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Queue Length Forecasting in Complex Manufacturing Job Shops

wbk Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131 Karlsruhe, Germany
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Academic Editors: Walayat Hussain, Asma Alkalbani and Honghao Gao
Forecasting 2021, 3(2), 322-338; https://doi.org/10.3390/forecast3020021
Received: 31 March 2021 / Revised: 29 April 2021 / Accepted: 3 May 2021 / Published: 11 May 2021
(This article belongs to the Special Issue Forecasting with Machine Learning Techniques)
Currently, manufacturing is characterized by increasing complexity both on the technical and organizational levels. Thus, more complex and intelligent production control methods are developed in order to remain competitive and achieve operational excellence. Operations management described early on the influence among target metrics, such as queuing times, queue length, and production speed. However, accurate predictions of queue lengths have long been overlooked as a means to better understanding manufacturing systems. In order to provide queue length forecasts, this paper introduced a methodology to identify queue lengths in retrospect based on transitional data, as well as a comparison of easy-to-deploy machine learning-based queue forecasting models. Forecasting, based on static data sets, as well as time series models can be shown to be successfully applied in an exemplary semiconductor case study. The main findings concluded that accurate queue length prediction, even with minimal available data, is feasible by applying a variety of techniques, which can enable further research and predictions. View Full-Text
Keywords: complex job shop; queue forecasting; prediction; material flow; semiconductor manufacturing complex job shop; queue forecasting; prediction; material flow; semiconductor manufacturing
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MDPI and ACS Style

May, M.C.; Albers, A.; Fischer, M.D.; Mayerhofer, F.; Schäfer, L.; Lanza, G. Queue Length Forecasting in Complex Manufacturing Job Shops. Forecasting 2021, 3, 322-338. https://doi.org/10.3390/forecast3020021

AMA Style

May MC, Albers A, Fischer MD, Mayerhofer F, Schäfer L, Lanza G. Queue Length Forecasting in Complex Manufacturing Job Shops. Forecasting. 2021; 3(2):322-338. https://doi.org/10.3390/forecast3020021

Chicago/Turabian Style

May, Marvin C., Alexander Albers, Marc D. Fischer, Florian Mayerhofer, Louis Schäfer, and Gisela Lanza. 2021. "Queue Length Forecasting in Complex Manufacturing Job Shops" Forecasting 3, no. 2: 322-338. https://doi.org/10.3390/forecast3020021

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