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Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels

In recent years, inventory has been critical due to the production cost and overstock risk related to the expiration date and the fluctuation price risk. This study's minimization of overstock and price fluctuation in the warehouse used a hybridized artificial neural network (ANN) and analytica...

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Bibliographic Details
Main Authors: Edy, Fradinata, Noor, M. M., Zurnila Marli, Kesuma, Sakesun, Suthummanon, Didi, Asmadi
Format: Article
Language:English
Published: Ijain 2024
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/41317/1/Leveraging%20hybrid%20ANN%E2%80%93AHP%20to%20optimize%20cement%20industry%20average%20inventory%20levels.pdf
http://umpir.ump.edu.my/id/eprint/41317/
https://doi.org/10.26555/ijain.v10i1.631
https://doi.org/10.26555/ijain.v10i1.631
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http://umpir.ump.edu.my/id/eprint/41317/1/Leveraging%20hybrid%20ANN%E2%80%93AHP%20to%20optimize%20cement%20industry%20average%20inventory%20levels.pdf
http://umpir.ump.edu.my/id/eprint/41317/
https://doi.org/10.26555/ijain.v10i1.631
https://doi.org/10.26555/ijain.v10i1.631

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