Inventory management model based on a stock control system and a kraljic matrix to reduce raw materials inventory
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Chancasanampa-Mandujano, JeseniaEspinoza-Poblete, Karla
Sotelo-Raffo, Juan
Alvarez, Jose Maria
Raymundo-Ibañez, Carlos
Issue Date
2019-09-27
Metadata
Show full item recordPublisher
Association for Computing MachineryJournal
ACM International Conference Proceeding SeriesDOI
10.1145/3364335.3364382Additional Links
https://dl.acm.org/doi/10.1145/3364335.3364382Abstract
This research project proposes a supply management model in a consumer goods company in Lima, Peru, to improve stock control and avoid raw materials stockouts and overstock. A Kraljic matrix was used to identify products based on their criticality considering material segmentation, warehouse capacity and times, and ABC segmentation to classify products on each quadrant of the matrix. This project also focuses on defining purchasing and supply strategies in each quadrant of the matrix. This model involves the development of three processes that are related to a new purchasing strategy: economic order quantity, lot-for-lot ordering, and just in time. This new system is based on a more accurate inventory because continuous improvement attracts employees’ attention and engages them in reducing the number of manual notifications made by operators every month. Moreover, after implementing the new procedure for recording inventories, the inventory record was 87% accurate, whereas, in the past, the inventory was not counted and was performed by employees of other areas.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/embargoedAccessLanguage
engDescription
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.ae974a485f413a2113503eed53cd6c53
10.1145/3364335.3364382
Scopus Count
Collections