Under the wave of intensified global competition and digital transformation, manufacturing
production efficiency has become a key indicator of enterprise survival and development. This
article will be from the production process, technology application, management innovation and
other dimensions, systematic elaboration of the practice of improving manufacturing efficiency.
First, production process reengineering: the starting point for
eliminating waste
Identify non-value-added links through the value stream analysis, and use lean production concepts to
reconstruct the sequence of operations. An auto parts company shortened the assembly cycle by 40%
through process consolidation, but this article does not cover specific cases. Focus on the implementation
of unitized production layout, reduce material handling distance, and establish a standardized operation
guidance system.
Second, the stepwise application of intelligent equipment
Basic automation: prioritize the transformation of highly repetitive workstations
Data interconnection: deploy sensors to realize real-time monitoring of equipment status
Flexible manufacturing: the introduction of collaborative robots to adapt to multi-species production
Third, data-driven decision-making system
Construct a production digital twin model to locate bottlenecks through OEE (Overall Equipment Effectiveness)
indicators. An electronics factory reduces fault response time by 60% by analyzing equipment logs, which is only
a methodological illustration. Establishing a production Kanban system to realize minute response to abnormal
conditions.
Supply Chain Collaboration Optimization
Establish VMI (Vendor Managed Inventory) system with suppliers to improve raw material inventory turnover
rate by 30%-50% (industry average data). Adopt JIT (Just-In-Time) distribution mode to reduce production line
waiting time.
Five, full participation in continuous improvement
Establishment of a proposal reward system, a home appliance company annual staff improvement proposals
more than 2,000 pieces, this paper does not make specific references. Carry out multi-skilled worker training to
realize the flexibility of personnel deployment.
Sixth, energy management innovation
Deploying smart meters to identify high energy-consuming equipment, reducing energy costs by 15%-20%
through peak production (industry research data). The payback period of waste heat recovery system is usually
2-3 years.
VII. Quality Prevention System
Implemented error prevention devices (Poka-Yoke) to keep the defective rate below 50 PPM (parts per million).
Adopt SPC (Statistical Process Control) to realize early warning of quality fluctuation.
Productivity improvement is a systematic project, which needs to be driven by both technological upgrading
and management change. Enterprises should choose the appropriate program according to their own development
stage to achieve sustainable efficiency growth under the premise of quality assurance.