A supply chain management system and method based on big data

Abstract

The present application provides a supply chain management system and method based on big data, belonging to the technical field of big data, and is used to effectively control the supply chain through big data to improve production efficiency. The method includes: an electronic device obtains production data of products within a preset time period, and obtains supply data of components provided by multiple supply chains respectively within the preset time period. At least two of the multiple supply chains provide different components, and the components provided by the multiple supply chains are used to produce products; the electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the products and the supply data of the components provided by the multiple supply chains respectively. The supply coupling degree is the coupling degree between the components provided by the multiple supply chains and product production; the electronic device adjusts the multiple supply chains according to the supply coupling degree.

Description

Technical Field

[0001] This application relates to the field of big data technology, and in particular, to a supply chain management system and method based on big data. Background Art

[0002] In modern industrial production, supply chain management and control is a crucial link. It involves multiple aspects such as product design, raw material procurement, production process planning, product storage, and distribution. Effective supply chain management and control can not only ensure product quality but also improve production efficiency, reduce production costs, and thus enhance the competitiveness of enterprises.

[0003] Supply chain management and control refers to the effective management and control of all aspects of the supply chain to ensure the smooth operation of the supply chain and meet the production requirements of products. The importance of supply chain management and control is mainly reflected in the following aspects: improving production efficiency: Effective supply chain management and control can ensure the smooth progress of all aspects in the production process, avoid production interruptions caused by supply chain problems, and thus improve production efficiency. Reducing production costs: By optimizing supply chain management, inventory costs, transportation costs, procurement costs, etc. can be reduced, thereby reducing production costs. Improving product quality: Supply chain management and control can ensure the quality of components and raw materials used in the production process, thereby improving product quality.

[0004] Although the importance of supply chain management and control is self-evident, in actual operation, enterprises often face many challenges: 1. Complexity of the supply chain: As the variety of products increases, the complexity of the supply chain also increases, making the management of the supply chain more difficult. 2. Uncertainty of demand: The changes in market demand are often unpredictable, which brings great uncertainty to the management of the supply chain.

[0005] Therefore, how to effectively manage the supply chain to improve production efficiency is the current research issue. Summary of the Invention

[0006] The embodiments of this application provide a supply chain management system and method based on big data, which are used to effectively manage and control the supply chain through big data to improve production efficiency.

[0007] To achieve the above object, this application adopts the following technical solutions:

[0008] In a first aspect, a supply chain management method based on big data is provided, which is applied to an electronic device. The method includes: the electronic device obtains production data of products within a preset time period, and obtains supply data of components provided by multiple supply chains respectively within the preset time period. At least two of the multiple supply chains provide different components, and the components provided by the multiple supply chains are used to produce products; the electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the products and the supply data of the components provided by the multiple supply chains respectively. The supply coupling degree is the coupling degree between the components provided by the multiple supply chains and the product production; the electronic device adjusts the multiple supply chains according to the supply coupling degree.

[0009] Optionally, the electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the products and the supply data of the components provided by the multiple supply chains respectively, including: the electronic device projects the production data of the products onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane; the electronic device projects the supply data of the components provided by the multiple supply chains respectively onto the virtual projection plane to obtain multiple second sets of discrete coordinate points on the virtual projection plane, and the multiple second sets of discrete coordinate points correspond one-to-one to the supply data of the components provided by the multiple supply chains respectively; the electronic device analyzes the coordinate discreteness between the first set of discrete coordinate points and the multiple second sets of discrete coordinate points to determine the supply coupling degree.

[0010] Optionally, the production data of the products includes: the number of products produced at each of L time points, where L is an integer greater than 1, and the L time points are within the preset time period; the number of products produced at each of the L time points is presented as a first bar chart on the display interface, and the display interface is parallel to the virtual projection plane; for the s-th time point among the L time points, where s is any integer taking values from 1 to L, the number of products produced at the s-th time point is Ps, and Ps is a positive integer. The number of products produced at the s-th time point is presented as the first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps; on this basis, when the electronic device projects the production data of the products onto the preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane, it includes: the electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane. The Ps discrete coordinate points are a subset of the first discrete coordinate points s. When s traverses from 1 to L, a total of L subsets of the first discrete coordinate points are obtained, and the L subsets of the first discrete coordinate points are the first set of discrete coordinate points.

