Joint maintenance scheduling and routing optimization for geographically dispersed production systems
H.S.H. Nguyen, P. Do, B. Iung and H.C. Vu
https://doi.org/10.19124/ima.2018.001.19
Abstract
We develop a joint optimization between maintenance planning based on dynamic grouping approach and maintenance team routing for a geographically dispersed production system (GDPS). First, the interactions between the maintenance planning and routing scheduling are analyzed and formulated. A joint implementation of Local Search Genetic Algorithm (LSGA) and a new maintenance routing algorithm based on Branch and Bound (BAB) is then proposed to solve the joint optimization problem. The uses and advantages of the proposed joint optimization approach are illustrated through a numerical example of a GDPS consisting
of fifteen components located in five different sites.