A real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access

Simple item page
dc.contributor.authorSnyman, Stephanen_ZA
dc.contributor.authorBekker, Jamesen_ZA
dc.contributor.authorBotha, John-Pieteren_ZA
dc.date.accessioned2020-02-28T12:30:42Z
dc.date.available2020-02-28T12:30:42Z
dc.date.issued2018
dc.descriptionCITATION: Snyman, S., Bekker, J. & Botha, J. P. 2018. A real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
dc.descriptionThe original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
dc.description.abstractScheduling is a challenge that continues to trouble management of the operational phase of the manufacturing life cycle and can be attributed to the complex, dynamic and stochastic nature of a manufacturing system. Computer simulation is often used to assist with scheduling, as it can sufficiently mimic complex, discrete, dynamic, stochastic processes. We propose and develop a prototype real-time simulation scheduling system for a sensorised factory, which is to serve as a decision support tool for real-time rescheduling of machine steps in a job shop.en_ZA
dc.description.urihttps://conferences.sun.ac.za/index.php/saiie29/saiie29/paper/view/3575
dc.description.versionPublisher's version
dc.format.extent14 pages
dc.identifier.citationSnyman, S., Bekker, J. & Botha, J. P. 2018. A real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa
dc.identifier.urihttp://hdl.handle.net/10019.1/107554
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institute for Industrial Engineering
dc.rights.holderAuthors retain copyright
dc.subjectJob shop scheduling -- Computer simulationen_ZA
dc.subjectProduction scheduling -- Computer simulationen_ZA
dc.subjectCloud computingen_ZA
dc.subjectMobile computingen_ZA
dc.titleA real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device accessen_ZA
dc.typeConference Paperen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
snyman_realtime_2018.pdf
Size:
667.7 KB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Conference Proceedings (Industrial Engineering)