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

• 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

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...