Due date assignment using ADRES and simulated annealing Online publication date: Fri, 07-Mar-2008
by Adil Baykasoglu, Mustafa Gocken, Zeynep D. Unutmaz
International Journal of Industrial and Systems Engineering (IJISE), Vol. 3, No. 3, 2008
Abstract: 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.
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