Facility location with economies of scale and congestion
dc.contributor.author | Lu, Da | |
dc.date.accessioned | 2010-09-01 18:25:02 (GMT) | |
dc.date.available | 2010-09-01 18:25:02 (GMT) | |
dc.date.issued | 2010-09-01T18:25:02Z | |
dc.date.submitted | 2010 | |
dc.identifier.uri | http://hdl.handle.net/10012/5469 | |
dc.description.abstract | Most literature on facility location assumes a fixed set-up cost and a linear variable cost. However, as production volume increases, cost savings are achieved through economies of scale, and then when production exceeds a certain capacity level, congestion occurs and costs start to increase significantly. This leads to an S-shaped cost function that makes the location-allocation decisions challenging. This thesis presents a nonlinear mixed integer programming formulation for the facility location problem with economies of scale and congestion and proposes a Lagrangian solution approach. Testing on a variety of functions and cost settings reveals the efficiency of the proposed approach in finding solutions that are within an average gap of 3.79% from optimal. | en |
dc.language.iso | en | en |
dc.publisher | University of Waterloo | en |
dc.title | Facility location with economies of scale and congestion | en |
dc.type | Master Thesis | en |
dc.pending | false | en |
dc.subject.program | Management Sciences | en |
uws-etd.degree.department | Management Sciences | en |
uws-etd.degree | Master of Applied Science | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Unreviewed | en |
uws.scholarLevel | Graduate | en |