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How to use statistical techniques to evaluate supplier quality assurance capabilities
Time: 2015-07-30 Source: Cutting Edge of Packaging Read: 13061 times
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Wenzhou Junchuan Machinery Equipment Co., Ltd.


There are many factors that affect the quality of ink products, which are divided into five aspects: human, machine, material, ring, and law. In terms of human, machine, environment, and law, the enterprise can improve and control through various means and measures. The quality of the "material" directly affects the quality of the ink product, but the only factor that affects the "material" lies in the supplier. Hand.

The ink production process is relatively simple. Once the formula is determined experimentally, the stability of the quality of its ink products depends largely on the stability of the quality of the raw materials. Most ink production companies directly use raw materials provided by suppliers. Reuse raw materials after processing. Therefore, the stability of raw material quality is even more important.

How to effectively manage and control the raw material suppliers is a practical problem commonly faced by ink manufacturing enterprises. Effectively evaluating and evaluating suppliers is one of the effective measures to ensure the stability of the quality of the purchased raw materials. The purpose of this article is to use statistical techniques, through the inspection of raw material characteristics and quality indicators, to collect statistical analysis of its testing data, to determine the quality assurance capabilities of different suppliers, to provide a basis for evaluating and managing suppliers, to take effective management measures in a timely manner, and to choose High-quality suppliers supply, so as to achieve stable raw material quality and minimize the impact of raw materials on products.


I. Inspection instruments, equipment and test conditions

1. Inspection instruments and equipment

XND1 coated 4 # cup, water bath pot, 0 ~ 100 ℃ mercury thermometer, stopwatch, JB50-J electric mixer, SL1021 electronic balance, GXX-DH300-Ⅱ electric constant temperature drying oven.

Test conditions

Dissolve into 20% resin solution at room temperature of 25 ℃.


Determination of suppliers, raw material varieties and characteristics

1.Supplier

Select three normal supply units in the past two years, which are represented by A, B, and C, respectively.

2. Raw materials

Solid tree finger of a certain species.

3.Characteristics

The molecular weight of the resin can be judged by the viscosity of the resin liquid at a certain concentration, and the fluctuation of the molecular weight can reflect the quality assurance ability of the production process of the resin manufacturing enterprise. Through statistical analysis of its characteristic index viscosity, the Stability, the larger the standard deviation, the more unstable the production process, the smaller the standard deviation, the more stable the production process, and the more stable the quality of the product it provides, so the viscosity index is selected as the characteristic index.


Collection of data and determination of analysis methods

Collect the data of the viscosity index of the incoming inspection in 2013 and 2014, and randomly select the inspection data of ten batches from each manufacturer. By calculating its standard deviation and range, analyze the fluctuations in the quality of raw materials provided by suppliers.


Data collection, analysis and analysis

1. 2013 data collection and analysis


1438244238667541.jpg

Table 1: 2013 resin viscosity test data

2. Result calculation

Known: n = 10

A: (Xi / 10) 2 = 970.40, ΣXi / 10 = 95.9

B: (Xi / 10) 2 = 1069.01, ΣXi / 10 = 101.3

C: (Xi / 10) 2 = 645.37, ΣXi / 10 = 79.9

By the formula:

S2y 甲 = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= {[970.49- (95.9) 2 /] 10} / (10-1)

= 5.6454

Sy A = 2.376

The standard deviation of the supplier is S A = 10X2.376 = 23.76

Extreme R R = Xmax-Xmin = 122-60 = 62

S2y B = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= {[1069.01- (103.3) 2 /] 10} / (10-1)

= 4.7601

Sy B = 2.1818

The standard deviation of the supplier is S B = 10X2.1818 = 21.82

Range R B = Xmax-Xmin = 135-60 = 75

S2y 丙 = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= {[645.37- (79.9) 2 /] 10} / (10-1)

= 0.9965

Sy C = 0.9982

The standard deviation of the supplier is Sc = 10X0.9982 = 9.98

Range R C = Xmax-Xmin = 90-60 = 30

3.The standard deviation and range of resin viscosity of A, B, and C suppliers are shown in Table 2.


