Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization

Anssi Yli-Jyrä; Heini Ikävalko; Tomi Janhunen

doi:10.1007/978-3-031-56940-1_21

Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization

Anssi Yli-Jyrä^*, Heini Ikävalko, Tomi Janhunen

^*Corresponding author for this work

Tampere University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

The maintenance optimization of multi-component machines has been recently formalized as an Answer Set Optimization (ASO) problem based on component selection and grouping of overlapping maintenance intervals. The motivation of the current work is to develop an extension that would integrate resources and availability constraints into this maintenance model. This article outlines an extended ASO model with the primary focus on modeling and optimizing costly maintenance resources, culminating in cost savings facilitated by the progressive development of workforce competence. The model presented in this work extends the cost function of the prior ASO formalization in a modular way with additional cost priorities concerning parallelism, workforce, and expertise. Due to the presented extensions, the complexity of the integrated maintenance model increases compared to the prior formalization.

Original language	English
Title of host publication	Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings
Editors	Arne Meier, Magdalena Ortiz
Publisher	Springer
Pages	381-400
Number of pages	20
ISBN (Print)	978-3-031-56939-5
DOIs	https://doi.org/10.1007/978-3-031-56940-1_21
Publication status	Published - 2024
MoE publication type	A4 Conference publication
Event	International Symposium on the Foundations of Information and Knowledge Systems - Sheffield, United Kingdom Duration: 8 Apr 2024 → 11 Apr 2024 Conference number: 13

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14589 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Symposium on the Foundations of Information and Knowledge Systems
Abbreviated title	FoIKS
Country/Territory	United Kingdom
City	Sheffield
Period	08/04/2024 → 11/04/2024

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10.1007/978-3-031-56940-1_21Licence: CC BY

SCI_Yli-Jyrä_etal_FoIKS_2024Final published version, 595 KBLicence: CC BY

Cite this

Yli-Jyrä, A., Ikävalko, H., & Janhunen, T. (2024). Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization. In A. Meier, & M. Ortiz (Eds.), Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings (pp. 381-400). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14589 LNCS). Springer. https://doi.org/10.1007/978-3-031-56940-1_21

Yli-Jyrä, Anssi ; Ikävalko, Heini ; Janhunen, Tomi. / Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization. Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings. editor / Arne Meier ; Magdalena Ortiz. Springer, 2024. pp. 381-400 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The maintenance optimization of multi-component machines has been recently formalized as an Answer Set Optimization (ASO) problem based on component selection and grouping of overlapping maintenance intervals. The motivation of the current work is to develop an extension that would integrate resources and availability constraints into this maintenance model. This article outlines an extended ASO model with the primary focus on modeling and optimizing costly maintenance resources, culminating in cost savings facilitated by the progressive development of workforce competence. The model presented in this work extends the cost function of the prior ASO formalization in a modular way with additional cost priorities concerning parallelism, workforce, and expertise. Due to the presented extensions, the complexity of the integrated maintenance model increases compared to the prior formalization.",

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Yli-Jyrä, A, Ikävalko, H & Janhunen, T 2024, Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization. in A Meier & M Ortiz (eds), Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14589 LNCS, Springer, pp. 381-400, International Symposium on the Foundations of Information and Knowledge Systems, Sheffield, United Kingdom, 08/04/2024. https://doi.org/10.1007/978-3-031-56940-1_21

Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization. / Yli-Jyrä, Anssi; Ikävalko, Heini; Janhunen, Tomi.
Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings. ed. / Arne Meier; Magdalena Ortiz. Springer, 2024. p. 381-400 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14589 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - The maintenance optimization of multi-component machines has been recently formalized as an Answer Set Optimization (ASO) problem based on component selection and grouping of overlapping maintenance intervals. The motivation of the current work is to develop an extension that would integrate resources and availability constraints into this maintenance model. This article outlines an extended ASO model with the primary focus on modeling and optimizing costly maintenance resources, culminating in cost savings facilitated by the progressive development of workforce competence. The model presented in this work extends the cost function of the prior ASO formalization in a modular way with additional cost priorities concerning parallelism, workforce, and expertise. Due to the presented extensions, the complexity of the integrated maintenance model increases compared to the prior formalization.

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Yli-Jyrä A, Ikävalko H, Janhunen T. Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization. In Meier A, Ortiz M, editors, Foundations of Information and Knowledge Systems - 13th International Symposium, FoIKS 2024, Proceedings. Springer. 2024. p. 381-400. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-56940-1_21

Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization

Abstract

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Conference

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AI-ROT: Artificial Intelligence Optimization for Production Lines Deploying Rotating Machinery

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Integrating Competencies into Preventive Maintenance Scheduling with Answer Set Optimization

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Projects

AI-ROT: Artificial Intelligence Optimization for Production Lines Deploying Rotating Machinery

Cite this