Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1896
Title: Flow-time estimation in dynamic job shops with priority scheduling using a hybrid modelling approach
Authors : Sigrist, Jörg
Heitz, Christoph
Proceedings: MITIP 2008 : proceedings 10th international conference on the modern information technology in the innovation processes of the industrial enterprises
Pages : 155
Pages to: 160
Conference details: MITIP 2008, 10th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, Prague, 12–14 November 2008
Publisher / Ed. Institution : University of West Bohemia
Publisher / Ed. Institution: Pilsen
Issue Date: 2008
License (according to publishing contract) : Licence according to publishing contract
Type of review: Not specified
Language : English
Subjects : Industrial engineering; Planning; Production
Subject (DDC) : 338: Production
Abstract: A new approach for due date assignment in dynamic job shops with priority scheduling is presented. The future temporal development of the production system, eventually determining the flow-time of a job, is governed by both the processing of the jobs already present in the system as well as the processing of future arriving jobs. We combine a simulation-like approach for the already known jobs with a stochastic model describing the influence of future arriving jobs. The resulting model is a hybrid system dynamics model that can be solved numerically, leading to estimates for the flow-time of all available jobs. In a simulation study, we compare the new approach with other popular methods known in literature. Our results indicate that the new method significantly outperforms all other studied methods in terms of accuracy of the estimates, in most cases by at least a factor of two. Furthermore, the effect of priority scheduling can be modelled correctly, yielding good estimates for jobs of different priorities.
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Publication type: Conference Paper
DOI : 10.21256/zhaw-1896
URI: https://digitalcollection.zhaw.ch/handle/11475/4389
Appears in Collections:Publikationen School of Engineering

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