Dynamic Maintenance Scheduling based on Cost Analysis and Genetic Algorithm for Offshore Facilities

EasyChair Preprint 618

Abstract

This paper introduces a dynamic Maintenance Work Order (MWO) schedule model for offshore facilities’ daily maintenance management. The objective of the MWO schedule model is to improve maintenance performance by reducing MWO overall delay and suspension time and the related cost. More facilities now are equipped with predictive maintenance systems to generate MWOs in short time periods, which means periodical maintenance forecasting and planning strategies are now challenged by a more dynamic context. We examine these challenges and design a model to generate an optimal MWO schedule instantly, based on cost analysis and real-time data processed by customized heuristic algorithms.

Keyphrases: Dynamic modeling and visualisation, Genetic Algorithm, cost analysis, maintenance scheduling

@booklet{EasyChair:618,
  author    = {Guicang Peng and Tore Markeset},
  title     = {Dynamic Maintenance Scheduling based on Cost Analysis and Genetic Algorithm for Offshore Facilities},
  doi       = {10.29007/f7ff},
  howpublished = {EasyChair Preprint 618},
  year      = {EasyChair, 2018}}