[0011] Optionally, the electronic device projects the vertices of the first bar chart #s onto the virtual projection plane Ps times, obtaining Ps discrete coordinate points on the virtual projection plane, including: for any one of the Ps projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions whose angle with the normal direction of the display interface is the target angle, and projects the vertices of the first bar chart #s onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0012] Optionally, the target supply chain is any one of multiple supply chains. The supply data of the components provided by the target supply chain includes: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within a preset time period. The number of components provided at each of the K time points is presented as a second bar chart on the display interface. The display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as a second bar chart #t on the display interface. The height of the vertex of the second bar chart #t corresponds to the value of Qt. On this basis, the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane, obtaining multiple sets of second discrete coordinate points on the virtual projection plane, including: the electronic device projects the vertices of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a subset t of the second discrete coordinate points. When t traverses from 1 to K, a total of K subsets of discrete coordinate points are obtained. The K subsets of discrete coordinate points are the target set of discrete coordinate points, and the target set of discrete coordinate points is one of the multiple sets of second discrete coordinate points.

[0013] Optionally, the electronic device projects the vertices of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane, including: for any one of the Qt projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions whose angle with the normal direction of the display interface is the target angle, and projects the vertices of the second bar chart #t onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0014] Optionally, the set of target discrete coordinate points is any one of multiple sets of second discrete coordinate points. For the set of target discrete coordinate points, the electronic device analyzes the coordinate discreteness between the set of first discrete coordinate points and the multiple sets of second discrete coordinate points to determine the supply coupling degree, including: The electronic device determines, on the virtual projection plane with a preset radius, a first circular pattern centered on each discrete coordinate point in the set of first discrete coordinate points, and obtains multiple first circular patterns with the same number of discrete coordinate points as in the set of first discrete coordinate points; The electronic device determines, on the virtual projection plane with a preset radius, a second circular pattern centered on each discrete coordinate point in the set of target discrete coordinate points, and obtains multiple second circular patterns with the same number of discrete coordinate points as in the set of first discrete coordinate points; The electronic device determines the number of circular patterns in the multiple second circular patterns that overlap with the multiple first circular patterns, and determines the supply coupling degree between the components provided by the target supply chain and the product production according to the number of circular patterns. The target supply chain is the supply chain corresponding to the set of target discrete coordinate points.

[0015] Optionally, the electronic device adjusts multiple supply chains according to the supply coupling degree, including: If the supply coupling degree between the components provided by the target supply chain and the product production is less than the preset lower threshold, the electronic device sends a supply acceleration instruction to the target supply chain. If the supply coupling degree between the components provided by the target supply chain and the product production is greater than the preset upper threshold, the electronic device sends a supply slowdown instruction to the target supply chain.

[0016] In a second aspect, a supply chain management system based on big data is provided. The system includes an electronic device, and the electronic device is configured to: The electronic device obtains the production data of the product within a preset time period, and obtains the supply data of the components provided by each of the multiple supply chains within the preset time period. At least two of the multiple supply chains provide different components, and the components provided by the multiple supply chains are used for product production; The electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the product and the supply data of the components provided by each of the multiple supply chains. The supply coupling degree is the coupling degree between the components provided by the multiple supply chains and the product production; The electronic device adjusts multiple supply chains according to the supply coupling degree.

[0017] Optionally, the electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the product and the supply data of the components provided by each of the multiple supply chains, including: the electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane; the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane to obtain multiple second sets of discrete coordinate points on the virtual projection plane, and the multiple second sets of discrete coordinate points correspond one-to-one to the supply data of the components provided by each of the multiple supply chains; the electronic device analyzes the coordinate discreteness between the first set of discrete coordinate points and the multiple second sets of discrete coordinate points to determine the supply coupling degree.

[0018] Optionally, the production data of the product includes: the number of products produced at each of L time points, where L is an integer greater than 1, and the L time points are within a preset time period; the number of products produced at each of the L time points is presented as a first bar chart on the display interface, and the display interface is parallel to the virtual projection plane; for the s-th time point among the L time points, where s is any integer from 1 to L, the number of products produced at the s-th time point is Ps, and Ps is a positive integer, and the number of products produced at the s-th time point is presented as the first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps; on this basis, the electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane, including: the electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane, and the Ps discrete coordinate points form a first subset of discrete coordinate points s, and when s traverses from 1 to L, a total of L first subsets of discrete coordinate points are obtained, and the L first subsets of discrete coordinate points are the first set of discrete coordinate points.

[0019] Optionally, when the electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane, it includes: for any one of the Ps projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions with an angle of the target angle with respect to the normal direction of the display interface, and projects the vertex of the first bar chart #s onto the virtual projection plane along the target direction to obtain a discrete coordinate point, and the preset angle range is: [0°, 15°].

