Modeling the influence of technician proficiency and maintenance strategies on production system performance

Kai Wen Tien, Vittaldas V. Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Maintenance tasks will be the latest automated part of a manufacturing system. Thus, the technician proficiency impacts manufacturing performance. We studied the influence of maintenance proficiency on both machine availability and manufacturing cycle times under three different maintenance strategies: run-to-failure (RTF), preventive maintenance (PM), and condition-based maintenance (CBM). To discuss scenarios in the same framework, we modeled a health-index based phase-type model and a probability model for imperfect maintenance being subject to technician proficiency. Finally, we simulated a single machine queueing model with different technician proficiency and maintenance strategies. The simulation results revealed that CBM could resist lower proficiency and keep higher availability and low manufacturing cycle times than RTF and PM.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
EditorsGyu M. Lee, Gregor von Cieminski, Dimitris Kiritsis, Ilkyeong Moon, Jinwoo Park
PublisherSpringer New York LLC
Pages47-54
Number of pages8
ISBN (Print)9783319997063
DOIs
StatePublished - Jan 1 2018
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of
Duration: Aug 26 2018Aug 30 2018

Publication series

NameIFIP Advances in Information and Communication Technology
Volume536
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
CountryKorea, Republic of
CitySeoul
Period8/26/188/30/18

Fingerprint

Preventive maintenance
Availability
Maintenance strategy
Modeling
Health
Manufacturing
Condition-based maintenance
Cycle time
Probability model
Scenarios
Manufacturing systems
Simulation
Queueing model
Single machine
Manufacturing performance

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

Cite this

Tien, K. W., & Prabhu, V. V. (2018). Modeling the influence of technician proficiency and maintenance strategies on production system performance. In G. M. Lee, G. von Cieminski, D. Kiritsis, I. Moon, & J. Park (Eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 47-54). (IFIP Advances in Information and Communication Technology; Vol. 536). Springer New York LLC. https://doi.org/10.1007/978-3-319-99707-0_7
Tien, Kai Wen ; Prabhu, Vittaldas V. / Modeling the influence of technician proficiency and maintenance strategies on production system performance. Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. editor / Gyu M. Lee ; Gregor von Cieminski ; Dimitris Kiritsis ; Ilkyeong Moon ; Jinwoo Park. Springer New York LLC, 2018. pp. 47-54 (IFIP Advances in Information and Communication Technology).
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Tien, KW & Prabhu, VV 2018, Modeling the influence of technician proficiency and maintenance strategies on production system performance. in GM Lee, G von Cieminski, D Kiritsis, I Moon & J Park (eds), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 536, Springer New York LLC, pp. 47-54, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Korea, Republic of, 8/26/18. https://doi.org/10.1007/978-3-319-99707-0_7

Modeling the influence of technician proficiency and maintenance strategies on production system performance. / Tien, Kai Wen; Prabhu, Vittaldas V.

Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. ed. / Gyu M. Lee; Gregor von Cieminski; Dimitris Kiritsis; Ilkyeong Moon; Jinwoo Park. Springer New York LLC, 2018. p. 47-54 (IFIP Advances in Information and Communication Technology; Vol. 536).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tien KW, Prabhu VV. Modeling the influence of technician proficiency and maintenance strategies on production system performance. In Lee GM, von Cieminski G, Kiritsis D, Moon I, Park J, editors, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Springer New York LLC. 2018. p. 47-54. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-99707-0_7