inbound outbound manufacturing system

Hank Times-Smart Manufacturing Kit

넳 넲

Hank Era Intelligent Manufacturing

Through years of technology accumulation and joint efforts with our IoT and manufacturing partners, we released the Hank Era Smart Manufacturing Solution. It provides manufacturing enterprises with a full set of solutions for production management, operation management, real-time IoT product information collection, data analysis, quality management, manufacturing planning, raw material management, warehouse management, inventory management, etc. Hank Times smart manufacturing solutions also have interfaces with your ERP, CRM, SCM, and EAM (Enterprise Asset Management) systems.

Overall Function

Intelligent Business Operations

(1) Demand Discovery and Precision Marketing
The product data or production execution status data from the intelligent business operation module of Hank Zhizao Suite can be obtained through data integration with the production line, and these real-time data are then shared with distributors and customers through services such as digital marketing platform and intelligent customer service app. This keeps customers informed of the status of the production line and enables synergies between the sales process and the production process.

(2) Synergy between manufacturing and sales processes
The intelligent business operation module determines the production plan through the company's ERP system, obtains the production plan according to APS (Advanced Planning System), makes necessary manual adjustments, and issues a formal raw material supply plan according to the production plan. All this planning data is then sent to the MES (Manufacturing Execution System) to arrange for the relevant raw materials, personnel and equipment to be ready for manufacturing. In the manufacturing process, the MES sends supply information to the inventory and sales system so that the manufacturing and sales processes work together.

(3) Integration of design and production
The design system publishes the production process and other information to the server DNS or DCS (Distributed Control System) through the industrial Internet, and PLM (Product Lifecycle Management) manages and publishes the product data in a unified manner.

(4) Dynamic adjustment of production
Automatically and dynamically update the process information and parameter compensation of the corresponding machining parts of the machine tool through DNS or DCS.

(5) production process data acquisition and processing
Equipment processing information, quality information, etc. are uploaded to the IIoT gateway through sensors, networks, and through the IIoT platform for unified processing and storage.

(6) Precise execution
Industrial control systems and MES systems can read IIoT data in real time and make recommendations on productivity, quality control, energy consumption, fault warning, accurate execution and decision-making.

(7) Full Traceability
Customers or administrators of manufacturing companies can check the status of products and raw materials through sensor devices such as QR codes or RFID, and can perform cascade analysis.

(8) Predictive maintenance of equipment
Administrators can obtain the status and maintenance status of equipment through data collection and data analysis functions. The Hank Smart Manufacturing Suite will use this data to make predictive maintenance recommendations and even implement relevant production system adjustments.

(9) Intelligent Warehousing and Logistics
The JIT movement of warehousing information and materials can be completed through the intelligent iWMS warehousing logistics control system and the external collaboration portal of the industrial robot industrial Internet platform such as agv and derivative driving robots to realize the coordination of production process and logistics.

(10) R & D Design Innovation
Based on the IIoT platform, multiple factories can share R & D design data for parallel version design, improve design efficiency and reuse, learn from production feedback, and realize collaborative R & D design innovation.

(11) Real-time transparent visualization
With big data analytics, different types of management dimension data can be displayed and viewed through mobile devices and industrial applications.

establishing a production alarm discrimination model, automatic detection of abnormal signals within the monitoring range: through monitoring and identification of alarm information, self-produced alarm push, prompt operators and managers of the location of the alarm, and layered push to the corresponding management personnel.

production alarm

System Architecture

production warning

realizes the real-time capture of abnormal production operation: early warning of possible or imminent abnormal events, actively pushing information to relevant managers and posts, and transforming the traditional control mode of after-the-fact emergency and discovery into an intelligent mode of pre-prediction and active response.

Material Management

material management is the core business of production execution system. It can cover the business of enterprise production unit, tank farm, storage, warehousing and production line, realize data consistency and full sharing, establish standardized and fine-grained production logistics quantity and value management system based on unified factory model, provide timely, provide accurate and complete production data for ERP system, promote production business standardization, realize digital production material management, and improve enterprise management refinement.

