TW452718B - Method for integrating automated production capability information - Google Patents

Abstract

There is provided a method for integrating automated production capability information, which minimizes the total testing time in a testing plant and provides an integration of production capability information so as to have standardized and automated processing procedures to comprehensively program the testing jobs for various products. It is able to integrate the basic data and procedures of various production departments and also to calculate and monitor the estimated job load at any time, so as to provide a quick query about the testing time of any product thereby feeding message back to different department. After analyzing the statistic data of testing time for a long time, it is able to estimate the standard testing time of old products in a systematized manner, but also to estimate the standard testing time of a new product based on its feature and by analyzing the testing time data in a database.

Description

A7 B7 452718 5. Description of the invention (Inventory: The invention relates to a computerized scheduling system to systematically analyze and evaluate the operation of an organization, especially to minimize the total test time of the test plant. Back to the invention: The manufacturing of semiconductor components can be divided into two parts: component manufacturing and product testing. The test time of product testing is one of the important factors of Yingli's overall production efficiency. The production of semiconductor components needs to go through the product test process. Factors affecting the test time include the configuration of the demand for different products in various test equipment, the demand for products burdened by various test equipment, and the operation control program of the test equipment. Settings, product testing in response to different customer needs, uncertainty in new product testing methods, and coordination between departments will all directly or indirectly affect the total test time of a product. Today * in terms of semiconductor test plants Before production scheduling and dispatch, there was no one way to optimize the production capacity. Production scheduling It is related to the characteristics of the test machine. It is used to properly allocate and plan the product requirements of various different types and characteristics. Because there are many different products to be tested, such as different wafers, shame bodies, The test time and time of integrated circuits are different, and some products can only be tested on specific test machines. 2 This paper size is applicable to the national standard of the country < CNS) A4 specification (210 X 297 public) -) --- --- 111 ---- It --------- (Please read the notes on the back before filling out this page) Intellectual Property Bureau, Ministry of Economic Affairs, Consumer Consumption Co., Ltd. Printed by A7 B7 of the Consumer Cooperative of the Property Bureau V. Invention description () And the production capacity of various test machines is also differenta At the same time, different test machines have different performances' and the programs used to control the operation of the machine will also affect the test Time, for example, a product can be tested on multiple machines, and there are simultaneous CP / FT tests and sort 1, sort2 tests, etc. This will make it difficult to estimate the capacity of the test machine. Furthermore, many new products often do not know which test machine to test and how much test time it takes, thereby increasing the difficulty of production scheduling. On the other hand, the industrial engineering department, testing department, and total order management system (TOM) of different test factories operate in different ways, and there is no information integration system to interactively communicate product demand. The real-time information related to the operation of the testing machine makes the overall control of product testing more difficult. Setting a standard test time for a test machine is critical to accurately estimating production capacity. Because only the past experience is currently used to roughly estimate the production capacity of each testing machine relative to different products, there is no method and procedure to set a reasonable standard test time, and the method of estimating the standard test time of products of different test plants is different. Makes the production capacity of each test machine unable to be correctly estimated, which affects the goal of optimizing the production schedule (that is, the shortest total test time). 0 Purpose and summary: In summary, 'To improve the efficiency of product testing work Since F ~ Shuangping shortened the total test time, it is indeed necessary to set a standardization and automation process to apply the National Standard for Difficulties (CNS) A4 specification (210 X 297 male cages) to 3 paper sizes ---- rid ---- install ------- r order -------- < Please read the notes on the back before filling this page) 45271 8

