CN116703178A

CN116703178A - Production capacity analysis method, analysis device, non-transitory computer readable medium, and computer program product

Info

Publication number: CN116703178A
Application number: CN202310706427.2A
Authority: CN
Inventors: 朱玉芳
Original assignee: BMW Brilliance Automotive Ltd
Current assignee: BMW Brilliance Automotive Ltd
Priority date: 2023-06-15
Filing date: 2023-06-15
Publication date: 2023-09-05

Abstract

The present disclosure relates to a production capacity analysis method, a production capacity analysis device, a non-transitory computer readable medium, and a computer program product. The method for analyzing the production capacity analyzes the production capacity of the whole production line of the product, and comprises the following steps: the method comprises the steps of obtaining standard output and standard production time of each production line for producing products, correcting the standard output and the standard production time according to the association relation of each production line based on constraint parameters comprising output factors and time factors, and calculating the production capacity of each production line by using the corrected output and corrected time; the production capacity is displayed in a grading manner according to the capacity utilization proportion of each production line, production workshop and factory, wherein the capacity utilization proportion is the proportion of the calculated current production capacity to the maximum production capacity; and obtaining production capacity restriction points based on the capacity utilization ratio, and prompting production parts corresponding to the production capacity restriction points as prompting information.

Description

Production capacity analysis method, analysis device, non-transitory computer readable medium, and computer program product

Technical Field

The present disclosure relates to an analysis method, an analysis device, a non-transitory computer readable medium and a computer program product for analyzing, displaying, processing production capacity, in particular, the overall production capacity of a production vehicle.

Background

With the rapid development of the automobile field in recent years, the sales volume of automobiles is frequently increased, most of the existing automobile factories already achieve design standard productivity, but the existing automobile factories still cannot meet the market demand, and meanwhile, the new factories are still under planning and construction. The production limit of the existing factory is urgently needed to be excavated, and the market demand is met to the maximum extent.

There is no model in the prior art that supports assessment of current production system capabilities and flexibility, nor is there a model that displays key capacity influencing factors, such as line speed, vehicle model limitations, new vehicle trials, etc., in real-time and dynamically. Furthermore, current technical feasibility checking and assessment of production system capabilities takes a lot of time and requires validation through a large number of business interfaces. That is, the production capacity system adopts different analysis systems and model programs based on different purposes, and the data association among the programs is less, so that weak data connection relationship is presented. In addition, many of the results based on a plurality of programs are manually analyzed to give an overall judgment result, but such manual analysis efficiency and accuracy cannot be sufficiently ensured. Moreover, different personnel can give different conclusions and lack standardization, and once parameters change, all data need to be re-analyzed, thus being labor-intensive.

In addition, no visual image of the influence of different corresponding parameters on the production capacity is visually given in a layered manner in the prior art. The manager cannot clearly feel what the factors limiting the production capacity are, what the direction of improvement is.

In addition, the prior art has no following contents: the production capacity of different production sites, such as production factories with different addresses and different production lines of the same production factory, is analyzed and displayed one by one in a grading manner, so that a manager can intuitively feel which production lines are fully loaded on a microscopic scale and which production lines are fully loaded on a macroscopic scale immediately, and further can intuitively know which part should be expanded and which part has redundancy, thereby being beneficial to judging of improvement of productivity efficiency.

Further, as described above, in the related art, since there is a small data association between the respective programs, it is difficult to give an improvement for the productivity shortage as a whole by the analysis results of the respective programs. It can be said that in existing production capacity analysis techniques, decision making is not necessarily optimal in terms of cost, efficiency, feasibility.

Disclosure of Invention

The present disclosure aims to provide an analysis method, an analysis apparatus, a non-transitory computer-readable medium, and a computer program product capable of solving the above-described problems, analyzing, displaying, and processing production capacity, particularly, overall production capacity of a production vehicle.