[0020] Optionally, the target supply chain is any one of multiple supply chains. The supply data of the components provided by the target supply chain includes: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within a preset time period. The number of components provided at each of the K time points is presented as a second bar chart on the display interface, and the display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as the second bar chart #t on the display interface, and the height of the vertex of the second bar chart #t corresponds to the value of Qt. On this basis, the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane, obtaining multiple sets of second discrete coordinate points on the virtual projection plane, including: the electronic device projects the vertex of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a subset t of the second discrete coordinate points. When t traverses from 1 to K, a total of K subsets of discrete coordinate points are obtained, and the K subsets of discrete coordinate points are the target set of discrete coordinate points, and the target set of discrete coordinate points is one of the multiple sets of second discrete coordinate points.

[0021] Optionally, the electronic device projects the vertex of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane, including: for any one of the Qt projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions with an angle of the target angle with respect to the normal direction of the display interface, and projects the vertex of the second bar chart #t onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0022] Optionally, the target set of discrete coordinate points is any one of the multiple sets of second discrete coordinate points. For the target set of discrete coordinate points, the electronic device analyzes the coordinate discreteness between the first set of discrete coordinate points and the multiple sets of second discrete coordinate points to determine the supply coupling degree, including: the electronic device determines, on the virtual projection plane with a preset radius, a first circular pattern centered on each discrete coordinate point in the first set of discrete coordinate points, obtaining multiple first circular patterns with the same number of discrete coordinate points as in the first set of discrete coordinate points; the electronic device determines, on the virtual projection plane with a preset radius, a second circular pattern centered on each discrete coordinate point in the target set of discrete coordinate points, obtaining multiple second circular patterns with the same number of discrete coordinate points as in the first set of discrete coordinate points; the electronic device determines the number of circular patterns in the multiple second circular patterns that overlap with the multiple first circular patterns, and determines the supply coupling degree between the components provided by the target supply chain and the product production based on the number of circular patterns. The target supply chain is the supply chain corresponding to the target set of discrete coordinate points.

[0023] Optionally, the electronic device adjusts multiple supply chains according to the supply coupling degree, including: if the supply coupling degree between the components provided by the target supply chain and the product production is less than a preset lower threshold, the electronic device sends a supply acceleration instruction to the target supply chain; if the supply coupling degree between the components provided by the target supply chain and the product production is greater than a preset upper threshold, the electronic device sends a supply deceleration instruction to the target supply chain.

[0024] In a third aspect, a computer-readable storage medium is provided, including: a computer program or instruction; when the computer program or instruction runs on a computer, the computer is caused to execute the method described in the first aspect.

[0025] In summary, the above method and system have the following technical effects:

[0026] By obtaining the production data of the product within a preset time period and the supply data of the components provided by multiple supply chains within the preset time period; the electronic device can perform analysis through big data, such as by analyzing the data discreteness between the production data of the product and the supply data of the components provided by multiple supply chains, to determine the supply coupling degree between the components provided by multiple supply chains and the product production, that is, whether the supply of components can meet the needs of product production. In this way, the electronic device can adjust multiple supply chains according to the supply coupling degree, such as adjusting the supply strategy, to ensure that the supply of components can match the product production, so as to effectively and accurately control the supply chain and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic flowchart of a supply chain management method based on big data provided by an embodiment of the present application;

[0028] Figure 2 It is a schematic application scenario diagram of a supply chain management method based on big data provided by an embodiment of the present application;

[0029] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] Next, the technical solutions in the present application will be described with reference to the drawings.

[0031] The present application will present various aspects, embodiments or features around a system that may include multiple devices, components, modules, etc. It should be understood and appreciated that each system may include additional devices, components, modules, etc., and / or may not include all the devices, components, modules, etc. discussed in conjunction with the drawings. In addition, combinations of these solutions can also be used.

[0032] In addition, in the embodiments of the present application, words such as "exemplary" and "for example" are used to give examples, illustrations or explanations. Any embodiment or design described as "exemplary" in the present application should not be construed as being more preferred or having more advantages than other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a specific way.

[0033] In the embodiments of the present application, "information", "signal", "message", "channel", and "signaling" can sometimes be used interchangeably. It should be noted that when the differences are not emphasized, their intended meanings are matched. "Of", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the differences are not emphasized, their intended meanings are matched. In addition, " / " mentioned in the present application can be used to represent the "or" relationship.

[0034] The network architecture and service scenarios described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those of ordinary skill in the art can know that with the evolution of the network architecture and the emergence of new service scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

[0035] Exemplarily, Figure 1 The flowchart of the supply chain management method based on big data provided by the embodiments of the present application. This method can be applied to electronic devices.

[0036] As Figure 1 shown, the process of the supply chain management method based on big data is as follows:

[0037] S101, the electronic device obtains the production data of the product within a preset time period, and obtains the supply data of the components provided by each of the multiple supply chains within the preset time period.