V. Description of the invention (Planning the testing of various products as a whole. (Please read the precautions on the back before filling out this page). Therefore, the purpose of the present invention is to improve product throughput, and to order-sets Optimized production ㈣1 < n ⑨ ". It is estimated that due to different test plants, the method of estimating the test time in each party is different, and the test method is based on the calculation method to achieve standardization purposes; . ^-1 · It has a theoretical calculation that is close to m. It can also be rationalized and bismuth based on statistical theory. 4 The solution of unified system: At the same time, it can be developed by applying the soft hero. It is possible to computerize and automate the operation method of solving the problem of tea, to reduce manpower and time. Therefore, another object of the present invention is to set a standard computerized and automated measurement time setting method. Ministry of Economic Affairs Printed by the Intellectual Property Bureau employee consumer cooperative. First, before production is dispatched, the method disclosed in the present invention can be based on statistical data accumulated over a long period of time to analyze the test time of shadow honey products, and determine a reasonable Quasi-test time. This statistical analysis step first determines the factors that affect the test time (such as different products, different test equipment and different test programs, etc.), and then groups the data for each factor and analyzes its distribution. After obtaining the distribution of the data It is necessary to consider whether the sample size is sufficient and representative, and then use the Tukey method (the application of Box Plot) to remove extreme values (such as caused by changing the test program) so that the calculation results will not be biased by the extreme value of music. Finally, the median of the processed data is calculated and used as the paper size to apply Chinese National Standard (CNS) A4 (210 X 297 mm) 452718 A7 B7 V. Description of Invention Cooperatives print estimates of standard test times. It is expected that the ten values will be calculated by analyzing the long-term test time of new products. L will estimate the standard test time of the old product in a unified manner, and it can be consistent with the new characteristics. The old test conditions are based on the analysis of the test time data in the database to estimate its standard. The system is updated regularly, and the latest statistical data base is published in order to make it clear. Then, the standard test time and various productions obtained in accordance with the above methods are used. The amount is calculated by linear algebra in Φ mathematical method. Calculation (Transportation ion simplex method) to get the optimal capacity allocation to minimize the total test time. The analysis and mathematical calculation of the above statistical data are performed by a powerful and affinity computer system and network. This structure is inconsistent, that is, a capacity information integration system 'which can integrate basic data and procedures between manufacturing planning departments and TOMs in different factories', and can calculate and monitor the estimated workload at any time, providing quick query of any product Test time, and feedback the information to the sales, planning, and wafer fab departments as a reference for strategy formulation. Brief description of I8 formula: Figure 1 shows the transportation matrix established by a supply and demand table; Figure 2 shows the transportation matrix obtained after the demand for each product is allocated: Figure 3 uses the "optimal" Algorithm for capacity allocation (read the precautions on the back before filling this page). -Order—ϊ. This paper size is applicable to China's standard ladder (CNS > A4 specification (2 丨 0X297) ^^ &71; 71 8 A7 B7 V. Explanation of the invention (The employee property cooperation of Intellectual Property Bureau of the Ministry of Economic Affairs printed the first matrix of the first matrix; the matrix of the first matrix: the matrix of the first matrix: the first matrix of the first matrix: The first and second structure of the grouping; the "new related transportation matrix" of the basic feasible solution; and the figure 4 shows the transportation with the first row and the second row as the base variables, and the closed line indicates The path of the out-chain reaction: 5 circles are the new transportation moments obtained according to the chain reaction shown in Section 4®. The figure 6 shows the transportation with the first column and the third row as the base variables. Among them, the closed line is marked. The path of the bond reaction; Figure 7 is obtained according to the chain reaction shown in Figure 6. The new transportation moment 8 is shown in the third column and the second row is used as the base variable. The closed line indicates the path of the chain reaction. Figure 9 is the cut obtained according to the chain reaction shown in the eighth circle. The transport moment 1 〇 A is the first result obtained according to the factors that affect the test time; 1 0B is the second result obtained according to the factors that affect the test time; 1 oc ® is based on the influence of the test time Factors, the third result obtained; Figure 11A is the symmetrical distribution of test time data; Figure ΠB is the distribution of right skewness of test time data; Figure 11C is the distribution of left skewness of test time data; Figure 12 It is a system for integrating capacity information disclosed in the present invention. The paper size is applicable to China National Standard (CNS) A4 (210 X 297 public love) (Please read the precautions on the back before filling this page)

TI * III ϋ nl · * ** 5Ί '* n ϋ ϋ t · nf 452718 A7 B7 V. Description of the invention (1 3 circles are the automated standard test time data system and network framework disclosed by the present invention. Say aq 120 capacity information integration system 122 client computer system 1 24 capacity information integration system information network server 1 26 test failure data 1 28 TOM information network database 1210 TOM database 13 0 automated standard test time data system and network Road structure 132 database server 134 time-division multiplexing computer system 1 3 6 database server in factory area 丨 3 8 statistical analysis server 1310 database server in factory area 312 terminal 1314 TCP / IP network communication protocol 1316 SQL network 1318 SQL network 1 320 TCP / IP network protocol invention detailed description: (Please read the precautions on the back before filling in this purchase) i equipment—4 · today °; -------- Λ Printed by the Consumer Cooperatives of the Intellectual Property Bureau of the Ministry of Economic Affairs will first explain the optimized capacity allocation method disclosed by the present invention, secondly describe the method for setting the automatic standard measurement time, and finally explain the framework of the capacity information integration system "Optimization of production capacity configuration algorithm (Optimal Capacity A1 location Algori thm) can be divided into three parts: 1) to obtain basic feasible seven paper scale applicable Chinese National Standard (CNS) A4 size (210 X 297 public")

