Decision configuration method and device of wafer dispatching system, medium and product

Abstract

The embodiment of the invention relates to the technical field of wafer manufacturing management, and discloses a decision configuration method and device for a wafer dispatching system, a medium and a product. The method comprises the following steps: analyzing condition attributes in a service scene, a rule combination of the condition attributes and a value logic of a matching target; defining a condition column for condition attributes of a decision table according to the service scene; defining a matching rule of a decision table according to the rule combination of the condition attributes; defining a result column according to the value logic of the matching target; the dispatch is used for converting decision table information configured at the front end into an expression for execution; configuring a plurality of decision tables according to the service logic of a service scene; and calculating a comprehensive score based on the result column of each decision table. The problem that a wafer dispatching system is complex in configuration can be at least solved.

Description

Technical Field

[0001] The present application relates to the field of wafer manufacturing management technology, and in particular to a decision-making configuration method, equipment, medium and product of a wafer dispatching system. Background Art

[0002] The wafer fab dispatching system plays a key role in production management. Its main function is to reasonably arrange production tasks according to the wafer production demand and current production status. However, the existing dispatching system has some problems when dealing with the following business scenarios:

[0003] During the wafer production process, it is necessary to match the corresponding target results according to multiple attribute values ​​of the wafer (such as production date, product name, production machine, required production capacity and product type, etc.). For example, to determine the production target of a batch of wafers on a specific date, if the production progress of the batch lags behind the target progress, it is necessary to prioritize the production. These matching processes usually require complex SQL queries or special code implementations. It is difficult for ordinary business personnel to understand and modify these configurations, resulting in cumbersome and error-prone configuration and adjustment processes.

[0004] In the wafer production scheduling process, it is also necessary to calculate a comprehensive score based on multiple attribute values ​​to determine the priority of production tasks. For example, scores are given based on multiple indicators such as the urgency of wafer delivery and production capacity, and priority is sorted based on the comprehensive score. In traditional methods, these scoring logics are usually implemented by writing complex codes. When the business logic changes, it needs to rely on technical personnel to modify it. It is difficult for ordinary business personnel to participate, which reduces the flexibility and maintainability of the system. Summary of the invention

[0005] One purpose of the present application is to provide a decision-making configuration method, device, medium and product for a wafer dispatch system, at least to solve the problem of complex configuration of existing wafer dispatch systems.

[0006] To achieve the above objectives, some embodiments of the present application provide the following aspects:

[0007] In the first aspect, some embodiments of the present application also provide a decision configuration method for a wafer dispatching system, including analyzing conditional attributes, rule combinations of conditional attributes, and value logic of matching targets in business scenarios; defining condition columns for the conditional attributes of a decision table according to the business scenarios; defining matching rules for the decision table according to the rule combinations of the conditional attributes; defining result columns according to the value logic of the matching targets; converting the decision table information configured in the front end into expressions for execution during dispatching; configuring multiple decision tables according to the business logic of the business scenarios; and calculating a comprehensive score based on the result columns of each decision table.

[0008] In a second aspect, some embodiments of the present application further provide an electronic device, comprising: one or more processors; and a memory storing computer program instructions, wherein the computer program instructions, when executed, cause the processor to perform the steps of the method described above.

[0009] In a third aspect, some embodiments of the present application further provide a computer-readable medium having computer program instructions stored thereon, wherein the computer program instructions can be executed by a processor to implement the method as described above.

[0010] In a fourth aspect, some embodiments of the present application further provide a computer program product, comprising a computer program / instruction, which implements the steps of the method described above when executed by a processor.

[0011] Compared with related technologies, the solution provided in the embodiment of the present application is designed in the form of a decision table according to the scenario of matching the target result with the wafer-specific value, which intuitively restores the business logic. Even in the scenario of complex calculation of comprehensive scores, business personnel only need to configure multiple decision tables. This processing method reduces the threshold for configuring business rules. Even ordinary business personnel can understand and modify the dispatching logic in a timely manner, simplify the process of rule modification, improve the efficiency of dispatching rule configuration, and create economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0013] Figure 1 A flowchart of a decision configuration method for a wafer dispatch system provided according to an embodiment of the present application;

[0014] Figure 2 A schematic diagram of a criticalRatioCategory decision table configuration page provided according to an embodiment of the present application;

