Engineering Problem Solving with Artificial Intelligence (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 19,65
Cantidad disponible: 1 disponible
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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.…
N° de ref. del artículo 9798172152801
- Título
- Engineering Problem Solving with Artificial Intelligence (Paperback)
- Autor
- Felix Ruben Lostal Martinez
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798172152801
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.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
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