Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Lee, Chi-kit Curie | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/1775 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Mathematical modelling for services scheduling | en_US |
| dcterms.abstract | Services Scheduling could be very crucial in many industries as manufacturers have to provide effective after-sales services. In this paper, I will formulate the problem of the technician scheduling as different mathematical models. In the first part, I will formulate a basic model and solve the problem with a simple algorithm. In the second past, I will formulate the model again as a multiple travelling salesman problem (MTSP) and solve it with a modified Branch and Bound method. The results of the first two models will be computed and comparison will be given. The results show that both models give same results and the MTSP model with the modified Branch and Bound works faster and it is also practical to work on the exact algorithm due to the advanced computational tools (powerful computer hardware and software development). Lastly, formulation of the problem as a Vehicle Routing Problem (VRP) and solve it by Lagrangian optimization and other models are also discussed. | en_US |
| dcterms.extent | 132 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1999 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Production scheduling -- Mathematical models | en_US |
| dcterms.LCSH | Traveling-salesman problem | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14799212.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.08 MB | Adobe PDF | View/Open |
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