[0015] Figure 3 A flowchart of a decision table execution logic provided according to an embodiment of the present application;

[0016] Figure 4 A schematic diagram of a comprehensive scorecard configuration page provided according to an embodiment of the present application;

[0017] Figure 5 The present invention is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] First embodiment

[0020] The first embodiment of the present application relates to a decision configuration method for a wafer dispatch system. Figure 1 As shown, the method may include the following steps:

[0021] S101, analyzing condition attributes in the business scenario, rule combinations of condition attributes, and value logic of matching targets;

[0022] S102, defining a condition column based on the condition attributes of the decision table according to the business scenario; defining a matching rule of the decision table according to the rule combination of the condition attributes; and defining a result column according to the value logic of the matching target;

[0023] S103, converting the decision table information configured in the front end into expression execution when dispatching work;

[0024] S104, configuring a plurality of decision tables according to the business logic of the business scenario; and calculating a comprehensive score based on the result columns of each decision table.

[0025] By analyzing the various condition attributes and rule combinations in the business scenario in detail, we ensure that the system can accurately capture business needs and provide accurate matching results. By defining the condition attributes and matching rules as condition columns and result columns in a table format, the business rule configuration is intuitive and clear. Business personnel can more easily understand and configure business rules through decision tables, which improves configuration efficiency and reduces configuration errors. The decision table information configured in the front end can be converted into expressions and executed, reducing manual intervention and coding requirements. Through automated processing, the error rate in the configuration and execution process is reduced, and the stability and reliability of the system are improved. By configuring multiple decision tables, it is possible to flexibly respond to complex business scenarios. The calculation of the comprehensive score is based on the result columns of each decision table, making the scoring process transparent and controllable. Business personnel can adjust the weights and rules of each decision table as needed, so as to accurately control the comprehensive score and optimize the dispatch decision.

[0026] It is not difficult to find that the configuration of business rules in the embodiment of the present application is intuitively presented in tabular form, which reduces the coding requirements and enables ordinary business personnel to participate in configuration and adjustment; it can flexibly respond to changes in business logic and quickly respond to changes in business needs by adjusting decision tables and comprehensive scorecards; the automated expression conversion and execution process reduces human errors and improves system reliability; the optimized dispatching decisions improve the production efficiency of the wafer fab, reduce production delays and waste of resources, and bring significant economic benefits.

[0027] Second embodiment

[0028] The second embodiment of the present application relates to a decision configuration method for a wafer dispatch system. The second implementation is an improvement on the first embodiment, and the specific improvements are:

[0029] According to one or more conditional attributes of the wafer, the target result is matched, and the decision table is used in the dispatch system to achieve the calculation target. The implementation scheme is as follows: analyze the conditional attributes in the business scenario, the rule combination of the conditional attributes, and the value logic of the matching target; define the conditional attribute field of the decision table as the condition column of the decision table according to the business scenario, input the matching rule according to the rule combination of the conditional attributes, and define the result column of the decision table according to the target value logic in the business scenario; to meet flexible business scenarios, the character type condition column supports wildcard writing, and the symbol is *; in the business scenario where rules are managed through CSV, the decision table can be directly imported for dispatching;

[0030] When dispatching, the information configured on the page is automatically converted into expressions for execution. The execution logic is as follows: the program generates a conditional expression array and a result expression array based on the decision table information configured on the page; the program obtains the value of the conditional field; the conditional expression array is executed one by one according to the value of the conditional field; when the conditional expression is calculated to be true, the execution is stopped and the sequence number of the expression in the conditional expression array is recorded. The expression with the corresponding sequence number in the result expression array is executed; when the conditional expression is calculated to be false, the default value defined in the business is directly returned.

[0031] A comprehensive score is calculated based on multiple attributes of the wafer. In the dispatch system, a comprehensive score card can be used for visual configuration. The implementation plan is as follows: sort out each scoring item based on business logic, and configure the corresponding decision table and weight; select the comprehensive score calculation method based on weighted accumulation or a custom calculation formula; when dispatching, the page configuration information is automatically converted into system execution logic for operation; each scoring item is executed according to the decision table calculation logic; when the comprehensive score calculation method is weighted accumulation, it is calculated by weighted accumulation, and when it is set to a custom formula, it is calculated according to the formula.

