Scene-based digital valuation method for products

Abstract

According to the technical scheme of the invention, the method comprises the steps: building a project scene through the information, such as a scene material item, a reference scale, a scale index, a tension coefficient, an extension coefficient, a manager man-hour price, a technician man-hour price, and the like; and a scale factor coefficient calculation module, a construction period factor coefficient calculation module, a technical complexity factor coefficient calculation module and a risk factor coefficient calculation module are introduced, so that the production product construction and service price can be accurately estimated. The method has the following advantages of high adaptability and accuracy: the scale index, the extension coefficient, the tension coefficient and the risk factor are innovatively integrated into the evaluation model, so that the adaptability and accuracy of the method under different project scales are enhanced. Specifically, the scale index can quantify the influence of the complex scene on the project cost, and it is ensured that the model can still maintain high-level accuracy when processing the complex scene. And the extension coefficient and the tension coefficient are introduced, so that the model can more accurately predict the influence of the project period on the project cost. Meanwhile, due to the introduction of risk factors, the uncertainty of a complex project is quantified, so that the overall evaluation precision of the model in a simple to complex scene is further improved.

Description

Technical Field

[0001] This invention relates to the field of product delivery support, and in particular to a scenario-based digital valuation method for products. Background Technology

[0002] China Telecom's digital product pricing services encompass a wide range of technologies and applications, including telecommunications networks, cloud computing, video networks, the Internet of Things (IoT), and artificial intelligence (AI). With the rapid development of technology, the construction and service scenarios for digital products are becoming increasingly complex and diverse. When faced with these complex and diverse scenarios, account managers often rely on conventional calculation methods to estimate the construction and service prices of digital products based on these scenarios—that is, by configuring basic information to arrive at a final estimate. Conventional calculation methods suffer from low accuracy; therefore, there is an urgent need for a scenario-based digital pricing method for digital products to improve estimation accuracy. Summary of the Invention

[0003] The purpose of this invention is to provide a scenario-based digital valuation method for production products. By configuring information such as material items, baseline scale, scale index, tension coefficient, extension coefficient, management personnel hourly rates, and skilled worker hourly rates for various construction and service scenarios of production products, the method estimates the direct costs, indirect costs, profits, and taxes of the construction and service of production products. Furthermore, it introduces modules for calculating scale factor coefficients, construction period factor coefficients, technical complexity factor coefficients, and risk factor coefficients to address the problem of low accuracy in estimating the price of construction and service of production products.

[0004] The technical solution is as follows: A scenario-based digital valuation method for products includes the following steps: Step S1: Configure the module, including the valuation parameter input module and the valuation calculation module, and configure the basic system information; Step S2: Select the scenario in the valuation parameter input module and input the parameters, including management personnel working hours, skilled workers' working hours, material quantity, profit margin and tax rate information; Step S3: The valuation calculation module includes a scale factor coefficient calculation module, a construction period factor coefficient calculation module, a technical complexity factor coefficient calculation module, and a risk factor coefficient calculation module. The valuation calculation module calculates the basic valuation, and then, based on the actual project, the scale factor coefficient calculation module, construction period factor coefficient calculation module, technical complexity factor coefficient calculation module, and risk factor coefficient calculation module are referenced to finally estimate the construction and service price of the output products.

[0005] Furthermore, it is characterized by: In step S3, the scale factor coefficient calculation module is used to calculate the scale factor coefficient based on the benchmark size, scale index, and the input actual size. The calculation formula is as follows:

[0006] in Represents the scale factor coefficient. Indicates the actual scale, denoted by , z represents the scale index. If the actual scale is smaller than the scale, it is calculated according to the scale.

[0007] Furthermore, it is characterized by: In step S3, the schedule factor coefficient calculation module is used to calculate the schedule factor coefficient based on the input percentage reduction in schedule, percentage extension of schedule, and the corresponding tension coefficient and extension coefficient of the scenario. The calculation formula is as follows:

[0008] in Represents the duration factor coefficient. Indicates the percentage reduction in construction time. Indicates the percentage of time extension. Indicates the tension coefficient. This represents the extension factor.

