Search Results - subject:"Inventory Optimization"

A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains

Kumar, Lalji; Khedlekar, Sudhakar; Khedlekar, Uttam Kumar - In: Supply chain analytics 8 (2024), pp. 1-16

Precise demand forecasting and agile pricing strategies are crucial in modern business. This study aims to enhance these strategies by evaluating the efficacy of Holt-Winters Exponential Smoothing (HWES) and Autoregressive Integrated Moving Average (ARIMA) models. The study assesses their...

Persistent link: https://www.econbiz.de/10015325094

An open innovative inventory management based demand forecasting approach for the steel industry

Sukolkit, Nonthaphat; Sirawadee Arunyanart; … - In: Journal of open innovation : technology, market, and … 10 (2024) 4, pp. 1-10

This research focuses on accurately forecasting steel wire mesh demand to ensure timely order fulfillment. Various univariate time series forecasting methods were employed, including Prophet, Support Vector Regression (SVR), 1-Dimensional Convolutional Neural Network (1D-CNN), Recurrent Neural...

Persistent link: https://www.econbiz.de/10015185080

Enhancing supply chain agility and sustainability through machine learning : optimization techniques for logistics and inventory management

Pasupuleti, Vikram; Thuraka, Bharadwaj; Kodete, Chandra … - In: Logistics 8 (2024) 3, pp. 1-16

Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more advanced approaches. Methods: This study leverages...

Persistent link: https://www.econbiz.de/10015081054

Exploring the Nexus of inventory optimization and operational efficiency: Data-driven insights from public sector organizations in Ethiopia

Debala, Gemachis; Bhat, Mohd Abass; Khan, Shagufta Tariq - In: Cogent Business & Management 10 (2023) 2, pp. 1-18

This study explores the link between inventory optimization and operational efficiency in public sector organizations … descriptive and inferential statistics. The results indicate a significant and positive correlation between Inventory Optimization … importance of inventory optimization in enhancing operational efficiency in public sector organizations in Ethiopia. This study …

Persistent link: https://www.econbiz.de/10014527320

Evolving hybrid deep neural network models for end-to-end inventory ordering decisions

Moraes, Thais de Castro; Qin, Jiancheng; Yuan, Xue-ming; … - In: Logistics 7 (2023) 4, pp. 1-18

Background: Over the past decade, the potential advantages of employing deep learning models and leveraging auxiliary data in data-driven end-to-end (E2E) frameworks to enhance inventory decision-making have gained recognition. However, current approaches predominantly rely on feed-forward...

Persistent link: https://www.econbiz.de/10014454535

Exploring the nexus of inventory optimization and operational efficiency : data-driven insights from public sector organizations in Ethiopia

Debala, Gemachis; Bhat, Mohd Abass; Tariq, Shagufta - In: Cogent business & management 10 (2023) 2, pp. 1-18

Persistent link: https://www.econbiz.de/10014503322

A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality

Tadayonrad, Yasin; Ndiaye, Alassane Ballé - In: Supply chain analytics 3 (2023), pp. 1-15

Forecasting demand and determining safety stocks are key aspects of supply chain planning. Demand forecasting involves predicting future demand for a product or service using historical data and other external and internal drivers. Stockouts and excess production can be reduced by accurately...

Persistent link: https://www.econbiz.de/10014516504

Inventory replenishment policies for two successive generations of technology products under permissible delay in payments

Nagpal, Gaurav; Chanda, Udayan; Seth, Himanshu; … - In: International journal of information systems and supply … 15 (2022) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10014296989