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Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation

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Yao, Fengjia, Alkan, Bugra, Ahmad, Bilal and Harrison, Robert (2020) Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation. Sensors, 20 (21). 6333. doi:10.3390/s20216333 ISSN 1424-8220.

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Official URL: http://dx.doi.org/10.3390/s20216333

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Abstract

Autonomous guided vehicles (AGVs) are driverless material handling systems used for transportation of pallets and line side supply of materials to provide flexibility and agility in shop-floor logistics. Scheduling of shop-floor logistics in such systems is a challenging task due to their complex nature associated with the multiple part types and alternate material transfer routings. This paper presents a decision support system capable of supporting shop-floor decision-making activities during the event of manufacturing disruptions by automatically adjusting both AGV and machine schedules in Flexible Manufacturing Systems (FMSs). The proposed system uses discrete event simulation (DES) models enhanced by the Internet-of-Things (IoT) enabled digital integration and employs a nonlinear mixed integer programming Genetic Algorithm (GA) to find near-optimal production schedules prioritising the just-in-time (JIT) material delivery performance and energy efficiency of the material transportation. The performance of the proposed system is tested on the Integrated Manufacturing and Logistics (IML) demonstrator at WMG, University of Warwick. The results showed that the developed system can find the near-optimal solutions for production schedules subjected to production anomalies in a negligible time, thereby supporting shop-floor decision-making activities effectively and rapidly.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TS Manufactures
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Automated guided vehicle systems, Automobiles -- Automatic control, Internet of things, Flexible manufacturing systems
Journal or Publication Title: Sensors
Publisher: MDPI AG
ISSN: 1424-8220
Official Date: 6 November 2020
Dates:
DateEvent
6 November 2020Published
30 September 2020Accepted
Volume: 20
Number: 21
Article Number: 6333
DOI: 10.3390/s20216333
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 18 November 2020
Date of first compliant Open Access: 19 November 2020
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIED[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDInnovate UKhttp://dx.doi.org/10.13039/501100006041

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