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     Research Journal of Applied Sciences, Engineering and Technology


Short-term Performance Prediction Model for Aviation Job-shop

Ibrahim Y. Sokar, Md. Yusoff Jamaluddin and Mardina Abdullah
Department of Electrical, Electronics and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  7:1442-1447
http://dx.doi.org/10.19026/rjaset.7.415  |  © The Author(s) 2014
Received: May 29, 2013  |  Accepted: June 18, 2013  |  Published: February 20, 2014

Abstract

This study proposes a method to evaluate and diagnose the performance of a job-shop that considers production planning and control aspects, such as throughput, delivery reliability and turnaround time. The short-term performance prediction can be used for weekly performance evaluation. The model considers the actual achieved performance instead of average values. The prediction of the throughput and component completion time in the maintenance repair and overhaul MRO job-shop are considered to be the primary performance indicators, from which other measures can be easily derived, such as job-shop efficiency, capacity utilization, delivery reliability, effectiveness and productivity. The model was tested on a case study, an aircraft component MRO job-shop and the results showed a low prediction error and low standard deviation error compared with those of long-term planned performance.

Keywords:

Component completion time, maintenance job-shop, MRO, performance indicators, throughput,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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