Explainable Artificial Intelligence (XAI) in Manufacturing

Tin Chih Toly Chen

doi:10.1007/978-3-031-27961-4_1

Explainable Artificial Intelligence (XAI) in Manufacturing

Tin Chih Toly Chen^*

^*Corresponding author for this work

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

23 Scopus citations

Abstract

This chapter begins by defining explainable artificial intelligence (XAI). A procedure for implementing XAI was also established. Then, through literature analysis, the application of XAI in various fields such as medicine, service, education, finance, medical treatment, manufacturing, food, and military is compared. Some representative cases in these fields are also reported. Subsequently, several applications of XAI in the field of manufacturing are reviewed, including explaining the classification process and results of factory jobs, explaining artificial neural network (ANN)-based cycle time prediction methods, comparing the effect of alloy composition using Shapely additive explanation value (SHAP) analysis, etc.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-11
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-031-27961-4_1
State	Published - 2023

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

Keywords

Artificial intelligence
Artificial neural network
Explainable artificial intelligence
Shapely additive explanation value

Access to Document

10.1007/978-3-031-27961-4_1

Cite this

@inbook{b1adf6d63eb6452a8d078ca0c3d67b81,

title = "Explainable Artificial Intelligence (XAI) in Manufacturing",

abstract = "This chapter begins by defining explainable artificial intelligence (XAI). A procedure for implementing XAI was also established. Then, through literature analysis, the application of XAI in various fields such as medicine, service, education, finance, medical treatment, manufacturing, food, and military is compared. Some representative cases in these fields are also reported. Subsequently, several applications of XAI in the field of manufacturing are reviewed, including explaining the classification process and results of factory jobs, explaining artificial neural network (ANN)-based cycle time prediction methods, comparing the effect of alloy composition using Shapely additive explanation value (SHAP) analysis, etc.",

keywords = "Artificial intelligence, Artificial neural network, Explainable artificial intelligence, Shapely additive explanation value",

author = "Chen, \{Tin Chih Toly\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

doi = "10.1007/978-3-031-27961-4\_1",

language = "English",

series = "SpringerBriefs in Applied Sciences and Technology",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "1--11",

booktitle = "SpringerBriefs in Applied Sciences and Technology",

address = "德國",

}

TY - CHAP

T1 - Explainable Artificial Intelligence (XAI) in Manufacturing

AU - Chen, Tin Chih Toly

PY - 2023

Y1 - 2023

N2 - This chapter begins by defining explainable artificial intelligence (XAI). A procedure for implementing XAI was also established. Then, through literature analysis, the application of XAI in various fields such as medicine, service, education, finance, medical treatment, manufacturing, food, and military is compared. Some representative cases in these fields are also reported. Subsequently, several applications of XAI in the field of manufacturing are reviewed, including explaining the classification process and results of factory jobs, explaining artificial neural network (ANN)-based cycle time prediction methods, comparing the effect of alloy composition using Shapely additive explanation value (SHAP) analysis, etc.

AB - This chapter begins by defining explainable artificial intelligence (XAI). A procedure for implementing XAI was also established. Then, through literature analysis, the application of XAI in various fields such as medicine, service, education, finance, medical treatment, manufacturing, food, and military is compared. Some representative cases in these fields are also reported. Subsequently, several applications of XAI in the field of manufacturing are reviewed, including explaining the classification process and results of factory jobs, explaining artificial neural network (ANN)-based cycle time prediction methods, comparing the effect of alloy composition using Shapely additive explanation value (SHAP) analysis, etc.

KW - Artificial intelligence

KW - Artificial neural network

KW - Explainable artificial intelligence

KW - Shapely additive explanation value

UR - http://www.scopus.com/inward/record.url?scp=85151281499&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-27961-4_1

DO - 10.1007/978-3-031-27961-4_1

M3 - Chapter

AN - SCOPUS:85151281499

T3 - SpringerBriefs in Applied Sciences and Technology

SP - 1

EP - 11

BT - SpringerBriefs in Applied Sciences and Technology

PB - Springer Science and Business Media Deutschland GmbH

ER -

Explainable Artificial Intelligence (XAI) in Manufacturing

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this