CN117151504A - Efficiency evaluation method and device for automobile industry chain, electronic equipment and storage medium - Google Patents
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Abstract
The application provides an efficiency evaluation method, an efficiency evaluation device, electronic equipment and a storage medium of an automobile industry chain, which are used for acquiring complete vehicle capacity data of an automobile and then acquiring matched capacity data of parts correspondingly used by the automobile according to the complete vehicle capacity data of the automobile; acquiring the actual capacity data of the suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts; and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation. According to the application, the production efficiency of the automobile industry chain is evaluated by comparing the productivity data, so that the supply and demand relation of each part in the automobile industry chain is clearly displayed, the efficiency of the automobile industry chain is scientifically evaluated, the input and output efficiency of the industry chain is improved, and scientific guidance is provided for the planning layout of the automobile industry chain.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicles, in particular to an efficiency evaluation method and device for an automobile industry chain, electronic equipment and a storage medium.
Background
Automobiles become indispensable production data and living tools in national production and living. Today, the automobile industry in China develops rapidly, and a relatively complete industrial chain is formed.
When the automobile industry is greatly developed in China, due to the fact that a new investment, approval and landing of projects on an automobile industry chain generally need a long period, the situation that the type of automobile market is saturated when enterprises are ready to start to put into production and operation is quite likely to occur. This may result in excessive consumption of development resources, making the overall industry less efficient in input-output, and even destroying the original industry.
Disclosure of Invention
The application provides an efficiency evaluation method, an efficiency evaluation device, electronic equipment and a storage medium for an automobile industry chain, which are used for evaluating the production efficiency of the automobile industry chain by comparing productivity data, so that the input and output efficiency of the industry chain is increased.
In a first aspect, the present application provides a method for evaluating efficiency of an automotive industry chain, comprising the steps of:
acquiring the capacity data of the whole automobile;
according to the whole automobile capacity data, acquiring matched capacity data of parts correspondingly used by the automobile;
acquiring the actual capacity data of suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts;
and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation.
Further, the calculating the vehicle industry chain efficiency value further includes:
obtaining the logistics transportation cost of each part;
calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost;
and calculating the efficiency of the automobile industry chain according to the logistics cost percentage value and the component capacity absolute difference percentage value, wherein the efficiency value of the automobile industry chain is inversely related to the component capacity absolute difference percentage and the logistics cost percentage value.
Further, after calculating the efficiency value of the automobile industry chain, the method further comprises:
and presetting an industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency according to the efficiency threshold, if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as high efficiency, and if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as low efficiency.
Further, the calculating the vehicle industry chain efficiency value further includes:
obtaining an average component capacity absolute difference value according to the component capacity absolute difference value;
and calculating the efficiency of the automobile industry chain according to the absolute difference value of the productivity of the average part and the logistics cost percentage value, wherein the efficiency value of the automobile industry chain is inversely related to the absolute difference value of the productivity of the average part.
In a second aspect, the present application also provides an efficiency evaluation device for an automotive industry chain, including:
the capacity data acquisition module is used for acquiring the whole vehicle capacity data of the vehicle;
the component capacity data acquisition module is used for acquiring the matched capacity data of each component correspondingly used by the automobile according to the whole automobile capacity data;
the capacity absolute difference value acquisition module is used for acquiring the actual capacity data of the suppliers of the parts and calculating the capacity absolute difference value percentage of the parts according to the capacity data matched with the parts;
and the efficiency calculation module is used for calculating the automobile industry chain efficiency value according to the absolute difference value percentage of the productivity of the parts, wherein the automobile industry chain efficiency value and the absolute difference value percentage of the productivity of the parts are in negative correlation.
Further, the efficiency calculation module further includes:
the logistics cost acquisition unit is used for acquiring logistics transportation cost of each part;
the logistics cost calculation unit is used for calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost;
and the first efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the logistics cost percentage value and the component capacity absolute difference percentage value, wherein the automobile industry chain efficiency value is inversely related to the component capacity absolute difference percentage value and the logistics cost percentage value.
