Buffer allocation in asynchronous serial production systems with Bernoulli machines during transients

被引：0
|
作者：
Chen, Wenchong [1 ]
Liu, Hongwei [2 ]
Qi, Ershi [2 ]
机构：
[1] College of Management, Hangzhou Dianzi University, Hangzhou, China
[2] College of Management and Economics, Tianjin University, Tianjin, China
来源：
International Journal of Industrial and Systems Engineering | 2021年 / 39卷 / 02期
关键词：
Particle swarm optimization (PSO) - Profitability - Integer programming;
D O I：
10.1504/IJISE.2021.118263
中图分类号：
学科分类号：
摘要：
Some asynchronous production systems can never be truly balanced. This phenomenon demands the incorporation of asynchronism and unreliability in buffer allocation problems (BAPs). This paper reports a BAP in an asynchronous serial production system with Bernoulli machines. A profit-based integer programming model is formulated to maximise the throughput and minimise the buffer capacity simultaneously. Because the production run is finite in the current mass customisation environment, a transient analysis is used to estimate the system performance. Piecewise closed-form expressions are derived for a two-machine case based on Markovian structures. For M > 2 machine lines, an efficient recursive algorithm based on aggregation is developed. Considering the nonlinear characteristic of this BAP, a dynamic-objective particle swarm optimisation with neighbourhood searching is developed. This approach is verified by a case from an assembly plant. The results demonstrate that the programming method can increase the system profit by 1.85%. Copyright © 2021 Inderscience Enterprises Ltd.
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页码：176 / 204
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