Employees' Cooperatives, Indun 45271, Intellectual Property Bureau, Ministry of Economic Affairs 8 V. Explanation of the invention () Solution, 2) Check whether the optimization test is performed: and 3) Perform the optimization test-find the best solution. Part 1: Find the basics Feasible solution; Step 1 establish a supply and demand table to define-"transport matrix". Figure 1 is an example of a supply and demand table. In this supply and demand table, the first row (column) is the code of the test machine, such as S15, TRiLL, etc .; the first column (row) is the product code 'such as TM 1〇〇 〇, TM372 1 and so on, and the last row and the last column are the product demand and the available capacity of the test machine respectively, where the product demand is in units of "pieces" and the available capacity is in units of Γ minutes. There is a number in the upper right corner of each grid, which represents the standard test time (minutes / piece) for testing a certain product with a certain machine, for example, the TRIU machine test_ TM3506 wafer, which takes 87 minutes. The symbol M (infinity) indicates that the test machine cannot test the corresponding product, and the standard test time of the virtual machine is defined as 9 9 9 9 9 points / piece, and the available capacity is unlimited. It is used to record other test machines Demand for products that the table cannot accommodate. Step 2: In the transportation matrix, select the one with the smallest standard test time. As shown in Figure 2 for the transportation matrix, the minimum standard test time is 7.8, which is the transportation grid corresponding to the product TJU 946 and machine S15. Step 3: Allocate the largest possible product demand to the minimum standard test time 8 This paper size is applicable to the Chinese National Standard (CNS) A4 Regulation i " i2l〇x 297 Public Meal j ----- (Jing Xian read the notes on the back (Fill in this page again.)-装 — 1Γ Order l · ------^ 4527

