Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/19364
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kumar, U Dinesh | |
dc.contributor.author | Anand, J Joshua | |
dc.contributor.author | Siddhartha, V | |
dc.date.accessioned | 2021-06-08T12:08:47Z | - |
dc.date.available | 2021-06-08T12:08:47Z | - |
dc.date.issued | 2018 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/19364 | - |
dc.description.abstract | Over the years, spare parts forecasting has been a daunting challenge across all industries. The major reason for the difficulty in forecasting is due to the random nature of spare parts demand. Moreover, depending on the industry, criticality of spare parts also differs. For example, in an aircraft industry spare parts are extremely critical both from quality and service level perspective | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P18_141 | |
dc.subject | Spare parts | |
dc.subject | Aircraft industry | |
dc.title | Demand surge and outlier detection of spare parts | |
dc.type | CCS Project Report-PGP | |
dc.pages | 27p. | |
Appears in Collections: | 2018 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P18_141.pdf | 744.25 kB | Adobe PDF | View/Open Request a copy |
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