CN118131707A - Automatic batch delivery method, system and readable storage medium - Google Patents
Automatic batch delivery method, system and readable storage medium Download PDFInfo
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- CN118131707A CN118131707A CN202410231474.0A CN202410231474A CN118131707A CN 118131707 A CN118131707 A CN 118131707A CN 202410231474 A CN202410231474 A CN 202410231474A CN 118131707 A CN118131707 A CN 118131707A
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- 238000003860 storage Methods 0.000 title claims abstract description 23
- 238000002716 delivery method Methods 0.000 title claims description 6
- 238000004519 manufacturing process Methods 0.000 claims abstract description 46
- 238000000034 method Methods 0.000 claims abstract description 35
- 238000010923 batch production Methods 0.000 claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 17
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- 230000007774 longterm Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 239000004065 semiconductor Substances 0.000 abstract description 3
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- 238000010586 diagram Methods 0.000 description 6
- 238000007599 discharging Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 5
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention relates to the technical field of semiconductor manufacturing, in particular to a method, a system and a readable storage medium for automatic batch production, wherein the method comprises the following steps: maintaining and splitting the newly added order; constructing a correlation model among an order delivery period, a product production period and bottleneck machine productivity, setting constraint conditions, and calculating an optimal product input combination and a piece-throwing plan of the newly added order; and monitoring the product in real time according to the calculated optimal product investment combination and the projection planning, and judging whether the product running condition accords with the plan. The optimal product input combination and the sheet throwing planning of the newly added order are intelligently calculated through the establishment of the association model among the order exchange period, the product production period and the bottleneck machine yield, so that the production line efficiency can be improved, the load of engineers can be reduced, the feeding accuracy can be improved, and the manual operation risk can be reduced.
Description
Technical Field
The present invention relates to the field of semiconductor manufacturing technologies, and in particular, to a method and a system for automatic batch production, and a readable storage medium.
Background
At present, in a wafer manufacturing factory, the existing material feeding and production planning mainly depends on manual operation of engineers, an order of a split customer is required to be manually maintained according to actual needs, then the order is manually arranged according to a specific strategy, the main material feeding strategy research is divided into two strategies, namely 'material feeding according to a material feeding table' and 'material feeding based on time intervals', which are relatively simple and easy to implement, but excessively depend on subjective judgment of engineers, and lack of call for a production line, and judgment in the process of modifying the production plan is too simple, and rationality of remaining order arrangement is not considered. The existing feeding strategy is excessively dependent on manual operation, is low in efficiency and is easy to have operation risks.
Disclosure of Invention
The invention aims to provide a feeding automatic scheduling method, a feeding automatic scheduling system and a readable storage medium, which can automatically calculate the optimal product feeding combination and the feeding planning of a newly added order, improve the efficiency of a production line, reduce the load of engineers, improve the feeding accuracy and reduce the risk of manual operation.
In order to achieve the above purpose, the invention provides an automatic batch production method, which comprises the following steps:
Maintaining and splitting the newly added order;
constructing a correlation model among an order delivery period, a product production period and bottleneck machine productivity, setting constraint conditions, and calculating an optimal product input combination and a piece-throwing plan of the newly added order;
and monitoring the product in real time according to the calculated optimal product investment combination and the projection planning, and judging whether the product running condition accords with the plan.
Optionally, when maintaining and splitting the newly added order, the newly added order is automatically split into a set format by judging the required date and the required quantity of the newly added order.
Optionally, the step of calculating the optimal product investment combination of the newly added order and the projection planning specifically includes:
Constructing a judging rule, comparing the newly-increased order situation with the actual capacity of the production line, judging that the order is deficient if the actual capacity of the production line is far greater than the newly-increased order situation, and judging that the order is sufficient if the actual capacity of the production line cannot meet the newly-increased order situation;
And constructing a feeding logic, determining a daily feeding upper limit of the newly added order according to the order condition, and determining an optimal product feeding combination and a sheet feeding plan based on the daily feeding upper limit.
Optionally, the step of determining the daily upper limit of the newly added order according to the order condition specifically includes:
Under the condition of deficient orders, calculating a daily upper limit of each process platform which fully utilizes the productivity according to the current year main production plan and the productivity, and taking the daily upper limit of each process platform as the daily upper limit of the newly added orders;
Under the condition that the orders are sufficient, counting the total order situation and subdividing the total order situation into each process platform, and taking the process platform as a unit to divide the total order equally to calculate the daily upper feeding limit of the newly added order.