Further, the efficiency calculation module further includes:
and the efficiency evaluation unit is used for presetting an industrial chain efficiency threshold value, evaluating the automobile industrial chain efficiency according to the efficiency threshold value, evaluating the automobile industrial chain efficiency as high efficiency if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold value, and evaluating the automobile industrial chain efficiency as low efficiency if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold value.
Further, the efficiency calculation module further includes:
the average difference value obtaining unit is used for obtaining the average component capacity absolute difference value percentage value according to the component capacity absolute difference value percentage value;
and the second efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the average part productivity absolute difference value and the logistics cost percentage value, wherein the automobile industry chain efficiency value and the average part productivity absolute difference value are in negative correlation.
In a third aspect, an embodiment of the present application provides an electronic device, including:
at least one memory and at least one processor;
the memory is used for storing one or more programs;
the one or more programs, when executed by the at least one processor, cause the at least one processor to implement the steps of a method of assessing efficiency of an automotive industry chain as described in the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program, which when executed by a processor, implements the steps of a method for evaluating efficiency of an automotive industry chain according to the first aspect.
According to the application, the whole automobile capacity data is obtained, and the matched capacity data of each part corresponding to the automobile is obtained according to the whole automobile capacity data; acquiring the actual capacity data of the suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts; and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation. According to the application, the production efficiency of the automobile industry chain is evaluated by comparing the productivity data, so that the supply and demand relation of each part in the automobile industry chain is clearly displayed, the efficiency of the automobile industry chain is scientifically evaluated, the input and output efficiency of the industry chain is improved, and scientific guidance is provided for the planning layout of the automobile industry chain.
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Drawings
FIG. 1 is a flow chart of steps of a method for evaluating the efficiency of an automotive industry chain provided in one exemplary embodiment;
FIG. 2 is a block diagram of an efficiency assessment apparatus for an automotive industry chain provided in one exemplary embodiment;
fig. 3 is a schematic diagram of an electronic device provided in an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the application, are intended to be within the scope of the embodiments of the present application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application as detailed in the accompanying claims. In the description of the present application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Furthermore, in the description of the present application, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
As shown in fig. 1, an embodiment of the present application provides a method for evaluating efficiency of an automotive industry chain, including the following method steps:
s201: and acquiring the whole vehicle productivity data of the automobile.
Specifically, the vehicles of different vehicle types have different assembly of parts, so that the whole vehicle productivity data among different vehicle types are different. The whole vehicle capacity data can be read from a system of an automobile industry chain terminal manufacturer, and related data can be obtained according to a third party statistical platform.
S202: and acquiring the matched capacity data of each part corresponding to the automobile according to the whole automobile capacity data.
Specifically, the ratio of the capacity data of each part to the capacity data of the whole automobile is the ratio of the number of parts at the corresponding position required by the assembly of the whole automobile to the number of the automobile. For example, a light truck in a certain area has a total truck yield and a corresponding steering wheel component yield of 1:1, the whole vehicle yield and the corresponding tire component yield of the vehicle are 1:4, the whole vehicle yield and the corresponding seat yield of the vehicle are 1:5. for different vehicle types, the proportion of the matched capacity data of each part to the whole vehicle capacity data is different. It should be noted that, in practical application, in consideration of factors such as poor product and after-sales maintenance, the matching capacity data of the parts is often adjusted to be higher than the ratio based on the vehicle assembly completely; and the actual required ratio of different parts is different because the consumption of the parts is different. For example, the steering wheel is not a consumable automotive part, so the overall vehicle yield and the corresponding steering wheel part yield for that vehicle can be defaulted to 1:1, a step of; however, if the tire is a consumable automobile spare part, for example, a tire which needs to be replaced periodically, the whole automobile yield is close to 3:1. in order to ensure the accuracy of the subsequent calculation process, actual adjustment is carried out according to the condition reflected by the relevant big data information of the vehicle type, and the matched capacity data of each part is calculated based on the actual condition.
S203: and acquiring the actual capacity data of the suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts.
