Decision Making in Lean Smart Maintenance: Criticality Analysis as a Support Tool

Theresa Passath; Katharina Mertens

doi:10.1016/j.ifacol.2019.10.058

Decision Making in Lean Smart Maintenance: Criticality Analysis as a Support Tool

Theresa Passath
, Katharina Mertens

Chair of Economic- and Business Management (600)

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

The increasing complexity and level of automation of assets and asset components make it difficult to choose the optimal maintenance strategy for them. Approaches for criticality and risk assessment, that dynamically evaluate the state of the asset in its life cycle stage and in the production environment, are influenced by both data quality and human decisions. In the following, both aspects will be considered and related to the approaches.

Original language	English
Pages	364-369
Number of pages	6
DOIs	https://doi.org/10.1016/j.ifacol.2019.10.058
Publication status	Published - 14 Aug 2019
Event	13th IFAC Workshop on Intelligent Manufacturing Systems - Oshawa, Canada Duration: 12 Aug 2019 → 14 Aug 2019 http://www.ifacims2019.com/

Conference

Conference	13th IFAC Workshop on Intelligent Manufacturing Systems
Abbreviated title	13th IFAC IMS
Country/Territory	Canada
City	Oshawa
Period	12/08/19 → 14/08/19
Internet address	http://www.ifacims2019.com/

Bibliographical note

Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Keywords

Asset Management
Criticality Analysis
Decision Support System
Industry 4.0
Intelligent Knowledge-Based System
Intelligent support system
Lean Smart Maintenance
Life-Cycle Orientation
Risk Management

Access to Document

10.1016/j.ifacol.2019.10.058

Cite this

@conference{19c3440db9ad4313b9183d2a39970e4d,

title = "Decision Making in Lean Smart Maintenance: Criticality Analysis as a Support Tool",

abstract = "The increasing complexity and level of automation of assets and asset components make it difficult to choose the optimal maintenance strategy for them. Approaches for criticality and risk assessment, that dynamically evaluate the state of the asset in its life cycle stage and in the production environment, are influenced by both data quality and human decisions. In the following, both aspects will be considered and related to the approaches.",

keywords = "Asset Management, Criticality Analysis, Decision Support System, Industry 4.0, Intelligent Knowledge-Based System, Intelligent support system, Lean Smart Maintenance, Life-Cycle Orientation, Risk Management",

author = "Theresa Passath and Katharina Mertens",

note = "Publisher Copyright: {\textcopyright} 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.; 13th IFAC Workshop on Intelligent Manufacturing Systems ; Conference date: 12-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

day = "14",

doi = "10.1016/j.ifacol.2019.10.058",

language = "English",

pages = "364--369",

url = "http://www.ifacims2019.com/",

}

TY - CONF

T1 - Decision Making in Lean Smart Maintenance

T2 - 13th IFAC Workshop on Intelligent Manufacturing Systems

AU - Passath, Theresa

AU - Mertens, Katharina

PY - 2019/8/14

Y1 - 2019/8/14

N2 - The increasing complexity and level of automation of assets and asset components make it difficult to choose the optimal maintenance strategy for them. Approaches for criticality and risk assessment, that dynamically evaluate the state of the asset in its life cycle stage and in the production environment, are influenced by both data quality and human decisions. In the following, both aspects will be considered and related to the approaches.

AB - The increasing complexity and level of automation of assets and asset components make it difficult to choose the optimal maintenance strategy for them. Approaches for criticality and risk assessment, that dynamically evaluate the state of the asset in its life cycle stage and in the production environment, are influenced by both data quality and human decisions. In the following, both aspects will be considered and related to the approaches.

KW - Asset Management

KW - Criticality Analysis

KW - Decision Support System

KW - Industry 4.0

KW - Intelligent Knowledge-Based System

KW - Intelligent support system

KW - Lean Smart Maintenance

KW - Life-Cycle Orientation

KW - Risk Management

UR - https://www.scopus.com/pages/publications/85075884939

U2 - 10.1016/j.ifacol.2019.10.058

DO - 10.1016/j.ifacol.2019.10.058

M3 - Paper

SP - 364

EP - 369

Y2 - 12 August 2019 through 14 August 2019

ER -

Decision Making in Lean Smart Maintenance: Criticality Analysis as a Support Tool

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Cite this