Intelligent construction supply chain management system

Abstract

The invention belongs to the technical field of supply chains, and particularly relates to an intelligent construction supply chain management system which comprises a project information configuration module, a supplier information configuration module and a purchasing platform. The project information configuration module is used for creating a bid invitation announcement; the supplier information configuration module is used for inputting and uploading an electronic bidding document; the bid invitation announcements are checked through the purchasing platform, the bid invitation announcements consistent with the products operated by the suppliers are selected to make the electronic bidding documents, the electronic bidding documents are delivered to the purchasing platform, and the electronic bidding documents and the suppliers can be made according to the basic information of the electronic bidding documents and the suppliers based on a data processing module arranged in the purchasing platform. According to the method, the plurality of bidding suppliers are evaluated, then the first decision suggestion is output based on the evaluation, and the first decision suggestion can decide the optimal supplier for the project party, so that the risk between the project party and the suppliers is reduced, the supply chain management is optimized, and the transaction is more convenient.

Description

Technical Field

[0001] The present invention belongs to the technical field of supply chain, and specifically relates to an intelligent construction supply chain management system. Background Art

[0002] In the civil engineering field, the project party needs to purchase materials or products in the market according to the project progress and inventory quantity. In order to maximize the benefits, it usually purchases through bidding or reaches a cooperation with the supplier. In a civil engineering project, a stable supply chain is formed to ensure the stable progress of the civil engineering project.

[0003] In the supply chain, how to select suppliers and optimize the supply chain is the basis for risk avoidance and project progress optimization. In the existing construction engineering field, after the project party puts forward requirements, it is necessary to create a tender announcement according to the requirements and publish it on the website. Suppliers can bid according to the displayed tender announcement. After analysis, the project party selects the optimal supplier for cooperation and signs a contract to protect the interests of both parties; However, an excellent supply chain requires careful screening of suppliers. In the existing technology, the analysis of suppliers mainly relies on the price recorded in the tender document, lacking the analysis of various evaluation indicators of suppliers, resulting in the situation that after the contract is signed during the cooperation process, the supplier may not be able to deliver the goods on the specified date or the delivered goods have defects, affecting the use of the project party.

[0004] Therefore, the present invention provides an intelligent construction supply chain management system. Summary of the Invention

[0005] In order to make up for the deficiencies of the existing technology and solve at least one of the technical problems proposed in the background art.

[0006] The technical solution adopted by the present invention to solve its technical problems is as follows: An intelligent construction supply chain management system described in the present invention includes: A project information configuration module for creating a tender announcement; A supplier information configuration module for inputting and uploading an electronic tender document; A procurement platform for displaying the tender announcement, receiving the electronic tender document, and outputting a first decision-making suggestion; The procurement platform includes a display module and a data analysis module. The display module is used for displaying the tender announcement; The data analysis module includes an electronic tender document receiving unit and an evaluation unit; The electronic tender document receiving unit is used for receiving the electronic tender document uploaded by the supplier; The evaluation unit is used for analyzing the electronic tender document and outputting a first decision-making suggestion; the first decision-making suggestion is used for matching suppliers for the project party.

[0007] Preferably, the project information configuration module includes a requirement entry and review unit, which is used for the project party to create a tender announcement and review the tender announcement; the project information configuration module further includes a first display unit, which is used to display the first decision-making suggestion output by the data analysis module.

[0008] Preferably, the procurement platform further includes a data processing module, which includes a tender announcement release unit and a tender announcement management unit; The tender announcement release unit is used to upload the tender announcement to the display module; The tender announcement management unit is used to store and manage the tender announcement; The procurement platform further includes a supplier information storage module, which is used to enter and update the basic information corresponding to the supplier; the basic information is the supplier qualification, the date of accessing the procurement platform, historical transaction records and evaluations.