[0032] It is not difficult to find that in the embodiment of the present application, wildcard writing and CSV file import are supported, making condition matching and rule management more flexible and adapting to the needs of different business scenarios; by automatically generating expression arrays and automatic execution, the configuration and execution efficiency is improved, and manual intervention and manual input errors are reduced; the page configuration information is automatically converted into expression execution to ensure the accuracy and consistency of the condition matching and comprehensive score calculation process; a flexible comprehensive score calculation method is provided to meet the needs of different business scenarios and enhance the adaptability of the wafer dispatch system; the configuration and adjustment process of business rules is simplified so that ordinary business personnel can also participate in the configuration and adjustment, thereby improving the ease of use of the system.

[0033] Third embodiment

[0034] The third embodiment of the present application relates to a decision configuration method for a wafer dispatch system. The third implementation method is an improvement on the first embodiment, and the specific improvements are:

[0035] For the business scenario moveTarget (wafer production target), there is a demand scenario for obtaining the production target in the dispatching logic. If the production progress of the wafer batch lags behind the production target progress, priority dispatching is required, and vice versa. This value is obtained based on multiple conditional attributes of the wafer.

[0036] As shown in Table 1: The wafer batch has unique ID information. The specific attributes of the wafer batch are obtained through the ID of the wafer batch. The attributes required in the current scenario include the current date (target_date), product name (product), production machine (stage), required production capacity (capability), and product type (product_type). The matching results corresponding to the different value combinations of these attributes are the production targets (target24).

[0037] target_date Product stage capability product_type target24 2024 / 6 / 15 PRODUCT_A CMP01 CAPA0006 Z 200 2024 / 6 / 15 PRODUCT_A CMP01 CAPA0006 O 50 2024 / 6 / 15 PRODUCT_A ETCH01 CAPA0016 Z 100 2024 / 6 / 15 PRODUCT_A ETCH01 CAPA0016 O 50 2024 / 6 / 15 PRODUCT_A ETCH01 CAPA0016 N 100 2024 / 6 / 15 PRODUCT_A ETCH01 CAPA0016 N 250 2024 / 6 / 15 PRODUCT_A LITHO01 CAPA0011 Z 100 2024 / 6 / 15 PRODUCT_A LITHO01 CAPA0011 O 100 2024 / 6 / 15 PRODUCT_A RTP01 CAPA0036 O 50 2024 / 6 / 15 PRODUCT_A RTP01 CAPA0036 T 100 2024 / 6 / 15 * RTP* CAPA0036 N 100

[0038] Table 1: moveTarget configuration table

[0039] Assume that the current date is June 15, 2024, the product name (product) of wafer batch lot001 is PRODUCT_A, the production machine (stage) is CMP01, the required production capacity (capability) is CAPA0006, and the product type (product_type) is Z, then its production target (target24) is 200. The business moveTarget configuration table can be directly imported into the decision table in csv format, and the work can be assigned according to the content of this table.

[0040] It should be noted that the third embodiment of the present application may also be an improvement based on the second embodiment.

[0041] It is not difficult to find that in the embodiment of the present application, the moveTarget (wafer production target) in the business scenario is optimized, and the configuration efficiency and accuracy of the dispatch system are improved through flexible decision table configuration and CSV file import method. Specifically, multiple conditional attributes (such as current date, product name, production machine, production capacity and product type) of wafer batches are analyzed and defined, and these conditional attributes are flexibly matched in a wildcard manner, so that the system can accurately determine the production target. In addition, it supports business personnel to directly import rules through CSV files, simplifies the configuration process, and reduces manual input errors. The system automatically converts the front-end configuration information into expression execution, ensures the accuracy and consistency of condition matching and comprehensive score calculation, and improves execution efficiency and system stability.

[0042] Fourth embodiment

[0043] The fourth embodiment of the present application relates to a decision configuration method for a wafer dispatch system. The fourth implementation is an improvement on the first embodiment, and the specific improvements are:

[0044] For the business scenario criticalRatioCategory (wafer delivery urgency category), analyze the business scenario and divide criticalRatioCategory according to different values ​​of criticalRatio (wafer delivery urgency), that is, criticalRatio is the attribute condition field, and criticalRatioCategory is the result field. Different criticalRatio value ranges correspond to different criticalRatioCategories. Configure the decision table in the dispatch system according to the business rules, add a condition column and select criticalRatio as the column name.

