A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA)

Agung Sutrisno; Indra Gunawan; Iwan Vanany; Hadi Akbarzadeh Khorshidhi

doi:10.1109/IEEM.2016.7798112

A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA)

Agung Sutrisno, Indra Gunawan, Iwan Vanany, Hadi Akbarzadeh Khorshidhi

School of Mathematics

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

4 Citations (Scopus)

Abstract

Establishment of an improved model for assessing criticality of waste in maintenance operation strongly supports the creation of sustainable manufacturing. However, contribution of previous maintenance engineering studies to above issue is very limited. If any, it is very few intended to create a model for ranking criticality of maintenance waste using risk management tool. In spite of the fact that utilization of risk appraisal tool has been introduced in earlier studies by modifying FMEA, some limitations are still existing and demanding for a better refinement. In this paper, an improved model for calculating the risk of maintenance waste using modification of FMEA is proposed. In evaluating risk criticality of maintenance waste, a new waste priority measure is presented via combining new additional dimensions extended from previous waste criticality evaluation models. In the new model, additional indices, the preventability and controllability scale of waste are included in an attempt to narrowing down limitations on using the detection indices only. An example on using the new waste reprioritization model for maintenance waste risk is provided. The proposed model offers an alternative perspective on evaluating the risk of maintenance waste and an improved model for maintenance waste alleviation.

Original language	English
Title of host publication	2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Subtitle of host publication	4-7 December, 2016, Bali, Indonesia
Editors	Nan Chen, Min Xie
Place of Publication	Danvers, MA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1422-1425
Number of pages	4
ISBN (Electronic)	9781509036653
ISBN (Print)	9781509036660
DOIs	https://doi.org/10.1109/IEEM.2016.7798112
Publication status	Published - 27 Dec 2016
Event	IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016 - Bali Nusa Dua Convention Center, Bali, Indonesia Duration: 4 Dec 2016 → 7 Dec 2016 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7787014 https://web.archive.org/web/20160730191159/http://www.ieem.org/public.asp?page=home.htm

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016
Abbreviated title	IEEM 2016
Country/Territory	Indonesia
City	Bali
Period	4/12/16 → 7/12/16
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7787014 https://web.archive.org/web/20160730191159/http://www.ieem.org/public.asp?page=home.htm

Keywords

Maintenance Waste
Modified FMEA
Risk
Worsening Factors

UN SDGs

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

Access to Document

10.1109/IEEM.2016.7798112

Cite this

Sutrisno, A., Gunawan, I., Vanany, I., & Khorshidhi, H. A. (2016). A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA). In N. Chen, & M. Xie (Eds.), 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016: 4-7 December, 2016, Bali, Indonesia (pp. 1422-1425). Article 7798112 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEEM.2016.7798112

Sutrisno, Agung ; Gunawan, Indra ; Vanany, Iwan et al. / A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA). 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016: 4-7 December, 2016, Bali, Indonesia. editor / Nan Chen ; Min Xie. Danvers, MA : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 1422-1425

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abstract = "Establishment of an improved model for assessing criticality of waste in maintenance operation strongly supports the creation of sustainable manufacturing. However, contribution of previous maintenance engineering studies to above issue is very limited. If any, it is very few intended to create a model for ranking criticality of maintenance waste using risk management tool. In spite of the fact that utilization of risk appraisal tool has been introduced in earlier studies by modifying FMEA, some limitations are still existing and demanding for a better refinement. In this paper, an improved model for calculating the risk of maintenance waste using modification of FMEA is proposed. In evaluating risk criticality of maintenance waste, a new waste priority measure is presented via combining new additional dimensions extended from previous waste criticality evaluation models. In the new model, additional indices, the preventability and controllability scale of waste are included in an attempt to narrowing down limitations on using the detection indices only. An example on using the new waste reprioritization model for maintenance waste risk is provided. The proposed model offers an alternative perspective on evaluating the risk of maintenance waste and an improved model for maintenance waste alleviation.",

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Sutrisno, A, Gunawan, I, Vanany, I & Khorshidhi, HA 2016, A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA). in N Chen & M Xie (eds), 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016: 4-7 December, 2016, Bali, Indonesia., 7798112, IEEE, Institute of Electrical and Electronics Engineers, Danvers, MA, pp. 1422-1425, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016, Bali, Indonesia, 4/12/16. https://doi.org/10.1109/IEEM.2016.7798112

A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA). / Sutrisno, Agung; Gunawan, Indra; Vanany, Iwan et al.
2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016: 4-7 December, 2016, Bali, Indonesia. ed. / Nan Chen; Min Xie. Danvers, MA: IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 1422-1425 7798112.

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

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AU - Vanany, Iwan

AU - Khorshidhi, Hadi Akbarzadeh

PY - 2016/12/27

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N2 - Establishment of an improved model for assessing criticality of waste in maintenance operation strongly supports the creation of sustainable manufacturing. However, contribution of previous maintenance engineering studies to above issue is very limited. If any, it is very few intended to create a model for ranking criticality of maintenance waste using risk management tool. In spite of the fact that utilization of risk appraisal tool has been introduced in earlier studies by modifying FMEA, some limitations are still existing and demanding for a better refinement. In this paper, an improved model for calculating the risk of maintenance waste using modification of FMEA is proposed. In evaluating risk criticality of maintenance waste, a new waste priority measure is presented via combining new additional dimensions extended from previous waste criticality evaluation models. In the new model, additional indices, the preventability and controllability scale of waste are included in an attempt to narrowing down limitations on using the detection indices only. An example on using the new waste reprioritization model for maintenance waste risk is provided. The proposed model offers an alternative perspective on evaluating the risk of maintenance waste and an improved model for maintenance waste alleviation.

AB - Establishment of an improved model for assessing criticality of waste in maintenance operation strongly supports the creation of sustainable manufacturing. However, contribution of previous maintenance engineering studies to above issue is very limited. If any, it is very few intended to create a model for ranking criticality of maintenance waste using risk management tool. In spite of the fact that utilization of risk appraisal tool has been introduced in earlier studies by modifying FMEA, some limitations are still existing and demanding for a better refinement. In this paper, an improved model for calculating the risk of maintenance waste using modification of FMEA is proposed. In evaluating risk criticality of maintenance waste, a new waste priority measure is presented via combining new additional dimensions extended from previous waste criticality evaluation models. In the new model, additional indices, the preventability and controllability scale of waste are included in an attempt to narrowing down limitations on using the detection indices only. An example on using the new waste reprioritization model for maintenance waste risk is provided. The proposed model offers an alternative perspective on evaluating the risk of maintenance waste and an improved model for maintenance waste alleviation.

KW - Maintenance Waste

KW - Modified FMEA

KW - Risk

KW - Worsening Factors

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A2 - Xie, Min

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Danvers, MA

T2 - IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016

Y2 - 4 December 2016 through 7 December 2016

ER -

Sutrisno A, Gunawan I, Vanany I, Khorshidhi HA. A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA). In Chen N, Xie M, editors, 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016: 4-7 December, 2016, Bali, Indonesia. Danvers, MA: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 1422-1425. 7798112 doi: 10.1109/IEEM.2016.7798112

A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA)

Abstract

Conference

Keywords

UN SDGs

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