[0009] Preferably, the method for analyzing the electronic tender and outputting the first decision-making suggestion is as follows: Obtain the supplier's electronic tender and the supplier's basic information; Based on the supplier's basic information and the electronic tender, establish evaluation indicators, and the evaluation indicators include price, quality, technology and service; formulate evaluation criteria and assign weights for each evaluation indicator; the evaluation criteria are used to calculate the scores of each evaluation indicator of the supplier; the weights are based on establishing a hierarchical structure model, determining the relative importance of each evaluation indicator through pairwise comparison, and obtaining the weights; Preferably, combine the scores of each evaluation indicator of the supplier with the weights based on the decision matrix to calculate the comprehensive score ; Take the comprehensive score as the evaluation result, and output the first decision-making suggestion according to the evaluation result; the first decision-making suggestion is to screen the supplier corresponding to the maximum value of the comprehensive score as the first supplier; The method for calculating the comprehensive score by combining weights is as follows: Obtain the weights of each evaluation indicator; Obtain the quantified scores of each evaluation indicator of the supplier ; According to the formula, calculate the standardized scores of each evaluation indicator ; where, is the minimum score of the th evaluation indicator of all suppliers, is the The maximum score of each evaluation index; Calculate the standardized scores of all evaluation indexes in sequence ; Conduct carbon emission accounting and standardize the carbon emissions to obtain the standardized score of carbon emissions ; Among them, is the carbon emission of the supply chain, is the lower limit of carbon emissions, is the upper limit of carbon emissions; Calculate the comprehensive score of the supplier according to the formula ; Among them, is the weight of each evaluation index, is the number of evaluation indexes.

[0010] Preferably, the method for analyzing the electronic tender document and outputting the first decision-making suggestion further includes: Obtain the cumulative access time of each supplier to the procurement platform based on the basic information of the supplier and the cumulative sales volume ; Obtain the time adjustment coefficient of each supplier according to the formula and the sales volume adjustment coefficient ; Among them, is the set time threshold; Among them, is the maximum sales volume of the same type of products among each supplier, is the minimum sales volume of the same type of products among each supplier; Based on the calculated time adjustment coefficient and the sales volume adjustment coefficient , solve the coefficient's influence on the comprehensive score ; Based on the calculated coefficient's influence on the comprehensive score , use it as the updated evaluation result and output the updated first decision-making suggestion.

[0011] Preferably, the supplier information configuration module includes an electronic tender document input and upload unit and a second display unit. The electronic tender document input and upload unit is used to create and upload an electronic tender document; the second display unit is used to display the second decision-making suggestion.

[0012] Preferably, the supplier information configuration module further includes a demand analysis module; The requirement analysis module is used to analyze the trend of demand changes according to the tender announcement; The method for analyzing demand changes according to the tender announcement is as follows: Regularly collect tender announcements on the procurement platform; Establish a database to store tender announcements and obtain historical data; the historical data is the collected tender announcements arranged in chronological order; Based on the time series analysis model and historical data, predict the trend of demand changes and output the prediction results; According to the prediction results of the time series analysis model, output the second decision-making suggestion; the second decision-making suggestion is used to help suppliers adjust their inventory strategies, and the inventory strategies include clearing slow-moving inventory and replenishing potential best-selling products; The time series analysis model is any one of the ARIMA model, the SARIMA model, and the Prophet model.

[0013] Preferably, the project information configuration module further includes a contract management unit, and the contract management unit is used to generate and manage supplier contracts; When the first decision-making suggestion is adopted, the contract management unit generates a contract based on the electronic tender and saves it in the contract management unit after the supplier signs it.

[0014] Preferably, the evaluation unit is further used for risk early warning; the method for the evaluation unit to conduct risk early warning is as follows: Regularly store the comprehensive score of the coefficient impact of the same type of products of the supplier ; Compare the comprehensive score of the coefficient impact with the risk threshold: When the comprehensive score of the coefficient impact is lower than the risk threshold, send a warning prompt to the project parties in cooperation; the warning prompt is displayed on the first display unit; Otherwise, do not send a warning prompt.