[0009] Furthermore, it is characterized by: In step S3, the technology complexity factor coefficient calculation module is used to calculate the technology complexity factor coefficient result based on the coefficients of each technology dimension corresponding to the selected scenario and the input weights of each technology dimension. The calculation formula is as follows:

[0010] in This represents the coefficient of the technology complexity factor. Represents the coefficients of each technical dimension. This represents the weights of each technical dimension, and the sum of the weights of each technical dimension equals 1. ), The technical dimension includes, but is not limited to: the application of new technologies and technical requirements.

[0011] Furthermore, it is characterized by: In step S3, the risk factor coefficient calculation module needs to be used. Based on the risk item coefficients corresponding to the selected scenario and the input weights of each risk item, the risk factor coefficient results can be calculated. The calculation formula is as follows:

[0012] in Represents the risk factor coefficient. This represents the coefficient of each risk item. This represents the weight of each risk item, and the sum of the weights of all risk items equals 1. ); Risks include, but are not limited to: technological risks and management risks.

[0013] This technical solution is a scenario-based digital valuation method for product outputs. It constructs a project scenario using information such as scenario material items, benchmark scale, scale index, tension coefficient, extension coefficient, management personnel hourly rates, and skilled worker hourly rates. It introduces modules for calculating scale factor coefficients, duration factor coefficients, technical complexity factor coefficients, and risk factor coefficients, enabling accurate estimation of the construction and service prices of product outputs. It possesses the following advantages: High adaptability and accuracy: This method innovatively integrates the scale index, extension coefficient, tension coefficient, and risk factor into the valuation model to enhance its adaptability and accuracy across different project scales. Specifically, the scale index quantifies the impact of complex scenarios on project costs, ensuring the model maintains a high level of accuracy when handling complex scenarios. The introduction of the extension coefficient and tension coefficient allows the model to more accurately predict the impact of project duration on project costs. Simultaneously, the introduction of the risk factor quantifies the uncertainty of complex projects, further improving the overall valuation accuracy of the model when facing simple to complex scenarios. This method has been optimized for telecommunications product output scenarios. Compared to traditional valuation methods that use fixed project costs and labor unit prices, this method, by building project scenarios and granting users the right to customize and adjust labor unit prices and flexibly set relevant coefficients, ensures that the valuation results are more closely aligned with actual business needs, effectively improving the practicality of project evaluation. This method optimizes the user experience by innovatively introducing a project scenario construction mechanism, replacing the tedious process of sifting through lengthy valuation lists to find applicable projects. Simultaneously, the completed scenario models can be flexibly reused in subsequent quotations, which not only greatly improves work efficiency but also significantly reduces the workload of frontline staff, achieving workflow optimization and simplification. Attached Figure Description

[0014] Figure 1 : A flowchart of a method according to an embodiment of the present invention; Figure 2 : A module structure diagram of an embodiment of the present invention. Detailed Implementation

[0015] The following description, with reference to the accompanying drawings, illustrates several preferred embodiments of the present invention to make its technical content clearer and easier to understand. The present invention can be embodied in many different forms, and the scope of protection of the present invention is not limited to the embodiments mentioned herein.

[0016] In the accompanying drawings, components with the same structure are indicated by the same numerical designation, and components with similar structures or functions are indicated by similar numerical designations. The dimensions and thicknesses of each component shown in the drawings are arbitrary, and the present invention does not limit the dimensions and thicknesses of each component. To make the illustrations clearer, the thickness of some components has been appropriately exaggerated in the drawings.

[0017] A preferred embodiment of the present invention is as follows: Figure 1 The following describes a scenario-based digital valuation method for products: Step S1: In the configuration module, configure the basic system information.

[0018] Step S2: In the valuation parameter input module, select the scenario and input the parameters: management personnel working hours, skilled workers' working hours, material quantity, profit margin, tax rate, etc.

[0019] Step S3: In the valuation calculation module, the scale factor coefficient calculation module, construction period factor coefficient calculation module, technical complexity factor coefficient calculation module, and risk factor coefficient calculation module are called to solve the problem of low accuracy in estimating the construction and service prices of the products.

[0020] To achieve the above objectives, the present invention adopts the following technical solution, including: The configuration module is used to configure basic system information, including: scenarios, material items included in the scenario, baseline size, size index, tension coefficient, extension coefficient, management personnel hourly rates, skilled worker hourly rates, and other information.