According to some embodiments of the present disclosure, there is provided a method of analyzing production capacity of an entire production line of a product, including: obtaining standard output and standard production time of each production line for producing products, correcting the standard output and the standard production time according to the association relation of each production line based on constraint parameters comprising output factors influencing the output and time factors influencing the production time, and calculating the production capacity of each production line by using the corrected output and corrected time; the production capacity is displayed in a grading manner according to the production line, the production workshops consisting of the production line and the factory consisting of the production workshops, and the capacity utilization ratio of each production line, the production workshops and the factory is the ratio of the calculated current production capacity to the maximum production capacity; and obtaining production capacity restriction points based on the capacity utilization ratio, and prompting production parts corresponding to the production capacity restriction points as prompting information.

According to some embodiments of the present disclosure, there is provided an analysis apparatus for production capacity, including: at least one processor; and at least one storage device storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the aforementioned production capacity analysis method.

According to some embodiments of the present disclosure, a non-transitory computer readable medium having computer readable program instructions stored thereon, which when executed by one or more processors, cause the one or more processors to perform the aforementioned analysis method of production capacity is provided.

According to some embodiments of the present disclosure, a computer program product is provided comprising computer readable program instructions which, when executed by one or more processors, cause the one or more processors to perform the aforementioned method of analyzing production capacity.

Drawings

Fig. 1 is a schematic diagram of an analysis apparatus 1 for production capacity.

Fig. 2 shows a functional block diagram of the processor 2 in the production capacity analysis device 1.

FIG. 3 shows an example graph of a production capacity hierarchical display for each production line, each production plant, each plant.

FIG. 4 is a flow chart of a method of analysis of production capacity.

Fig. 5 is a block diagram illustrating an exemplary computer system/server 12 suitable for use in implementing embodiments of the present disclosure.

Detailed Description

Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are illustrated in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The blocks within each block diagram shown below may be implemented by hardware, software, firmware, or any combination thereof to implement the principles of the present disclosure. It will be appreciated by those skilled in the art that the blocks described in each block diagram may be combined or divided into sub-blocks to implement the principles of the present disclosure.

The steps of the methods presented in this disclosure are intended to be illustrative. In some embodiments, the method may be accomplished with one or more additional steps not described and/or without one or more of the steps discussed. Furthermore, the order in which the steps of a method are illustrated and described is not intended to be limiting.

In the present disclosure, in the context of the overall production capacity of a production vehicle, it is described how to perform production capacity analysis in combination with factors of each part in a production system, and how to give the production capacity analysis result of the entire system in a more intuitive manner.

Fig. 1 is a schematic diagram of an analysis apparatus 1 for production capacity. The production capacity analysis device 1 is applied to production capacity analysis of a production system targeting a production vehicle. The production capacity analysis device 1 includes a processor 2 and a storage device 3, wherein the processor 2 executes each step of a production capacity analysis method, and the storage device stores instructions and various data.

Fig. 2 shows a functional block diagram of the processor 2 in the production capacity analysis device 1. As shown in fig. 2, the processor 2 includes an acquisition unit 221, a calculation unit 222, a display unit 223, a presentation unit 224, and a presentation unit 225.

The acquisition section 221 acquires a standard output and a standard production time of each production line that produces a product. Wherein the standard output refers to the output per unit time of a production line under the conventional condition. The normal state may be understood as a nominal output given at the factory of the production line, or as an output without any additional factors affecting the output thereof. The standard output is typically obtained based on the line speed of the line. Of course, other parameters that can measure the output can be used for the representation. The standard production time is typically obtained in association with a production calendar, excluding the date after normal shutdown planning. This standard production time can vary from one product line to another. The standard production and standard production time may be manually filled, or may be obtained by accessing a memory in which the information is stored in advance, or may be obtained by sending a request to an internal or external server.

