Buffer allocation, equipment selection and line balancing optimisation in unreliable production lines

N. Nahas
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引用次数: 4

Abstract

This paper presents an integrated optimisation model to simultaneously solve buffer allocation, equipment selection and line balancing problems in unreliable production line systems. The considered unreliable serial production line consists of m workstations and m − 1 intermediate buffers. The objective is to maximise the system throughput level. A decomposition method is used to estimate the production line throughput. The decision variables in the formulated optimal design problem are buffer levels, types of equipment and the sets of tasks assigned to the workstations. An efficient algorithm, based on the nonlinear threshold accepting algorithm (NLTA) is proposed to solve this problem. The efficiency of the proposed approach is compared to existing algorithms and first tested on a simple assembly line balancing type-2 problem (SALB-2). Here the objective is to minimise the cycle time with a fixed number of workstations. In the second numerical experiment, the integrated model is solved using the NLTA, and its performance is compared to that of the great deluge algorithm (GDA) through several numerical examples. [Received: 9 June 2018; Revised: 15 September 2018; Revised: 18 April 2019; Accepted: 2 August 2019]
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对不可靠生产线进行缓冲分配、设备选择和生产线平衡优化
提出了一种同时解决不可靠生产线系统中缓冲区分配、设备选择和生产线平衡问题的集成优化模型。考虑不可靠的串行生产线由m个工作站和m−1个中间缓冲器组成。目标是最大化系统吞吐量水平。采用分解法对生产线的产量进行估计。制定的优化设计问题中的决策变量是缓冲区级别、设备类型和分配给工作站的任务集。提出了一种基于非线性阈值接受算法(NLTA)的有效算法来解决这一问题。将该方法的效率与现有算法进行了比较,并首先在一个简单的装配线平衡类型2问题(SALB-2)上进行了测试。这里的目标是通过固定数量的工作站来最小化周期时间。在第二次数值实验中,采用NLTA对综合模型进行求解,并通过若干数值算例将其性能与大洪水算法(GDA)进行比较。[收稿日期:2018年6月9日;修订日期:2018年9月15日;修订日期:2019年4月18日;录用日期:2019年8月2日]
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