424
Views
16
CrossRef citations to date
0
Altmetric
Articles

RFID-enabled shared resource management for aerospace maintenance operations: a dynamic resource allocation model

&
Pages 100-111 | Received 12 Sep 2010, Accepted 29 Dec 2010, Published online: 16 Mar 2011
 

Abstract

In this article, dynamic resource allocation (DRA) policies for aerospace maintenance operations, enabled by deployment of radio frequency identification (RFID) technologies, are studied via simulation. Similar to a typical aircraft maintenance, repair and overhaul (MRO) type of flow line (i.e. pulse line), each station in the simulated model consists of operation sequence alternatives, as well as resource alternatives for each operation. The simulation study investigates station selection rules for real-time resource sharing, resource selection rules among alternative resources at station level, and number of resource duplicates available in a manufacturing flow line in terms of their effect on system throughput, manufacturing lead time, resource utilisation levels and process wait time for resources. With input provided by an aerospace company, a hypothetical maintenance line with 10 stations is modelled using the Arena™ Simulation package and experimental results are statistically analysed.

Acknowledgement

This study has been partially supported by the NSF Grant #0722923 and the Center for Advanced Manufacturing and Lean Systems (CAMLS) at the University of Texas at San Antonio.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 528.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.