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IoT-Cloud Based System for Warehouse Management: A Conceptual Framework
Faculty
Engineering
Year:
2025
Type of Publication:
ZU Hosted
Pages:
1-6
Authors:
Noha Ahmed Ali Mostafa
Staff Zu Site
Abstract In Staff Site
Journal:
International Symposium on Innovative Approaches in Smart Technologies IEEE Xplore
Volume:
Keywords :
IoT-Cloud Based System , Warehouse Management: , Conceptual
Abstract:
Warehouses consider as an important linking between production and final clients. Improving effectiveness, inside these facilities, will help increase of supply chain’s performance. Given the massive volume of data that need to be handled in real time, IoT and cloud computing platforms are essential in today’s warehouses. This paper proposes an IoT-Cloud based system that simplifies the streaming of information for all the processes within warehouses, from receiving to transportation. The system was realized using the interaction between Node RED, MongoDB cloud and Python environment. An illustration of the proposed system was provided by the display of the different implemented nodes in Node RED. A dynamic workspace in which different actors and objects interact with each other should be provided by the system. Future work will be dedicated to the implementation of the suggested model for the experimental data.
Author Related Publications
Noha Ahmed Ali Mostafa, "OnTimeCargo: A Smart Transportation System Development in Logistics Management by a Design Thinking Approach", AIS Electronic Library (AISeL), 2016
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Noha Ahmed Ali Mostafa, "A generic mathematical model to optimize production and distribution decisions in supply chains", Zagazig University, 2016
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Noha Ahmed Ali Mostafa, "Solving the Heterogeneous Capacitated Vehicle Routing Problem using K-Means Clustering and Valid Inequalities", IEOM Society, 2018
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Noha Ahmed Ali Mostafa, "Promoting organizational sustainability and innovation: An exploratory case study from the Egyptian chemical industry", Elsevier, 2018
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Noha Ahmed Ali Mostafa, "Towards Patient -oriented Design: A Case of the Egyptian Private Outpatient Clinics", Hawaii International Conference on System Sciences, 2017
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Department Related Publications
Sarah Atif Abdulaziz Ali , "A Comparative Study Using Deep Learning and Support Vector Regression for Electricity Price Forecasting in Smart Grids", IEEE, 2019
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Mostafa Abdelsalam Musstafa, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022
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Rafat Hessien Elsayed Elshaer, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022
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Noha Ahmed Ali Mostafa, "Artificial intelligence in achieving net zero", Elsevier, 2025
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Ahmed Mohamed Elsayed Abdelwahab Abied, "Reduce the delivery time and relevant costs in a chaotic requests system via lean-Heijunka model to enhance the logistic Hamiltonian route", ELSEVIER, 2024
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