The calculation section 222 corrects the standard production and the standard production time acquired by the acquisition section 221 based on constraint parameters. The constraint parameters here include yield factors and time factors. The production factor is a factor affecting the production, and the time factor is a factor affecting the production time. In the production of automobiles, the inventor researches that the following essential parameters have major influence on the output. The output factors at least comprise vehicle type limiting factors, bottleneck factors in the production process and capacity climbing loss factors. The vehicle type limiting factor is a factor affecting the production of the production line due to the difference of the vehicle types, for example, the production line which can be used when producing different vehicle types may be different, some production lines may produce a type vehicle but may not produce B type vehicle, some production lines may produce a type and B type vehicle, and in addition, each production line may produce different numbers of products per unit time for different vehicle types, and so on. In addition, the bottleneck factor in the production process refers to the link with the slowest production beat in the production process, for example, a spraying workshop or a spraying production line is the slowest point of the whole production link, which can cause backlog, and the like. Bottleneck factors in the production flow can have a relatively large influence on the overall output, and if excessive backlog occurs in the link, insufficient output of a subsequent production line and the like are caused, so that the bottleneck factors are objects to be concerned. In addition, the factor of loss of productivity in climbing refers to a stage of increasing the speed and the yield of the production line when the production line cannot reach a stable and constant state instantaneously during starting or restarting, and the productivity in this stage is lost. The above three factors are factors that have a large influence on the output, and there are other factors that have an influence on the output in addition to the above factors, such as production system capacity, factory general KPIs, vehicle type allocation (e.g., allocating vehicle production of different vehicle types for different factories), and the like. The statistical output can be selected according to actual conditions. Among the many time factors, what is important is a new vehicle type test time factor, which is a factor that causes a loss in the production time of the production line at the time of a new vehicle type test. Since the normal production line is occupied in the new vehicle type test, the time of normal production is affected.

Next, the calculation section 222 obtains a more realistic capacity for a production line in which constraint parameters including the above-described various factors are taken into consideration. That is, the calculating unit 222 calculates the production capacity of each production line using the corrected production capacity and the corrected time.

The calculation unit needs to correct the association data existing between the production lines, between the workshops, between the production lines and the workshops, and between the workshops and the workshops, for example, the order relationship between the production flows, the matching relationship in the production flows, the repulsive relationship in the production flows, and the like, taking these association relationships into consideration.

The display portion 223 displays the capacity use ratio. That is, the display unit 223 displays the capacity utilization ratio for each production line, each production plant, and each factory. The capacity utilization ratio is a ratio indicating the calculated current production capacity and its maximum production capacity, and is a space indicating how much the current object can increase the capacity. Or whether the production capacity of the current object is sufficient or insufficient. In the display, the production capacity calculated by the calculation unit 222 is displayed in a hierarchical manner according to the production line, the production plant including the production line, and the plant including the production plant, and the capacity utilization ratio of each production line, production plant, and plant.

As shown in fig. 3, an example graph of a hierarchical display is shown, but the display manner is not limited thereto, and other display manners, such as a histogram, a graph, and the like, may be used. In fig. 3, the top layer is the total interface of the analysis platform for production capacity, on which the overview function of the platform can be displayed, or the individual components of the platform or the information to be focused on can be displayed. The plant layers are shown in the second layer, here simply shown as a and B plants, but of course there may be a greater number of plants or a lesser number of plants. The factories can also be divided by address, by function, by model of the production vehicle, etc. The third level shows the workshops included in each plant, here, three workshops are illustrated for plant a, namely, the M, N, and L workshops. In practice it may be a stamping shop, a painting shop, an assembly shop, etc. Details of the plant B are omitted, and the plant B may have the same organization structure as the plant a or may be different from the plant B and may be determined according to actual production conditions. The fourth level shows the production lines etc. comprised in the respective workshops. Here, there are M1-MW lines illustrated in the M shop, N1-NY lines illustrated in the N shop, and L1-LS lines in the L shop. The four layers are arranged in a tree. The capacity utilization ratio may be added for each production line, each plant, each factory. The scale herein may be digital and may be displayed in different colors, such as a smaller scale remaining with a warmer tone color, a larger scale remaining with a cooler tone color, and so on. Based on such a hierarchical display, it is more intuitive to see how much space is available for improvement and how much has reached the capacity limit vertex.