Specifically, the absolute difference percentage of the actual capacity data of the suppliers of the parts and the matched capacity data of the parts is calculated. In a specific example, the whole vehicle productivity data A of a certain vehicle type is obtained, and the matched productivity data of each part of the vehicle type is calculated to be A 1 、A 2 ……A n The method comprises the steps of carrying out a first treatment on the surface of the Acquiring actual capacity data B of all the spare part suppliers of the vehicle type 1 、B 2 ……B n The absolute difference percentage between the actual capacity of each part supplier and the matched capacity data of each part is |B 1 /A 1 -1|、|B 2 /A 2 -1|……|B n /A n -1|。
S204: and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation.
In a preferred example, the evaluation of the efficiency value of the automotive industry chain also by the logistic cost comprises: obtaining the logistics transportation cost of each part; calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost; and calculating the efficiency of the automobile industry chain according to the logistics cost percentage value and the absolute difference value percentage value of the productivity of the parts, wherein the efficiency value of the automobile industry chain is inversely related to the absolute difference value percentage of the productivity of the parts and the logistics cost percentage value.
In a preferred example, evaluating the automotive industry chain efficiency value by averaging component capacity absolute difference percentage values comprises: obtaining an average component capacity absolute difference value according to the component capacity absolute difference value; and calculating the efficiency of the automobile industry chain according to the absolute difference value percentage of the productivity of the average part and the logistics cost percentage value, wherein the efficiency value of the automobile industry chain is inversely related to the absolute difference value percentage of the productivity of the average part.
In a specific example, the sum of the logistic costs of all the parts suppliers of the vehicle model to transport the parts to the whole vehicle factory is obtained 1 +C 2 +……C n And calculate the logistics cost percentage y= (C) of the logistics cost to the whole vehicle cost D 1 +C 2 +、、、、C n ) and/D. Absolute difference value of average part capacity percentage value x= (|b) 1 /A 1 -1|+|B 2 /A 2 -1|……|B n /A n -1|)/n. And calculating the efficiency E=1/XY of the automobile industry chain according to the absolute difference value percentage of the average part productivity and the logistics cost percentage value.
In a preferred embodiment, evaluating the efficiency of the automotive industry chain by a threshold comprises: and presetting an industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency according to the efficiency threshold, if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as high efficiency, and if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as low efficiency.
Preferably, the vehicle industry chain efficiency evaluation may be performed not only efficiently or inefficiently, but also by setting a threshold value to classify the vehicle industry chain efficiency evaluation into a class. For example, the industrial chain efficiency threshold Ei is preset, and if the automotive industrial chain efficiency E exceeds 0 to 30% of Ei, it is rated as 1 level, exceeds 30 to 50% as 2 level, exceeds 50 to 100% as 3 level, exceeds 100 to 200% as 4 level, and so on.
Preferably, the efficiency evaluation of the production link and the logistics transportation link of each part can be performed. Analyzing the production link corresponding to the component with high efficiency and low efficiency, for example, ranking the absolute difference percentage between the actual capacity of each component supplier and the matched capacity data of each component from small to large, wherein the top N bits are the low-efficiency component links; ranking the ratio of the logistics cost of each part to the logistics cost of the whole vehicle from small to large, wherein the first M positions are low-efficiency logistics transportation links.
In a specific application scenario, the annual output of a light truck in a certain area is a=1ten thousand, and the steering wheel productivity a is required for matching 1 =1 ten thousand, need tire a 2 4 ten thousand seats are needed A 3 =5 ten thousand.
