SIE's model based manufacturing "1+2+3+X" innovation mode makes the process intelligent manufacturing practical and strong
The process manufacturing industry is a pillar industry of the national economy. Petrochemical, coal coking, metallurgy, feed, pesticide, food processing, and food brewing are typical process manufacturing enterprises. To solve the problems of formula asset safety, business collaboration, logistics control, and data processing in process manufacturing, it is urgent to promote the automation, digitization, greening, and intelligent development of process manufacturing.
Intelligent manufacturing is the main direction for China to become a manufacturing powerhouse and the core technology for enhancing the overall competitiveness of the manufacturing industry. To achieve a leapfrog development in the process manufacturing industry, it is necessary to combine the characteristics and goals of intelligent manufacturing and process manufacturing, fully utilize information technologies such as AI, Internet of Things, and big data cloud computing to deeply integrate with process manufacturing, and continuously improve to achieve dynamic optimization and global visualization of manufacturing operation processes, promoting the transformation of process manufacturing enterprises from manufacturing to intelligent manufacturing.
流程制造行业的发展历程
Business pain points
01 Formula Management
As a core asset of enterprises, the safety of the transmission of process formulas cannot be fully guaranteed in the process of formula design/issuance; Relying on manual feeding makes it difficult to ensure the accuracy of process ingredients; Faced with fierce market competition, it is difficult to quickly iterate and optimize formula management to respond to market price changes.
02 Business Collaboration
The complexity of multi factory collaboration is high, and it is difficult to unify the issuance and execution of plans; The management of raw materials and formulas is extensive, making it difficult to control production costs; Data silos, system fragmentation, delayed feeding of silos, and obstructed material supply; Low feeding accuracy and frequent operational errors; The feedback parameter information of sampling, testing and laboratory analysis lags behind; Lack of authentic and comprehensive input-output analysis, batch quality traceability, and batch process analysis data, leading to poor management.
03 Material Management
Under multiple manufacturing modes, inconsistent raw material procurement standards across multiple factories lead to frequent material safety issues; The accuracy of material measurement and inventory in the workshop is insufficient, and it is difficult to achieve consistency between accounts and reality; Industry characteristics result in inadequate batch control, making it difficult to trace and improve; Finished product delivery, difficulty in controlling asset security, etc.
The direction of intelligent manufacturing in the process manufacturing industry
Model based Manufacturing 1+2+3+X Innovation Model
SIE has built a manufacturing operation management solution for the SIE process manufacturing industry based on the knowledge-based capabilities of the intelligent manufacturing industry that have accumulated for many years, and created a model-based manufacturing "1+2+3+X" innovation model. With the concept of meta model driven, based on a unified industrial technology platform and industrial data service platform, and combined with the three major business capabilities of Center Site central governance, industry knowhow precipitation and AI innovation empowerment, it focuses on the full life cycle of the formula of the process manufacturing industry, balance of production and sales, production standardization, total quality management, logistics, energy, equipment, safety, environment, data operations and other business scenarios, and builds an APP Flexible combination application, using modular components for flexible assembly and custom plugins to meet the personalized development needs of process intelligence manufacturing. Through refined and digital management methods, it helps enterprises to have a deeper understanding of various links in the production value chain, improve the agility of business processes and technical management accuracy, reduce waste, lower operating costs, and gradually transform the original extensive management into a refined control and integrated process digital operation, empowering process manufacturing to be deeper, more refined, more practical, and stronger.
Overall solution
Integrate intelligent collaboration for full process control and integration of four key application scenarios
Key application scenario one: Formula management
Formula control: Implement full process control from formula transmission to execution to ensure the safety of core assets;
Formula optimization: Based on market price fluctuations, timely optimize formulas to ensure product cost advantages.
Key application scenario 2: Production and sales balance
Reasonably optimize resources through demand forecasting models, intelligent scheduling, and scheduling models, and improve customer satisfaction through overall scheduling through capacity coordination and collaboration platforms and logistics management platforms. The following two modes:
1. Each base builds its own sales channels and prioritizes self supply, using seasoning from sister companies
2. Group sales channels, unified demand management, unified planning and production scheduling, and each company accepting orders.
Key application scenario three: Model driven integrated production control
Collaborate with various positions and human-machine collaboration to ensure consistent product quality and empower continuous and efficient production.
Key application scenario four: Integrated planning and logistics
From demand to logistics tracking, settlement, and achieving full process and element collaboration in logistics.
Empowering Process Intelligence with Eight Different Abilities: Deep and Fine Manufacturing
Looking forward to the future, SIE Information will continue to make efforts, focus on the application scenario of process manufacturing collaboration, base on excellent operation, constantly explore and practice the cutting-edge concept of "model-based manufacturing MBM", lay a solid foundation for the automation and digital transformation of process manufacturing enterprises, and enable process manufacturing to become deeper, more detailed, more practical and stronger through the solution of integrated whole process management and control.
