A Lagrangian Heuristic for a Variant of Capacitated Facility Location with Single Source Constarints
buir.advisor | Oğuz, Osman | |
dc.contributor.author | Ayrım, Yusuf Ziya | |
dc.date.accessioned | 2016-07-01T11:08:09Z | |
dc.date.available | 2016-07-01T11:08:09Z | |
dc.date.issued | 2006 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description.abstract | Facility location problems (FLP) are extensively studied in the literature in the context of supply chain management. Wide variety of real life situations are analyzed and modeled using techniques developed for FLP. In this thesis we take a comparably new model, Capacitated Facility Location with Single Source constraints (CFLPSS) from the literature and add an additional feature of Minimum Supply (MM) requirements (CFLPSSMM). Then we devise a Lagrangian Heuristic, which is highly efficient for CFLPSS models and for this new variant of CFLPSS. This heuristic, which is modified from the heuristics devised for CFLPSS, is then tested both on data from the literature and on new data set. Results indicate that it can be a resourceful alternative; especially the lower bounds provided by the heuristic are quite effective both for CFLPSS and CFLPSSMM. | en_US |
dc.description.provenance | Made available in DSpace on 2016-07-01T11:08:09Z (GMT). No. of bitstreams: 1 0003178.pdf: 625808 bytes, checksum: dc1642687314fc58bdc94d3599569143 (MD5) Previous issue date: 2006 | en |
dc.description.statementofresponsibility | Ayrım, Yusuf Ziya | en_US |
dc.format.extent | xi, 88 leaves, tables | en_US |
dc.identifier.itemid | BILKUTUPB100090 | |
dc.identifier.uri | http://hdl.handle.net/11693/29887 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | CFLP | en_US |
dc.subject | Lagrangian Heuristic | en_US |
dc.subject.lcc | QA402.5 .A98 2006 | en_US |
dc.subject.lcsh | Lagrangian functions. | en_US |
dc.title | A Lagrangian Heuristic for a Variant of Capacitated Facility Location with Single Source Constarints | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Industrial Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 0003178.pdf
- Size:
- 611.14 KB
- Format:
- Adobe Portable Document Format
- Description:
- Full printable version