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A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering. It describes the psychological survey and psycho-physiological measurement of consumer feelings and the multivariate statistical analysis of this survey data, including rough set models. Since soft computing technology is very useful from the viewpoint of product design, the author details the Expert system, neural networks, GA, and other relevant methods to support the designer's decision or the customer's choice. The text includes applied examples in areas such as automotive, home electrics, appliances, cosmetics, packaging, and e-commerce business.
This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016. The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP. The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.
Developed in the early 70s in Japan, the Kansei Engineering (KE) method gives you the tools to develop profitable and well-received products and services. Written by the founder of KE, MitsuoNagamachi, and co-authored by one of his proteges, Anitawati Mohd Lokman, Kansei Innovation: Practical Design Applications for Product and Service Development shows you how to nurture Kansei, develop the skill in observing people, and apply that skill to the development and design of products. In this book, Nagamachi shares his 50 years of experiences in enterprise guidance and product development, including examples of exceptional service innovation at companies such as Nissan Motor, Mazda, Toyota, Volvo, Fuji Heavy Industries, Mitsubishi Electric, Tenmaya Department Stores, Seibu Department Stores, Suntory, NEC, Sharp, Komatsu, Wacoal Corporation, Matsushita Electric Works (now Panasonic Electric Works), Boeing, and many more. These stories may surprise you when you learn about the new development of certain products that you already use. The book includes coverage of ergonomic and KE methods for studying human Kansei in product development and job improvement as well as discussion of how to use these methods for innovation in work improvement and activate KE for product development. It gives you a reliable instrument for predicting the reception of a product on the market before the development costs become too large. And, in the end, you will understand how Kansei—a seemingly dubious presence—is processed scientifically and able to have multilateral applications.
Put simply, this is probably the first book in 40 years to comprehensively discuss conveyors, a topic that seems mundane until the need arises to move material from point A to point B without manual intervention. Conveyors: Application, Selection, and Integration gives industrial designers, engineers, and operations managers key information they must consider to determine which type of conveyor to purchase and how to optimally integrate it into their system to meet their transport needs. Tapping into his more than 20 years of experience in the materials handling industry, the author discusses requirements for specific products or materials and environmental factors, covering operation in extreme temperatures. Each chapter details a specific type of conveyor—including chain, belt, and gravity varieties—and highlights its primary features, such as load capacity and rate, and operation. The text also addresses costs and objectives of material handling, exploring rate calculations, controls systems, and other relevant aspects. It includes photographs of actual installations and a glossary of key terms. Learn from the Experience of a Conveyor Expert Unless you have conveyor experience, you’ll need help deciding on the best mode of transportation for your product. This volume stands apart as an aid in this decision process because it does not take a myopic view of one specific type of conveyor. Rather than solely covering bulk material handling or screw conveyors, it analyzes all of the major varieties of conveyors. This book is not meant to be an engineering manual for designing conveyors, but rather a broader guide to integrating conveyors in a transportation system.
By the author of "The Design of Everyday Things," this is the first book to make the connection between emotions and how people relate to ordinary objects--from juicers to Jaguars.
Innovative strategies for building and managing the supply chain using Lean and the Theory of Constraints (TOC) With an emphasis on systems thinking, Building Lean Supply Chains with the Theory of Constraints uniquely integrates TOC with Lean, illustrating how these two philosophies complement and reinforce each other to create the smooth flow of goods and services through the supply chain. The majority of the chapters draw on the tools and techniques of TOC, including throughput accounting, drum-buffer-rope, TOC in distribution and replenishment, the thinking process, and critical chain project management. All of these topics are presented in the context of building and managing a lean supply chain to achieve true bottom line results. Coverage includes: The lean supply chain roadmap Envisioning the lean supply chain: systems thinking Adopting a throughput world perspective Designing products and processes to fulfill customer needs Building a competitive operations strategy Partnering in the lean supply chain Streamlining the value stream Creating flow through the supply chain Managing projects the TOC way: critical chain project management
4. 1. 1 ImportanceofComputerSimulation The importance of experimenting for quality improvement and innovation of pr- ucts and processes is now very well known: “experimenting” means to implement signi?cant and intentional changes with the aim of obtaining useful information. In particular, the majority of industrial experiments have two goals: • To quantify the dependence of one or more observable response variables on a group of input factors in the design or the manufacturing of a product, in order to forecast the behavior of the system in a reliable way. • To identify the level settings for the inputs (design parameters) that are capable of optimizing the response. The set of rules that govern experiments for technological improvement in a ph- ical set-up are now comprehensively labeled “DoE. ” In recent years, the use of - perimentation in engineering design has received renewed momentum through the utilization of computer experiments (see Sacks et al. 1989, Santner et al. 2003), which has been steadily growing in the last two decades. These experimentsare run on a computer code implementing a simulation model of a physical system of int- est. This enables us to explore the complex relationships between input and output variables. Themain advantageofthis is that thesystem becomesmore“observable,” since computer runs are generally easier and cheaper than measurements taken in a physical set-up, and the exploration can be carried out more thoroughly. This is particularly attractive in industrial design applications where the goal is system - timization. 4. 1.

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