Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/838
Title: A simulation analysis of a serial line pull system producing orders with various part types and volumes
Authors: Kesen, Saadettin Erhan
Sert, Mümüne
Keywords: Discrete event simulation
just-in-time
experimental design
scheduling
Issue Date: 2020
Publisher: TAYLOR & FRANCIS INC
Abstract: In practice, orders composed of different part/job types with varying quantities randomly arrive at a production area and they have a due date which designates the latest time before which all jobs in the order should be completed. Therefore, an order can only be fulfilled until all the jobs in that order are finished. This paper studies a pull production environment where there are five serial stations capable of processing different part types and part movement is controlled by a dual-card kanban system in order to reduce work-in-process inventory. Following the definition of a base model with given parameters, we discuss simulation-related experimental design features, performance criteria involving due-date-related ones, statistical analyses and design clusters. Statistical findings for each design cluster with predetermined input factors are interpreted.
URI: https://doi.org/10.1080/02286203.2019.1588007
https://hdl.handle.net/20.500.13091/838
ISSN: 0228-6203
1925-7082
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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