Results 11 to 20 of about 17,730,527 (305)
Deep Controlled Learning for Inventory Control [PDF]
The application of Deep Reinforcement Learning (DRL) to inventory management is an emerging field. However, traditional DRL algorithms, originally developed for diverse domains such as game-playing and robotics, may not be well-suited for the specific challenges posed by inventory management.
Tarkan Temizöz +4 more
openaire +5 more sources
Deep reinforcement learning for inventory control: A roadmap
Deep reinforcement learning (DRL) has shown great potential for sequential decision-making, including early developments in inventory control. Yet, the abundance of choices that come with designing a DRL algorithm, combined with the intense computational
R. Boute +3 more
semanticscholar +1 more source
In modern business today, organizations that hold large numbers of inventory items, do not find it economical to make policies for the management of individual inventory items.
Omid Abdolazimi +4 more
semanticscholar +1 more source
Article history: Received September 2, 2020 Received in revised format October 18, 2020 Accepted November 14 2020 Available online November 14 2020 The organizational performance at public hospitals differs from the corporate sector and faces ...
A. Hashmi +3 more
semanticscholar +1 more source
Demand Forecasting Tool For Inventory Control Smart Systems
—With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems.
Fatima-Zohra Benhamida +5 more
semanticscholar +1 more source
The decisions made by the management in recording the amount of selling inventory in the year before the real year are as important as determining and defining the economic order size in the inventory management system.
E. Ahmed +3 more
semanticscholar +1 more source
Preservation of a product is an important issue in the inventory control system. It prevents the deterioration effect of the products while these are stored in the warehouse/showroom.
S. Das +4 more
semanticscholar +1 more source
Inventory control has been a major point of discussion in industrial engineering and operations research for over 100 years. Various advanced numerical methods can be used for solving inventory control problems, which makes it a highly multidisciplinary ...
I. Jackson +2 more
semanticscholar +1 more source
Inventory procurement raises other costs, ordering costs, compensation costs, maintenance costs, warehouse rental costs, and damage costs. Therefore, proper inventory management is needed to avoid increasing inventory costs and maximizing UKM (Small and ...
Abdurrahman Ahmad, Badrus Sholeh
doaj +1 more source
Adaptive Inventory Control Based on Fuzzy Neural Network under Uncertain Environment
In order to achieve the actual inventory effectively tracking the target inventory under uncertain environment, this paper investigates an adaptive inventory controller for the production-inventory system.
Jianqiao Ge, Songtao Zhang
semanticscholar +1 more source