[0045] like Figure 2As shown, configure it on the criticalRatioCategory decision table configuration page; enter the value range according to the actual business scenario, that is, <0.6, [0.6, 0.8), [0.8, 1.2), and enter the result value corresponding to the corresponding interval in the result column criticalRatioCategory. If it is not in the above range, return the default value 4. The criticalRatioCategory scenario does not have a character type. For the moveTarget scenario, product and stage can support fuzzy matching. For example, the Stage value is RTP*, which means that as long as the value starts with RTD, the condition is met. For scenarios such as moveTarget with a large number of condition columns and rows, you can directly click the upload button on the page to import a business table in CSV or Excel format to generate a decision table.

[0046] The decision table execution logic is as follows Figure 3 As shown, two expressions in array form are generated according to the front-end configuration information, which can be defined as a condition expression array and a result expression array; the value of the condition field is obtained, and the condition expression is traversed according to the value of the condition field;

[0047] Determine whether the conditional expression is executed correctly: When the conditional expression is executed correctly, record the sequence number of the conditional expression in the conditional expression array, execute the result expression with the corresponding sequence number in the result expression array, and the value of the result expression execution is the final value of the decision table; when all conditional expressions are executed incorrectly, the default value configured in the decision table is the final value of the decision table.

[0048] For example, when dispatching, the information configured on the page is automatically converted into expressions for execution. Assuming that the criticalRatio value of the current wafer is 0.2, the execution logic is as follows. The program generates a conditional expression array and a result expression array based on the decision table information configured on the page. For reference, see:

[0049] Conditional expression array:

[0050] [{criticalRatio<0.6},{0.6<=criticalRatio<0.8},{0.8<=criticalRatio<1.2}]

[0051] Resulting expression array:

[0052] [1,2,3]

[0053] When the criticalRatio value is 0.2, 0.2 is brought into the conditional expression array for execution. Serial number 1 is executed as True, and the expression with serial number 1 in the execution result expression array is constant 1, which can be directly output.

[0054] It is not difficult to find that in the embodiments of the present application, by analyzing the business scenarios and accurately defining the condition attributes and result attributes, the accuracy of the configuration and the precision of the execution are improved; fuzzy matching and CSV / Excel file import are supported to adapt to different business scenarios and complex conditions, and the flexibility and adaptability of the system are enhanced; the front-end configuration information is automatically converted into expression execution, which reduces the risk of manual intervention and errors, and improves execution efficiency and system stability; the configuration and execution processes are simplified, so that business personnel can easily manage and maintain decision rules, reducing dependence on technical personnel.

[0055] Fifth embodiment

[0056] The fifth embodiment of the present application relates to a decision configuration method for a wafer dispatch system. The fourth implementation mode is an improvement on the first embodiment, and the specific improvements are:

[0057] The comprehensive score is calculated based on the result columns of each decision table to obtain a comprehensive score card. The comprehensive score card is suitable for scenarios where the scores are matched according to multiple attribute values ​​of a lot and the comprehensive score is finally calculated. For ease of understanding, the following simplified case is used for explanation. Figure 4 As shown in the figure, the dispatching process needs to calculate the comprehensive score based on the values ​​of wafer attributes A, B, and C, and assign weights to each of them. Based on the business logic, the scoring items are sorted out, namely A_Score, B_Score, and C_Score. One decision table is set for each scoring item. The current business needs to configure three scoring cards:

[0058] The scoring logic of attribute A is as follows, with a weight of 1000, as shown in Table 2:

[0059] A A_Score <0.6 4 [0.6,0.8) 3 [0.8,1.2) 2 >＝1.2 1

[0060] Table 2: A attribute scoring table.

[0061] The scoring logic of attribute B is as follows, with a weight of 800, as shown in Table 3:

[0062] B B_Score True 2 False 1

[0063] Table 3: B attribute scoring table.

[0064] The scoring logic of attribute C is as follows, with a weight of 600, as shown in Table 4:

[0065] C C_Score Bullet 3 Hot 2 Normal 1

[0066] Table 4: C attribute scoring table.