[0038] Among the multiple supply chains, at least two supply chains provide different components, and the components provided by the multiple supply chains are used to produce the product. For example, taking the product as a mobile phone, the components provided by the supply chain may include a camera module, a battery module, a baseband, a backplane, a display panel, etc. Taking the product as a car, the components provided by the supply chain may include a power battery pack, a lidar, a liquid crystal instrument, etc.

[0039] The preset time period can be a periodic time period, such as a period of days, weeks, months, etc., and can be specifically selected according to the actual situation without specific limitation.

[0040] S102. The electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of the product and the supply data of the components provided by each of the multiple supply chains.

[0041] The supply coupling degree can be the coupling degree between the components provided by each of the multiple supply chains and the product production, or the supply coupling degree.

[0042] Specifically, the electronic device can project the production data of the product onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane.

[0043] For example, the production data of the product can include: the number of products produced at each of L time points, where L is an integer greater than 1, and the L time points are within a preset time period; the number of products produced at each of the L time points is presented as a first bar chart on a display interface, and the display interface is parallel to the virtual projection plane (parallel to the virtual projection plane can be understood as parallel to the projection plane virtually generated by the machine for auxiliary calculation); for the s-th time point among the L time points, where s is any integer from 1 to L, the number of products produced at the s-th time point is Ps, and Ps is a positive integer. The number of products produced at the s-th time point is presented as the first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps.

[0044] Regarding the first bar chart #s, others can be understood by reference and will not be elaborated here. The electronic device can project the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane. The Ps discrete coordinate points form a first subset of discrete coordinate points s. When s traverses from 1 to L, a total of L first subsets of discrete coordinate points are obtained, and the L first subsets of discrete coordinate points are the first set of discrete coordinate points. For example, for any one of the Ps projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions with an angle of the target angle with respect to the normal direction of the display interface, and projects the vertex of the first bar chart #s onto the virtual projection plane along the target direction to obtain a discrete coordinate point. The preset angle range is: [0°, 15°].

[0045] The advantage of this is that the information contained in a bar chart can be converted into the coordinate positions of a set of discrete coordinate points through a relatively small preset angle range (i.e., an angle range without distortion to ensure accuracy and relevance), which is convenient for calculating the coupling degree.

[0046] For easy understanding, such as Figure 2As shown, the first bar chart #s indicates that the number of products produced at the s-th time point is Ps = 4. Among them, all directions with an angle to the normal direction of the display interface being the target angle can be understood to form a conical surface, and the target direction is also located on this conical surface. Ps = 4 means that 4 discrete coordinate points can be projected.

[0047] The electronic device projects the supply data of components provided by multiple supply chains onto a virtual projection plane, obtaining multiple sets of second discrete coordinate points on the virtual projection plane. The multiple sets of second discrete coordinate points correspond one-to-one to the supply data of components provided by multiple supply chains respectively.

[0048] The target supply chain is any one of the multiple supply chains. The supply data of components provided by the target supply chain may include: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within a preset time period. The number of components provided at each of the K time points is presented as a second bar chart on the display interface, and the display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer taking values from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as the second bar chart #t on the display interface, and the height of the vertex of the second bar chart #t corresponds to the value of Qt.

[0049] Similarly to the above, taking the target supply chain as an example, for other cases, it can be understood by reference. The electronic device can also project the vertex of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a subset t of the second discrete coordinate points. When t traverses from 1 to K, a total of K subsets of discrete coordinate points are obtained. The K subsets of discrete coordinate points are the target set of discrete coordinate points, and the target set of discrete coordinate points is one of the multiple sets of second discrete coordinate points. For example, for any one of the Qt projections, the electronic device can randomly select a target angle from a preset angle range, and randomly select a target direction from all directions with an angle to the normal direction of the display interface being the target angle, and project the vertex of the second bar chart #t onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0050] It can be understood that in the above projection, it is necessary to ensure that the granularity of the first bar chart #s and the second bar chart #t in the display interface is the same. For example, if Ps corresponding to the first bar chart #s is 4 and Qt corresponding to the first bar chart #s is 8, the first bar chart #s and the second bar chart #t need to be in the same coordinate system, and the height of the second bar chart #t is twice the height of the first bar chart #s.

[0051] The electronic device can analyze the coordinate discreteness of the first set of discrete coordinate points and multiple second sets of discrete coordinate points to determine the supply coupling degree.