[0021] The valuation parameter input module allows users to select a scenario and input parameters such as management personnel working hours, skilled workers' working hours, material quantity, profit margin, and tax rate.

[0022] The valuation calculation module calculates the basic valuation, and then, based on the actual project, it uses the scale factor coefficient calculation module, construction period factor coefficient calculation module, technical complexity factor coefficient calculation module, and risk factor coefficient calculation module to finally estimate the construction and service price of the products.

[0023] like Figure 2 The image shows an embodiment of the method of the present invention. In this embodiment, the scenario-based digital valuation method for product data is applied to the Shanghai Telecom Smart Cloud Navigation Platform, and it is used in the product data construction and service valuation process of the present invention. The specific steps are as follows: Step S1: In the configuration module, configure the basic system information.

[0024] In a specific embodiment of the present invention, the system basic information includes, but is not limited to: scenario, material items corresponding to the scenario, benchmark size, size index, tension coefficient, and extension coefficient.

[0025] The scenarios include, but are not limited to, the following: worry-free office space for businesses in office buildings, restaurant chains in supermarkets and shopping malls, live streaming network optimization in commercial complexes, and corridor wiring improvement in streets, towns, and communities.

[0026] Step S2: In the valuation parameter input module, select the scenario and input the parameters: management personnel working hours, skilled workers' working hours, material quantity, profit margin, tax rate, etc.

[0027] The conventional valuation model is as follows:

[0028] in This indicates the estimated cost of construction and services for the products produced; Indicates direct costs. Indicates indirect costs, Indicates profit, Indicates tax; Step S21: In this embodiment, the direct cost is calculated based on the current input parameters: scenario, material items corresponding to the scenario, material usage, material price, worker hours, and worker hour unit price. direct fee It equals the cost of materials plus the cost of labor. The calculation formula is as follows:

[0029] in Indicates direct costs. This indicates the amount of each material used in the construction project of the selected scenario. This indicates the unit price of each material; This indicates the working hours of each skilled worker. This indicates the hourly rate for each skilled worker.

[0030] Step S22: In this embodiment, based on the input parameters: project management personnel working hours, project management personnel hourly rate, and project office expenses, indirect costs are calculated using the following formula:

[0031] in Indicates indirect costs, This indicates the working hours of each manager. This indicates the hourly rate for each manager. This refers to office expenses.

[0032] Step S23: In this embodiment, the profit is calculated based on the direct and indirect costs obtained in steps S21 and S22, and the profit margin corresponding to the selected scenario. The calculation formula is as follows:

[0033] in Indicates profit, Indicates direct costs. Indirect costs, This indicates the profit margin.

[0034] Step S24: In this embodiment, the tax is calculated based on the estimated value and the input parameter tax rate. The calculation formula is as follows:

[0035] in Indicates tax amount. Indicates tax rate Step S3: In this embodiment, a module for calculating the scale factor coefficient, a module for calculating the construction period factor coefficient, a module for calculating the technical complexity factor coefficient, and a module for calculating the risk factor coefficient are introduced to obtain the result values ​​of each factor coefficient. The new valuation model is as follows:

[0036] in This indicates the estimated cost of construction and services for the products produced. Indicates direct costs. Indicates indirect costs, Indicates profit, Indicates tax; This indicates the information returned by the scale factor coefficient calculation module. This indicates the information returned by the project duration factor coefficient calculation module. This indicates the information returned by the technology complexity factor coefficient calculation module. This indicates the information returned by the risk factor coefficient calculation module.

[0037] Step S31, in the embodiment, direct costs Indirect costs ,profit The calculation method is the same as step S2.

[0038] Step S32: In this embodiment, when it is necessary to address the linear impact of project size on cost, a scale factor coefficient calculation module is introduced. This module can calculate the scale factor coefficient based on the baseline size, scale index, and the input actual size corresponding to the selected scenario. The calculation formula is as follows:

[0039] in Represents the scale factor coefficient. Indicates the actual scale, denoted by , z represents the scale index. If the actual scale is smaller than the scale, it is calculated according to the scale.