Optionally, the step of determining the optimal product input combination and the tablet throwing plan based on the daily upper feed limit specifically includes:
Dividing the products in the newly added order into bulk products and small bulk products, wherein the bulk products are continuously input products according to the long-term of the monthly demand order, and the small bulk products are delivered at the determined time on the appointed demand date;
Filling the daily upper feeding limit of the small product in sequence according to the time priority before the appointed demand date;
based on the daily upper limit of feeding, dividing the bulk products by taking production batches as units, and sequentially giving different priorities according to different time requirements.
Optionally, when there is a situation that the product order cannot be delivered on time, the product order with low risk of default is adjusted to preferentially satisfy the product order requirement with high priority.
Optionally, when the new order is modified halfway, the rest part of the new order is re-planned based on the association model in combination with the investment that the production line has completed for fixing the product.
Optionally, warning and readjusting the product input combination and the film casting plan are performed when the product running situation falls behind the expected one.
Based on the same technical conception, the invention also provides an automatic feeding and discharging system, which performs feeding and discharging according to the automatic feeding and discharging method, comprising the following steps:
The maintenance module is configured to maintain and split the newly added order;
the feeding planning module is configured to construct a correlation model among an order delivery period, a product production period and bottleneck machine productivity, set constraint conditions and calculate the optimal product feeding combination and the feeding planning of the newly added order;
And the monitoring module is configured to monitor the product in real time according to the calculated optimal product investment combination and the projection plan and judge whether the product running condition accords with the plan.
Based on the same technical concept, the invention also provides a readable storage medium, on which a computer program is stored, which when executed can implement the automatic batch production method as described above.
According to the automatic feeding and scheduling method, system and readable storage medium provided by the invention, the optimal product feeding combination and the feeding planning of the newly added order are intelligently calculated by establishing the association model among the order delivery period, the product production period and the bottleneck machine productivity, so that the production line efficiency can be improved, the load of engineers can be reduced, the feeding accuracy can be improved, and the manual operation risk can be reduced.
Drawings
Those of ordinary skill in the art will appreciate that the figures are provided for a better understanding of the present invention and do not constitute any limitation on the scope of the present invention. Wherein:
fig. 1 is a flowchart of a method for automatic batch delivery according to an embodiment of the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the specific embodiments thereof in order to make the objects, advantages and features of the invention more apparent. It should be noted that the drawings are in a very simplified form and are all to a non-precise scale, merely for the purpose of facilitating and clearly aiding in the description of embodiments of the invention. For a better understanding of the invention with objects, features and advantages, refer to the drawings. It should be understood that the structures, proportions, sizes, etc. shown in the drawings are shown only in connection with the present disclosure for the understanding and reading of the present disclosure, and are not intended to limit the scope of the invention, which is defined by the appended claims, and any structural modifications, proportional changes, or dimensional adjustments, which may be made by the present disclosure, should fall within the scope of the present disclosure under the same or similar circumstances as the effects and objectives attained by the present invention.
As used in this disclosure, the singular forms "a," "an," and "the" include plural referents unless the content clearly dictates otherwise. As used in this disclosure, the term "or" is generally employed in its sense including "and/or" unless the content clearly dictates otherwise. As used in this disclosure, the term "plurality" is generally employed in its sense including "at least one" unless the content clearly dictates otherwise. As used in this disclosure, the term "at least two" is generally employed in its sense including "two or more", unless the content clearly dictates otherwise. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third" may include one or at least two such features, either explicitly or implicitly.
In the description of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "secured" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1, an embodiment of the present invention provides a method for automatic batch production, which includes the following steps:
S1, maintaining and splitting newly added orders;
S2, constructing a correlation model among an order delivery period, a product production period and bottleneck machine productivity, setting constraint conditions, and calculating an optimal product investment combination and a piece throwing plan of the newly added order;
and S3, monitoring the product in real time according to the calculated optimal product investment combination and the projection planning, and judging whether the product running condition accords with the planning.
The optimal product input combination and the sheet throwing planning of the newly added order are intelligently calculated by establishing a correlation model among the order delivery period, the product production period and the bottleneck machine yield, so that the production line efficiency can be improved, the load of engineers can be reduced, the feeding accuracy can be improved, and the manual operation risk can be reduced.
