Preventative maintenance of straddle carriers

Si Li, Tim Hathaway, Yue Wu, Udechukwu Ojiako, Alasdair Marshall

Research output: Contribution to journalArticlepeer-review

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Abstract

Background: Robotic vehicles such as straddle carriers represent a popular form of cargo handling amongst container terminal operators. Objectives: The purpose of this industry-driven study is to model preventative maintenance (PM) influences on the operational effectiveness of straddle carriers. Method: The study employs historical data consisting of 21 273 work orders covering a 27-month period. Two models are developed, both of which forecast influences of PM regimes for different types of carrier. Results: The findings of the study suggest that the reliability of the straddle fleet decreases with increased intervals of PM services. The study also finds that three factors – namely resources, number of new straddles, and the number of new lifting work centres – influence the performances of straddles. Conclusion: The authors argue that this collaborative research exercise makes a significant contribution to existing supply chain management literature, particularly in the area of operations efficiency. The study also serves as an avenue to enhance relevant management practice.
Original languageEnglish
Article numbera169
Number of pages9
JournalJournal of Transport and Supply Chain Management
Volume9
Issue number1
DOIs
Publication statusPublished - 30 Apr 2015

Keywords

  • maintenance
  • scheduling
  • planning
  • reliability

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