QQ截图20150312152037.jpg

It can be seen from Table 2 that among the suppliers in 2013, C has the best stability, and its standard deviation and range are the smallest; suppliers A and B are not ideal in production. Therefore, when we choose to use this raw material, we use the resin produced by the C supplier to the greatest extent, and put forward rectification requirements for the A and B suppliers. The quality stability of the supplier is ranked as follows:

Supplier: C A B

Good ———— → Poor

4. Data collection and analysis in 2014


1438244309907756.jpg

Table 3: Resin viscosity test data in 2014

Result calculation:

Known: n = 10

A: (Xi / 10) 2 = 505.68, ΣXi / 10 = 70.2

B: (Xi / 10) 2 = 823.54, ΣXi / 10 = 89.4

C: (Xi / 10) 2 = 748.40, ΣXi / 10 = 86.2

By the formula:

S2y 甲 = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= {[505.68- (70.2) 2 /] 10} / (10-1)

= 1.2174

Sy A = 1.129

The standard deviation of the supplier is S A = 10X1.129 = 11.29

Extreme R A = Xmax-Xmin = 96-60 = 36

S2y B = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= ([823.54- (89.4) 2 /] 10} / (10-1)

= 2.700

Sy B = 1.643

The standard deviation of the supplier is S B = 10X1.643 = 16.43

Range R B = Xmax-Xmin = 114-67 = 47

S2y 丙 = {[Σ (Xi / 10) 2- (ΣXi / 10) 2] / n} / (n-1)

= {[748.40- (86.2) 2 /] 10} / (10-1)

= 0.5951

Sy C = 0.7714

The standard deviation of the supplier is Sc = 10X0.7741 = 7.71

Extreme R C = Xmax-Xmin = 98-70 = 28


5.The standard deviations and range of resin viscosity of A, B, and C suppliers are shown in Table 4.


QQ截图20150312152136.jpg

Table 4: Comparison of standard deviation and range of resin viscosity of suppliers A, B, and C

It can be seen from Table 4 that among the suppliers in 2014, C still has the best stability, and its standard deviation and range are the smallest. The production process control is relatively good, followed by supplier A, and the worst is supplier B. The supplier quality stability is ranked as follows:

Supplier C A B

Good ————— → Poor

Through the statistical analysis and comparison of the two-year inspection data, it is found that the standard deviation of the resin viscosity of the three suppliers has decreased compared with the previous year, indicating that the supplier's resin production control has been improved compared to the previous year, which is also what we hope .

V. Conclusion


Through the above statistical analysis, it can be determined that, in a certain level of solid resin quality assurance capability level, the quality assurance capability level of supplier C is the best, followed by supplier A and supplier B.

Through statistical analysis of the quality of raw materials, we can provide a basis for designing different grades of ink varieties. We design and adjust formulas to meet the needs of different users according to the quality of resin provided by different suppliers.

The analysis of the supplier's quality assurance capability level through statistical technology can provide us with a basis for evaluating and selecting high-quality suppliers. In the daily procurement management, it is possible to increase the procurement share of suppliers with good quality assurance capabilities and reduce or eliminate quality Suppliers with poor level of assurance. At the same time, rectification requirements can be raised for suppliers with poor quality assurance capabilities.

Although the realization process of ink products is relatively simple, to maintain the quality stability, not only do a good job of internal management, but also the stability of the quality of raw materials as a basis. Therefore, statistical analysis of the relevant characteristics of the raw materials of the supplier at regular intervals, combined with other assessment indicators such as timeliness of delivery, service and other indicators, can effectively evaluate the supplier, select the best supplier, and ensure the ink Stable quality of raw materials.

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