Fuzzy-based system reliability of a labour-intensive manufacturing network with repair
Fuzzy-based system reliability of a labour-intensive manufacturing network with repair
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DOI：
10.1080/00207543.2014.944279
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发表时间：
2015-04-03
影响因子：
9.2
通讯作者：
Lin, Yi-Kuei
中科院分区：
文献类型：
--
作者：
Chang, Ping-Chen;Lin, Yi-Kuei
本文提出了一种基于模糊的评估模型来评估的劳动密集型制造系统的维修活动的系统可靠性。由于人的表现的不确定性，劳动密集型制造系统必须确定每个工人的能力，以准确地衡量系统的性能。因此，我们模拟这样的制造系统作为一个模糊多状态网络，以消除劳动者的工作站性能的影响。首先，工作站的可靠性定义根据负载状态的三个模糊隶属函数，即“欠载”，“正常加载”和“过载”，分别。随后，系统的可靠性评估与模糊交集运算在这些工作站的可靠性。因此，系统可靠性被定义为一个模糊隶属函数，以评估制造系统的性能是否足以可靠地满足需求。一个鞋类制造系统的案例研究说明了所提出的模型。此外，我们将所提出的模型应用到非劳动密集型制造网络，以验证这类系统的适用性。
This paper presents a fuzzy-based assessment model to evaluate system reliability of a labour-intensive manufacturing system with repair actions. Due to the uncertainty in human performance, labour-intensive manufacturing systems must determine the capacity of each labourer in order to accurately characterise the performance of the systems. Therefore, we model such a manufacturing system as a fuzzy multi-state network in order to characterise the labourers' influence on workstation performance. First, the workstation reliability is defined according to the loading state by three fuzzy membership functions, namely 'under loading', 'normal loading' and 'over loading', respectively. The system reliability is subsequently evaluated with fuzzy intersection operations in terms of these workstation reliabilities. Thus, the system reliability is defined as a fuzzy membership function to assess whether the manufacturing system performance is sufficient to satisfy the demand reliably. A case study of a footwear manufacturing system is illustrated to explain the proposed model. Furthermore, we apply the proposed model to a non-labour-intensive manufacturing network in order to validate the applicability to this class of systems.