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ORDER-PROMISING AND PRODUCTION-PLANNING METHODS FOR SAWMILLS

dc.contributor.advisor
dc.contributor.authorIslam, Md Shariful
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Industrial Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerDr. Peter Gregsonen_US
dc.contributor.graduate-coordinatorDr. Alireza Ghasemien_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Corinne A. MacDonalden_US
dc.contributor.thesis-supervisorDr. Eldon Gunnen_US
dc.date.accessioned2013-12-18T13:54:03Z
dc.date.available2013-12-18T13:54:03Z
dc.date.defence2013-12-02
dc.date.issued2013-12-18
dc.description.abstractThis thesis focuses on the development of order-promising and production-planning methodologies for sawmills. Two types of demands are considered: contract and spot demands. Contract demands are those known commitments to be filled over a period of time, whereas spot demands are collected from the market for the current week, two, and three weeks prior to the delivery date. Campaigns are developed that describe how the various classes of logs will be processed under a given price list. The campaign produces lumber outputs that represent the proportions the sawmill optimizers would produce given this price list. An MIP model, which includes order promising and campaign production planning, is formulated to maximize revenue over a planning horizon. A new solution technique is introduced to simulate the effectiveness of the rolling planning horizon over the full year. The effectiveness of the solution techniques is studied using different scenarios.en_US
dc.identifier.urihttp://hdl.handle.net/10222/42713
dc.language.isoenen_US
dc.titleORDER-PROMISING AND PRODUCTION-PLANNING METHODS FOR SAWMILLSen_US

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