Search Results - subject:"inventory optimization"

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

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

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

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

Marketing effort within the newsvendor problem framework : a systematic review and extensions of demand-effort and cost-effort formulations

Hrabec, Dušan; Kučera, Jiří; Martinek, Pavel - In: International journal of production economics 257 (2023), pp. 1-10

Persistent link: https://www.econbiz.de/10014249595

A deep Q-network for the beer game : deep reinforcement learning for inventory optimization

Oroojlooyjadid, Afshin; Nazari, Mohammadreza; Snyder, … - In: Manufacturing & service operations management : M & SOM 24 (2022) 1, pp. 285-304

Persistent link: https://www.econbiz.de/10012818363

Optimal operational service levels in vendor managed inventory contracts : an exact approach

Abbasi, Babak; Bruzda, Joanna; Gavirneni, Nagesh - In: Operations research letters 50 (2022) 5, pp. 610-617

Persistent link: https://www.econbiz.de/10013449455

Prescriptive analytics for inventory management in health care

Galli, Leonardo; Levato, Tommaso; Schoen, Fabio; Tigli, Luca - In: Journal of the Operational Research Society 72 (2021) 10, pp. 2211-2224

Persistent link: https://www.econbiz.de/10012653151