Show simple item record

dc.contributor.advisorDavid Simchi-Levi and Stephen Graves.en_US
dc.contributor.authorSutterer, Lucas B. (Lucas Benjamin)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2010-10-12T18:08:47Z
dc.date.available2010-10-12T18:08:47Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/59186
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 60).en_US
dc.description.abstractCompanies in every industry, including both manufacturers and service providers, must make decisions about their operational footprint -the amount of building space required for business needs such as storing inventory and equipment and providing work areas for employees. Changes to the existing footprint often involve buying, building, expanding, leasing or selling facilities. These are long lead time decisions, making it critical to accurately forecast these needs far in advance. The problem is that many companies do not know what facility footprint requirements will be years from now. This thesis addresses the problem by investigating factors that drive space requirements and estimating trends, resulting in a five year space forecast. An approach is provided for quantifying a proactive outlook, thereby enabling more confident decisions regarding the operational footprint of the future. The thesis addresses how to adapt the forecast to create a valuable instrument that enables analysis of changing conditions and assumptions in a dynamic environment. -This provides the ability to easily and intuitively compare the outcome of multiple changes with one another. It also displays the capacity to perform analysis of complex multivariable scenarios. We explore in this thesis approaches for reducing facility size required to store inventory. These approaches include consolidation of warehouses, utilization of high bay storage and the identification and elimination of aging inventory. This research was conducted at Raytheon Company, a US-based defense contractor, with a focus on predicting warehouse space required to store inventory to support their manufacturing operations. However, these concepts apply to any situation where costly investments must be made to enable capacity to meet demand. This includes expansion or contraction of manufacturing plants, retail stores and office buildings. A proactive approach enables more insightful decisions about capital investment, construction plans and lease terms.en_US
dc.description.statementofresponsibilityby Lucas B. Sutterer.en_US
dc.format.extent62 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleDevelopment of a tool for forecasting a warehouse facility footprint and enabling rapid scenario analysisen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc659830218en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record