[0040] The scale index describes the rate at which costs change with scale, and its empirical range is: Adjustments can also be made during the valuation process.

[0041] The specific explanation is as follows: When Gr > Gb (actual size is larger than the baseline size), the actual size Gr is used for calculations. When Ks < 1, the cost decreases gradually as the actual size increases, exhibiting economies of scale (cost reduction).

[0042] When Gr≤Gb (actual size is smaller than the baseline size), the baseline size Gb is used directly to replace Gr for calculation, so Ks=1, and there is no need to adjust using the size factor coefficient.

[0043] Step S33: In this embodiment, when it is necessary to consider the impact of time changes on project costs, a schedule factor coefficient calculation module is introduced. Based on the input percentage reduction in schedule, percentage extension of schedule, and the corresponding tension coefficient and extension coefficient for the scenario, the schedule factor coefficient is calculated. The calculation formula is as follows:

[0044] in Represents the duration factor coefficient. Indicates the percentage reduction in construction time. Indicates the percentage of time extension. Indicates the tension coefficient. This represents the extension factor.

[0045] The empirical range for the tension factor is: Adjustments can also be made during the valuation process.

[0046] The empirical range of the extension coefficient is: Adjustments can also be made during the valuation process.

[0047] The specific explanation is as follows: The construction period is compressed (Wa>0, Wb=0), Kt>1, and Kt increases as Wa and Ua increase.

[0048] Extending the construction period (Wa=0, Wb>0), Kt<1, Kt decreases as Wb increases.

[0049] Simultaneous compression and extension (Wa>0, Wb>0) > Then Kt > 1 (net cost increases) < Then <1Kt<1 (net cost reduction) Step S34: In this embodiment, when it is necessary to consider the additional cost of high-difficulty technical modules, a complexity factor coefficient calculation module is introduced. This module can calculate the technical complexity factor coefficient based on the coefficients of each technical dimension corresponding to the selected scenario and the input weights of each technical dimension. The calculation formula is as follows:

[0050] in This represents the coefficient of the technology complexity factor. Represents the coefficients of each technical dimension. This represents the weights of each technical dimension, and the sum of the weights of each technical dimension equals 1. ).

[0051] The technical dimension includes, but is not limited to: the application of new technologies and technical requirements.

[0052] The specific explanation is as follows: Technical dimension coefficient , representing the coefficient for each technical item, such as the coefficient for new technology application being 1.2 and the coefficient for technical requirements being 1.1.

[0053] Technical dimension weight This represents the importance of each technology; for example, new technology application is 0.6, and technical requirements are 0.4.

[0054] Simultaneously, the weights of all technologies must sum to 1. Once the technology dimension coefficients are determined, the calculation results of the technology complexity factor coefficient can be affected by adjusting the proportion of technology weights.

[0055] Step S35: In this embodiment, when it is necessary to pre-add risk calculation logic to enhance the volatility resistance of the quote, a risk factor coefficient calculation module is introduced. This module can calculate the risk factor coefficient based on the risk item coefficients corresponding to the selected scenario and the input weights of each risk item. The calculation formula is as follows:

[0056] in Represents the risk factor coefficient. This represents the coefficient of each risk item. This represents the weight of each risk item, and the sum of the weights of all risk items equals 1. ).

[0057] Risks include, but are not limited to: technological risks and management risks.

[0058] illustrate: Risk coefficient The score represents the severity of each risk item. For example, the technical risk coefficient is 1.2 and the management risk coefficient is 1.1. The higher the score, the greater the risk.

[0059] Risk item weight This represents the importance of each risk item; for example, technical risk is 0.7, and management risk is 0.3.

[0060] Simultaneously, the sum of the weights of all risk items must be 1. Once the risk item coefficients are determined, the calculation results of the risk item factor coefficients can be affected by adjusting the weight ratio of each risk item.

[0061] Step S36: In this embodiment, the tax is calculated based on the input parameter tax rate. The calculation formula is as follows:

[0062] in Indicates tax amount. This indicates the tax rate. The calculation formula now includes values ​​returned by the factor coefficient calculation module.