[0067] When configuring, choose the weighted accumulation method to calculate the comprehensive score; when dispatching, automatically convert the page configuration information into system logic for execution; the score calculation logic of each scoring item refers to the decision table logic and is no longer repeated; the final values ​​of the above scoring items are comprehensively accumulated. Assuming that the value of wafer indicator A is 0.2, the value of B is True, and the value of C is Bullet, the final score is: 4*1000+2*800+3*600=7400.

[0068] Calculating a comprehensive score based on the result columns of each decision table can accurately reflect the impact of multiple wafer attributes on dispatch decisions; the comprehensive score card can accurately calculate the comprehensive score of each wafer batch, thereby optimizing dispatch decisions; by assigning different weights to attributes A, B, and C, the system can more scientifically evaluate the priority of each wafer batch, and can flexibly adjust according to actual business needs, thereby improving the rationality and scientificity of dispatch decisions; using decision tables to configure scoring logic makes the configuration and execution of complex scoring scenarios easier, and business personnel can intuitively set the scoring logic for each attribute by configuring decision tables, reducing the need for manual coding and improving the ease of use of the dispatch system; when dispatching is executed, the page configuration information is automatically converted into execution logic, the scoring calculation of each scoring item is completed, and a comprehensive accumulation is performed.

[0069] It is not difficult to find that in the embodiment of the present application, the comprehensive scoring card can flexibly adapt to the needs of different business scenarios. By adjusting the scoring items and weights, the dispatching system can quickly respond to business changes and ensure the timeliness and effectiveness of dispatching decisions. The automated scoring calculation and comprehensive accumulation process ensures stability and reliability when dealing with complex dispatching decisions, reduces the uncertainty caused by human intervention, and improves the overall performance of the system. By optimizing dispatching decisions, the production efficiency of the wafer fab is improved, production delays and resource waste are reduced, and significant economic benefits are brought. Scientific and reasonable dispatching decisions can maximize the utilization of production resources and improve the overall benefits of the wafer fab.

[0070] The step division of the above methods is only for the purpose of clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0071] Sixth embodiment

[0072] The third embodiment of the present application relates to a wafer dispatching system / device, including:

[0073] Business analysis module, used to analyze the condition attributes in business scenarios, the rule combination of condition attributes, and the value logic of matching targets;

[0074] A policy management module, used to define condition columns based on the condition attributes of the decision table according to the business scenario; define matching rules of the decision table according to the rule combination of the condition attributes; and define result columns according to the value logic of the matching target;

[0075] The execution module is used to convert the decision table information configured in the front end into expressions for execution when dispatching work;

[0076] The comprehensive scoring module is used to configure multiple decision tables according to the business logic of the business scenario; and calculate the comprehensive score based on the result column of each decision table.

[0077] It is not difficult to find that this embodiment is a system embodiment corresponding to the first embodiment, and this embodiment can be implemented in conjunction with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the first embodiment.

[0078] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0079] In addition, some embodiments of the present application also provide an electronic device. The electronic device may be a digital computer in various forms, such as a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, etc. The electronic device may also be a mobile device in various forms, such as a personal digital processing, a cellular phone, a smart phone, a wearable device, and other similar computing devices.

[0080] The electronic device includes: one or more processors; and a memory storing computer program instructions, wherein when the computer program instructions are executed, the processor executes the steps of the method provided in any one or more of the above embodiments. Figure 5 An exemplary structural diagram of the electronic device is disclosed. Figure 5As shown, the electronic device includes: one or more processors 1101, memory 1102, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some other embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Among them, the components shown in this article, their connections and relationships, and their functions are only used as examples, and are not intended to limit the implementation of the present application described and / or required herein.

[0081] The electronic device may further include: an input device 1103 and an output device 1104. The processor 1101, the memory 1102, the input device 1103 and the output device 1104 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0082] The input device 1103 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick and other input devices. The output device 1104 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display and a plasma display. In some embodiments, the display device may be a touch screen.

[0083] To provide interaction with a user, the electronic device may be a computer. The computer has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0084] In the embodiments of the present application, a computer program / instruction is stored on a computer-readable medium, and when the computer program / instruction is executed by a processor, the steps of the method provided by any one or more of the above embodiments are implemented. The computer-readable medium may be included in the electronic device described in the above embodiments; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more computer-readable instructions.

