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Springer Customer Oriented Product Design: Intelligent & Fuzzy Techniques

Amazon

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Description

This comprehensive reference guide from Springer explores customer-oriented product design using intelligent and fuzzy techniques for real-world applications where classical design methods fall short. Written by prominent researchers, the book covers essential concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, and fuzzy heuristics-based design approaches. It equips readers with the necessary tools to design customer-oriented products in contexts characterised by incomplete information or insufficient data. The volume integrates both foundational and advanced methodologies, making it an essential resource for professionals, researchers, and students in product design, systems engineering, artificial intelligence, and machine learning who need to navigate complex design challenges with imperfect information and deliver solutions that truly meet customer needs.

Key Features

Springer's Studies in Systems, Decision and Control series volume 279 provides peer-reviewed research from leading experts in intelligent design methodology.

Fuzzy QFD and fuzzy FMEA techniques enable quality function deployment and failure mode analysis when working with uncertain or incomplete customer requirements.

The fuzzy Kano model and fuzzy axiomatic design frameworks help prioritise customer satisfaction factors and ensure robust design principles under ambiguous conditions.

Fuzzy heuristics-based design and conjoint analysis-based design methods offer practical approaches for customer-oriented product development with limited data.

Comprehensive coverage of both basic and advanced concepts makes this book suitable for researchers, engineers, and practitioners across AI, machine learning, and systems design disciplines.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 March 2021
Listed Since
22 February 2021

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