NDLI: Performance evaluation of kanban multiple-product production systems

Content Provider	IEEE Xplore Digital Library
Author	Duri, C. Frein, Y. Di Mascolo, M.
Copyright Year	1995
Description	Author affiliation: Lab. d'Autom. de Grenoble, ENSIEG/INPG, Saint Martin d'Heres, France (Duri, C.; Frein, Y.; Di Mascolo, M.)
Abstract	Kanban systems provide a way to implement a pull-type control policy. In this paper, we propose an analytical method for approximating the performance of a multiple-product kanban production system. This method uses the queueing network model of the kanban system, which is a closed multiclass queueing network (each class represents one type of kanban). It is based on the product-form approximation technique and is an extension of a previous method which had been programmed for mono-product kanban production systems with general topology. For multiple-product production systems, we can have several different types of products on a machine (we have restricted our study to only two types). So, we have a new problem: we must define the processing order of products. We can distinguish two cases according to set-up times. If set-up times are not null, we must try to limit the number of set-ups. But, if set-up times are null, we can choose the processing order without worrying about the limitation of set-ups number. We have realized the analysis for this second case in characterizing service time distributions with two moments. Finally, to test the method, we have compared analytical results to simulation results.
Starting Page	557
Ending Page	566
File Size	770203
Page Count	10
File Format	PDF
ISBN	0780325354
DOI	10.1109/ETFA.1995.496756
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems Electronic mail Performance analysis Control systems Network topology Testing Analytical models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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