[0052] For example, taking the target set of discrete coordinate points obtained by data projection of the above-mentioned target supply chain as an example, the target set of discrete coordinate points is any one of the multiple second sets of discrete coordinate points. For the target set of discrete coordinate points, the electronic device determines, on the virtual projection plane with a preset radius, a first circular pattern centered on each discrete coordinate point in the first set of discrete coordinate points, and obtains multiple first circular patterns with the same number of discrete coordinate points as in the first set of discrete coordinate points; the electronic device determines, on the virtual projection plane with a preset radius, a second circular pattern centered on each discrete coordinate point in the target set of discrete coordinate points, and obtains multiple second circular patterns with the same number of discrete coordinate points as in the first set of discrete coordinate points. The electronic device can determine the number of circular patterns in the multiple second circular patterns that overlap with the multiple first circular patterns, and determine the supply coupling degree of the components provided by the target supply chain and the product production according to the number of overlapping circular patterns. The target supply chain is the supply chain corresponding to the target set of discrete coordinate points. For example, the electronic device can determine the target interval where the number of overlapping circular patterns is located from a preset multiple number intervals, and thus determine the supply coupling degree corresponding to the target interval. The supply coupling degree is represented by a value. The more the number of overlapping circular patterns, the larger the value of the supply coupling degree, indicating a higher supply coupling degree.

[0053] S103. The electronic device adjusts multiple supply chains according to the supply coupling degree.

[0054] If the supply coupling degree of the components provided by the target supply chain and the product production is less than the preset lower threshold, the electronic device sends a supply acceleration instruction to the target supply chain. If the supply coupling degree of the components provided by the target supply chain and the product production is greater than the preset upper threshold, the electronic device sends a supply deceleration instruction to the target supply chain.

[0055] In summary, when obtaining the production data of the product within the preset time period and the supply data of the components provided by multiple supply chains within the preset time period respectively; the electronic device can perform analysis through big data, such as by analyzing the data discreteness of the production data of the product and the supply data of the components provided by multiple supply chains respectively, to determine the supply coupling degree of the components provided by multiple supply chains and the product production, that is, whether the supply of components can meet the needs of product production. In this way, the electronic device can adjust multiple supply chains according to the supply coupling degree, such as adjusting the supply strategy, to ensure that the supply of components can match the product production, so as to achieve effective and accurate control of the supply chain and improve production efficiency.

[0056] The above combination Figure 1The method for supply chain management based on big data provided by the embodiments of the present application is described in detail. The following details the supply chain management system based on big data for implementing the method for supply chain management based on big data provided by the embodiments of the present application. The system includes an electronic device, which is configured to: The electronic device obtains the production data of products within a preset time period, and obtains the supply data of components provided by each of multiple supply chains within the preset time period. At least two of the multiple supply chains provide different components, and the components provided by the multiple supply chains are used to produce products; The electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of products and the supply data of components provided by each of the multiple supply chains. The supply coupling degree is the coupling degree between the components provided by the multiple supply chains and product production; The electronic device adjusts the multiple supply chains according to the supply coupling degree.

[0057] Optionally, the electronic device determines the supply coupling degree by analyzing the data discreteness between the production data of products and the supply data of components provided by each of the multiple supply chains, including: The electronic device projects the production data of products onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane; The electronic device projects the supply data of components provided by each of the multiple supply chains onto the virtual projection plane to obtain multiple second sets of discrete coordinate points on the virtual projection plane. The multiple second sets of discrete coordinate points correspond one-to-one to the supply data of components provided by each of the multiple supply chains; The electronic device analyzes the coordinate discreteness between the first set of discrete coordinate points and the multiple second sets of discrete coordinate points to determine the supply coupling degree.

[0058] Optionally, the production data of products includes: The number of products produced at each of L time points, where L is an integer greater than 1, and the L time points are within the preset time period; The number of products produced at each of the L time points is presented as a first bar chart on the display interface, and the display interface is parallel to the virtual projection plane; For the s-th time point among the L time points, where s is any integer taking values from 1 to L, the number of products produced at the s-th time point is Ps, and Ps is a positive integer. The number of products produced at the s-th time point is presented as the first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps; On this basis, the electronic device projects the production data of products onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane, including: The electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane. The Ps discrete coordinate points are a subset of the first discrete coordinate points s. When s traverses from 1 to L, a total of L subsets of the first discrete coordinate points are obtained, and the L subsets of the first discrete coordinate points are the first set of discrete coordinate points.

