Skip to Main content Skip to Navigation
Conference papers

Modeling the Maintenance Time Considering the Experience of the Technicians

Abstract : Typically, maintaining a machine requires two different distinct tasks: to select which components to focus their attention; and the subsequent task is to check, repair or replace the selected components. For both tasks, the experience of technicians plays a critical role. An experienced technician is likely to select fewer components and requires less time for the subsequent task compared to an inexperienced technician. As a result, the maintenance time will be varied depending on the experience of the technicians. Extant research for maintenance has predominantly used exponential distribution family for modeling primarily because of its analytical tractability but at the cost of fidelity and inability to capture important characteristics such as technicians’ experience. With the growing adoption of networked sensors based on Internet of Things (IoT), big data, and real-time machinery diagnostics using artificial intelligence it is imperative to develop models with better fidelity for maintenance operations. Therefore, in this paper, we explore a model based on using the negative-hyper geometric distribution for maintenance time that varies based on the technicians’ experience. Our proposed approach requires more inputs such as (1) number of components, (2) number of components not in working state (3) technician’s experience level, and (4) time to fix a component based on the technicians’ experience. For instance, input for (2) could be obtained from IoT sensors and diagnostics. We study the efficacy of the proposed model using computer simulations and statistically characterize the possible impact of technician experience on the parameters of the maintenance distribution.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-02419198
Contributor : Hal Ifip <>
Submitted on : Thursday, December 19, 2019 - 1:13:57 PM
Last modification on : Thursday, December 19, 2019 - 2:15:55 PM
Long-term archiving on: : Friday, March 20, 2020 - 7:08:17 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Hyunjong Shin, Kai-Wen Tien, Vittaldas Prabhu. Modeling the Maintenance Time Considering the Experience of the Technicians. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.716-721, ⟨10.1007/978-3-030-30000-5_87⟩. ⟨hal-02419198⟩

Share

Metrics

Record views

60