Room 2605, East Daming Road 1050, Hongkou District, Shanghai
zkchina@zkconsultinggroup.com
+86 021-60715651 / 156 5187 9931 Ms. Zhang
In the Industry 4.0 era, ZK Consulting provides insights into the related industries of intelligent manufacturing, supporting clients in redefining their value creation systems, discovering market opportunities driven by technology implementation, and pinpointing future technology trend shifts. ZK deeply examines every aspect of the manufacturing process, analyzing the fusion of information technology and advanced manufacturing, empowering businesses for innovative growth.
Integrate intelligent equipment such as robots, high-end machine tools, human-machine interaction devices, and apply technologies such as AR/VR and machine vision to achieve efficient production organization and job collaboration.
Develop a carbon asset management platform that integrates technologies such as intelligent sensing, big data, and blockchain to achieve full process carbon emission tracking, analysis, accounting, and trading.
Apply technologies such as big data and deep learning to achieve accurate analysis, judgment, and prediction of future market supply and demand trends, influencing factors, and their changing patterns.
Integrate intelligent warehousing (storage and transportation) equipment, build a warehousing management system (WMS), apply technologies such as barcode, radio frequency identification, and intelligent sensing, and achieve automatic material warehousing (incoming), inventory, and outbound (outgoing) based on actual production operation plans.
Applying Warehouse Management System (WMS) and intelligent logistics equipment, integrating technologies such as visual/laser navigation, indoor positioning, and machine learning to achieve dynamic scheduling, automatic delivery, and path optimization.
Intelligent maintenance management construction equipment management system, application of big data and AR/VR technologies, optimization of maintenance plans and resource allocation, verification of virtual maintenance plans, and skill training.
Establish enterprise asset management system (EAM) and apply technologies such as Internet of Things, big data and machine learning to realize the full life cycle management of asset operation, repair and maintenance, transformation and retirement.
Establish a manufacturing capacity trading platform, promote supply and demand docking, and export surplus manufacturing capacity through various modes such as renting instead of buying, time-sharing leasing, and piece by piece billing, promoting the optimal allocation of manufacturing resources within the industry.
Based on a network collaboration platform, we promote the close connection of design, production, management, service and other links between enterprises, and achieve parallel collaboration between network-based manufacturing resource allocation and production business.
By applying technologies such as modeling, simulation, and multi model fusion, we aim to construct digital twin systems at different levels such as equipment, production lines, workshops, and factories, achieving real-time mapping between the physical world and virtual space, and promoting comprehensive improvement in perception, analysis, prediction, and control capabilities.
車(chē)間/工(gōng)廠數字化設計。應用工(gōng)廠三維設計與仿真軟件，集成工(gōng)廠信息模型、制造系統仿真、專家系統和AR/VR等技術，高效開(kāi)展工(gōng)廠規劃、設計和仿真優化。
車(chē)間/工(gōng)廠數字化交付。搭建數字化交付平台，集成虛拟建造、虛拟調試、大(dà)數據和AR/VR等技術，實現基于模型的工(gōng)廠數字化交付，打破工(gōng)廠設計、建設和運維期的數據壁壘，爲工(gōng)廠主要業務系統提供基礎共性數據支撐。工(gōng)廠規劃、設計和交付，提高設計效率和質量，降低成本。
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