• DOI:10.1007/978-3-030-69984-0_61
• Corpus ID: 235293790

A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port

@article{Arani2021AST,
  title={A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port},
  author={Mohammad Arani and Saeed Abdolmaleki and Maryam Maleki and Mohsen Momenitabar and Xian Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.00767}
}

• M. Arani, S. Abdolmaleki, +2 authors Xian Liu
• Published 28 May 2021
• Computer Science, Engineering, Mathematics
• ArXiv

This study offers a step-by-step practical procedure from the analysis of the current status of the spare parts inventory system to advanced service level analysis by virtue of simulation-optimization technique for a real-world case study associated with a seaport. The remarkable variety and immense diversity, on one hand, and extreme complexities not only in consumption patterns but also in the supply of spare parts in an international port with technically advanced port operator machinery, on the other hand, have convinced the managers to deal with this issue in a structural framework. The huge available data require cleaning and classification to properly process them and derive reorder point (ROP) estimation, reorder quantity (ROQ) estimation, and associated service level analysis. Finally, from 247,000 items used in 9 years long, 1416 inventory items are elected as a result of ABC analysis integrating with the analytic hierarchy process (AHP), which led to the main items that need to be kept under strict inventory control. The ROPs and the pertinent quantities are simulated by Arena software for all the main items, each of which took approximately 30 minutes run time on a personal computer to determine near-optimal estimations.