首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Performance evaluation of priority dispatching rules in multi-level assembly job shops with jobs having weights for flowtime and tardiness
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Performance evaluation of priority dispatching rules in multi-level assembly job shops with jobs having weights for flowtime and tardiness

机译:具有权重时间和拖延性的多层装配车间的优先调度规则的性能评估

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摘要

The problem of scheduling in dynamic shops is an important operational problem in view of its complexity and significance in terms of associated costs of scheduling. While a number of research studies have investigated the problem of scheduling in flow shops and job shops, only some attempts have been done to study the problem of scheduling in assembly job shops that manufacture multi-level jobs. The problem of scheduling in dynamic assembly job shops with jobs having weights for holding and tardiness of jobs deserves due attention. In this study an attempt has been made to propose new priority dispatching rules that minimize the performance measures related to weighted flowtime and weighted tardiness of jobs. The existing unweighted dispatching rules have been modified in view of the consideration of weights for flowtime and tardiness of jobs. The performances of the (modified) existing dispatching rules and the proposed dispatching rules are compared through exhaustive simulation experiments with the consideration of a number of different experimental settings involving due-date setting, utilization levels and types of job structures. The proposed dispatching rules are found to perform better than the existing ones in most experimental settings and with respect to a number of measures of performance.
机译:鉴于其复杂性和在相关联的调度成本方面的重要性,动态车间中的调度问题是重要的操作问题。尽管许多研究调查了流动车间和作业车间中的调度问题,但仅进行了一些尝试来研究制造多层作业的装配式作业车间中的调度问题。在动态装配车间中,具有权重保持和拖延性的作业的调度问题值得适当注意。在这项研究中,已尝试提出新的优先级分配规则,以最大程度地减少与加权流动时间和加权拖延作业有关的绩效指标。考虑到流动时间和工作延迟的权重,对现有的未加权调度规则进行了修改。通过详尽的模拟实验,比较(修改后的)现有调度规则和提议的调度规则的性能,并考虑了许多不同的实验设置,包括截止日期设置,使用级别和工作结构类型。在大多数实验环境中,就许多性能指标而言,建议的调度规则的性能要优于现有调度规则。

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