[0015] The beneficial effects of the present invention are as follows: For the intelligent construction supply chain management system described in the present invention, by viewing the tender announcements on the procurement platform, selecting the tender announcements consistent with the products operated by the suppliers to make electronic tenders, and submitting the electronic tenders to the procurement platform, based on the data processing module set in the procurement platform, it is possible to evaluate multiple tendering suppliers based on the electronic tenders and the basic information of the suppliers, and then output the first decision-making suggestion based on the evaluation. The first decision-making suggestion can help the project parties select the optimal supplier, thereby reducing the risks between the project parties and the suppliers, optimizing the supply chain management at the same time, and making the transaction more convenient. Brief Description of the Drawings

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flowchart of the present invention. Specific embodiments

[0018] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0019] As Figure 1 shown, an intelligent construction supply chain management system described in an embodiment of the present invention includes a project information configuration module, a supplier information configuration module, and a procurement platform; the project information configuration module is used to create a tender announcement; the supplier information configuration module is used to enter and upload an electronic tender; the procurement platform is used to display the tender announcement, receive the electronic tender, and output a first decision-making suggestion; the procurement platform includes a display module and a data analysis module, the display module is used to display the tender announcement; the data analysis module includes an electronic tender receiving unit and an evaluation unit; the electronic tender receiving unit is used to receive the electronic tender uploaded by the supplier; the evaluation unit is used to analyze the electronic tender and output a first decision-making suggestion; the first decision-making suggestion is used to match a supplier for the project party.

[0020] Based on the above, in an embodiment of the present invention, in order to optimize supply chain management, by setting up a project information configuration module, the project party can create a tender announcement online and synchronously upload it to the procurement platform. The procurement platform provides a function similar to a bridge for suppliers and the project party. After the tender announcement is released, the supplier can view the tender announcement through the procurement platform, select a tender announcement consistent with the products operated by the supplier to make an electronic tender, and submit the electronic tender to the procurement platform. Based on the data processing module set in the procurement platform, it is possible to evaluate multiple tendering suppliers based on the electronic tender and the basic information of the supplier, and then output a first decision-making suggestion based on the evaluation. The first decision-making suggestion can help the project party decide on the optimal supplier, thereby reducing the risks between the project party and the supplier, optimizing supply chain management at the same time, and making transactions more convenient.

[0021] In one embodiment, the project information configuration module includes a requirement entry and review unit, and the requirement entry and review unit is used for the project party to create and review a tender announcement; the project information configuration module further includes a first display unit for displaying the first decision-making suggestion output by the data analysis module.

[0022] In one embodiment, the procurement platform further includes a data processing module, and the data processing module includes a tender announcement release unit and a tender announcement management unit; The tender announcement release unit is used to upload the tender announcement to the display module; The tender announcement management unit is used to store and manage the tender announcement; The procurement platform further includes a supplier information storage module, which is used to input and update the basic information corresponding to the supplier; the basic information includes supplier qualifications, the date of accessing the procurement platform, historical transaction records, and evaluations.

[0023] With the digitization of the supply chain, after the project party creates a tender announcement, suppliers can select the tender announcement to bid. However, the digitized supply chain may not be able to identify the risks of suppliers, which may lead to problems such as lack of supplier qualifications and high risks. Furthermore, after the project party signs a contract with the supplier, the project progress may be delayed. In an embodiment of the present invention, based on the digitized supply chain, through the tender announcement created by the project party, it can be displayed through the display module, and then the supplier can select the tender announcement displayed in the display module and bid. In order to avoid risk problems, the procurement platform also needs to use the supplier information storage module to record the supplier qualifications, the date of accessing the procurement platform, historical transaction records, and evaluations when the supplier accesses the procurement platform. Among them, supplier qualifications are used to measure whether the supplier is regular, which is a prerequisite for establishing an effective transaction. The date of accessing the procurement platform can be used to characterize the supplier's experience in product transactions. Generally speaking, the longer the cumulative time for the supplier to access the procurement platform, the more trustworthy the supplier is, and vice versa. The transaction records and evaluations can be used to measure the product quality and service of the supplier; by inputting and updating the basic information of the supplier, the timeliness of the procurement platform and supply chain information can be ensured, and potential risks can be avoided, resulting in damage to the interests of the project party and the procurement platform.

