2026-09-20T17:14:46Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1329062026-06-06T00:56:30Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen Graves.
Babu, Keval
(Keval Vipul)
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2021-10-08T17:11:09Z
2021-10-08T17:11:09Z
2018
2018
https://hdl.handle.net/1721.1/132906
1263579473
Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, September, 2018
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 57-58).
Drinkworks 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.
by Keval Babu.
M.Eng. in Advanced Manufacturing and Design
M.Eng.inAdvancedManufacturingandDesign Massachusetts Institute of Technology, Department of Mechanical Engineering
58 pages
eng
Massachusetts Institute of Technology
MIT 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.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
New product forecasting of appliance and consumables : bass model
Thesis
application/pdf
2021-10-08T17:11:08Z
Publication
Master
MechE
unknown
unknown
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<Abstract>Drinkworks 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.</Abstract>
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