Let the capacity data of the actual steering wheel be B 1 =1.3 ten thousand, actual tire productivity B 2 =3.6 ten thousand, the actual number of seats is B 3 =6 ten thousand. Calculating the absolute difference percentage (|B) between the actual capacity of each parts supplier and the matched capacity data of each parts 1 /A 1 -1|+|B 2 /A 2 -1|……|B n /A n -1|), which is calculated as:
|B 1 /A 1 -1|＝|1.3/1-1|＝30％，
|B 2 /A 2 -1|＝|3.6/4-1|＝10％，
|B 3 /A 3 -1|＝|6/5-1|＝20％。
average capacity difference percentage x= (|b1/a-1|+|b2/a-1|, + |bn/a-1|)/n= (30% +5% +20%)/3=20%;
assuming that the policy cost is d=10ten thousand, the logistics cost of the steering wheel is C 1 The logistics cost of the placenta is C, which is =0.2 ten thousand 2 The logistic cost of the seat is C =0.3 ten thousand 3 =0.5 ten thousand, then the logistics cost percentage:
Y＝(C1+C2+、、、、Cn)/D＝(0.2+0.3+0.5)/10＝1/10＝10％。
the efficiency of the automotive industry chain E,
E＝1/XY＝1/(10％*20％)＝50。
assuming that the X value representing industry health development is 30% and the Y is 15%, the preset efficiency threshold is:
Ei＝1/XY＝1/(30％*15％)＝1/0.045＝22.22。
in this application scenario, E > Ei, and thus the automobile industry chain of the vehicle model can be evaluated as an efficient automobile industry chain.
From the above, the smaller the average difference percentage X of productivity is, the more balanced the supply and demand relationship between each part provider and the whole vehicle factory is, i.e. the higher the industry efficiency is, the smaller the logistics cost percentage Y is, the more reasonable the physical distribution of industry is, i.e. the higher the logistics transportation efficiency is, the vehicle industry chain efficiency e=1/XY is, and the comprehensive efficiency in the supply and demand relationship and the logistics distribution of the vehicle industry chain can be directly reflected, so that the efficiency of the vehicle industry chain can be scientifically evaluated.
According to the embodiment of the application, the whole automobile capacity data is obtained, and the matched capacity data of each part corresponding to the automobile is obtained according to the whole automobile capacity data; acquiring the actual capacity data of the suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts; and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation. Meanwhile, the embodiment of the application further evaluates the production efficiency of the automobile production chain by calculating the logistics cost ratio, thereby clearly showing the supply and demand relation of each part in the automobile industry chain, further scientifically evaluating the efficiency of the automobile industry chain, improving the input and output efficiency of the industry chain and providing scientific guidance for the planning layout of the automobile industry chain.
The embodiment of the application also provides an efficiency evaluation device 300 of the automobile industry chain, as shown in fig. 3, including:
the capacity data acquisition module 301 is configured to acquire capacity data of the whole automobile;
the component capacity data acquisition module 302 is configured to acquire, according to the whole vehicle capacity data, capacity data matched with each component used correspondingly by the vehicle;
the capacity absolute difference obtaining module 303 is configured to obtain actual capacity data of suppliers of the parts, and calculate a part capacity absolute difference percentage value according to the capacity data matched with the parts;
and the efficiency calculation module 304 is configured to calculate the efficiency value of the automotive industry chain according to the absolute difference value percentage of the component capacity, where the efficiency value of the automotive industry chain and the absolute difference value percentage of the component capacity are inversely related.
In one illustrative example, the efficiency calculation module 304 further includes:
the logistics cost acquisition unit is used for acquiring logistics transportation cost of each part;
the logistics cost calculation unit is used for calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost;
and the first efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the logistics cost percentage value and the component capacity absolute difference percentage value, wherein the automobile industry chain efficiency value is inversely related to the component capacity absolute difference percentage value and the logistics cost percentage value.
In one illustrative example, the efficiency calculation module 304 further includes:
and the efficiency evaluation unit is used for presetting an industrial chain efficiency threshold value, evaluating the automobile industrial chain efficiency according to the efficiency threshold value, evaluating the automobile industrial chain efficiency as high efficiency if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold value, and evaluating the automobile industrial chain efficiency as low efficiency if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold value.
In one illustrative example, efficiency calculation module 30 further includes:
the average difference value obtaining unit is used for obtaining the average component capacity absolute difference value percentage value according to the component capacity absolute difference value percentage value;
and the second efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the average part productivity absolute difference value and the logistics cost percentage value, wherein the automobile industry chain efficiency value and the average part productivity absolute difference value are in negative correlation.