[0024] In one embodiment, the method for analyzing the electronic tender and outputting the first decision-making suggestion is as follows: Obtain the supplier's electronic tender and the supplier's basic information; Based on the supplier's basic information and the electronic tender, establish evaluation indicators, and the evaluation indicators include price, quality, technology, and service; among them, the supplier's basic information includes qualifications, the time of accessing the procurement platform, historical transaction records, and evaluations, etc. The electronic tender records the products required by the project party and the corresponding prices. Through the above information, evaluation indicators are constructed. In an embodiment of the present invention, the evaluation indicators mainly include price, quality, technology, and service; among them, the price is directly obtained from the electronic tender, and the quality, technology, and service can be obtained through expert scoring of historical transaction records and evaluations. Establish evaluation criteria and assign weights for each evaluation indicator; the evaluation criteria are used to calculate the scores of each evaluation indicator of the supplier; the weights are determined by establishing a hierarchical structure model, comparing pairwise to determine the relative importance of each evaluation indicator, and obtaining the weights. As mentioned above, establishing evaluation indicators is used to evaluate the comprehensive score of the supplier, and the comprehensive score is used to measure the risks of multiple suppliers. That is, the higher the comprehensive score of the supplier, the smaller the risk generated by trading with it, and vice versa. After establishing the evaluation indicators, it is also necessary to formulate evaluation criteria. The evaluation criteria can standardize multiple evaluation indicators, which is conducive to the calculation of the comprehensive score. For example: Formulate specific scoring criteria for each evaluation indicator, for example: Price: The lowest quoted price gets 10 points, and 0.5 points are deducted for every 1% higher than the benchmark price.

[0025] Delivery: Timely delivery gets 10 points, and 1 point is deducted for every day of delay.

[0026] Quality: Passing the quality certification gets 10 points, and 2 points are deducted for each quality problem.

[0027] Technology: Technological leadership gets 10 points, and points are deducted for technological backwardness.

[0028] Service: Customer satisfaction above 90% gets 10 points, and 0.5 points are deducted for every 1% lower. Based on the above evaluation criteria, the evaluation indicators of the supplier can be transformed into standardized scores, and a decision matrix can be established based on this.

[0029] Combine the scores of each evaluation indicator of the supplier with the weights based on the decision matrix to calculate the comprehensive score. ; Take the comprehensive score as the evaluation result, and output the first decision recommendation according to the evaluation result; the first decision recommendation is to screen the supplier corresponding to the maximum value of the comprehensive score as the first supplier. The method of calculating the comprehensive score by combining weights is as follows: Obtain the weights of each evaluation indicator. Obtain the quantified scores of each evaluation indicator of the supplier. ; According to the formula, calculate the standardized scores of each evaluation indicator. ; Among them, is the minimum score of the th evaluation indicator for all suppliers, is the maximum score of the th evaluation indicator for all suppliers. Calculate the standardized scores of all evaluation indicators in sequence ; Conduct carbon emission accounting, standardize the carbon emissions, and obtain the standardized scores of carbon emissions ; Among them, is the carbon emissions of the supply chain, is the lower limit of carbon emissions, is the upper limit of carbon emissions; Calculate the comprehensive score of the supplier according to the formula ; Among them, is the weight of each evaluation indicator, is the number of evaluation indicators.

[0030] The weights are obtained by using the hierarchical structure model. By evaluating the relative importance of each evaluation indicator and then setting the weights based on the relative importance. In an embodiment of the present invention, taking steel as an example, the weights are respectively set as follows: The weight of the price score is ; The weight of the quality score is ; The weight of the delivery score is ; The weight of the technology score is ; The weight of the service score is ; Among them, by obtaining the importance of each evaluation indicator according to the hierarchical structure model and thus obtaining the weights, it can be seen that the project party has the same importance for the price, technology, and delivery of steel, the quality is the most important, and the service is the least important; at the same time, it can be understood that if the products are different, the weights of the various evaluation indicators for the products can be adjusted adaptively; In addition, with the increasing global attention to climate change issues, the project party may need to report the carbon emissions in its supply chain and may face legal risks or economic penalties due to exceeding carbon emissions; calculating the carbon emissions means calculating the carbon emissions of the supply chain after the project party and the supplier establish the supply chain, mainly including the carbon emissions generated in the following processes: Carbon emissions during the production process: Carbon emissions will be generated during the energy consumption, raw material processing, waste treatment, etc. required for producing products; Transportation emissions: Carbon emissions will be generated when using fuel or gas vehicles for product transportation Raw material acquisition: Carbon emissions will also be generated during the extraction, processing, and transportation of raw materials; Product packaging: Carbon emissions may be involved in the production, transportation of packaging materials, and the packaging process itself; Product Use and Disposal: The energy consumption during product use and the disposal of products after use (such as recycling, landfilling, or incineration) also generate carbon emissions.