Firstly, executing S1, maintaining and splitting the newly added order, and providing data support for the subsequent feeding planning. In this embodiment, maintaining the newly added order includes maintaining the process platform, quantity, date of demand, and other attribute data of the product, and then performing unified processing.
Preferably, when the newly added order is maintained and split, the newly added order is automatically split into a set format by judging the required date and the required quantity of the newly added order, which is equivalent to preprocessing the newly added order, so that the feeding planning is convenient.
In this embodiment, when the newly added order is maintained, the products in the newly added order are divided into bulk products and small products, wherein the bulk products are continuously input products according to the long term of the monthly demand order, and the small products are delivered at a determined time by a specified demand date.
And S2, constructing a correlation model among the order delivery period, the product production period and the bottleneck machine productivity, setting constraint conditions, and calculating the optimal product investment combination and the film casting plan of the newly added order.
In this embodiment, the constraint conditions include, but are not limited to, order delivery period, production cycle, machine capacity, etc.
In this embodiment, the step of calculating the optimal product input combination of the newly added order and the projection plan specifically includes:
Constructing a judging rule, comparing the newly-increased order situation with the actual capacity of the production line, judging that the order is deficient if the actual capacity of the production line is far greater than the newly-increased order situation, and judging that the order is sufficient if the actual capacity of the production line cannot meet the newly-increased order situation;
and constructing a feeding logic, determining a daily feeding upper limit of the newly added order according to the order condition (sufficient or deficient order), and determining an optimal product feeding combination and a sheet feeding plan based on the daily feeding upper limit.
Further, the step of determining the daily upper limit of the newly added order according to the order condition specifically includes:
Under the condition of deficient orders, calculating a daily upper limit of each process platform which fully utilizes the productivity according to the current year main production plan and the productivity, and taking the daily upper limit of each process platform as the daily upper limit of the newly added orders;
Under the condition that the orders are sufficient, counting the total order situation and subdividing the total order situation into each process platform, and taking the process platform as a unit to divide the total order equally to calculate the daily upper feeding limit of the newly added order.
Further, the step of determining an optimal product input combination and a tablet-casting plan based on the daily upper feed limit specifically includes:
Dividing the products in the newly added order into bulk products and small bulk products, wherein the bulk products are continuously input products according to the long-term of the monthly demand order, and the small bulk products are delivered at the determined time on the appointed demand date;
Filling the daily upper feeding limit of the small product in sequence according to the time priority before the appointed demand date;
based on the daily upper limit of feeding, dividing the bulk products by taking production batches as units, and sequentially giving different priorities according to different time requirements.
Preferably, when there is a situation in which the product order cannot be delivered on time, the product order with low risk of default is adjusted to preferentially satisfy the product order demand with high priority.
Preferably, capacity control is performed for a special machine on a production line, and capacity weekly operation amount control is performed for a fixed process.
Preferably, when the new order is modified halfway, the rest part of the new order is re-planned based on the association model in combination with the investment that the production line has completed for fixing the product.
And finally, executing S3, monitoring the product in real time according to the calculated optimal product input combination and the projection planning, judging whether the product running condition accords with the planning, and simultaneously displaying the product running condition of the product by combining the production line correlation data. And when the product running situation is behind the expected situation, warning and readjusting the product investment combination and the projection planning are carried out.
Based on the same inventive concept, the embodiment of the invention also provides an automatic feeding and discharging system, which performs feeding and discharging according to the automatic feeding and discharging method, comprising the following steps:
The maintenance module is configured to maintain and split the newly added order;
the feeding planning module is configured to construct a correlation model among an order delivery period, a product production period and bottleneck machine productivity, set constraint conditions and calculate the optimal product feeding combination and the feeding planning of the newly added order;
And the monitoring module is configured to monitor the product in real time according to the calculated optimal product investment combination and the projection plan and judge whether the product running condition accords with the plan.
Based on the same inventive concept, the embodiment of the invention also provides a readable storage medium, on which a computer program is stored, which can realize the automatic batch production method when being executed.
The readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device, such as, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the preceding. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer program described herein may be downloaded from a readable storage medium to a respective computing/processing device or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives the computer program from the network and forwards the computer program for storage in a readable storage medium in the respective computing/processing device. Computer programs for performing the operations of the present invention can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as SMALLTALK, C ++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer program may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuits, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for a computer program, which can execute computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, systems, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer programs. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the programs, when executed by the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer programs may also be stored in a readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the readable storage medium storing the computer program includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the computer program which is executed on the computer, other programmable apparatus or other devices implements the functions/acts specified in the flowchart and/or block diagram block or blocks.