[0059] Optionally, the electronic device projects the vertices of the first histogram #s onto the virtual projection plane Ps times, obtaining Ps discrete coordinate points on the virtual projection plane, including: for any one of the Ps projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions with an angle of the target angle with respect to the normal direction of the display interface, and projects the vertices of the first histogram #s onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0060] Optionally, the target supply chain is any one of multiple supply chains. The supply data of the components provided by the target supply chain includes: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within a preset time period. The number of components provided at each of the K time points is presented as a second histogram on the display interface, and the display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as a second histogram #t on the display interface, and the height of the vertex of the second histogram #t corresponds to the value of Qt. On this basis, the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane, obtaining multiple sets of second discrete coordinate points on the virtual projection plane, including: the electronic device projects the vertices of the second histogram #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a subset t of the second discrete coordinate points. When t traverses from 1 to K, a total of K subsets of discrete coordinate points are obtained, and the K subsets of discrete coordinate points are the target set of discrete coordinate points. The target set of discrete coordinate points is one of the multiple sets of second discrete coordinate points.

[0061] Optionally, the electronic device projects the vertices of the second histogram #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane, including: for any one of the Qt projections, the electronic device randomly selects a target angle from a preset angle range, and randomly selects a target direction from all directions with an angle of the target angle with respect to the normal direction of the display interface, and projects the vertices of the second histogram #t onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

[0062] Optionally, the set of target discrete coordinate points is any one of multiple sets of second discrete coordinate points. For the set of target discrete coordinate points, the electronic device analyzes the coordinate discreteness between the set of first discrete coordinate points and the multiple sets of second discrete coordinate points to determine the supply coupling degree, including: The electronic device determines, on the virtual projection plane with a preset radius, a first circular pattern centered on each discrete coordinate point in the set of first discrete coordinate points, obtaining multiple first circular patterns with the same number of discrete coordinate points as in the set of first discrete coordinate points; The electronic device determines, on the virtual projection plane with a preset radius, a second circular pattern centered on each discrete coordinate point in the set of target discrete coordinate points, obtaining multiple second circular patterns with the same number of discrete coordinate points as in the set of first discrete coordinate points; The electronic device determines the number of circular patterns in the multiple second circular patterns that overlap with the multiple first circular patterns, and determines the supply coupling degree between the components provided by the target supply chain and the product production according to the number of circular patterns. The target supply chain is the supply chain corresponding to the set of target discrete coordinate points.

[0063] Optionally, the electronic device adjusts multiple supply chains according to the supply coupling degree, including: If the supply coupling degree between the components provided by the target supply chain and the product production is less than the preset lower threshold, the electronic device sends a supply acceleration instruction to the target supply chain. If the supply coupling degree between the components provided by the target supply chain and the product production is greater than the preset upper threshold, the electronic device sends a supply slowdown instruction to the target supply chain.

[0064] Figure 3 FIG. is a schematic structural diagram of the electronic device provided in the embodiments of the present application. Exemplarily, the electronic device may be a terminal device, or may be a chip (system) or other components or assemblies that can be set in the terminal device. As Figure 3 shown, the electronic device 400 may include a processor 401. Optionally, the electronic device 400 may further include a memory 402 and / or a transceiver 403. Among them, the processor 401 is coupled to the memory 402 and the transceiver 403, such as being connected through a communication bus. In addition, the electronic device 400 may also be a chip, such as including a processor 401. At this time, the transceiver may be an input / output interface of the chip.

[0065] Next, in conjunction with Figure 3 each component of the electronic device 400, a specific introduction will be made:

[0066] Among them, the processor 401 is the control center of the electronic device 400, which can be a single processor or a collective term for multiple processing elements. For example, the processor 401 is one or more central processing units (CPUs), or can be an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. For example: one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs).

[0067] Optionally, the processor 401 can execute various functions of the electronic device 400 by running or executing software programs stored in the memory 402 and calling scientific data stored in the memory 402. For example, it can execute the Figure 1 supply chain management method based on big data shown above.

[0068] In a specific implementation, as an embodiment, the processor 401 can include one or more CPUs, such as Figure 3 CPU0 and CPU1 shown in

[0069] In a specific implementation, as an embodiment, the electronic device 400 can also include multiple processors. Each of these processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). Here, the processor can refer to one or more devices, circuits, and / or processing cores for processing scientific data (such as computer programs or instructions).

[0070] Among them, the memory 402 is used to store software programs for executing the solutions of the present application and is controlled by the processor 401 for execution. The specific implementation manner can refer to the above method embodiments and will not be elaborated here.

[0071] Optionally, the memory 402 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or may be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or scientific data structures and can be accessed by a computer, but is not limited thereto. The memory 402 may be integrated with the processor 401 or may exist independently and be coupled to the processor 401 through an interface circuit ( Figure 3 not shown) of the electronic device 400. The embodiments of the present application do not make specific limitations in this regard.

