A simulation analysis of a serial line pull system producing orders with various part types and volumes. (3rd May 2020)

• Record Type: Journal Article
• Authors: Kesen, Saadettin Erhan; Sert, Mümüne
• Is Part Of: International journal of modelling & simulation. Volume 40:Number 3(2020)
• Page Start: 184
• Page End: 200
• Publication Date: 2020-05-03
• Subjects: Discrete event simulation -- just-in-time -- experimental design -- scheduling; Mathematical models -- Periodicals; Simulation methods -- Periodicals; Mathematical models; Simulation methods; Periodicals; 003.3
• DOI: 10.1080/02286203.2019.1588007
• Languages: English
• ISSNs: 0228-6203

Abstract

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.