September 21, 2025

Analysis and differentiation of new and old fasteners

1. The new bolt and nut standard has removed the old designation "A and B" from its name.

2. Thread specifications are now preferred in the updated standard.

3. A new screw standard has been introduced, including reference quality data for every 1000 steel screws.

4. Non-ferrous metal bolts, nuts, and screws have been added to the standard.

1. The new standard defines the tolerance for the nominal diameter (d) of pins and includes tolerances that can be agreed upon by both the supplier and the buyer.

2. New requirements for surface treatment and phosphating have been added for steel fasteners.

3. The new standard clearly states that all tolerances apply only to the dimensions before any coating or plating is applied.

Quality management should take into account the actual production conditions, ensuring that process records are well connected and cross-referenced. It should be as simple as possible to meet the requirements. If not, the forms may become overly complicated, leading to resistance from workers and managers. This can result in poor documentation and even the loss of important quality records. In such a case, what value does the record really hold?

Enhancing the use of statistical techniques can significantly improve overall quality management. These techniques serve as essential tools for effective system operation. Proper application of statistical methods allows for timely monitoring and verification of production capabilities and product characteristics. First, companies should identify which statistical methods best suit their product features and management style. By analyzing different management tasks, they can determine where and how to apply these techniques, detailing specific quality activities, production processes, and inspection procedures. Middle and lower-level managers are key to implementing these techniques, but if senior management also has some statistical knowledge, it can enhance decision-making and problem-solving abilities, encouraging better adoption across all levels. This approach not only improves quality management but also promotes the broader use of statistical methods within the organization.

By analyzing and evaluating data, improvements can be made based on statistical findings. This involves identifying the main factors from various facts and implementing corrective or preventive actions. As a result, product quality will continuously improve. This leads to better overall management and more efficient operation of the quality system, ultimately delivering greater economic benefits to the company. In summary, with intense market competition, establishing and maintaining an effective quality management system is not just an external requirement, but also a crucial internal need. For the system to work effectively, it requires the attention and involvement of management, along with the cooperation and implementation by all employees. It also needs appropriate equipment, advanced techniques, and proper control methods. Most importantly, a corporate culture centered on full participation and continuous improvement must be established.

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