V. Description of the Invention () Transport grid printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs. As the transportation matrix shown in the second circle, because the demand of the product TM1946 is 1 64 pieces, and its standard test time is 78 minutes / piece, a total of 164 * 7.8 = 1279.2 minutes is required to complete the test, and the machine S15 The available capacity is 63,694 minutes, which is greater than the demand. Therefore, the total demand of the product TM1 94 6 (64 pieces) can be allocated to machine S15. At this time, the available capacity of machine S15 is left. 63694_1 279 2 = 6241 4 8 minutes. Step 4 'Considering all the minor values of the standard test time and calculate by the method of Step 3' until the demand of each product is allocated ^ To the minor value of the standard test time 8.7, which is the intersection of the product TM3506 and the machine TRILL Location. Because the demand for the product τΜ35〇6 is 960 pieces and its standard test time is 87 minutes / piece, a total of 960 * 8 · 7 = 8352 minutes is required to complete the test, and the available capacity of the machine TRILL is 39,782 Minutes, this value is greater than the demand, so you can fully allocate the demand (960 pieces) of the product TM3506 to the machine TRILL »At this time, the remaining capacity of the machine TRILL is 39782-8352 = 3 1 430 minutes. Secondly, the standard test time is again a small value of 8.8, that is, the intersection position of the product TM3546 and the machine TRILL is allocated. Since the demand for the product TM3546 is 11,760 pieces, and the standard test time is 8,8 minutes / piece, so It takes a total of 11760 * 8.8 = 103488 minutes to complete the test. However, the available capacity of the machine TRILL has only 31,430 minutes remaining. This value is smaller than the demand. Therefore, the paper size of machine 9 applies the Chinese National Standard (CNS) A4 specification (210 X 297 mm) ---- install ------- t order L ------- Λ (Please read the precautions on the back before filling out this page) 452718 Employee Consumer Cooperatives, Intellectual Property Bureau, Ministry of Economic Affairs Printed Α7 Β7 V. Description of the invention () TRI LL can only test the remaining available capacity of 3, 1,430 minutes, that is, [31 430/8 · 8] = 3571 pieces. Production capacity is 0, and TM3546 has 8,189 units left untested. According to step 3 and step 4, after allocating the demand for each product, the result is shown in the transportation matrix shown in Figure 2 圄. The lower left corner of the t transportation box marks the distribution amount of each product. As mentioned before, the virtual machine's allocation is actually the demand for products that cannot be accommodated by other test machines. Part II: Check whether the optimization test is performed: In the transport matrix defined above, the number of columns is the number of product types, the number of rows is the number of test equipment types, and the base variable is the number of the product in the transportation grid. The standard test time, and the number of base variables is defined as the number of transport cells with product distribution. If the value of [number of columns + number of rows -1] is not equal to the number of basis variables, the distribution result obtained is the best solution; otherwise, if the value of [number of columns + number of rows -1] is equal to the number of basis variables, The distribution result obtained is not the optimal solution. In this embodiment, 'the number of columns is 12, the number of rows is 9, and the number of base variables is 15, because the transportation grid on the virtual machine platform has an assigned amount, and the products assigned to this virtual machine platform have more than two testable machines Platform, which means that there is a chance to spread the load, but the value of [number of columns + number of rows -1] is not equal to the number of basis variables, so the distribution result obtained is already the best solution (of course, this optimal solution is not the only 10 papers Standards are applicable to China National Standard (CNS) A4 specifications (210 * 297 mm) ----, ---- f ^ -------------- (Please read the notes on the back first (Fill in this page again) 452718 Α7 -------------- V. Description of the invention (1) Optimizing test · 'Find the best solution, please read the notes on the back before filling in (This page) Assume that we have obtained the basic feasible solution (ie, an initial solution) through the first part of the "r-optimized capacity allocation algorithm", as shown in Figure 3, which is a 3X4 "new related transportation matrix" "And check according to the second part, because the transport grid on the virtual machine has an assigned amount, and the value of [number of rows + number of rows _1] of the" new related transport matrix "is equal to Variable number (44 + 3 = 6), and therefore 'the result is not the best solution for this assignment. Step 1: Determine the "basic variables", such as "New Related Transport Matrix" in Section 4 Select the column (or row) with the most number of base variables and set its first parameter value Ui (or second parameter value Vj) as a basic parameter value. The basic parameter value can be arbitrarily selected_ fixed value. 0 is used as the basic parameter value, and then the relationship between Tij = ui + Vj is used to calculate all Ui and Vj-'where Tij is the base variable> In this example, the calculation process is as follows: Because the base variable in the second column The largest number, so set U2 to 0 ', that is, U2 = 0' and each base variable Tij = Ui + Vj, so the consumer cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs printed U 2 + V1 = 9, U 2 + V 2 = 1 2 and U 2 + V 3 = 1 3, so we can get v 1 = 9 'V 2 = 1 2 and V3 = 13 and in addition U1 + V1 = 8, U3 + V3M6 and U3 + V4 = 5, so Ul = Small U3 = 3 and V4 = 2. Then calculate the value of the non-base variable (Tίj-Ui-Vj), and choose the largest of the absolute values with negative values (if there are more than two, choose one of them). These 11 paper standards are applicable to Chinese S Standard (CNS) A4 specification (210 X 297 MM) 4 5271 8 A7 B7 Printed by the Intellectual Property Bureau of the Ministry of Economic Affairs, Shellfish Consumer Cooperatives, with a description of the invention (the transport case is the "base variable". The first column is the second The line [γι2-ΙΠ-V2 = 6-(-l) -12 = ~ 5] is the largest of the absolute values of negative numbers, so this transportation grid is "into base variable". Step 2: Determine "out of base variable" The transportation matrix shown in circle 4. Find the chain reaction needed to maintain the feasibility when the base variable is increased. Since the second row in the first column is "base variable" and is represented by Φ, it starts at this time Start to find the base variables to form a loop chain 'and interactively express it with ㊉Θ. From the loop chain, we can see that in the transportation grid represented by Θ, the product allocation amount 20 in the second column and the second row is the smallest, so the first The second row of the "Into Base Variable" = 0 + 2〇 = 2〇, the second column in the second row is "Out of Base Variable", Product allocation = 20-20 = 0, product allocation in the first row of the first column = 35-20 = 15, and product allocation in the first row of the second column = 0 + 20 = 30, so we can get The new transportation matrix of the 5th. At this time, U1 = 0, and U1 + V1 = 8 and Ul + V2 = 6, so Vl = 8, V2 = 6: Because U2 + V1 = 9, U2 = l; U2 + V3 = 13, so ν < ϊ_10. ^ I 6 * and U3 + V3 = 16, so U3 = 4; and U3 + V4 = 5, so V4-i. ^ Ί i 〇 Then calculate the non-base variable (14 卜 1 ^]) value, and select its value. Absolute value of private 4 π

