An Analytical Framework for Handling Production Time Variety at Workstations of Mixed-model Assembly Lines
An Analytical Framework for Handling Production Time Variety at Workstations of Mixed-model Assembly Lines
复制标题
处理混合模型装配线工作站生产时间变化的分析框架
DOI：
10.1016/j.procir.2015.12.080
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Westkämper
中科院分区：
文献类型：
--
作者：
Abou-Haydar;Westkämper
In recent years market demands have shifted towards customized products. As a result many manufacturing companies face an increasing variety of their product range. As it is not profitable to install new assembly lines for each product, assembly lines have to be able to handle different products in batch size one. In literature these lines are called mixed-model lines. They follow the logical principal of flow production but are capable of producing different products while needing minimal modification of assembly processes at the workstations.While mixed-model lines help manufacturing companies handling product differences profitably, they result in a number of challenges for the production process. One major challenge is related to the varying assembly times at a single workstation due to different products.Actions have to be taken to cope with assembly time that is over cycle time, in order to avoid stops in a flow production. For economical reasons manufacturing companies have to be able to work at a high workload utilization on average. Therefore it is necessary to have a detailed look at the workstations’ situation regarding production time variety.To address this, an analytical framework for assembly lines, based on a mixed-model line principle, is given to identify workstations that face high complexity regarding production time variety. This analytical framework contains several aspects focusing on production time variety as drifting probability, utilization and statistical dispersion. By using this framework, companies can apply their actions and line balancing more precisely to the situation at a workstation. Thus, manufacturing companies are able to handle complexity effectively and to reach a high workload utilization in their mixed-model assembly line.
影响因子：
4.1
作者：
E. Westkämper
通讯作者：
E. Westkämper
影响因子：
2.7
作者：
J. Roscher
通讯作者：
J. Roscher