Show simple item record

dc.contributor.advisorStephen Graves.
dc.contributor.authorBabu, Keval (Keval Vipul)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2021-10-08T17:11:09Z
dc.date.available2021-10-08T17:11:09Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/132906
dc.descriptionThesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, September, 2018en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 57-58).en_US
dc.description.abstractDrinkworks is a joint venture between Anheuser-Busch and Keurig Green Mountain Inc. that has been formed to develop and launch a one-of-a-kind in-home alcohol drink system. One of the major challenges faced by Drinkworks before launching their new product was to predict its demand throughout the different stages of the product life-cycle. Being an emerging organization, Drinkworks needed a systematic demand planning tool to generate baseline strategic and operational forecasts of their new product. These baseline forecasts would be further used as a starting point for sales and operations planning, production planning and material resource planning. This thesis project focuses on selecting appropriate mathematical models to forecast demand of a new product throughout its life-cycle. This thesis concentrates on the use of Bass model to forecast the demand for Drinkworks' appliance in the initial launch phase with minimal market knowledge. Moreover, this thesis also explains the methodology to forecast pod consumption using the average consumption rate per appliance, cumulative appliances sold to the retailers, cluster analysis, and appliance forecast.en_US
dc.description.statementofresponsibilityby Keval Babu.en_US
dc.format.extent58 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleNew product forecasting of appliance and consumables : bass modelen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Advanced Manufacturing and Designen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1263579473en_US
dc.description.collectionM.Eng.inAdvancedManufacturingandDesign Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2021-10-08T17:11:08Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMechEen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record