When the capacity utilization ratio is displayed hierarchically, the capacity utilization ratio of the production plant is obtained based on the sum of the capacity utilization ratios of the production lines included in the production plant, and the capacity utilization ratio of the plant is obtained based on the sum of the capacity utilization ratios of the production plants included in the plant. The capacity utilization ratio of the production line, the capacity utilization ratio of the production plant, and the capacity utilization ratio of the factory may be arranged in a certain order. The ordered display can enable a user to more easily see the capacity use condition of each object.

The presenting unit 224 obtains the production capacity restriction point based on the capacity utilization ratio, and presents the production site corresponding to the production capacity restriction point as the reminding information. The presenting unit 224 can select a production line in which the production capacity cannot be further increased from the respective objects, for example, when the capacity usage ratio is 100%, and the presenting unit 224 presents the production site corresponding to the capacity usage ratio of 100% as the presentation information to the user. Thus, the user can find the condition of capacity full load as soon as possible. Of course, the judging ratio of the production line to be selected may be indicated when the production line is kept for more than a certain period of time within a range, for example, when the production capacity use ratio is 95% -100% for 10 minutes. Of course, this can also be indicated as soon as the capacity utilization ratio exceeds 95%.

Further, the proposal section 225 analyzes whether or not there is excess or insufficient capacity in each production line with respect to the capacity utilization ratio, thereby giving a response scheme. For example, when one of a plurality of production lines in the whole workshop is prompted as a prompt message, the production line can be adjusted or increased according to the proportion of other similar production lines.

In addition, the productivity utilization ratio of each production line, production shop and factory displayed in the grade can be updated and displayed in association with the execution of the given response scheme, so that the validity of the response scheme can be verified.

In addition, since the capacity between the production lines is managed in association with each other based on time, space, and the like, the ratio of the capacity usage varies as a whole with the fluctuation of a certain production line. Therefore, the user can simulate the productivity on the system, and the minimum and maximum productivity of the production system can be rapidly determined. In addition, each component in the production capacity analysis platform can be adjusted, for example, the current capacity utilization ratio is adjusted, the type of the production line is changed, the production line is added and various simulation conditions are changed, the capacity ratios of other production lines, production workshops and factories related to the production lines are changed along with the change, and when the current capacity utilization ratio is adjusted, the position where the capacity is easy to exceed the limit point is confirmed, so that the improvement can be carried out in advance. The state of the optimal solution, that is, the optimal solution of the production capacity of the whole production line of the product, may be obtained by changing the type of the production line, adding the production line, etc., and the optimal solution is to balance the production capacities of the respective production lines and substantially match the capacities of the whole production lines. And the maximization of productivity, the cost reduction, the optimization of equipment utilization rate and the like are realized through an optimal scheme. The balance and matching can be understood as that each production line has the same or equivalent production capacity utilization ratio as much as possible, and neither insufficient production capacity nor excessive production capacity can occur. Here, the shortage or the surplus may be determined to be shortage or surplus based on the capacity deviation of each production line exceeding a certain range.

The machine learning can be performed by utilizing the respective settings of various production lines of the obtained optimal solution, and after multiple training, the analysis platform for finally realizing the production capacity automatically adjusts parameters so as to give the optimal solution.

And the production capacity analysis platform can also be used for displaying the product schematic diagram of the factory and the numerical values of the response schemes and the constraint parameters in a correlated manner, and can also be used for displaying the product schematic diagram of the factory, the response schemes and the capacity utilization ratio displayed in a graphical manner in a correlated manner. Thus, the user can more intuitively know the productivity details of each factory.

In the production capacity analysis platform, the production capacity analysis platform can be matched with other external systems, such as an energy management system, a quality monitoring system and the like, and data can be input and output through an interface, so that better production management can be performed through mutual matching.

Next, an analysis method of production capacity will be described with reference to fig. 4. FIG. 4 is a flow chart of a method of analysis of production capacity.

In step S1, the acquisition section 221 acquires a standard yield and a standard production time of each production line that produces a product.