The largest one (if there are more than two, choose one of them), this operation recognizes that the U deduction is "into the base variable J» [T13-Ul-V3 = l〇4 1f > u-l2 = -2] is the largest of the absolute values of the negative numbers, so this wheel grid is "into mi 8% variable". As shown in Figure 6, because the third behavior in the first column is "Slave into the base," and it is indicated by ㊉, at this time, we started to search for the base variables to form a sleeve-like chain, and the 12-sheet paper scale is applicable to the Chinese country. Standard (CNS > A4 specification (210 X 297 mm) (Please read the precautions on the back before filling this page)

* 4 ^ 4 --------. L · --- I — I I 45271 8 A7 B7 V. Description of the invention () ㊉Θ interactive representation. It can be known from the loop chain that in the transportation grid represented by Θ, (please read the unintentional matter on the back before filling this page) The product distribution amount of 15 in the first column and the first row is the smallest, so the first column Three lines "into the base variable" = 0 + 15 = 15, the first line in the first line "out of the base variable" product allocation amount = 1 5-1 5 = 0, the second line in the first row product allocation amount = 30 + 15 = 45, and the product allocation of the second column and the third row = 20-15 = 5, so we can get the new shipping matrix as shown in 7th. Then set V3 = 0 again, and

Ul + V3 = 10, U2 + V3M3 and U3 + V3 = 16, so Ul = 10, U2 = 13, U3 = 16; Ul + V2 = 6, so V2 = -4; and U2 + V1 = 9, so VI 2-4; printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs and U3 + V4 = 5, so U4 = -l 1. Then calculate the (Ti j-Ui-Vj) value of the non-base variable, and choose the largest of the absolute values with negative values (if there are more than two, choose one of them). variable". In the third column, [T32-U3-V2 = 9-16-(-4) =-3] is the largest of the absolute values of negative numbers, so this transport cell is the "base variable". As shown in Fig. 8, since the second row in the third column is "into the base variable" and is represented by ㊉, at this time, it starts to search for the base variable so as to form a loop chain, and it is represented by ㊉Θ interactively. It can be known from the loop chain that in the transportation grid represented by Θ, the product allocation amount of 10 in the third column and the third row is the smallest, so the "base variable" in the second row of the third column = 0 + 10 = 10, the third column and the third line "out of base variables" product distribution amount = 10-10 = 0, the first column second row product distribution amount = 20-10 = 10, and the first column third row product distribution The quantity = 1 5 + 1 0 = 2 5 so a new transportation matrix as shown in Figure 9 can be obtained. At this time, set 111 = 0, and Ul + V2 = 6, Ul + V3 = 10, so V2 = 6, V3 = 10; and U2 + V3 = 13, so U2 = 3; and U2 + V1 = 9, so Vl = 6; and U3 + V2 = 9, so U3 = 3; and U3 + V4 = 5, so V4 = 2. Next, calculate the non-base variable (Ti j-lH-V j). 13 This paper size applies the Chinese National Standard (CNS) A4 specification (210 X 297 mm). 452718 Printed by the Intellectual Property Bureau Staff Cooperative of the Ministry of Economic Affairs A7 B7 V. Invention Explanation () value 'The results are greater than or equal to 0, indicating that the best solution has been obtained. Next, an automatic standard measurement time setting method will be described. First determine the factors that affect the test time, such as different factory locations, different test numbers for the setting of the test machine operation control program, product testing to respond to the needs of different customers, the uncertainty of new product testing methods, and the various departments. The coordination work, such as β, then combined the data for each influencing factor, and analyzed the distribution of each possible combination. The grouping methods obtained by the calculation results are shown in Figures 10A, 10B, and 10c. The grouping results of the data represent a variety of test conditions. For example, in the A test factory, the logic circuit test of SORT2 was performed with a test program on the second test machine under the product number ρΑβΤ, and this product was provided by customer B. This is a test case. Then, each test situation has a corresponding distribution map. The data distribution of this distribution area 'mainly has the following three types: as shown in the 帛 UA diagram, the symmetrical distribution (that is, mode = median = mean)' A right-biased distribution (i.e. mode> median> mean) as shown in Figure i 1B or a left-biased distribution (i.e. mode & median & average) as shown in Figure uc, where The horizontal axis of each distribution is the test time and the vertical axis is the number of tests. "In order to obtain a standard test time, the size and representativeness of the samples need to be considered in the statistical distribution to select a reasonable representative value as a description of the data concentration trend. Indicators. Because the average is susceptible to extreme values, and the mode is not suitable for small sample spaces, and the median has a small sample space affected by extreme values, and the size of the sample space is appropriate = the invasion point 'is often used