I. Closed-loop Management of Intelligent Manufacturing
The purpose of implementing closed-loop control management in intelligent manufacturing systems is to create new capabilities and sustainable competitiveness for enterprises. The following principles must be followed in closed-loop control management:
1) System integrity: Emphasizing that local systems conform to the intelligent manufacturing system, system modules conform to local systems, and execution programs conform to system modules; the system should be planned as a whole, and the boundaries of each system and the boundaries of each system module should be clearly defined during the planning process to ensure the establishment of the intelligent manufacturing system framework.
2) Strengthen process control: Conduct system research, establish, implement, review, and improve the system to ensure that it is compatible with the company's development.
3) Establish a talent ladder adapted to intelligent manufacturing: Establish a talent system architecture that matches the talent needs of intelligent manufacturing, including recruitment, training, assessment, promotion, and elimination.
4) Strengthen production and operation: Enhance the control of production and production performance indicators to reduce the company's production and operation costs.
5) Strengthen management and operations: Control management and operations and performance indicators to improve the level of operational management.
6) Establish a research and development system, service system, and supply chain system that adapt to the ever-changing market demands.
7) Establish a PDCA problem-solving mechanism.
8) Clearly define the job responsibilities of each staff member, maintain complete records and feedback on the performance of these responsibilities, and prevent the same problem from recurring.
9) Establish an assessment system that matches the business.
II. How SMEs can undergo digital transformation through smart manufacturing
(I) Promoting Digital Management
Implement a top-level responsibility system for enterprise digital transformation, build an organizational structure adapted to digital transformation, and formulate supporting management systems such as performance management, assessment plans, and incentive mechanisms. Regularly organize digital training for enterprise managers and frontline employees to deepen their understanding of digital transformation and improve their digital literacy and skills. Guide business and technology departments to strengthen communication and collaboration, forming a cross-departmental synergy for digital transformation. Enterprises with the necessary resources may explore establishing dedicated digital transformation departments. Utilize automated financial processes, collaborative office platforms, and standardized human resource management products to achieve digital transformation in management aspects such as finance, office operations, and human resources, thereby improving the level of refined enterprise management. Apply industrial internet platforms to promote the comprehensive integration, visualization, and intelligent analysis of data across all aspects, optimizing enterprise business management decisions.
(III) Conducting Business Digitalization
By applying subscription-based product services, we can drive the digitalization of business processes such as R&D design, manufacturing, warehousing and logistics, and marketing services, reducing one-time investment costs. We can utilize SaaS-based computer-aided design (CAD) and computer-aided engineering (CAE) tools for digital R&D design, developing new models such as crowdsourced design and collaborative R&D to improve R&D efficiency. By applying cloud-based manufacturing execution systems (MES) and advanced planning and scheduling (APS) products, we can optimize the allocation of manufacturing resources and achieve flexible, on-demand production. By applying solutions such as warehouse management systems (WMS), order management systems (OMS), and transportation management systems (TMS), and hardware such as automated guided vehicles (AGVs) and autonomous mobile robots (AMRs), and using third-party logistics platforms, we can drive the digitalization of warehousing and logistics. We can implement full product lifecycle management, build digital product mirrors, improve product data management, develop value-added services based on digital products, expand our business scope, and innovate profit models.
(iv) Integrating into the digital ecosystem
By leveraging the industrial internet platforms built by core enterprises in the industrial chain and supply chain, and integrating into their ecosystems, we can strengthen collaboration and support to achieve coordinated transformation for large, medium, and small enterprises. We can also accelerate our own digitalization by utilizing industry-leading solutions. Based on industrial parks/industrial clusters, we can develop networked collaboration models such as order sharing, equipment sharing, capacity collaboration, and collaborative manufacturing to compensate for the resource and capability deficiencies of individual enterprises. We can actively connect with the digital innovation networks of industrial parks/industrial clusters and utilize common technology platforms for collaborative innovation. Furthermore, we can actively connect with public service platforms for SMEs and participate in activities such as policy dissemination, supply and demand matching, consulting and diagnostics, and talent training.