In summary, the embodiment of the invention provides a method, a system and a readable storage medium for automatic batch production, which are used for intelligently calculating the optimal product batch combination and batch planning of a newly added order by establishing a correlation model among an order delivery period, a product production period and bottleneck machine productivity, so that the production line efficiency can be improved, the load of engineers can be reduced, the batch feeding accuracy can be improved, and the manual operation risk can be reduced.
The above description is only illustrative of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention, and any alterations and modifications made by those skilled in the art based on the above disclosure shall fall within the scope of the present invention. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, the present invention is intended to include such modifications and alterations insofar as they come within the scope of the invention or the equivalents thereof.
Claims (10)
1. The automatic batch production method is characterized by comprising the following steps of:
Maintaining and splitting the newly added order;
constructing a correlation model among an order delivery period, a product production period and bottleneck machine productivity, setting constraint conditions, and calculating an optimal product input combination and a piece-throwing plan of the newly added order;
and monitoring the product in real time according to the calculated optimal product investment combination and the projection planning, and judging whether the product running condition accords with the plan.
2. The automatic batch production method according to claim 1, wherein when the newly added order is maintained and split, the newly added order is automatically split into a set format by judging the required date and number of the newly added order.
3. The automatic batch production method according to claim 1, wherein the step of calculating the optimal product batch combination and the batch plan of the newly added order comprises:
Constructing a judging rule, comparing the newly-increased order situation with the actual capacity of the production line, judging that the order is deficient if the actual capacity of the production line is far greater than the newly-increased order situation, and judging that the order is sufficient if the actual capacity of the production line cannot meet the newly-increased order situation;
And constructing a feeding logic, determining a daily feeding upper limit of the newly added order according to the order condition, and determining an optimal product feeding combination and a sheet feeding plan based on the daily feeding upper limit.
4. The automatic batch delivery method according to claim 3, wherein the step of determining the daily upper batch limit of the newly added order according to the order condition comprises:
Under the condition of deficient orders, calculating a daily upper limit of each process platform which fully utilizes the productivity according to the current year main production plan and the productivity, and taking the daily upper limit of each process platform as the daily upper limit of the newly added orders;
Under the condition that the orders are sufficient, counting the total order situation and subdividing the total order situation into each process platform, and taking the process platform as a unit to divide the total order equally to calculate the daily upper feeding limit of the newly added order.
5. The automatic batch delivery method according to claim 3 or 4, wherein the step of determining an optimal product batch combination and a batch plan based on the daily upper batch limit comprises:
Dividing the products in the newly added order into bulk products and small bulk products, wherein the bulk products are continuously input products according to the long-term of the monthly demand order, and the small bulk products are delivered at the determined time on the appointed demand date;
Filling the daily upper feeding limit of the small product in sequence according to the time priority before the appointed demand date;
based on the daily upper limit of feeding, dividing the bulk products by taking production batches as units, and sequentially giving different priorities according to different time requirements.
6. The automatic batch delivery method of claim 5, wherein when there is a case where the product order cannot be delivered on time, the product order with low risk of default is adjusted to preferentially satisfy the product order demand with high priority.
7. The automatic batch delivery method of claim 1, wherein the remaining portion of the new order is re-planned based on the correlation model in conjunction with the completed batch delivery of the production line during the modification of the new order.
8. The method of claim 1, wherein the warning and readjusting the product input combination and the projection plan are performed when the product run situation falls behind the expected one.
9. A batch automatic production scheduling system according to any one of claims 1 to 8, characterized by comprising:
The maintenance module is configured to maintain and split the newly added order;
the feeding planning module is configured to construct a correlation model among an order delivery period, a product production period and bottleneck machine productivity, set constraint conditions and calculate the optimal product feeding combination and the feeding planning of the newly added order;
And the monitoring module is configured to monitor the product in real time according to the calculated optimal product investment combination and the projection plan and judge whether the product running condition accords with the plan.
10. A readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, is capable of realizing the method of automatic batch production according to any one of claims 1-8.
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| CN202410231474.0A CN118131707A (en) | 2024-02-29 | 2024-02-29 | Automatic batch delivery method, system and readable storage medium |
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| CN202410231474.0A CN118131707A (en) | 2024-02-29 | 2024-02-29 | Automatic batch delivery method, system and readable storage medium |
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