without engineering validation.Special attention is given to the integration of AI with established methodologies such as PDCA, DMAIC, A3, SPC, Lean Manufacturing, root-cause analysis, FMEA, evidence-based management, and Industry 4.0 systems.This is not a book about asking better prompts. It is a book about solving engineering problems better with AI.Readers will find practical frameworks, verification gates, engineering cases, decision criteria, implementation principles, governance recommendations, and references to academic research in APA format.The book is especially useful for professionals who are beginning to use generative AI and advanced analytical tools in manufacturing, quality, maintenance, operations, industrial engineering, process engineering, and technical management.Its fundamental message is clear: AI can analyze.AI can suggest.AI can identify patterns.AI can accelerate the investigation.But the engineer remains responsible for the decision.For organizations moving toward Industry 4.0 and AI-enabled operations, the competitive advantage will not come from simply adopting more technology. It will come from combining structured problem solving, reliable data, engineering knowledge, critical thinking, and responsible human supervision.Technology supports the engineer. It does not replace engineering responsibility. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798172152801
Compra nuovo
EUR 19,62
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
ENGINEERING PROBLEM SOLVING WITH ARTIFICIAL INTELLIGENCE
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798172152801
Compra nuovo
EUR 19,63
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
ENGINEERING PROBLEM SOLVING WITH ARTIFICIAL INTELLIGENCE
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798172152801
Compra nuovo
EUR 17,90
Spedizione EUR 3,88
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Engineering Problem Solving with Artificial Intelligence (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Artificial Intelligence can accelerate engineering problem solving-but it should never replace engineering judgment.Engineering Problem Solving with Artificial Intelligence is a practical guide for engineers, managers, technical specialists, and industrial professionals who want to incorporate AI into structured problem-solving processes without delegating critical decisions to algorithms.The book connects three areas that are too often treated separately: engineering problem-solving methodologies, Industry 4.0, and Artificial Intelligence. Drawing on academic research, industrial experience, evidence-based management, and previously published studies, Ruben Lostal presents a disciplined framework for using AI as an analytical support tool rather than as a substitute for technical reasoning.The central principle is simple: structure first, AI second, validation always, human decision last.Throughout the book, the reader learns how AI can support problem definition, data analysis, hypothesis generation, root-cause investigation, pattern recognition, technical documentation, simulation, verification, and organizational learning. At the same time, the book explains the risks of cognitive dependency, automation bias, poor-quality data, weak processes, hallucinated conclusions, and the dangerous tendency to accept AI-generated answers without engineering validation.Special attention is given to the integration of AI with established methodologies such as PDCA, DMAIC, A3, SPC, Lean Manufacturing, root-cause analysis, FMEA, evidence-based management, and Industry 4.0 systems.This is not a book about asking better prompts. It is a book about solving engineering problems better with AI.Readers will find practical frameworks, verification gates, engineering cases, decision criteria, implementation principles, governance recommendations, and references to academic research in APA format.The book is especially useful for professionals who are beginning to use generative AI and advanced analytical tools in manufacturing, quality, maintenance, operations, industrial engineering, process engineering, and technical management.Its fundamental message is clear: AI can analyze.AI can suggest.AI can identify patterns.AI can accelerate the investigation.But the engineer remains responsible for the decision.For organizations moving toward Industry 4.0 and AI-enabled operations, the competitive advantage will not come from simply adopting more technology. It will come from combining structured problem solving, reliable data, engineering knowledge, critical thinking, and responsible human supervision.Technology supports the engineer. It does not replace engineering responsibility. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798172152801
Compra nuovo
EUR 21,84
Spedizione EUR 43,60
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili