文章基本信息

标题：Dynamic Production Order Allocation for Distributed Additive Manufacturing
本地全文：下载
作者：Icaro Romolo Sousa Agostino ; Enzo Morosini Frazzon ; Symone Gomes Soares Alcala 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：10658-10663
DOI：10.1016/j.ifacol.2020.12.2832
语种：English
出版社：Elsevier
摘要：AbstractDistributed manufacturing systems represent a new paradigm in the industrial context, supported by new technologies provided by industry 4.0. In this paper, a model for dynamic allocation of Production Orders (PO) in the context of distributed additive manufacturing systems is proposed. The scheduling model performs a local optimization of PO allocation considering a production times forecasting model, fed by system state data obtained by means of an IoT platform, and transportation real-time data. A simulation-based experiment was conducted in a test case with real and simulated data collected from an elevator spare parts provider in Brazil. A significant reduction of 77.94% of the Average Waiting Time (AWT) was obtained, allowing for an increased efficiency of the additive manufacturing system, which supports the forthcoming pilot application.
关键词：KeywordsDecentralizeddistributed controlJobactivity schedulingInternet-of-ThingsSensing Enterprise