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AN INTEGRATED MULTI-OBJECTIVE PRODUCTION SCHEDULING APPROACH CONSIDERING MISSION RELIABILITY

  • Jiayang Li*
  • , Yihai He
  • , Yuqi Cai
  • , Haibin Cao
  • , Hanjun Guo
  • , Haiyun Lu
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

In production transportation systems, such as mine production systems, the transportation component is a critical part of the production process, and its operational reliability significantly impacts the overall health of the production system. Traditional scheduling plans for these systems typically focus solely on transportation costs and total transportation volume, neglecting the influence of various factors in the transportation process. This oversight can affect the reliability of the final production task. Therefore, this paper incorporates the mission reliability of the production and transportation system into the scheduling decision-making process to propose a more reasonable production scheduling scheme. Firstly, the paper introduces the basis for production scheduling that considers mission reliability from the perspective of the material flow network. Secondly, it proposes a multi-objective integrated production scheduling method that incorporates mission reliability, using a hybrid simulated annealing-genetic algorithm. The effectiveness of this approach is verified through the scheduling of mine vehicles on a mine production line.

Original languageEnglish
Pages (from-to)555-561
Number of pages7
JournalIET Conference Proceedings
Volume2024
Issue number12
DOIs
StatePublished - 2024
Event14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024 - Harbin, China
Duration: 24 Jul 202427 Jul 2024

Keywords

  • HYBRID SIMULATION ANNEALING-GENETIC ALGORITHM
  • MATERIAL FLOW MODEL
  • MISSION RELIABILITY
  • MULTI-OBJECTIVE
  • PRODUCTION SCHEDULING

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