[0063] Another preferred embodiment of the present invention: Project Case Study: FTTR+B Design Scheme and Cost Estimate for a Company The requirement scenario is structured cabling. The corresponding material items include wiring and other. The specific related operations for wiring are: wiring (surface wiring), laying plastic cable trays (less than 100mm wide), wiring (cables) in network floor / cable trays / cable racks, drilling holes through building walls (brick walls), cable patch cords (including connectors and label making), and other is environmental cleaning.

[0064] Valuation using conventional methods Valuation plan:

[0065] Methodological valuation: The method uses the following calculations for each factor coefficient module:

[0066] Valuation methods:

[0067] In this case study, a dynamic valuation model was constructed by introducing modules for calculating scale factor coefficients, construction period factor coefficients, technical complexity factor coefficients, and risk factor coefficients. Based on the actual scale of the configured line, the benchmark scale, and the scale index value, the scale factor coefficient value was calculated. Since the actual scale is larger than the benchmark scale, the final result is 0.9216, indicating a lower estimated cost. Based on changes in the construction period, the construction period factor coefficient value was calculated. In this project, due to the reduced construction period, the final result is 1.2, indicating a higher estimated cost. Based on the different technical complexities of each construction item, the technical complexity factor coefficient value was calculated. Some construction items in this project, such as wiring within cable trays and brick wall penetrations, have a certain degree of technical complexity, resulting in a final result of 1.16, indicating a higher estimated cost. Based on project risk budgeting, such as project technical risk and project management risk, the risk factor coefficient value was calculated. In this project, the final result is 1.17, indicating a higher estimated cost. After comprehensive calculation, the estimated cost increased from the original 7173.64 to 10767.39, which is more in line with the actual situation of the project and the valuation accuracy is higher.

[0068] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A scenario-based digital valuation method for products, comprising the following steps: Step S1: Configure the module, including the valuation parameter input module and the valuation calculation module, and configure the basic system information; Step S2: Select the scenario in the valuation parameter input module and input the parameters, including management personnel working hours, skilled workers' working hours, material quantity, profit margin and tax rate information; Step S3, the valuation calculation module includes a scale factor coefficient calculation module, a construction period factor coefficient calculation module, a technical complexity factor coefficient calculation module, and a risk factor coefficient calculation module. The valuation calculation module calculates the basic valuation, and then, based on the actual project, it uses the scale factor coefficient calculation module, construction period factor coefficient calculation module, technical complexity factor coefficient calculation module, and risk factor coefficient calculation module to finally estimate the construction and service price of the products.

2. The method as described in claim 1, characterized in that: In step S3, the scale factor coefficient calculation module is used to calculate the scale factor coefficient based on the benchmark size, scale index, and the input actual size. The calculation formula is as follows: in Represents the scale factor coefficient. Indicates the actual scale, denoted by , z represents the scale index. If the actual scale is smaller than the scale, it is calculated according to the scale.

3. The method as described in claim 1, characterized in that: In step S3, the schedule factor coefficient calculation module is used to calculate the schedule factor coefficient based on the input percentage reduction in schedule, percentage extension of schedule, and the corresponding tension coefficient and extension coefficient of the scenario. The calculation formula is as follows: in Represents the duration factor coefficient. Indicates the percentage reduction in construction time. Indicates the percentage delay in construction period. Indicates the tension coefficient. This represents the extension factor.

4. The method as described in claim 1, characterized in that: In step S3, the technology complexity factor coefficient calculation module is used to calculate the technology complexity factor coefficient result based on the coefficients of each technology dimension corresponding to the selected scenario and the input weights of each technology dimension. The calculation formula is as follows: in This represents the coefficient of the technology complexity factor. Represents the coefficients of each technical dimension. This represents the weights of each technical dimension, and the sum of the weights of each technical dimension equals 1. ), The technical dimension includes, but is not limited to: the application of new technologies and technical requirements.

5. The method as described in claim 1, characterized in that: In step S3, the risk factor coefficient calculation module needs to be used. Based on the risk item coefficients corresponding to the selected scenario and the input weights of each risk item, the risk factor coefficient results can be calculated. The calculation formula is as follows: in Represents the risk factor coefficient. This represents the coefficient of each risk item. This represents the weight of each risk item, and the sum of the weights of all risk items equals 1. ); Risks include, but are not limited to: technological risks and management risks.

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