Journal of Northeastern University(Natural Science) ›› 2025, Vol. 46 ›› Issue (7): 71-83.DOI: 10.12068/j.issn.1005-3026.2025.20240193

• Industrial Intelligent Theory and Methods • Previous Articles     Next Articles

Analytical Modeling and Performance Evaluation of Multi-stage Assembly Lines with Line-Side Buffers

Peng-hao CUI1, Qi-man ZHANG1, Zhong-zhong JIANG1(), Guo-jun SHENG2   

  1. 1.School of Business Administration,Northeastern University,Shenyang 110169,China
    2.COSMOPlat Industrial Intelligence Research Institute (Qingdao) Co. ,Ltd. ,Qingdao 266500,China.
  • Received:2024-10-25 Online:2025-07-15 Published:2025-09-24
  • Contact: Zhong-zhong JIANG

Abstract:

The output performance of assembly lines is not only affected by machine unreliability and limited buffer capacity but also constrained by line-side buffers. The analytical modeling and performance evaluation of multi-stage assembly lines with line-side buffers were investigated. Firstly, for the single-stage assembly lines, the steady-state probability distribution of system states was derived based on Markov chains. Secondly, for the two-stage assembly lines, each single-stage subsystem was modeled as a machine with one operational state and one failure state. A performance evaluation model was then established using Markov chains, and closed-form expressions for performance indicators were obtained. Thirdly, for the multi-stage assembly lines, an aggregation method was proposed to approximate the performance indicators. Furthermore, the accuracy of the performance evaluation method was validated through numerical experiments. Finally, utilizing the proposed method, numerical experiments were conducted to examine system properties, such as reversibility and monotonicity in the multi-stage assembly lines.

Key words: multi-stage assembly lines, line-side buffer, analytical modeling, performance evaluation, Markov chain

CLC Number: