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Titlebook: Operations Management and Systems Engineering; Select Proceedings o Anish Sachdeva,Pradeep Kumar,Om Prakash Yadav Conference proceedings 20

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41#
發(fā)表于 2025-3-28 16:26:18 | 只看該作者
Modelling, Simulation and Optimization of Product Flow in a Multi-products Manufacturing Unit: A Ca for the production process. Manufacturing simulation, digital engineering tools and procedures have a positive impact on the manufacturing industry. Simulation models have been extensively used in manufacturing to enhance the design, planning and productivity of the processes. In manufacturing envi
42#
發(fā)表于 2025-3-28 21:32:43 | 只看該作者
43#
發(fā)表于 2025-3-29 02:38:44 | 只看該作者
Significance of Electronic Waste Management for Sustainable Industrial Production,being used to manage e-waste in some developed countries. Several tools like Material Life Cycle Assessment (LCA), Extended Producer Responsibility (EPR), Multi-Criteria Analysis (MCA), and Flow Analysis (MFA) are being used for the management of e-waste in developed countries. Multiple tools workin
44#
發(fā)表于 2025-3-29 03:53:14 | 只看該作者
45#
發(fā)表于 2025-3-29 10:56:18 | 只看該作者
Pradeep K. Singh,Vaibhav Gulati data traffic, which inherently brings along an increase of the energy consumed by mobile nodes to support it. The non-real-time nature of an important share of that traffic makes it possible to use opportunistic networking mechanisms in cellular networks that can exploit the traffic’s delay-toleran
46#
發(fā)表于 2025-3-29 14:14:17 | 只看該作者
Anish Sachdeva,Surjit Kumar Gandhin place by Internet Service Providers (ISPs). These include lack of proper privileges and restrictive routing policies that prevent the overlay services from being deployed easily. The evolution of Software Defined Networks (SDNs), however, helps to address these concerns by simplifying the mechanis
47#
發(fā)表于 2025-3-29 15:57:28 | 只看該作者
48#
發(fā)表于 2025-3-29 21:58:10 | 只看該作者
49#
發(fā)表于 2025-3-30 03:11:27 | 只看該作者
50#
發(fā)表于 2025-3-30 05:13:11 | 只看該作者
Keshav Valase,D. N. Rautin order to devise the “digital twin” of a physical equipment. The heterogeneity of hardware sensors, communication protocols and data formats constitutes one of the main challenge toward the large-scale adoption of the Internet of Things (IoT) paradigm on industrial environments. To this purpose, t
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