Agent based job scheduling for a vehicle engine reconditioning machine shop

Simple item page
dc.contributor.authorNyanga, L.en_ZA
dc.contributor.authorVan der Merwe, A. F.en_ZA
dc.contributor.authorBurawa, M.en_ZA
dc.contributor.authorMatope, S.en_ZA
dc.contributor.authorDewa, M. T.en_ZA
dc.date.accessioned2016-07-19T08:57:27Z
dc.date.available2016-07-19T08:57:27Z
dc.date.issued2016
dc.descriptionCITATION: Nyanga, L., et al. 2016. Agent based job scheduling for a vehicle engine reconditioning machine shop. In Competitive Manufacturing, International Conference on Competitive Manufacturing (COMA '16), 27-29 January 2016, Stellenbosch, Stellenbosch University, South Africa.
dc.descriptionThe original publication is available at http://conferences.sun.ac.za/index.php/doie/coma16
dc.description.abstractENGLISH ABSTRACT: Job scheduling at a machine shop is a multi-decision criteria problem whose skills are acquired after some years of experience. For Small, Medium to Micro Enterprises (SMMEs) with limited machinery the objective when scheduling jobs should not only focus on machine utilization but also on the increase of job through put. The paper presents an agent based job scheduling system for a vehicle engine reconditioning machine shop to assist decision makers in job scheduling. The Analytic Hierarchy Process (AHP) method was used to compute the relative weights of each decision criteria used for job scheduling considering the job priority. The value of the job, the number of operations to be performed, the engine type, the frequency of the customer and the company to customer relationship rating are used to prioritize the jobs. A Multi Agent System (MAS) comprising of the provider, job allocator and machine agents is developed using the Java Agent development framework (JADE) methodology and modelled using Unified Modelling Language (UML 2). The provider agent schedules all the jobs based on job weight and earliest due dates. The job allocator agent is responsible for making sure that all the scheduled jobs are allocated to all the machines after which they are registered as complete jobs and can leave the system.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Geen opsomming beskikbaaraf_ZA
dc.description.versionPublishers version
dc.format.extent7 pagesen_ZA
dc.identifier.citationNyanga, L., et al. 2016. Agent based job scheduling for a vehicle engine reconditioning machine shop. In Competitive Manufacturing, International Conference on Competitive Manufacturing (COMA '16), 27-29 January 2016, Stellenbosch, Stellenbosch University, South Africa
dc.identifier.isbn978-0-7972-1602-0
dc.identifier.urihttp://hdl.handle.net/10019.1/99212
dc.language.isoen_ZAen_ZA
dc.publisherFaculty of Engineering, Department of Industrial Engineering, Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectMulti agent systemen_ZA
dc.subjectAnalytic hierarchy processen_ZA
dc.subjectHierarchical clustering (Cluster analysis)en_ZA
dc.subjectJava (Computer program language)en_ZA
dc.subjectMultiagent systemsen_ZA
dc.titleAgent based job scheduling for a vehicle engine reconditioning machine shopen_ZA
dc.typeConference Paperen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
nyanga_agent_2016.pdf
Size:
509.08 KB
Format:
Adobe Portable Document Format
Description:
Download paper
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.95 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Conference Proceedings (Industrial Engineering)