in statistics without mother numbers Analysis, furthermore, the statistical method without mothers does not need to assume that the data is normally distributed, and can be used for a small sample space _ 14 ί— 国 ^^ 2177297 Public love l · — I Ί --- ^ _ --- -! ί '' --- ίίΆ (Please read the notes on the back before filling out this page) 45271 A7 B7 Printed by the Consumers ’Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs Statistical hypothesis 'So it is suitable for automated analysis systems to obtain the distribution of test situation data, you need to consider whether the sample size is sufficient and representative', and then use the Tukey method (the application of Box Pi〇t) to remove the quarter within 1.5 times. Extreme values other than the bit distance (Inter is called ^ called e, I⑽), so that the calculation results will not cause large deviation due to the influence of extreme values. The median of the last processed data is obtained as the standard test time. Estimated value -Period (eg, -year) test time statistics 'not only can systematically estimate the standard test time of old products', but also can analyze the test time data in the analysis database based on the characteristics of the new product and the corresponding old test conditions. On the other hand, the test time statistics are regularly updated to provide the latest statistical analysis database at any time. Β The optimized capacity allocation method and the automatic standard measurement time setting method disclosed in this month Computerized and automated material implementation. The computer system used to implement the disclosed method of the present invention will be described below. The $ 12 figure is the capacity information integration system 12 disclosed by the present invention, which mainly includes: The client computer system 1 2 2. Capacity information integration system information network server 124, test plant database 126, TOM information network database M, and tom database mo. The computer system 122 on the client side is used to provide quick query of any product test Time and basic data (such as the number of machines, rate of flight / health rate and raw statistics, etc.), and can monitor the estimated workload; capacity The information integration system information network server 124 can provide the client-side 4 network system on the network to obtain the necessary information through the World Wide Web (W0UU Wide Web); test data --I ------- J -「： ------— 1 order --I ----- Λ- (Please read the notes on the back before filling this page) 15 45271 8 A7

V. Description of the invention () Library 1 2 6 is used to store test data of gi ρα * 5 * j, j time; TOM database 1 21 〇 stores relevant information of orders; TOM information network database 1 28 provides order information Relevant data is provided to the capacity information integration system information network server m. On the other hand, the system and network architecture U0 for transmitting automated standard test time data is shown in Figure 13. The database server ι32 and the time-sharing multiplexing computer system 134 are connected by the TCP / iP network communication protocol 1314, and the database server 1 32 is controlled by the time-sharing multiplexing computer system i34;

The database server 1 3 6 and the time-sharing and multiplexing computer system i 34 are connected by a SQL (Structured Query Language, SQL) network 1316, and the time-sharing and multiplexing computer system 丨 3 4 controls the plant area-the database Server 136; The database server 136 of the plant area 1 is connected to the statistical analysis feeder 138 through the SQL network 1318 to provide statistical analysis data: The database server 1310 of the plant area 2 uses the TCP / IP network communication protocol 1 320 is connected to the statistical analysis feeder 1 38 'to provide statistical analysis data: Then the statistical analysis server 138 is connected to a terminal 1312 to provide the terminal 1312 to monitor the system and network architecture of the automated standard test time data 13 〇 的 surface. The terminal 1312 is connected to the TOM information network database 128 in the capacity information integration system 120 shown in FIG. 12 via the network. The above is the network structure of the capacity information integration system and the automated standard test time data transmission system. As a result, the information of each department of the test plant was exchanged via the Internet, which provided a way to integrate capacity information. The above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the patent application of the present invention; all other equivalent changes or modifications made without departing from the spirit disclosed by the present invention shall include deprivation The application patent mentioned in this paper is applicable to 0 standard (CNS) A4 specifications (210 X 297 mm) (please read the precautions on the back before filling this page) -Installation ------- Order- ------ Λ Printed by the Consumer Property Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs 45271 8 A7 B7 V. Description of the invention () in Fan Yuan (Please read the precautions on the back before filling this page) The printed paper size is applicable to Chinese national standards (CNS> A4 size (210 X 297 mm>