As shown in fig. 3, fig. 3 is a block diagram illustrating a structure of an electronic device according to an exemplary embodiment of the present application.
The electronic device includes a processor 910 and a memory 920. The number of processors 910 in the main control chip may be one or more, and one processor 910 is illustrated in fig. 3. The number of memories 920 in the main control chip may be one or more, and one memory 920 is illustrated in fig. 3.
The memory 920 is used as a computer readable storage medium, and may be used to store a software program, a computer executable program, and a module, which are a program for evaluating the efficiency of an automotive industry chain according to any embodiment of the present application, and a program instruction/module corresponding to the method for evaluating the efficiency of an automotive industry chain according to any embodiment of the present application. Memory 920 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the device, etc. In addition, memory 920 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 920 may further include memory located remotely from processor 910, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 910 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory 920, that is, implements an efficiency evaluation method of an automotive industry chain described in any of the above embodiments.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for evaluating the efficiency of an automotive industry chain according to any one of the above embodiments.
The present application may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-readable storage media include both non-transitory and non-transitory, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer 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, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
It is to be understood that the embodiments of the application are not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of embodiments of the application is limited only by the appended claims.
The above examples merely represent a few implementations of the present examples, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that various modifications and improvements can be made to the present application without departing from the spirit of the embodiments of the application.
Claims (10)
1. An efficiency evaluation method for an automobile industry chain is characterized by comprising the following steps:
acquiring the capacity data of the whole automobile;
according to the whole automobile capacity data, acquiring matched capacity data of parts correspondingly used by the automobile;
acquiring the actual capacity data of suppliers of the parts, and calculating the absolute difference value percentage of the capacity of the parts according to the capacity data matched with the parts;
and calculating the efficiency value of the automobile industry chain according to the absolute difference value percentage of the productivity of the parts, wherein the efficiency value of the automobile industry chain and the absolute difference value percentage of the productivity of the parts are in negative correlation.
2. The method of claim 1, wherein said calculating said vehicle industry chain efficiency value further comprises:
obtaining the logistics transportation cost of each part;
calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost;
and calculating the efficiency of the automobile industry chain according to the logistics cost percentage value and the component capacity absolute difference percentage value, wherein the efficiency value of the automobile industry chain is inversely related to the component capacity absolute difference percentage and the logistics cost percentage value.
3. The method for evaluating the efficiency of an automotive industry chain according to claim 2, wherein after calculating the efficiency value of the automotive industry chain, further comprising:
and presetting an industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency according to the efficiency threshold, if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as high efficiency, and if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold, evaluating the automobile industrial chain efficiency as low efficiency.
4. A method of assessing the efficiency of an automotive industry chain according to claim 3, wherein said calculating said automotive industry chain efficiency value further comprises:
obtaining an average component capacity absolute difference value according to the component capacity absolute difference value;
and calculating the efficiency of the automobile industry chain according to the absolute difference value of the productivity of the average part and the logistics cost percentage value, wherein the efficiency value of the automobile industry chain is inversely related to the absolute difference value of the productivity of the average part.
5. An efficiency evaluation device for an automobile industry chain, comprising:
the capacity data acquisition module is used for acquiring the whole vehicle capacity data of the vehicle;
the component capacity data acquisition module is used for acquiring the matched capacity data of each component correspondingly used by the automobile according to the whole automobile capacity data;
the capacity absolute difference value acquisition module is used for acquiring the actual capacity data of the suppliers of the parts and calculating the capacity absolute difference value percentage of the parts according to the capacity data matched with the parts;
and the efficiency calculation module is used for calculating the automobile industry chain efficiency value according to the absolute difference value percentage of the productivity of the parts, wherein the automobile industry chain efficiency value and the absolute difference value percentage of the productivity of the parts are in negative correlation.