[0085] The memory 1102 can be used as a non-transient computer-readable storage medium, which can be used to store non-transient software programs, non-transient computer executable programs and modules. The processor 1101 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 1102, so as to implement the program instructions / modules corresponding to the method provided by any one or more embodiments in the embodiments of the present application.

[0086] The memory 1102 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 1102 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 1102 may optionally include a memory remotely arranged relative to the processor 1101, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0087] It should be noted that the computer-readable medium described in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0088] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, modules of programs or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0089] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0090] In the above-described embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. For example, it can be implemented by using an application specific integrated circuit (ASIC), a general-purpose computer or any other similar hardware device. In certain embodiments, the software program of the present application can be executed by a processor to implement the above steps or functions. Similarly, the software program of the present application (including relevant data structures) can be stored in a computer-readable recording medium, for example, a RAM memory, a magnetic or optical drive or a floppy disk and similar devices. In addition, some steps or functions of the present application can be implemented by hardware, for example, as a circuit that cooperates with a processor to perform each step or function.

[0091] The computer program product provided in the embodiment of the present application includes one or more computer programs / instructions, and when the computer program / instructions are executed by the processor, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0092] The flow chart or block diagram in the accompanying drawings shows the possible architecture, function and operation of the equipment, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated system for hardware that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0093] The scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes that fall within the meaning and scope of the equivalent elements of the claims are included in the present application. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claim may also be implemented by one unit or device through software or hardware. The words "first", "second", etc. are only used to distinguish the description, and do not indicate any particular order, nor can they be understood as indicating or implying relative importance.

[0094] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily mention changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims, and the above embodiments should be regarded as exemplary and non-restrictive.

Claims

1. A decision configuration method for a wafer dispatch system, characterized in that: The method comprises: Analyze the conditional attributes in business scenarios, the rule combination of conditional attributes, and the value logic of matching targets; According to the business scenario, the condition attributes of the decision table are defined as condition columns; according to the rule combination of the condition attributes, the matching rules of the decision table are defined; according to the value logic of the matching target, the result columns are defined; When dispatching work, the decision table information configured on the front end is converted into expressions for execution; According to the business logic of the business scenario, multiple decision tables are configured; and a comprehensive score is calculated based on the result column of each decision table.

2. The method according to claim 1, characterized in that The decision table information configured in the front end is converted into an expression for execution during the dispatching process, including: Generate a conditional expression array and a result expression array according to the decision table information configured by the front end; Obtaining the conditional values ​​of the conditional column, and executing the conditional expressions in the conditional expression array one by one according to the conditional values; When the conditional expression is executed correctly, stop executing and record the sequence number of the conditional expression in the conditional expression array; execute the result expression corresponding to the sequence number in the result expression; When all the conditional expressions fail to execute correctly, the predefined default values ​​are directly returned.

3. The method according to claim 2, characterized in that The calculating of the comprehensive score based on the result columns of each decision table comprises: The comprehensive score is calculated based on a weighted accumulation method, or by a user-defined scoring formula.

4. The method according to any one of claims 1 to 3, characterized in that: The business scenarios include: wafer delivery urgency categories and wafer production targets.

5. The method according to claim 4, characterized in that The business scenarios of wafer delivery urgency category include: Dispatching work according to the wafer delivery urgency category; The wafer delivery urgency is used as the condition attribute; the value logic of the matching target is the remaining delivery time / remaining production time of the current wafer batch, and the value of the wafer delivery urgency is obtained; The wafer delivery urgency categories are divided according to the value range of the wafer delivery urgency.

6. The method according to claim 4, characterized in that The wafer production goals include: Dispatching work according to the wafer production target; The current date, product name, production machine, required productivity and product type are used as the conditional attributes; the value of the wafer production target is obtained according to the rule combination of the conditional attributes and the value logic of the matching target.

7. The method according to claim 4, characterized in that The method further comprises: The decision table information is imported into the decision table through the business table managed in csv format.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors; and A memory storing computer program instructions, which, when executed, cause the processor to perform the steps of the method as claimed in any one of claims 1 to 7.

9. A computer readable medium having a computer program / instructions stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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