[0072] The transceiver 403 is used for communication with other electronic devices. For example, if the electronic device 400 is a terminal device, the transceiver 403 may be used for communication with a network device or with another terminal device. For another example, if the electronic device 400 is a network device, the transceiver 403 may be used for communication with a terminal device or with another network device.

[0073] Optionally, the transceiver 403 may include a receiver and a transmitter ( Figure 3 not shown separately). Among them, the receiver is used to implement the receiving function, and the transmitter is used to implement the transmitting function.

[0074] Optionally, the transceiver 403 may be integrated with the processor 401 or may exist independently and be coupled to the processor 401 through an interface circuit ( Figure 3 not shown) of the electronic device 400. The embodiments of the present application do not make specific limitations in this regard.

[0075] It can be understood that Figure 3 the structure of the electronic device 400 shown in the figure does not constitute a limitation on the electronic device. The actual electronic device may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0076] In addition, the technical effects of the electronic device 400 may refer to the technical effects of the method described in the above method embodiments, which will not be elaborated here.

[0077] It should be understood that the processor in the embodiments of the present application may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0078] It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DRRAM).

[0079] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer program or instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer program or instructions can be transmitted from one website, computer, server, or scientific data center to another website, computer, server, or scientific data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer, or a scientific data storage device such as a server or scientific data center that contains one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0080] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood by referring to the context before and after.

[0081] In the present application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0082] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0083] Those of ordinary skill in the art will realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0084] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0085] In several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0086] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, the functional units in each embodiment of this application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0088] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0089] As described above, the above are only specific implementation manners of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A supply chain management method based on big data, characterized in that Applied to an electronic device, the method includes: The electronic device obtains production data of a product within a preset time period, and obtains supply data of components provided by multiple supply chains within the preset time period. At least two of the multiple supply chains provide different components, and the components provided by the multiple supply chains are used to produce the product; The electronic device determines a supply coupling degree by analyzing the data discreteness between the production data of the product and the supply data of the components provided by the multiple supply chains. The supply coupling degree is the coupling degree between the components provided by the multiple supply chains and the production of the product, and includes: The electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane; The electronic device projects the supply data of the components provided by the multiple supply chains onto the virtual projection plane to obtain multiple second sets of discrete coordinate points on the virtual projection plane. The multiple second sets of discrete coordinate points correspond one-to-one to the supply data of the components provided by the multiple supply chains; The electronic device analyzes the coordinate discreteness between the first set of discrete coordinate points and the multiple second sets of discrete coordinate points to determine the supply coupling degree; The electronic device adjusts the multiple supply chains according to the supply coupling degree; The production data of the product includes: the number of the products produced at each of L time points, where L is an integer greater than 1, and the L time points are within the preset time period; the number of the products produced at each of the L time points is presented as a first bar chart on a display interface, and the display interface is parallel to the virtual projection plane; for the s-th time point among the L time points, where s is any integer from 1 to L, the number of the products produced at the s-th time point is Ps, and Ps is a positive integer. The number of the products produced at the s-th time point is presented as a first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps; On this basis, the electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first set of discrete coordinate points corresponding to the production data on the virtual projection plane, including: The electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane. The Ps discrete coordinate points are a first subset of discrete coordinate points s. When s traverses from 1 to L, a total of L first subsets of discrete coordinate points are obtained, and the L first subsets of discrete coordinate points are the first set of discrete coordinate points; The target supply chain is any one of the multiple supply chains. The supply data of the components provided by the target supply chain includes: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within the preset time period. The number of components provided at each of the K time points is presented as a second bar chart on the display interface, and the display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as the second bar chart #t on the display interface, and the height of the vertex of the second bar chart #t corresponds to the value of Qt. On this basis, the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane, obtaining multiple sets of second discrete coordinate points on the virtual projection plane, including: The electronic device projects the vertex of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a subset of second discrete coordinate points t. When t traverses from 1 to K, a total of K subsets of second discrete coordinate points are obtained. Any one of the K subsets of second discrete coordinate points is the target set of discrete coordinate points.

2. The method according to claim 1, characterized in that, The electronic device projects the vertex of the first bar chart #s onto the virtual projection plane Ps times, obtaining Ps discrete coordinate points on the virtual projection plane, including: For any one of the Ps projections, the electronic device randomly selects a target angle from the preset angle range, and randomly selects a target direction from all directions whose angle with the normal direction of the display interface is the target angle, and projects the vertex of the first bar chart #s onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

3. The method according to claim 1, characterized in that, The electronic device projects the vertex of the second bar chart #t onto the virtual projection plane Qt times, obtaining Qt discrete coordinate points on the virtual projection plane, including: For any one of the Qt projections, the electronic device randomly selects a target angle from the preset angle range, and randomly selects a target direction from all directions whose angle with the normal direction of the display interface is the target angle, and projects the vertex of the second bar chart #t onto the virtual projection plane along the target direction, obtaining a discrete coordinate point. The preset angle range is: [0°, 15°].

