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Performance assessment of warehouse logistics management: a case study of shipyard, China

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  • Ningfei Wang
  • Jingbo Yin

Abstract

This study aims to enhance warehouse logistics management by introducing a hybrid performance assessment model tailored for shipyard warehouses. The model utilises ten criteria derived from the plan-cost-quality-security (PCQS) framework. A mathematical model is developed, integrating three calculation rules and weights within a quantitative performance assessment (QPA) system. This research applies an artificial bee colony algorithm to ascertain optimal combination weights among four weighting methods. Additionally, a fuzzy performance model (FPM) with a triangular membership function converts numerical data into understandable linguistic performance levels. When benchmarked against established tools like the balanced scorecard (BSC) and data envelopment analysis (DEA), the proposed model aligns well with practical management needs. The results demonstrate the model's ability to accurately evaluate warehouse performance and precisely identify the influencing criteria. Consequently, this hybrid approach serves as an effective means of assessing and improving warehouse logistics operations. [Submitted: 3 July 2024; Accepted: 30 March 2026]

Suggested Citation

  • Ningfei Wang & Jingbo Yin, 2026. "Performance assessment of warehouse logistics management: a case study of shipyard, China," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 21(3/4), pages 561-589.
    • Handle: RePEc:ids:eujine:v:21:y:2026:i:3/4:p:561-589
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