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Time-Limited Next Arrival heuristic for batch processing and setup reduction in a re-entrant environment

机译:在重新参与环境中,下次到达后到达启发式批处理和设置减少

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This paper presents a new batch scheduling heuristic - the Time-Limited Next Arrival heuristic for batch processing and setup reduction (TLNA). This heuristic has been defined for a batch processing machine group in a re-entrant manufacturing environment where setups are sequence-dependent. When making the scheduling decision, TLNA takes into account future arrivals based on a user-defined wait time. A series of experiments is conducted on a discrete event simulation model to determine the impact of this wait time. A total cost function is used to combine two conflicting performance measures (total item queuing time and total machine running time) into one. All TLNA wait time scenarios are compared to the Next Arrival Control Heuristic for Multiple products and Multiple machines (NACHMM). The experiments presented show that there is a wait time that minimises the total operational cost. TLNA outperforms NACHMM with regard to all performance measures except total queuing time.
机译:本文提出了一个新的批量调度启发式 - 用于批处理和设置减少的下一次到达启发式(TLNA)。该启发式已经为批量加工机组进行了定义,其中设置了序列依赖的再参赛者制造环境。在进行调度决策时,TLNA基于用户定义的等待时间考虑了未来的到来。在离散事件仿真模型上进行了一系列实验,以确定这一等待时间的影响。总成本函数用于将两个冲突的性能措施(总项目排队时间和总机运行时间)结合到一个中。将所有TLNA等待时间场景与多种产品和多台机器(NACHMM)进行比较。提出的实验表明,等待时间最小化总操作成本。 TLNA优于NACHMM关于除了总排队时间的所有性能措施。

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