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Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems

Manufacturing & Service Operations Management, 2020
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory problems? Academic/practical relevance: Given that DRL has successfully been applied in computer games and robotics, supply chain researchers and companies are ...
Joren Gijsbrechts   +3 more
semanticscholar   +1 more source

Inventory management, managerial competence and financial performance of small businesses

Journal of Accounting in Emerging Economies, 2020
PurposeThe purpose of this study is twofold (1) to establish the relationship between inventory management, managerial competence and financial performance and (2) to test whether inventory management mediates the relationship between managerial ...
L. Orobia   +3 more
semanticscholar   +1 more source

A Practical End-to-End Inventory Management Model with Deep Learning

Management Sciences, 2020
We investigate a data-driven multiperiod inventory replenishment problem with uncertain demand and vendor lead time (VLT) with accessibility to a large quantity of historical data.
Meng Qi   +6 more
semanticscholar   +1 more source

A discrete event simulation model for coordinating inventory management and material handling in hospitals

Annals of Operations Research, 2020
Inventory management of surgical instruments and material handling decisions of perioperative services are critical to hospitals’ and operating rooms’ (ORs) service levels and costs. However, efficiently coordinating these decisions is challenging due to
Amogh Bhosekar   +3 more
semanticscholar   +1 more source

Hybrid ordering policies for platelet inventory management under demand uncertainty

, 2020
Hospitals are imposed with the challenge of developing efficient blood inventory management tools due to its limited supply and uncertain demand. Besides, the short shelf-life of blood further complicates the task of its inventory administration.
S. Rajendran, S. Srinivas
semanticscholar   +1 more source

Dynamic Inventory Management with Inventory‐based Financing

Production and operations management, 2020
This study considers a stochastic inventory management problem where a capital‐constrained firm can obtain additional working capital through inventory‐based financing (IBF) by pledging its inventory to obtain loans from a lender. We show that the firm's
Ke Fu, Xiting Gong, V. Hsu, Jiye Xue
semanticscholar   +1 more source

Spare parts inventory management: a new hybrid approach

, 2020
PurposeThe purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry.
Leandro Muniz   +4 more
semanticscholar   +1 more source

Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature

Archives of Computational Methods in Engineering, 2023
Özge Albayrak Ünal   +2 more
semanticscholar   +1 more source

Inventory Management in Mass Customization Operations: A Review

IEEE transactions on engineering management, 2019
Mass customization (MC), as an operations program to satisfy target consumers by offering personalized products or services, has attracted substantial attention from both the industry and academia.
Shu Guo, T. Choi, Bin Shen, Sojin Jung
semanticscholar   +1 more source

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