Inventory Model with Stochastic Demand Using Single-Period Inventory Model and Gaussian Process
Proper inventory management is vital to achieving sustainability within a supply chain and is also related to a company’s cash flow through the funds represented by the inventory. Therefore, it is necessary to balance excess inventory and insufficient inventory. However, this can be difficult to...
Uloženo v:
Hlavní autor: | Mejia, Jose |
---|---|
Další autoři: | Avelar, Liliana, Mederos, Boris, García-Alcaraz, Jorge Luis |
Médium: | Artículo |
Jazyk: | English |
Vydáno: |
2022
|
Témata: | |
On-line přístup: | https://doi.org/10.3390/pr10040783 https://doi.org/10.3390/pr10040783 |
Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|
Podobné jednotky
-
Inventory management for products with a sale single period and stochastic demand using Machine Learning models: 4CP22-16
Autor: Sergio Joaquín González Herrera, a další
Vydáno: (2022) -
Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit
Autor: Avelar, Liliana
Vydáno: (2024) -
Robust weighted Gaussian processes
Autor: Mederos, Boris
Vydáno: (2020) -
Prediction of time series using wavelet Gaussian process for wireless sensor networks
Autor: Mejia, Jose
Vydáno: (2020) -
Single-input, multiple-output iterative algorithm for the volume, area, elevation, and shape calculation using 3D topobathymetric models
Autor: Rojas Villalobos, Hugo Luis
Vydáno: (2020)