Application of clustering and scheduling techniques for technician dispatching
120 p.
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2010
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sg-ntu-dr.10356-360502023-03-11T17:01:29Z Application of clustering and scheduling techniques for technician dispatching Gurusamy Chithra Selvi. Au Chi kit School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Operations research 120 p. This project deals with a real world dispatching problem concerning technicians, such as service/repair persons or equipment installers. The problem is to assign a set of jobs, at different locations with time windows, to a group of field technicians. The locations are to be grouped in order to dispatch the technicians. A program has been developed using K-Mean and Min-Max algorithm in VC++ to group the locations. To use the K-Mean algorithm, the clustering initialization has to be done by Max-Min algorithm. Master of Science (Computer Integrated Manufacturing) 2010-04-23T02:25:26Z 2010-04-23T02:25:26Z 2006 2006 Thesis http://hdl.handle.net/10356/36050 application/pdf |
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DRNTU::Engineering::Industrial engineering::Operations research Gurusamy Chithra Selvi. Application of clustering and scheduling techniques for technician dispatching |
description |
120 p. |
author2 |
Au Chi kit |
author_facet |
Au Chi kit Gurusamy Chithra Selvi. |
format |
Theses and Dissertations |
author |
Gurusamy Chithra Selvi. |
author_sort |
Gurusamy Chithra Selvi. |
title |
Application of clustering and scheduling techniques for technician dispatching |
title_short |
Application of clustering and scheduling techniques for technician dispatching |
title_full |
Application of clustering and scheduling techniques for technician dispatching |
title_fullStr |
Application of clustering and scheduling techniques for technician dispatching |
title_full_unstemmed |
Application of clustering and scheduling techniques for technician dispatching |
title_sort |
application of clustering and scheduling techniques for technician dispatching |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/36050 |
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1761781814337208320 |