Due date assignment using ADRES and simulated annealing
Due date assignment using ADRES and simulated annealing
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DOI：
10.1504/ijise.2008.017421
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发表时间：
2008-03
影响因子：
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通讯作者：
A. Baykasoğlu;M. Göçken;Zeynep D. Unutmaz
中科院分区：
文献类型：
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作者：
A. Baykasoğlu;M. Göçken;Zeynep D. Unutmaz
本文利用自适应响应率指数平滑（ADRES）和模拟退火（SA）这两种统计技术，研究了流水时间估计和/或交货期分配（DDA）问题。本研究的主要目的是比较准确的到期日分配模型（DDAM）。为了实现这一目标，仿真模型构建代表不同的车间负荷水平，并使用不同的调度规则。本文对个案调查结果进行了总结。
In this paper, flowtime estimation and/or Due Date Assignment (DDA) is studied by making use of a statistical technique, namely Adaptive Response Rate Exponential Smoothing (ADRES) and Simulated Annealing (SA). Primary objective of this study is to compare accuracies of the Due Date Assignment Models (DDAMs). In order to achieve this objective, simulation models are constructed representing different shop load level and using different despatching rules. Case by case findings are summarised in this paper.