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dc.contributor.advisorChristopher Caplice.en_US
dc.contributor.authorTay, Ee Learn, 1968-en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2005-09-26T20:58:04Z
dc.date.available2005-09-26T20:58:04Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28515
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2004.en_US
dc.descriptionIncludes bibliographical references (leaves 77-79).en_US
dc.description.abstractOne of the biggest challenges facing Original Equipment Manufacturers (OEMs) and Electronic Manufacturing Services (EMS) providers in the telecommunication networking industry is to predict the spending patterns of the telecommunication service providers due to uncertainties in the economy, intense competition, short product life cycle in the industry and many other factors. While studies over the years have focused on optimizing the expected profits by minimizing the risk of excess inventory, companies are also unwilling to forgo profits on unmet demand. This is especially so in a market that is worth well over $100 billion even during the economic downturn. Including the cost of damaged relationships and future market opportunities, the cost of lost sales can be very significant the increasingly competitive market. This thesis explores the use of real options to enable a telecommunication networking company to structure their supply chain so as to better exploit the upside opportunitiesen_US
dc.description.abstractwhen actual customer demand significantly exceed forecasted demand and actual demand can only be confirmed when the delivery lead-time is less than the normal supply lead-time. The thesis sets forth a framework for developing real options analysis and evaluated three approaches against the current supply contract between the OEM and EMS provider. Recommendations that will allow the company to improve their profits in the event of surged demand were then made. The main finding of the thesis is that in times of increased demand, the real options approaches studied all generated higher value for the company than simply relying on demand forecasting. However, beside projected demand, companies considering using real options must consider a number of parameters time. The thesis sets forth a framework for developing real options analysis and evaluated three approaches against the current supply contract between the OEM and EMS provider. Recommendations that will allow the company toen_US
dc.description.abstract(cont.) including the option price, strike price, cost of lost sales and salvage value of the product concerned. In the case of the company concerned in the study, it is recommended that they establish a safety stock option with their EMS provider.en_US
dc.description.abstractimprove their profits in the event of surged demand were then made. The main finding of the thesis is that in times of increased demand, the real options approaches studied all generated higher value for the company than simply relying on demand forecasting. However, beside projected demand, companies considering using real options must consider a number of parametersen_US
dc.description.statementofresponsibilityby Ee Learn Tay.en_US
dc.format.extent79 leavesen_US
dc.format.extent4809660 bytes
dc.format.extent4817990 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_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/1721.1/7582
dc.subjectEngineering Systems Division.en_US
dc.titleA real options approach to manage flexible contracts in the telecommunication networking industryen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc57345555en_US


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