Artificial Intelligence and Lean Manufacturing (Record no. 200458325)

MARC details
000 -LEADER
fixed length control field 03926nam a22006255i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231114114053.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220426s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031045837
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-04583-7
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TS155
072 #7 - SUBJECT CATEGORY CODE
Subject category code TGP
Source bicssc
Subject category code TEC009060
Source bisacsh
Subject category code TGP
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TS155EBK
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Tin-Chih Toly.
Relator term author.
Authority record control number or standard number (orcid)0000-0002-5608-5176
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Artificial Intelligence and Lean Manufacturing
Medium [electronic resource] /
Statement of responsibility, etc. by Tin-Chih Toly Chen, Yi-Chi Wang.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Applied Sciences and Technology,
International Standard Serial Number 2191-5318
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Industrial engineering.
Topical term or geographic name entry element Production engineering.
Topical term or geographic name entry element Engineering design.
Topical term or geographic name entry element Cooperating objects (Computer systems).
Topical term or geographic name entry element Production management.
Topical term or geographic name entry element Business logistics.
Topical term or geographic name entry element Internet of things.
Topical term or geographic name entry element Industrial and Production Engineering.
Topical term or geographic name entry element Engineering Design.
Topical term or geographic name entry element Cyber-Physical Systems.
Topical term or geographic name entry element Production .
Topical term or geographic name entry element Supply Chain Management.
Topical term or geographic name entry element Internet of Things.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial intelligence -- Industrial applications
Uncontrolled term Lean manufacturing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Yi-Chi.
Relator term author.
Authority record control number or standard number (orcid)0000-0003-0861-7526
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title SpringerBriefs in Applied Sciences and Technology,
International Standard Serial Number 2191-5318
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-04583-7">https://doi.org/10.1007/978-3-031-04583-7</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type Public note
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 11/10/2023 Satın Alma / Purchase END/YAP   TS155EBK EBK02820 14/11/2023 1 14/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.