[0031] When calculating the carbon emissions of the supply chain, it is necessary to separately calculate the carbon emissions in multiple links such as product raw material acquisition, manufacturing, transportation, storage, and disposal, and then sum them up to obtain the carbon emissions of the supply chain; According to the carbon emission requirements of the project party, set , ; The purpose of establishing a decision matrix is to comprehensively evaluate multiple suppliers. Exemplarily: The following are the scores of three suppliers for five evaluation indicators, as shown in Table 1 below: Table 1

[0032] The standardized scores of Supplier A for each evaluation indicator are:

[0033] The standardized score of Supplier A's carbon emissions is:

[0034] The standardized scores of Supplier B for each evaluation indicator are:

[0035] The standardized score of Supplier B's carbon emissions is:

[0036] The standardized scores of Supplier C for each evaluation indicator are:

[0037] The standardized score of Supplier C's carbon emissions is:

[0038] Based on the above calculations, then: The comprehensive score of Supplier A is:

[0039] The comprehensive score of Supplier B is:

[0040] The comprehensive score of Supplier C is:

[0041] Based on the above calculations, the comprehensive scores of Supplier A, Supplier B, and Supplier C are 0.50, 0.42, and 0.15 respectively; based on this, in the order of the comprehensive score size, the comprehensive score value of Supplier A is the largest. Therefore, the first decision recommendation is to screen Supplier A as the first supplier, and by analogy, Supplier B is the second supplier, that is, the alternative supplier; through the above calculations, multi-dimensional comprehensive scoring of different suppliers is carried out based on each evaluation index, which can help the project party select suppliers and avoid potential risks. At the same time, due to the requirements of carbon emissions, the carbon emissions of the supply chain established between the project party and the suppliers also need to be taken into consideration. For the same demand plan, establishing a supply chain with different suppliers will result in different carbon emissions. Therefore, the lower the carbon emissions, the more environmentally friendly it is. Therefore, the calculation of the comprehensive score also needs to introduce the carbon emissions, and the comprehensive score of different suppliers is adjusted through the standardized score of carbon emissions. It can be understood that if the comprehensive scores of two suppliers are exactly the same, when evaluating in the evaluation unit, one of the suppliers may be arbitrarily selected as the first supplier. However, due to the lack of consideration of the carbon emission requirements, it may lead to the selected supplier being farther from the project's receiving location, resulting in more carbon emissions, or the products produced by the selected supplier will generate more carbon emissions, causing an impact on the environment. Based on the above, introducing carbon emissions as an influencing factor to adjust the comprehensive score of suppliers can effectively reduce the carbon emissions of the supply chain and at the same time reduce the damage to the environment.

[0042] In one embodiment, the method for analyzing the electronic tender document and outputting the first decision recommendation further includes: Obtaining the cumulative time for each supplier to access the procurement platform based on the basic information of the suppliers and the cumulative sales volume ; Obtaining the time adjustment coefficient for each supplier according to the formula and the sales volume adjustment coefficient ; Among them, is the set time threshold; Among them, is the maximum sales volume of the same type of product among each supplier, is the minimum sales volume of the same type of product among each supplier; Based on the calculated time adjustment coefficient and the sales volume adjustment coefficient , solving the coefficient to affect the comprehensive score ; Based on the calculated coefficient to affect the comprehensive score as the updated evaluation result and output the updated first decision recommendation.

