Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study

CF Chien, CC Ku, YY Lu - Computers & Industrial Engineering, 2023 - Elsevier
Demand forecast for spare parts in supply chains is essential for ensuring customer
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand

JM Rožanec, B Fortuna, D Mladenić - Sustainability, 2022 - mdpi.com
Demand forecasting is a crucial component of demand management. While shortening the
forecasting horizon allows for more recent data and less uncertainty, this frequently means …

[PDF][PDF] Automobile spare-parts forecasting: A comparative study of time series methods

CAG Vargas, ME Cortés - International Journal of Automotive …, 2017 - journal.ump.edu.my
In Mexico, the automotive industry is considered to be strategic in the industrial and
economic development of the country because it generates production, employment and …

Explainable demand forecasting: A data mining goldmine

JM Rozanec - Companion Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Demand forecasting is a crucial component of demand management. Value is provided to
the organization through accurate forecasts and insights into the reasons driving the …

[PDF][PDF] Models for predicting perishable products demands in food trading companies

RP Llanes, HV Sala, AO García - Revista Cubana de Ciencias …, 2020 - redalyc.org
Determining the demands for products and services is an issue of interest to the
international scientific community and represents an effective tool to raise the economic …

Analysis on machine learning algorithms and neural networks for demand forecasting of anti-aircraft missile spare parts

N Pawar, B Tiple - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Now-a-days demand forecasting is used in many countries for military applications such as
spare parts of aircraft and for improving budget efficiency. In supply chain management …

Performance measurement system for automotive spare parts supply chain: a categorization approach

Z Achetoui, C Mabrouki, A Mousrij - Journal of Transportation and …, 2019 - dergipark.org.tr
This article provides a categorization approach that encompasses the required categories
and sub-categories for the performance measurement of automotive spare parts supply …

Peramalan Tingkat Penghunian Kamar (TPK) pada Hotel Berbintang di Banyuwangi dengan Metode Naive dan Decomposition

RN Darmawan, JCA Wijaya… - G-Tech: Jurnal …, 2024 - ejournal.uniramalang.ac.id
Salah satu faktor perencanaan manajerial yang penting dalam industri pariwisata dan
hospitality adalah peramalan data berdasarkan data masa lampau. Penelitian ini bertujuan …

Study on demand forecasting techniques for drugs with sporadic demand in a community hospital

N Thaiudomsap, N Sribundit - Science, Engineering and Health …, 2022 - li01.tci-thaijo.org
This research studied the appropriate forecasting techniques for drugs with sporadic
demand, consisting of intermittent and lumpy demands. The actual consumption of 41 drugs …

[PDF][PDF] An Analysis of Spare parts Demand Forecasting Case Study: PT. Riung Mitra Lestari, Indonesia

K Nadiyah - OISAA Journal of Indonesia Emas, 2019 - academia.edu
Abstract PT Riung Mitra Lestari is one of the new mining contractor company in Indonesia
founded in 2006. It is identified that Riung creates (monthly) demand forecasting for …