Predictive analytics for fast moving item using nonlinear regresssion models

A supply chain and logistics company are trying to realign their stock placement in the warehouse based on the type of movement of the stock keeping units (SKU), fast moving or slow moving. This project is executed to construct a nonlinear regression models for order frequency per month of fast movi...

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Bibliographic Details
Main Author: Mohd. Azhar, Nur Arisha
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/96404/1/NurArishaMSC2021.pdf.pdf
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