Title: Due date assignment using ADRES and simulated annealing

Authors: Adil Baykasoglu, Mustafa Gocken, Zeynep D. Unutmaz

Addresses: Department of Industrial Engineering, University of Gaziantep, Gaziantep, Turkey. ' Department of Industrial Engineering, University of Gaziantep, Gaziantep, Turkey. ' Department of Industrial Engineering, University of Gaziantep, Gaziantep, Turkey

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.

Keywords: due date assignment; DDA; flowtime estimation; simulated annealing; adaptive response rate; exponential smoothing; simulation; shop load level; dispatching rules.

DOI: 10.1504/IJISE.2008.017421

International Journal of Industrial and Systems Engineering, 2008 Vol.3 No.3, pp.277 - 297

Published online: 07 Mar 2008 *

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