[0043] From the historical data, when the comprehensive score is calculated, if the comprehensive scores of two suppliers are basically the same, the procurement platform will use the maximum comprehensive score as the judgment condition and may randomly select a supplier as the first supplier; however, the access time to the procurement platform and the sales volume generated within the cumulative time can significantly affect the evaluation of suppliers by the data analysis module. For example, if the access time of a supplier to the procurement platform is too short, the data volume of the two evaluation indicators of delivery and service is too small, resulting in a problem of high scores for the two evaluation indicators of service and delivery, thus causing inaccuracy of the comprehensive score. Based on the above, in an embodiment of the present invention, a time adjustment coefficient and a sales volume adjustment coefficient are introduced to update the comprehensive score of the supplier; Exemplarily: Assume we have the following supplier data as shown in Table 2 below: Table 2

[0044] Among them, Supplier D is a newly added supplier used to compare with Supplier A. Set a time threshold ; The purpose of setting the time threshold is to standardize the cumulative access time of multiple suppliers, so as to facilitate measuring the relationship between the cumulative access time of suppliers to the procurement platform and the sales volume; Calculated according to the formula: The cumulative access time of Supplier A is 24 months, so ; The cumulative access time of Supplier B is 12 months, so ; The cumulative access time of Supplier C is 6 months, so ; The cumulative access time of Supplier D is 24 months, so ; And the sales volume of Supplier A is 80 units, so ; The sales volume of Supplier B is 50 units, so ; The sales volume of Supplier C is 30 units, so ; The sales volume of Supplier D is 50 units, so ; Based on the above, assume the comprehensive score of Supplier D is the same as that of Supplier B, and then calculate the influence of the coefficients of Supplier A, Supplier B, Supplier C, and Supplier D on the comprehensive score:

[0045] Therefore, from the above data, even though the comprehensive scores of Supplier D and Supplier A are the same, after introducing the time adjustment coefficient and the sales volume adjustment coefficient, it can be clearly seen that the coefficient of Supplier B has a much greater impact on the comprehensive score than that of Supplier D. From the perspective of data manifestation, even though Supplier D joined the procurement platform at the same time as Supplier A, in terms of sales volume performance within the cumulative time, Supplier A is much better than Supplier D. The reason for the analysis may be that factors other than the established evaluation indicators have led to the much lower sales volume of Supplier D than that of Supplier A. Therefore, in order to avoid potential risks, when the comprehensive scores of two suppliers are basically the same, the procurement platform may make a wrong selection, resulting in potential risks. Therefore, based on the calculation of the coefficient's impact on the comprehensive score, it can also assist the procurement platform to optimize the calculation of the comprehensive score and the analysis of suppliers, avoid potential risks for the project side, and find more trustworthy suppliers.

[0046] In one embodiment, the supplier information configuration module includes an electronic tender document entry and upload unit and a second display unit. The electronic tender document entry and upload unit is used to create and upload an electronic tender document; the second display unit is used to display the second decision-making suggestion.

[0047] In one embodiment, the supplier information configuration module further includes a demand analysis module; The demand analysis module is used to analyze the demand change trend according to the tender announcement; The method for analyzing the demand change according to the tender announcement is as follows: Regularly collect tender announcements on the procurement platform; Establish a database to store tender announcements and obtain historical data; the historical data is the tender announcements collected and arranged in chronological order; Based on the time series analysis model and historical data, predict the demand change trend and output the prediction result; According to the prediction result of the time series analysis model, output the second decision-making suggestion; the second decision-making suggestion is used to help the supplier adjust the inventory strategy, and the inventory strategy includes clearing slow-moving inventory and replenishing potential hot-selling products; The time series analysis model is any one of the ARIMA model, the SARIMA model, and the Prophet model.

[0048] The digitized supply chain management system can achieve a rapid connection between the project side and suppliers, thus accelerating the formation of the supply chain. For suppliers, their purpose is to cooperate with the project side to expand their interests. Therefore, suppliers generally choose to stock more goods. However, overstocking will also cause problems such as inventory accumulation. Especially for products with a quality guarantee period, if they cannot be sold within the quality guarantee period, it will cause greater losses to the suppliers. Based on this, in an embodiment of the present invention, based on the digitized procurement platform and the tender announcements uploaded by the project side on the procurement platform, by obtaining all historical tender announcements and analyzing the demand change trend of products based on the time series analysis model, the prediction results can be output, and the second decision-making suggestions can be output using the prediction results to provide guidance for suppliers to adjust their inventory strategies. Based on this, suppliers can dynamically adjust their inventory, timely clear out slow-moving inventory and replenish potentially hot-selling products, so as to achieve the purpose of expanding interests and reducing losses.