Claims (1)

452718 VI. Scope of Patent Application ™ w Poor system, at least, the first database device, used for ordering | the second database device, used to store the plant: unified data; the information network receives and stores in the first database device Poor information, and through the unified data: read the total order management system-information network database device, used to store the general information network data, and the total order management system data through the information network's system; and "quote" The devices communicate with each other an information network_server device, which serves as the information, receives and stores the data outfit in the information network, and is used by the library devices to communicate the capacity information and the total order management :: the second data and the management system. Data, an electric knee terminal 'has standard input / output devices, uses, commands, and receives data stored in the information network server device, sends and the total order management system. 2'If the scope of patent application is 胄!, The above-mentioned first database device and the above-mentioned second data of the automated production capacity information integration system The device is connected by the first network. 'Its order is borrowed 3. If the automatic production capacity information of item 丨 of the patent application scope is integrated, the above-mentioned first database device and the above-mentioned information network data are placed. Is connected via a second network. J 53? 1 8 The scope of patent application is A8B8C8D8, printed by the Consumers ’Intellectual Property Bureau of the Ministry of Economic Affairs, X Consumption Company. It is connected via a third network. 5 · If the patent application park's first automated capacity information integration system, where the above information network database device and the above information network server device 'are connected via a fourth network a 6 · If the scope of the patent application The automatic capacity information integration system of item 1, wherein the above-mentioned information network server device and the above computer terminal are connected through a fifth network. The above-mentioned information network database device is further connected with a system for transmitting automatic standard test time data. The system for transmitting automatic standard test time data includes at least: a database server device for storing data; The computer system device is connected to the database server device to control the database server device; the first plant database server device is used to store the test time data of the first plant area and work with the time-sharing and multi-tasking Computer system device connection; a statistical data analysis server device 'for analyzing test time data, and Factory database server device connection; This paper size applies the national standard (CNS) A4 specification (210 X 297 mm --- ^ ---- ^ ----- Μ -------; —Order-: ---- {(Please read the precautions on the back before filling in this page) A8, ___ η -------- _ \ _, the scope of patent application '' ▲ Second obstacle The database server device is used to record the measurement of the second obstructed area. ▲ Hour 1 asset _ and connected with the statistical data analysis server device, and, the computer system has a standard input / output device, and the statistics The data analysis server device link is used to control the statistical data analysis server device and link to the information network database device. For example, the patented application Fangu 帛 7 automated capacity information consolidation system, where the above data is servo The device is connected to the above-mentioned time-sharing and multiplexing computer system device by using TCP / IP network communication protocol. 9. For example, the automatic capacity information integration system of the scope of patent application No. 7 in which the above-mentioned first plant database server device is Connect to the above time-division multiplexing computer system device through SQL network. 10. For example, the automatic capacity information integration system for item 7 in the scope of patent application, in which the above-mentioned first plant database server device is connected to the above-mentioned statistical data analysis server device through SQL network. Automated production capacity information integration system, in which the above-mentioned second plant database server device is connected with the above-mentioned statistical data analysis server device through TCP / IP network communication protocol. 1 2 · —A kind of optimization of product allocation The method of minimizing the total test time, the product configuration method includes at least the following steps: 20 This paper size is applicable to China A standard (CNS) A4 specifications (2) 0x297 mm> < Please read the note on the back first Please fill in this page again now) -t * nn al ϋ kδ ,, * nnn -4 Employee Consumer Cooperatives, Intellectual Property Bureau, Ministry of Economic Affairs, India ^^ 271 8 A8 B8 C8 Please read the back & of * Note 1 Note! Matter-I item one j then '1 fill in | tiling page 1 wt order 45271 8 A8B8C8D8 VI. Patent application scope (it read the precautions on the back before filling this page) Calculate the second discriminant value of all the non-base variables 'If the second discriminant value is greater than the basic parameter value, the distribution result obtained is the best distribution result' Otherwise, continue to find new input variables and new output variables Base variable to form a new chain reaction and redistribute the product configuration amount until the second discrimination value of the non-base variable is greater than the basic parameter value. 