Next, in step S2, the calculation unit 222 corrects the standard output and the standard production time based on the association relationship between the production lines based on the constraint parameter including the output factor affecting the output and the time factor affecting the production time, and calculates the production capacity of each production line using the corrected output and the corrected time.

Next, in step S3, the display portion 223 displays the production capacity in a hierarchical manner according to the production line, the production plant composed of the production lines, and the factory composed of the production plant, the capacity usage ratio of each production line, the production plant, and the factory, the capacity usage ratio being a ratio indicating the calculated current production capacity and the maximum production capacity thereof.

Next, in step S4, the presenting unit 224 obtains the production capacity restriction point based on the capacity utilization ratio, and presents the production site corresponding to the production capacity restriction point as the reminder information.

Finally, in step S5, the proposal section 225 analyzes whether or not there is excess or insufficient capacity in each production line for the capacity usage ratio, thereby giving a response proposal.

In addition, the analysis method of production capacity may further correlate and display the product schematic diagram of the factory with the response scheme and the numerical value of each constraint parameter. Of course, the analysis method of the production capacity can also correlate and display the product schematic diagram of the factory, the response scheme and the capacity utilization ratio displayed in a graph mode.

According to the method for analyzing the production capacity, the production capacities of different production sites, such as production factories with different addresses and different production lines of the same production factory, are analyzed and displayed one by one in a grading manner, so that a manager can intuitively feel which production lines are full in a microscopic manner and which production lines are full in a macroscopic manner, and the situation that the production capacity of the production factory is full in a macroscopic manner is immediately achieved, and therefore the judgment of which part should be expanded and which part has more redundancy can be more intuitively realized, and the judgment of improvement of the productivity efficiency can be facilitated.

That is, by the method for analyzing the production capacity in the embodiment of the present disclosure, the production capacity status of the whole system, such as the production line, the production shop and the factory, can be visually known, the shortage and the surplus of the production capacity can be easily determined, and the bottleneck area can be identified and deeply studied. And because the prompt of the prompt part can more conveniently find the restriction points, an effective factory allocation scheme can be provided.

Secondly, based on the analysis method of the production capacity in the embodiment of the disclosure, historical data can be traceable, and simulation and analysis are performed based on the traceability of the historical data so as to evaluate the capacity and flexibility of a production system, avoid the risk of inappropriate system capacity caused during actual production, and reduce the overall cost.

Secondly, based on the analysis method of production capacity in the embodiments of the present disclosure, it is possible to support rapid determination of minimum and maximum production capacities of a production system by integrating related influence amounts, thereby saving a lot of time and effort. Without manual collection capability, all relevant data is automatically updated according to the digital model. It is also possible to give an estimate of the long-term plant development based on the above-mentioned individual data.

Fig. 5 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present disclosure. The computer system/server 12 shown in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.

As shown in FIG. 5, the computer system/server 12 is in the form of a general purpose computing device. Components of computer system/server 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer system/server 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media. Although not shown in fig. 5, a magnetic disk drive as well as an optical disk drive may also be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.

A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of embodiments described in this disclosure, such as the production capacity analysis method illustrated in FIG. 4. Computer program instructions for performing the operations of the present disclosure 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 readable program instructions may be executed 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 remote computers, the remote computer may be connected to the user 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 (e.g., connected 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 circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.

The computer system/server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer system/server 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the computer system/server 12 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device. As shown, network adapter 20 communicates with other modules of computer system/server 12 via bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computer system/server 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

The present disclosure may provide a method of analyzing production capacity, an apparatus for analyzing production capacity, a non-transitory computer readable medium, and a computer program product.

According to an embodiment of the present disclosure, there is provided a method of analyzing production capacity of an entire production line of a product, including:

obtaining standard output and standard production time of each production line for producing products,

correcting the standard output and the standard production time according to the association relation of each production line based on constraint parameters comprising output factors influencing the output and time factors influencing the production time, and calculating the production capacity of each production line by using the corrected output and corrected time;

the production capacity is displayed in a grading manner according to the production line, the production workshops consisting of the production line and the factory consisting of the production workshops, and the capacity utilization ratio of each production line, the production workshops and the factory is the ratio of the calculated current production capacity to the maximum production capacity;

and obtaining production capacity restriction points based on the capacity utilization ratio, and prompting production parts corresponding to the production capacity restriction points as prompting information.

