Due date assignment using ADRES and simulated annealing

Adil Baykasoglu, Mustafa Gocken and Zeynep D. Unutmaz

International Journal of Industrial and Systems Engineering, 2008, vol. 3, issue 3, 277-297

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. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=17421 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:3:y:2008:i:3:p:277-297

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().