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dc.contributor.advisorDeborah Nightingale and Jonathan Byrnes.en_US
dc.contributor.authorMcIntosh, Timothy, Jr. (Timothy P.)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2011-09-27T18:37:56Z
dc.date.available2011-09-27T18:37:56Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/66058
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; in conjunction with the Leaders for Global Operations Program at MIT, 2011.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 67).en_US
dc.description.abstractThis project presents improvements to the business process used to generate the Sikorsky five-year production scheduling plan that is a central coordinating process for company operations. Recommendations will improve the speed and quality of the planning process. The current production planning method leaves Sikorsky at risk of reserving too little capacity to satisfy demand for its most important customers. Additionally, the current method can lead to overproduction of rotorcraft. Both scenarios are very costly to Sikorsky. In the absence of a more data-driven planning approach, shortcomings of the current planning method will only be exacerbated as Sikorsky continues to pursue new customers in emerging markets. Sikorsky may struggle to continue applying judgment-based planning methods to a customer base for which there is little historical information. To investigate the problem, we used interviews, surveys, and lean techniques to study the current state of the five-year planning process. As part of the solution, we developed and applied statistical demand forecasting methods and a more formal process definition. We documented and communicated the new planning process using standard work templates and instructions. New methods were disseminated to stakeholders through a variety of showcase exercises that featured demonstrations and hands-on exercises. In general, Sikorsky production planning stakeholders were receptive to a more formal and datadriven planning process. We expect that the new methods will enable an overall planning process time of two weeks, compared to current process time of several months. Furthermore, the new methods improve forecasting accuracy by integrating and synthesizing previously unused forward-looking sales and marketing data. Going forward, a small pilot team will continue to apply and improve new planning methods. The team will engage in a preliminary pilot exercise during an upcoming revision to the five-year plan, which will occur in early 2011.en_US
dc.description.statementofresponsibilityby Timothy McIntosh.en_US
dc.format.extent67 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.subjectAeronautics and Astronautics.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleA process for improving long-term production planningen_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 Aeronautics and Astronautics
dc.contributor.departmentSloan School of Management
dc.identifier.oclc753562512en_US


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