According to another embodiment of the present invention, there is provided an analysis apparatus for production capacity, including:

at least one processor; and

at least one storage device storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the aforementioned production capacity analysis method.

According to another embodiment of the present invention, a non-transitory computer readable medium having computer readable program instructions stored thereon, which when executed by one or more processors, cause the one or more processors to perform the aforementioned method of analyzing production capacity is provided.

According to another embodiment of the present invention, a computer program product is provided comprising computer readable program instructions which, when executed by one or more processors, cause the one or more processors to perform the aforementioned method of analyzing production capacity.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An analysis method of production capacity, which analyzes the production capacity of the whole production line of products, comprises the following steps:

2. The production capacity analysis method as claimed in claim 1, wherein,

further, by analyzing whether or not there is excess or insufficient capacity for each production line with respect to the capacity usage ratio, a response scheme is given.

3. The production capacity analysis method according to claim 2, wherein,

in association with execution of the given response scheme, the capacity utilization ratio of each production line, production plant, factory displayed in the hierarchy is updated and displayed.

4. The production capacity analysis method according to claim 3, wherein,

and using a proportional adjustment response scheme based on the updated capacity until the production capacity of the whole production line of the product is matched with each other.

5. The production capacity analysis method according to any one of claims 1 to 4, wherein,

further, the production capacity utilization ratio of each production line is adjusted through simulation, and the minimum production capacity and/or the maximum production capacity of the whole production line of the product are determined.

6. The production capacity analysis method according to any one of claims 1 to 4, wherein,

and based on the calculated production capacity of each production line, any production capacity estimated value in future production lines, production workshops and factories is obtained and displayed.

7. The production capacity analysis method according to any one of claims 1 to 4, wherein,

the time factors included in the constraint parameters at least comprise new vehicle type test time factors which cause loss of production time of the production line in new vehicle type test.

8. The production capacity analysis method according to any one of claims 1 to 4, wherein,

the standard production time is obtained in association with a production calendar, and is the time obtained after excluding the date on which the shutdown plan is made.

9. The production capacity analysis method according to any one of claims 1 to 4, wherein,

the yield factors included in the constraint parameters at least comprise vehicle type limiting factors, bottleneck factors in the production process and capacity climbing loss factors.

10. The production capacity analysis method according to any one of claims 1 to 4, wherein,

the standard output is obtained based on the line speed of the line.

11. The production capacity analysis method according to any one of claims 1 to 4, wherein,

when the capacity utilization ratio is displayed in a hierarchical manner, the capacity utilization ratio of the production plant is obtained based on the sum of the capacity utilization ratios of the production lines included in the production plant, the capacity utilization ratio of the plant is obtained based on the sum of the capacity utilization ratios of the production plants included in the plant, and the capacity utilization ratio of the production lines, the capacity utilization ratio of the production plant, and the capacity utilization ratio of the plant can be arranged in order of magnitude.

12. The production capacity analysis method according to any one of claims 2 to 4, wherein,

and correlating the product schematic diagram of the factory with the response scheme and the numerical value of each constraint parameter for display.

13. The production capacity analysis method according to any one of claims 2 to 4, wherein,

and correlating and displaying the product schematic diagram of the factory, the response scheme and the capacity utilization ratio displayed in a graph mode.

14. An apparatus for analyzing production capacity, comprising:

at least one processor; and

at least one storage device storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the method of any of claims 1-13.

15. A non-transitory computer readable medium having computer readable program instructions stored thereon, which when executed by one or more processors, cause the one or more processors to perform the method of any of claims 1-13.

16. A computer program product comprising computer readable program instructions which, when executed by one or more processors, cause the one or more processors to perform the method of any of claims 1-13.