6. The apparatus for evaluating the efficiency of an automotive industry chain according to claim 5, wherein the efficiency calculation module further comprises:
the logistics cost acquisition unit is used for acquiring logistics transportation cost of each part;
the logistics cost calculation unit is used for calculating a logistics cost percentage value according to the logistics transportation cost of each part, wherein the logistics cost percentage value is the ratio of the sum of the logistics transportation cost of each part to the whole vehicle cost;
and the first efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the logistics cost percentage value and the component capacity absolute difference percentage value, wherein the automobile industry chain efficiency value is inversely related to the component capacity absolute difference percentage value and the logistics cost percentage value.
7. The apparatus for evaluating the efficiency of an automotive industry chain according to claim 5, wherein the efficiency calculation module further comprises:
and the efficiency evaluation unit is used for presetting an industrial chain efficiency threshold value, evaluating the automobile industrial chain efficiency according to the efficiency threshold value, evaluating the automobile industrial chain efficiency as high efficiency if the automobile industrial chain efficiency value is higher than the preset industrial chain efficiency threshold value, and evaluating the automobile industrial chain efficiency as low efficiency if the automobile industrial chain efficiency value is lower than the preset industrial chain efficiency threshold value.
8. The apparatus for evaluating the efficiency of an automotive industry chain according to claim 5, wherein the efficiency calculation module further comprises:
the average difference value obtaining unit is used for obtaining the average component capacity absolute difference value percentage value according to the component capacity absolute difference value percentage value;
and the second efficiency calculation unit is used for calculating the automobile industry chain efficiency according to the average part productivity absolute difference value and the logistics cost percentage value, wherein the automobile industry chain efficiency value and the average part productivity absolute difference value are in negative correlation.
9. An electronic device, comprising:
at least one memory and at least one processor;
the memory is used for storing one or more programs;
when said one or more programs are executed by said at least one processor, said at least one processor implements the steps of a method for evaluating the efficiency of an automotive industry chain according to any one of claims 1 to 4.
10. A computer-readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of a method for evaluating the efficiency of an automotive industry chain according to any one of claims 1 to 4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050119863A1 (en) * | 2003-08-07 | 2005-06-02 | Buikema John T. | Manufacturing monitoring system and methods for determining efficiency |
| CN107516160A (en) * | 2017-07-31 | 2017-12-26 | 新奥泛能网络科技股份有限公司 | Industry energy appraisal procedure and assessment system |
| CN108876478A (en) * | 2018-07-17 | 2018-11-23 | 北京群智营销咨询有限公司 | A kind of prediction technique and device of industry dynamics supply and demand ratio |
| CN116109377A (en) * | 2022-12-28 | 2023-05-12 | 海尔优家智能科技（北京）有限公司 | Order distribution method and device, storage medium and electronic device |
| CN116205495A (en) * | 2023-03-24 | 2023-06-02 | 北京赛目科技股份有限公司 | Method and device for predicting risk of industrial supply chain, storage medium and electronic equipment |
-
2023
- 2023-07-18 CN CN202310887373.4A patent/CN117151504A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050119863A1 (en) * | 2003-08-07 | 2005-06-02 | Buikema John T. | Manufacturing monitoring system and methods for determining efficiency |
| CN107516160A (en) * | 2017-07-31 | 2017-12-26 | 新奥泛能网络科技股份有限公司 | Industry energy appraisal procedure and assessment system |
| CN108876478A (en) * | 2018-07-17 | 2018-11-23 | 北京群智营销咨询有限公司 | A kind of prediction technique and device of industry dynamics supply and demand ratio |
| CN116109377A (en) * | 2022-12-28 | 2023-05-12 | 海尔优家智能科技（北京）有限公司 | Order distribution method and device, storage medium and electronic device |
| CN116205495A (en) * | 2023-03-24 | 2023-06-02 | 北京赛目科技股份有限公司 | Method and device for predicting risk of industrial supply chain, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 马小丽;: "基于产业链视角的流通业效率评价与路径优化", 商业经济研究, no. 13, 7 July 2020 (2020-07-07), pages 17 - 19 * |
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