Rule extraction required for manufacturing process design

Jihoon Song; Jongpil Jeong

doi:10.1016/j.procs.2019.04.084

Rule extraction required for manufacturing process design

Jihoon Song
, Jongpil Jeong

Research & Business Foundation

Sungkyunkwan University

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We propose a method of extracting Main Sub process rules for process design of manufacturing company in 4th industry. In order to extract process design rules, we construct the model as an instance representation model, transform it into data that can utilize the instance data through the dimension reduction algorithm and clustering algorithm, and extract the process information based on the association rule mining algorithm. The process information extracted by the association rule mining algorithm can be used as the main process design rule through vectorization and the part that is difficult to extract can be set as the sub process design rule to design the integrated process rule.

Original language	English
Pages (from-to)	630-635
Number of pages	6
Journal	Procedia Computer Science
Volume	151
DOIs	https://doi.org/10.1016/j.procs.2019.04.084
State	Published - 2019
Event	10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops - Leuven, Belgium Duration: 29 Apr 2019 → 2 May 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Process design
Process design rules
Process rules

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10.1016/j.procs.2019.04.084

Cite this

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title = "Rule extraction required for manufacturing process design",

abstract = "We propose a method of extracting Main Sub process rules for process design of manufacturing company in 4th industry. In order to extract process design rules, we construct the model as an instance representation model, transform it into data that can utilize the instance data through the dimension reduction algorithm and clustering algorithm, and extract the process information based on the association rule mining algorithm. The process information extracted by the association rule mining algorithm can be used as the main process design rule through vectorization and the part that is difficult to extract can be set as the sub process design rule to design the integrated process rule.",

keywords = "Process design, Process design rules, Process rules",

author = "Jihoon Song and Jongpil Jeong",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier B.V.; 10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops ; Conference date: 29-04-2019 Through 02-05-2019",

year = "2019",

doi = "10.1016/j.procs.2019.04.084",

language = "English",

volume = "151",

pages = "630--635",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Rule extraction required for manufacturing process design

AU - Song, Jihoon

AU - Jeong, Jongpil

PY - 2019

Y1 - 2019

N2 - We propose a method of extracting Main Sub process rules for process design of manufacturing company in 4th industry. In order to extract process design rules, we construct the model as an instance representation model, transform it into data that can utilize the instance data through the dimension reduction algorithm and clustering algorithm, and extract the process information based on the association rule mining algorithm. The process information extracted by the association rule mining algorithm can be used as the main process design rule through vectorization and the part that is difficult to extract can be set as the sub process design rule to design the integrated process rule.

AB - We propose a method of extracting Main Sub process rules for process design of manufacturing company in 4th industry. In order to extract process design rules, we construct the model as an instance representation model, transform it into data that can utilize the instance data through the dimension reduction algorithm and clustering algorithm, and extract the process information based on the association rule mining algorithm. The process information extracted by the association rule mining algorithm can be used as the main process design rule through vectorization and the part that is difficult to extract can be set as the sub process design rule to design the integrated process rule.

KW - Process design

KW - Process design rules

KW - Process rules

UR - https://www.scopus.com/pages/publications/85071927890

U2 - 10.1016/j.procs.2019.04.084

DO - 10.1016/j.procs.2019.04.084

M3 - Conference article

AN - SCOPUS:85071927890

SN - 1877-0509

VL - 151

SP - 630

EP - 635

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops

Y2 - 29 April 2019 through 2 May 2019

ER -

Rule extraction required for manufacturing process design

Abstract

UN SDGs

Keywords

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