4. The method according to claim 1, characterized in that For the target set of discrete coordinate points, the electronic device analyzes the coordinate discreteness of the first set of discrete coordinate points and the multiple sets of second discrete coordinate points to determine the supply coupling degree, including: The electronic device determines, on the virtual projection plane, a first circular pattern centered on each discrete coordinate point in the first set of discrete coordinate points with a preset radius, obtaining multiple first circular patterns with the same number of discrete coordinate points as in the first set of discrete coordinate points; The electronic device determines, on the virtual projection plane, a second circular pattern centered on each discrete coordinate point in the target discrete coordinate point set with the preset radius, and obtains a plurality of second circular patterns having the same number as the number of discrete coordinate points in the target discrete coordinate point set; The electronic device determines the number of circular patterns overlapping with the plurality of first circular patterns among the plurality of second circular patterns, and determines the supply coupling degree between the components provided by the target supply chain and the production of the product according to the number of circular patterns, where the target supply chain is the supply chain corresponding to the target discrete coordinate point set.

5. A supply chain management system based on big data, characterized in that, The system includes an electronic device, and the electronic device is configured to: The electronic device obtains the production data of the product within a preset time period, and obtains the supply data of the components provided by each of the plurality of supply chains within the preset time period. At least two of the plurality of supply chains provide different components, and the components provided by the plurality of supply chains are used to produce the product; The electronic device determines the supply coupling degree by analyzing the data discreteness of the production data of the product and the supply data of the components provided by each of the plurality of supply chains. The supply coupling degree is the coupling degree between the components provided by the plurality of supply chains and the production of the product, including: The electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first discrete coordinate point set corresponding to the production data on the virtual projection plane; The electronic device projects the supply data of the components provided by each of the plurality of supply chains onto the virtual projection plane to obtain a plurality of second discrete coordinate point sets on the virtual projection plane, and the plurality of second discrete coordinate point sets correspond one-to-one to the supply data of the components provided by each of the plurality of supply chains; The electronic device analyzes the coordinate discreteness between the first discrete coordinate point set and the plurality of second discrete coordinate point sets to determine the supply coupling degree; The electronic device adjusts the plurality of supply chains according to the supply coupling degree; The production data of the product includes: the number of products produced at each of L time points, where L is an integer greater than 1, and the L time points are within the preset time period; the number of products produced at each of the L time points is presented as a first bar chart on the display interface, and the display interface is parallel to the virtual projection plane; for the s-th time point among the L time points, where s is any integer taking values from 1 to L, the number of products produced at the s-th time point is Ps, and Ps is a positive integer. The number of products produced at the s-th time point is presented as the first bar chart #s on the display interface, and the height of the vertex of the first bar chart #s corresponds to the value of Ps; On this basis, the electronic device projects the production data of the product onto a preset virtual projection plane to obtain a first discrete coordinate point set corresponding to the production data on the virtual projection plane, including: The electronic device projects the vertices of the first bar chart #s onto the virtual projection plane Ps times to obtain Ps discrete coordinate points on the virtual projection plane. The Ps discrete coordinate points form a first discrete coordinate point subset s. When s traverses from 1 to L, a total of L first discrete coordinate point subsets are obtained, and the L first discrete coordinate point subsets are the first discrete coordinate point set. The target supply chain is any one of the multiple supply chains. The supply data of the components provided by the target supply chain includes: the number of components provided at each of K time points, where K is an integer greater than 1. The K time points are within the preset time period. The number of components provided at each of the K time points is presented as a second bar chart on the display interface, and the display interface is parallel to the virtual projection plane. For the t-th time point among the K time points, where t is any integer from 1 to K, the number of components provided at the t-th time point is Qt, and Qt is a positive integer. The number of components provided at the t-th time point is presented as a second bar chart #t on the display interface, and the height of the vertex of the second bar chart #t corresponds to the value of Qt. On this basis, the electronic device projects the supply data of the components provided by each of the multiple supply chains onto the virtual projection plane to obtain multiple second discrete coordinate point sets on the virtual projection plane, including: The electronic device projects the vertices of the second bar chart #t onto the virtual projection plane Qt times to obtain Qt discrete coordinate points on the virtual projection plane. The Qt discrete coordinate points form a second discrete coordinate point subset t. When t traverses from 1 to K, a total of K second discrete coordinate point subsets are obtained, and any one of the K second discrete coordinate point subsets is the target discrete coordinate point set.

Images