1.

Record Nr.

UNINA9910163888103321

Autore

McKenna Paul, PH.D., <1963->

Titolo

I can make you happy / / Paul McKenna, Ph.D. ; edited by Hugh Willbourn, Ph.D

Pubbl/distr/stampa

Carlsbad, California : , : Hay House, Inc., , 2016

©2016

ISBN

1-4019-4902-9

Descrizione fisica

1 online resource (111 pages) : illustrations

Classificazione

SEL000000SEL016000

Disciplina

158

Soggetti

Happiness

Positive psychology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Sommario/riassunto

"Do you want to be happier? Do you want to stop feeling bad right now? Do you want to experience greater joy than ever before? What if it was possible to feel happier than you had ever imagined before?   It doesn't matter whether you're sad, bored, or depressed--or even if you're already quite content--Paul McKenna can help you become a whole lot happier!  Scientific research reveals that our levels of happiness aren't fixed; we can change them through our thoughts and actions. Dr. McKenna has spent the past 25 years developing a system that can have an immediate, measurable impact on people's emotional well-being. This book uses the latest, most powerful psychological techniques and a downloadable guided hypnosis session to help readers feel really good right now.  The human mind is like a computer, with its own software that governs how we think and act. Most human problems are caused by negative programs running in the unconscious mind. This book and audio session help you install positive programs that seek out and magnify the factors that create happiness. Use it to take control of your life and start feeling happier today!"--



2.

Record Nr.

UNINA9910568254603321

Autore

Chen Tin-Chih Toly

Titolo

Artificial Intelligence and Lean Manufacturing / / by Tin-Chih Toly Chen, Yi-Chi Wang

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

3-031-04583-1

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (95 pages) : illustrations

Collana

SpringerBriefs in Applied Sciences and Technology, , 2191-5318

Disciplina

658.5

Soggetti

Industrial engineering

Production engineering

Engineering design

Cooperating objects (Computer systems)

Production management

Business logistics

Internet of things

Industrial and Production Engineering

Engineering Design

Cyber-Physical Systems

Production

Supply Chain Management

Internet of Things

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1. Basics in Lean Management -- Chapter 2. AI in Manufacturing -- Chapter 3. AI Applications to Kaizen Management -- Chapter 4. AI Applications to Pull Manufacturing and JIT -- Chapter 5. AI Applications to Production Leveling -- Chapter 6. AI Applications to Shop Floor Management: 5S, Kanban, SMED -- Chapter 7. AI Applications to Value Stream Mapping.

Sommario/riassunto

This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines. Lean manufacturing originated in Japan and is a well-known tool for



improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine. This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering.