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Article

Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0

Department of Engineering Management and Enterprise, Faculty of Engineering, University of Debrecen, Ótemető utca 2-4, HU-4028 Debrecen, Hungary
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Processes 2020, 8(8), 912; https://doi.org/10.3390/pr8080912
Received: 1 July 2020 / Revised: 23 July 2020 / Accepted: 27 July 2020 / Published: 1 August 2020
(This article belongs to the Section Process Control and Supervision)
Numerous organizations are striving to maximize the profit of their businesses by the effective implementation of competitive advantages including cost reduction, quick delivery, and unique high-quality products. Effective production-scheduling techniques are methods that many firms use to attain these competitive advantages. Implementing scheduling techniques in high-mix low-volume (HMLV) manufacturing industries, especially in Industry 4.0 environments, remains a challenge, as the properties of both parts and processes are dynamically changing. As a reaction to these challenges in HMLV Industry 4.0 manufacturing, a newly advanced and effective real-time production-scheduling decision-support system model was developed. The developed model was implemented with the use of robotic process automation (RPA), and it comprises a hybrid of different advanced scheduling techniques obtained as the result of analytical-hierarchy-process (AHP) analysis. The aim of this research was to develop a method to minimize the total production process time (total make span) by considering the results of risk analysis of HMLV manufacturing in Industry 4.0 environments. The new method is the combination of multi-broker (MB) optimization and a genetics algorithm (GA) that uses general key process indicators (KPIs) that are easy to measure in any kind of production. The new MB–GA method is compatible with industry 4.0 environments, so it is easy to implement. Furthermore, MB–GA deals with potential risk during production, so it can provide more accurate results. On the basis of survey results, 16% of the asked companies could easily use the new scheduling method, and 43.2% of the companies could use it after a little modification of production. View Full-Text
Keywords: decision-support system; real-time production-scheduling techniques; RPA; HMLV production; risk analysis; Industry 4.0 decision-support system; real-time production-scheduling techniques; RPA; HMLV production; risk analysis; Industry 4.0
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MDPI and ACS Style

Kocsi, B.; Matonya, M.M.; Pusztai, L.P.; Budai, I. Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0. Processes 2020, 8, 912. https://doi.org/10.3390/pr8080912

AMA Style

Kocsi B, Matonya MM, Pusztai LP, Budai I. Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0. Processes. 2020; 8(8):912. https://doi.org/10.3390/pr8080912

Chicago/Turabian Style

Kocsi, Balázs; Matonya, Michael M.; Pusztai, László P.; Budai, István. 2020. "Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0" Processes 8, no. 8: 912. https://doi.org/10.3390/pr8080912

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