Energy Management

can grasp the operation of the energy pipe network, key energy-using equipment, processes and procedures in real time; establish an energy optimization calculation model, further explore the law of energy operation, and provide the company with intelligent decision-making for energy optimization from the two aspects of pipe network and electricity, and give suggestions for energy consumption optimization; use the energy analysis model to make regular, thematic and comprehensive analysis of energy, and comprehensive analysis of the advantages and disadvantages of energy management and energy consumption optimization results; the use of energy statistical calculation model, in a variety of ways to complete the energy network and key energy equipment, process energy consumption data visualization, to help enterprises improve the level of energy management, enhance energy optimization capabilities, the establishment of energy evaluation system, reduce energy operating costs.

completes the comprehensive perception monitoring of equipment and the closed-loop management analysis of the whole process of equipment preparation, operation and disposal through the deep integration of the intelligent prediction calculation model of the equipment and the intelligent AI. Help enterprises to use intelligent means to subvert the traditional equipment management methods, reduce equipment failure rate, reduce equipment cost, improve equipment reliability, improve equipment comprehensive utilization rate, and realize equipment life cycle management.

Equipment Management

Warehouse Management

in the material in and out of the warehouse operation, based on material identification, RFID, wireless transmission technology, the introduction of Internet of things equipment, mobile terminals, the whole process of warehouse management digital and labeling transformation, to achieve people, things, space digital and visualization, warehouse business operations. And through the integration of shared services to achieve event-driven warehouse management, process standardization, to help enterprises achieve "consistent accounts", improve operational efficiency, optimize inventory management.

Quality Management

takes the quality system as the core, according to the quality management idea of continuous improvement, meets the business requirements of group management and enterprise process control, constructs the management system for products and product production process, realizes the integrated quality information management of the whole life process of products, and monitors the product quality and process quality in real time. Accurate quality information analysis, optimization and improvement of the original quality management system and process.

inbound and outbound management

combines the existing business process of the enterprise, relies on the intelligent equipment on the production site, and is supported by RFID, QR code, intelligent AI and other technologies to realize the full visualization, intelligence and informatization of warehousing and outbound operations, realize the comprehensive and refined management of warehousing and outbound calculation, and the appliance management and dispute handling of "water, road, iron, pipe" and other transportation modes, so as to help enterprises strengthen the ability of inbound and outbound management, Save costs and improve economic benefits.

Sales Management

According to the sales orders obtained from ERP, actively track customer orders, pass sales data to the production department, accurately control the quantity and value of sales products, and comprehensively manage the sales process. At the same time, the data model can be used to extract and filter all product and order information, form a complete analysis and evaluation system based on the obtained data, complete the comprehensive analysis of the volume and value of sales results, and help enterprises to better complete the production and marketing collaboration.

Plan Management

obtains various energy and production master plans or orders from ERP, formulates specific workshop-level energy and production plans in sequence according to time, importance, urgency and planning management standards, and tracks the completion of the plan in real time and estimates the completion and time. This enables production activities to be "reasonably arranged and orderly", and realizes the integration of the entire process from scheduling to execution and reporting at the workshop level, helping companies maximize the efficiency of the production process, thereby improving the economic benefits of the company and maximizing To bring benefits to customers.

Production Scheduling Commands

controls the current production dynamics in real time through comprehensive perception of production data: based on the identification model and rules of production data, real-time calculation of perceived real-time production operation information is realized, multi-dimensional comprehensive monitoring of five major types of business entering and leaving the factory, tank farm, factory operation, public works and material balance is realized, and data support is provided for prediction analysis, production early warning and exception handling.

Operations Management

Based on operational indicators, the use of information technology to achieve a full range of production process monitoring and management. Further enhance the standardization of team operations, the fluency of production operations, the refinement of team management and the continuous optimization of process indicators, and realize the "safe, stable, long, full and excellent" of factory operations, which is helpful for strict production operations. Management ensures fluency, safety, production quality and efficiency of factory operations.