Information inaccuracy in inventory systems¶
Kang, & Gershwin. (2005). Information inaccuracy in inventory systems: stock loss and stockout. IIE Transactions.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Phantom Inventory
- Retailers counter this with cycle counting (periodically recounting a rotating subset of SKUs), RFID tagging for continuous reconciliation, and algorithms that flag SKUs with positive recorded stock but zero sales over an unexpectedly long window
This sourceStudy showing undetected stock loss disrupts replenishment and creates out-of-stocks, and evaluating automatic identification and other methods of compensating for inventory inaccuracy.
Supported in partVerified against the publisher's abstract
“In this paper, analytical and simulation modelling demonstrate that even a small rate of stock loss undetected by the information system can lead to inventory inaccuracy that disrupts the replenishment process and creates severe out-of-stock situations.”
- Retailers counter this with cycle counting (periodically recounting a rotating subset of SKUs), RFID tagging for continuous reconciliation, and algorithms that flag SKUs with positive recorded stock but zero sales over an unexpectedly long window
Verification¶
Does it exist? Not checked yet. This work's DOI is recorded above but has not been resolved against an external catalogue, so nothing here confirms the work exists.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:cb920e3a0299 · see in the full table