13_ The product allocation method according to item 12 of the scope of patent application, wherein the first discrimination value is obtained by calculating [number of columns + number of rows]. 14. The product allocation method according to item 12 of the scope of patent application, wherein the above-mentioned second discriminant value is obtained by calculating [basic variable-first discriminant value-second discriminant value] to obtain Q 15 '. Item configuration method, where the above basic parameter value is a certain value * Printed by the Intellectual Property Bureau of the Ministry of Economic Affairs, Industrial and Industrial Cooperatives. The step with the most number of columns' and setting the first parameter value of the column to the basic parameter value can be found by dragging the row with the largest number of basic variables and setting the second parameter value of the row to the basic parameter value. To replace. 17. The product configuration method according to item 12 of the scope of patent application, wherein the above-mentioned step of establishing a supply and demand table further includes the following steps: Set up a set so that the set contains a plurality of 22 that affect the test time. This paper size applies to Chinese national standards. (CNS) A4 specification (210x297 male; S > staff member Shen Shen clears the range of drought benefits; calculates the number of probabilistic test times in the set to get multiple test conditions; prime, combined to meet each Do not be formed by the plurality of test cases-a set including a plurality of test times; test time, the calculation data including the set of a plurality of test times is calculated as the "spider mother group" and the median The number is taken as the test time. SV Brother ’s standard test 18. If the product in the scope of patent application No. 17 is equipped with the set containing multiple test times as ^ *, the median of the statistical data above is As the test situation: of: the step of quasi = time, and also includes the step of removing the standard test within four times U. + data other than the distance 19. such as the scope of the patent application for item i7 Product configuration, J is among them, one of the above-mentioned multiple factors affecting the test time is a hindrance. 20. Such as winning the patent scope of item 7 of the product is equipped with 10,000 methods, of which the above-mentioned multiple of the impact of the test time One of the factors is the product number. 21. If the product configuration method of item 17 of the patent scope is requested, one of the above-mentioned factors affecting the test time is the model of the test machine. I_ 23 This paper is applicable Detainer Standard (CNS > A4 Specification (210 X 297 mm) Order A8 B8 C8 D8 Scope of patent application 22. If the product infringement method of item 17 of the scope of patent application, one of the above ten factors affecting the test time is the control program of the test machine. 2 3 '-A standard test time period setting method, which includes at least the following steps: Set a set so that the set contains a plurality of factors that affect the test time; The combination of the plurality of factors that affect the test time in the set is combined to calculate Obtain a plurality of test cases; form a set including a plurality of test times in accordance with the test time corresponding to each of the plurality of test cases; use the set including the plurality of test times as a statistical mother group, and calculate the statistical data The median is used as the standard test time for this test situation. 24_ The standard test time setting method of item 23 of the scope of patent application, wherein the above set of the plurality of test times is used as the statistical parent group and the median of the statistical data is calculated as the standard test for the test situation The step of time also includes the step of removing data outside the interquartile range of 1.5 times. 25. If the standard test time setting method of item 23 of the scope of patent application, one of the above-mentioned factors affecting the test time is the factory type. 24 This paper size applies Chinese National Standard (CNS) A4 specifications (210 X 297 male «> (Please read the notes on the back before filling out this page)-Installed by the Intellectual Property Bureau of the Ministry of Economic Affairs, Consumer Cooperation, printed 8888 ABCD and 52 7ί 8. The scope of patent application 26. For the standard test time setting method of item 23 of the scope of patent application, one of the above factors affecting the test time is the product number. 27. The standard of scope 23 of the patent application The test time setting method, in which one of the above-mentioned factors affecting the test time is the model of the test machine. 28. For the standard test time setting method in the scope of the patent application No. 23, among the above-mentioned multiple factors that affect the test time One is the control program of the test machine. (Please read the precautions on the back before filling out this page) Printed by the Consumer Cooperatives of the Intellectual Property Bureau of the Ministry of Economy 25 This paper size is applicable to China National Standard (CNS) A4 (210 * 297) Mm)