2026-09-19T10:46:43Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1075132026-06-06T01:03:21Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Daniel Steeneck.
Nigam, Alankrita
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Supply Chain Management Program
2017-03-20T19:37:51Z
2017-03-20T19:37:51Z
2016
http://hdl.handle.net/1721.1/107513
962733587
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016.
"June 2016." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 56-57).
The unpredictable demand pattern during promotions leads to lost sales incurred due to frequent stock-outs, affecting the revenue and the brand of both the manufacturer and the retailer. The research focuses on finding out the root-causes of stock-outs in retail stores. It uses the audit response data that informs us of various states for zero on-shelf availability. These responses are used to create a fault-tree diagram that shows how different states could be reached. The root-causes mentioned in the fault-tree diagram are classified as either qualitative or quantitative root-causes. The credibility of quantitative root causes was established through regression analysis while store visits and interviews of different players of the supply chain helped to reason out the qualitative root-causes. Quantitative factors such as replenishment frequency, store sales volume and forecast accuracy seem to indicate a good correlation with stock-outs during promotions.
by Alankrita Nigam.
M.Eng. in Logistics
59 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
Supply Chain Management Program.
Engineering Systems Division.
Product promotion effectiveness : root causes of stock-outs
Thesis
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Publication
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<Abstract>The unpredictable demand pattern during promotions leads to lost sales incurred due to frequent stock-outs, affecting the revenue and the brand of both the manufacturer and the retailer. The research focuses on finding out the root-causes of stock-outs in retail stores. It uses the audit response data that informs us of various states for zero on-shelf availability. These responses are used to create a fault-tree diagram that shows how different states could be reached. The root-causes mentioned in the fault-tree diagram are classified as either qualitative or quantitative root-causes. The credibility of quantitative root causes was established through regression analysis while store visits and interviews of different players of the supply chain helped to reason out the qualitative root-causes. Quantitative factors such as replenishment frequency, store sales volume and forecast accuracy seem to indicate a good correlation with stock-outs during promotions.</Abstract>
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