[0049] In one embodiment, the project information configuration module further includes a contract management unit, and the contract management unit is used to generate and manage supplier contracts; When the first decision-making suggestion is adopted, the contract management unit generates a contract based on the electronic tender and saves it in the contract management unit after the supplier signs it.

[0050] In one embodiment, the evaluation unit is further used for risk early warning; the method for the evaluation unit to conduct risk early warning is: Regularly store the comprehensive score of the coefficient impact of the supplier's similar products ; Compare the comprehensive score of the coefficient impact with the risk threshold: When the comprehensive score of the coefficient impact is lower than the risk threshold, a warning prompt is sent to the project side in cooperation; the warning prompt is displayed on the first display unit; Otherwise, no warning prompt is sent.

[0051] After the supplier and the project side reach a cooperation, in the state where the product has not been received or shipped, if the supplier has risks, it may seriously affect the progress of the project. Based on this, in an embodiment of the present invention, the comprehensive score of the coefficient impact of the supplier's similar products can also be obtained and risk early warning can be carried out using the real-time updated comprehensive score of the coefficient impact as an example: If Supplier A signs a contract with Project A regarding Product X, and in the state where Project A's Product X has not been shipped or received, if Supplier A submits an electronic tender to Project B, the evaluation unit calculates the comprehensive score of the coefficient impact of Supplier A When it is reduced to the risk threshold, Supplier A can be informed by sending a warning prompt, so that Supplier A can take countermeasures in advance and replace the supplier in a timely manner to prevent the project progress from being seriously affected. Among them, the coefficient of the supplier affects the comprehensive score. It is constantly changing. Therefore, when the evaluation unit evaluates the coefficient of each supplier affecting the comprehensive score , all the data considered or cited are historical data. As time changes, the coefficient of the supplier affects the comprehensive score will change, which may affect the interests of the project party. Therefore, adding a warning mechanism can effectively improve the management of the supply chain.

[0052] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent construction supply chain management system, characterized in that, Including: A project information configuration module for creating a tender announcement. A supplier information configuration module for entering and uploading an electronic tender document. A procurement platform for displaying the tender announcement, receiving the electronic tender document, and outputting a first decision-making suggestion. The procurement platform includes a display module and a data analysis module. The display module is used to display the tender announcement. The data analysis module includes an electronic tender document receiving unit and an evaluation unit. The electronic tender document receiving unit is used to receive the electronic tender document uploaded by the supplier. The evaluation unit is used to analyze the electronic tender document and output a first decision-making suggestion. The first decision-making suggestion is used to match a supplier for the project party.

2. The intelligent construction supply chain management system according to claim 1, characterized in that: The project information configuration module includes a requirement entry and review unit. The requirement entry and review unit is used for the project party to create and review the tender announcement. The project information configuration module also includes a first display unit for displaying the first decision-making suggestion output by the data analysis module.

3. The intelligent construction supply chain management system according to claim 1, characterized in that: The procurement platform also includes a data processing module. The data processing module includes a tender announcement publishing unit and a tender announcement management unit. The tender announcement publishing unit is used to upload the tender announcement to the display module. The tender announcement management unit is used to store and manage the tender announcement. The procurement platform also includes a supplier information storage module. The supplier information storage module is used to enter and update the basic information corresponding to the supplier. The basic information is the supplier qualification, the date of accessing the procurement platform, the historical transaction record, and the evaluation.

