A decision making framework for maintenance strategy selection

Mohammad Moghaddaszadeh Kerma; Moray William Kidd

A decision making framework for maintenance strategy selection

Mohammad Moghaddaszadeh Kerma, Moray William Kidd

The University of Manchester

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

Abstract

Selecting the most appropriate maintenance strategy is a Multi Criteria Decision Making (MCDM) problem. The paper will explore the main challenges for selecting maintenance strategy in an oil refinery plant. Traditional maintenance selection practices are challenged and new methods are proposed. Based on primary and secondary data, five main criteria considered in decision analysis i.e. process criticality, operational reliability, safety, operating point and cost associated with mechanical failures or service deterioration. The decision-making framework evaluated the appropriateness of the implementation of condition based monitoring in an oilfield as case study. The research output to date suggests that in many cases the total life cycle cost could considerably reduce using the proposed decision making framework.

Original language	English
Title of host publication	Implications of life cycle analysis in asset and maintenance management
Publisher	Condition Monitoring and Diagnostic and Engineering
Publication status	Published - 16 Sept 2014
Event	27th International Congress of Condition Monitoring and Diagnostic Engineering - Brisbane Australia Duration: 16 Sept 2014 → 18 Sept 2014

Conference

Conference	27th International Congress of Condition Monitoring and Diagnostic Engineering
City	Brisbane Australia
Period	16/09/14 → 18/09/14

Keywords

Mainteance Strategy,Fuzzy Logic, Analytical Hierarchy Process, Decision Making

Cite this

@inproceedings{a7b5ed5081e543039d501d9eeca5c99c,

title = "A decision making framework for maintenance strategy selection",

abstract = "Selecting the most appropriate maintenance strategy is a Multi Criteria Decision Making (MCDM) problem. The paper will explore the main challenges for selecting maintenance strategy in an oil refinery plant. Traditional maintenance selection practices are challenged and new methods are proposed. Based on primary and secondary data, five main criteria considered in decision analysis i.e. process criticality, operational reliability, safety, operating point and cost associated with mechanical failures or service deterioration. The decision-making framework evaluated the appropriateness of the implementation of condition based monitoring in an oilfield as case study. The research output to date suggests that in many cases the total life cycle cost could considerably reduce using the proposed decision making framework.",

keywords = "Mainteance Strategy,Fuzzy Logic, Analytical Hierarchy Process, Decision Making",

author = "{Moghaddaszadeh Kerma}, Mohammad and Kidd, {Moray William}",

year = "2014",

month = sep,

day = "16",

language = "English",

booktitle = "Implications of life cycle analysis in asset and maintenance management",

publisher = "Condition Monitoring and Diagnostic and Engineering",

address = "United Kingdom",

note = "27th International Congress of Condition Monitoring and Diagnostic Engineering ; Conference date: 16-09-2014 Through 18-09-2014",

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T1 - A decision making framework for maintenance strategy selection

AU - Moghaddaszadeh Kerma, Mohammad

AU - Kidd, Moray William

PY - 2014/9/16

Y1 - 2014/9/16

N2 - Selecting the most appropriate maintenance strategy is a Multi Criteria Decision Making (MCDM) problem. The paper will explore the main challenges for selecting maintenance strategy in an oil refinery plant. Traditional maintenance selection practices are challenged and new methods are proposed. Based on primary and secondary data, five main criteria considered in decision analysis i.e. process criticality, operational reliability, safety, operating point and cost associated with mechanical failures or service deterioration. The decision-making framework evaluated the appropriateness of the implementation of condition based monitoring in an oilfield as case study. The research output to date suggests that in many cases the total life cycle cost could considerably reduce using the proposed decision making framework.

AB - Selecting the most appropriate maintenance strategy is a Multi Criteria Decision Making (MCDM) problem. The paper will explore the main challenges for selecting maintenance strategy in an oil refinery plant. Traditional maintenance selection practices are challenged and new methods are proposed. Based on primary and secondary data, five main criteria considered in decision analysis i.e. process criticality, operational reliability, safety, operating point and cost associated with mechanical failures or service deterioration. The decision-making framework evaluated the appropriateness of the implementation of condition based monitoring in an oilfield as case study. The research output to date suggests that in many cases the total life cycle cost could considerably reduce using the proposed decision making framework.

KW - Mainteance Strategy,Fuzzy Logic, Analytical Hierarchy Process, Decision Making

M3 - Conference contribution

BT - Implications of life cycle analysis in asset and maintenance management

PB - Condition Monitoring and Diagnostic and Engineering

T2 - 27th International Congress of Condition Monitoring and Diagnostic Engineering

Y2 - 16 September 2014 through 18 September 2014

ER -

A decision making framework for maintenance strategy selection

Abstract

Conference

Keywords

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