A data mining approach for inventory forecasting: A case study of a medical store

BR Hussein, A Kasem, S Omar, NZ Siau - Computational Intelligence in …, 2019 - Springer
One of the factors that often result in an unforeseen shortage or expiry of medication is the
absence of, or continued use of ineffective, inventory forecasting mechanisms. Unforeseen …

[PDF][PDF] Optimal health care inventory management using analytics

NAPPA Paralikar, D Pati - … , Data Warehouse, Data Mining and Big …, 2015 - researchgate.net
Inventory Management is an important issue for health-care systems because it influences
clinical and financial decisions. Before selecting, adapting and implementing a process for …

Joint prediction of time series data in inventory management

Q Zhou, R Han, T Li, B Xia - Knowledge and Information Systems, 2019 - Springer
The problem of time series prediction has been well explored in the community of data
mining. However, little research attention has been paid to the case of predicting the …

Demand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methods

CMF Alves - 2018 - search.proquest.com
The inventory management is a key component of the hospital logistics, making sure that
medicines as well as all medical supplies get to the patient within the appropriate time …

[HTML][HTML] Forecasting model: the case of the pharmaceutical retail

A Burinskiene - Frontiers in Medicine, 2022 - frontiersin.org
Introduction Many forecasting methods are used to predict sales, such as the moving
average method, naive method, exponential smoothing methods, Holt's linear method, and …

A Comparison of Statistical and Machine Learning Approaches for Time Series Forecasting in a Demand Management Scenario

A Pfeifer, H Brand, V Lohweg - 2023 IEEE 21st International …, 2023 - ieeexplore.ieee.org
The increasing size and complexity of datasets, the need for constant adaptation to current
conditions, and the potential benefits of machine learning (ML) techniques, such as flexibility …

Health products sales forecasting using computational intelligence and adaptive neuro fuzzy inference systems

DE Koulouriotis, G Mantas - Operational Research, 2012 - Springer
In our days the importance of reducing the inventory level in a healthcare organization is
increasing fast. As a result, the value of an accurate supply forecast is becoming more …

[PDF][PDF] A Machine Learning Approach to Predict Drug Stock Based on Consumption Patterns for Dispensary Management System.

K Sujatha, Y Alekhya - International Journal of Early Childhood Special …, 2022 - diet.edu.in
Today's global business trends are causing a significant and complex data revolution in the
healthcare industry, culminating in the use of artificial intelligence and predictive modeling to …

A study of models for forecasting e-commerce sales during a price war in the medical product industry

PH Hsieh - HCI in Business, Government and Organizations …, 2019 - Springer
When faced with a price war, the accuracy of forecasting sales in e-commerce greatly
influences an enterprise's or a retailer's merchandise inventory strategies. When faced with …

[PDF][PDF] Application of data mining techniques in drug consumption forecasting to help pharmaceutical industry production planning

R Ghousi, S Mehrani, M Momeni… - Proceedings of the …, 2012 - ieomsociety.org
No doubt that production planning and inventory control in an erratic and dynamic drug
consumption environment would be considered as a fundamental need of pharmaceutical …