• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks
 
  • Details
  • Full
Options
2022
Journal Article
Title

Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks

Abstract
With the popularization of service-oriented manufacturing, the current operation & maintenance (O&M) has shifted from traditional in-house maintenance to proactive outsourcing maintenance. It is paramount for an original equipment manufacturer (OEM) to provide timely and cost-effective maintenance schemes to geographically distributed customer enterprises. Interestingly, transportation theories could be combined to facilitate multi-location O&M management. In this paper, a transportation-oriented cross-regional opportunistic maintenance (TCOM) policy is developed for solving O&M optimizations and planning real-time schemes for the multi-center service network. The optimization model of this TCOM policy addresses several inter-related decisions: (1) most suitable maintenance times for each leased machine, (2) cost-effective arrangements of technician teams to perform maintenance tasks, and (3) optimal service routes for required teams. We not only integrate maintenance grouping and technician routing, but also investigate the new issues arising from the collaborative sharing of technician teams belonging to different maintenance centers. Numerical examples show that this TCOM policy can achieve significant cost-saving in cross-regional maintenance grouping and multi-location routing optimization for OEMs.
Author(s)
Si, G.
Xia, T.
Zhang, K.
Wang, D.
Pan, E.
Xi, L.
Journal
IEEE Transactions on Automation Science and Engineering  
DOI
10.1109/TASE.2021.3132694
Language
English
FPC@SJTU  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024