4. The intelligent construction supply chain management system according to claim 1, characterized in that: The method for analyzing the electronic tender document and outputting a first decision-making suggestion is as follows: Obtain the supplier's electronic tender document and the supplier's basic information. Based on the supplier's basic information and the electronic tender document, establish evaluation indicators. The evaluation indicators include price, quality, technology, and service. Formulate evaluation criteria and assign weights for each evaluation indicator. The evaluation criteria are used to calculate the scores of each evaluation indicator of the supplier. The weights are determined based on establishing a hierarchical structure model, and the relative importance of each evaluation indicator is determined through pairwise comparison, and the weights are obtained. Combine the scores of each evaluation index of the supplier with the weights based on the decision matrix to calculate the comprehensive score ; Take the comprehensive score as the evaluation result, and output the first decision-making suggestion according to the evaluation result; The first decision recommendation is to screen the supplier corresponding to the maximum value of the comprehensive score as the first supplier.

5. The intelligent construction supply chain management system according to claim 4, characterized in that: The method for calculating the comprehensive score by combining the weights is as follows: Obtain the weights of each evaluation indicator. Obtain the quantified scores of various evaluation indicators of the supplier ; Calculate the standardized scores of each evaluation index according to the formula ; Among them, is the minimum score of the th evaluation index for all suppliers, is the maximum score of the th evaluation index for all suppliers; Calculate the standardized scores of all evaluation indicators in sequence ; Conduct carbon emission accounting and standardize the carbon emissions to obtain the standardized score of carbon emissions ; Among them, is the carbon emission of the supply chain, is the lower limit of carbon emissions, is the upper limit of carbon emissions; Calculate the comprehensive score of the supplier according to the formula ; Among them, is the weight of each evaluation index, is the number of evaluation indexes.

6. The intelligent construction supply chain management system according to claim 5, characterized in that: The method for analyzing the electronic tender document and outputting a first decision-making suggestion also includes: Obtain the cumulative time for each supplier to access the procurement platform based on the basic information of the suppliers and the cumulative sales volume ; Obtain the time adjustment coefficients of each supplier according to the formula and the sales volume adjustment coefficients ; Among them, is the set time threshold; Among them, is the maximum sales volume of similar products among each supplier, is the minimum sales volume of similar products among each supplier; Based on the calculated time adjustment coefficient and the sales volume adjustment coefficient , solve the comprehensive score affected by the coefficient ; Based on the calculated coefficient to affect the comprehensive score , as the updated evaluation result and output the updated first decision-making suggestion.

7. An intelligent construction supply chain management system according to claim 1, wherein: The supplier information configuration module includes an electronic tender document entry and upload unit and a second display unit. The electronic tender document entry and upload unit is used to create and upload the electronic tender document. The second display unit is used to display a second decision-making suggestion.

8. An intelligent construction supply chain management system according to claim 7, wherein: The supplier information configuration module also includes a demand analysis module. The demand analysis module is used to analyze the demand change trend according to the tender announcement. The method for analyzing the demand change according to the tender announcement is as follows: Regularly collect the tender announcements on the procurement platform. Establish a database to store the tender announcements and obtain historical data. The historical data is the collected tender announcements arranged in chronological order. Based on the time series analysis model and the historical data, predict the demand change trend and output a prediction result. According to the prediction result of the time series analysis model, output a second decision-making suggestion. The second decision-making suggestion is used to help the supplier adjust the inventory strategy. The inventory strategy includes clearing the slow-moving inventory and replenishing potential best-selling products. The time series analysis model is any one of the ARIMA model, the SARIMA model, and the Prophet model.

9. An intelligent construction supply chain management system according to claim 7, wherein: The project information configuration module further includes a contract management unit, and the contract management unit is used to generate and manage supplier contracts; When the first decision-making recommendation is adopted, the contract management unit generates a contract based on the electronic tender and stores it in the contract management unit after the supplier signs it.

10. An intelligent construction supply chain management system according to claim 9, wherein: The evaluation unit is further used for risk early warning; the method for the evaluation unit to conduct risk early warning is: The coefficient of similar products of suppliers stored regularly affects the comprehensive score ; Integrate the coefficient impact into the comprehensive score Compare with the risk threshold: When the coefficient affects the comprehensive score If it is lower than the risk threshold, a warning prompt will be sent to the project parties in cooperation; The warning prompt is displayed on the first display unit; On the contrary, no warning prompt is sent.

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