KR102192226B1 - Apparatus and method for providing bid amounts using prediction of multiple preliminary amounts of demand institution - Google Patents

Abstract

The present invention discloses an apparatus and method for predicting and providing a bidding amount having a high probability of winning a successful bid by using prediction of a plurality of preliminary prices for each demand institution. According to the present invention, an apparatus for providing a bidding amount using predictions of multiple example prices for each demanding agency, collects opening bill announcements, and generates and analyzes the creation range of multiple example prices and creation criteria for each notification agency of each demanding agency. Demand agency analysis department; Participating company analysis unit for generating and analyzing the distribution of the bid amount for each company participating in the bidding in the opening announcement of the analyzed creation information; Through simulation, a plurality of example prices are randomly generated according to the analyzed creation information, a predetermined price is calculated by arithmetic average of a preliminary price randomly selected from among the generated plurality of example prices, and a distribution of the calculated planned prices is generated and analyzed. part; And a bidding amount provided by calculating the point at which the value obtained by subtracting the distribution value of the corresponding bid amount from the distribution value of the planned price in comparison with the distribution of the planned price and the distribution of the bid amount is calculated as the predicted bid amount. Includes a provider.

Description

Apparatus and method for providing bid amounts using prediction of multiple preliminary amounts of demand institution}

The present invention relates to an apparatus and method for calculating and providing a bid amount with a high successful bid rate by using prediction of a plurality of preliminary prices for each demand agency in an electronic bidding as a bid prediction technology.

The e-bidding process begins when the state, government, school, public institution, etc. become a demanding institution and place an order for an announcement. In general, the requesting agency is a direct public announcement agency, but upon the decision of the requesting agency head, when a public announcement agency such as the Public Procurement Service requests support or proxy for procurement work, the requested notification agency places a bid announcement on the ordering system such as the country marketplace. do. The public announcement agency becomes the subject of the ordering entity that determines the bid announcement information (eg, bidding criteria, bidding method, and multiple example prices) and becomes the contract partner of the successful bidder. According to the bid announcement registered in the ordering system, bidders registered as procuring companies participate in e-bidding.

For reference, the term "notification agency" is used differently for each ordering system (e.g., national marketplace, defense electronic procurement system, etc.), and is typically used in terms of public announcement agency, ordering agency, and execution agency. Hereinafter, it is collectively referred to as the public announcement agency.

In the above e-bidding, the system is a standardized online bidding method that receives the bid amount from each bidder and selects the bid amount that meets the most criteria as the successful bid amount, and the method most used in domestic e-bidding is It is a successful bid system.

In the eligibility screening successful bid system, a plurality of (for example, 15) preliminary prices are randomly generated within a certain range based on the basic amount of the bid announced. Two of the 15 randomly generated example prices (multiple preliminary prices) are randomly selected by each bidder who participated in the bidding on the day of the opening of the bill, and a predetermined price obtained by calculating the most selected four values among them is calculated. Then, the successful bid amount is the winning bid amount of the closest first-tier bidder, which is more than the predetermined price.

Here, in the bidding announcement, only the basic amount and the maximum/minimum range (eg, ±2%) of the multiple example prices are described, and the criteria for the range in which the multiple example prices were calculated are not disclosed to the bidders. In addition, in actual bidding, it is true that multiple preliminary prices that are out of the maximum/minimum preparation range announced in the bidding may occur. Although the calculation criteria are not disclosed or do not follow the maximum/minimum preparation range, multi-prediction prices are the most important factor in determining the planned price, so multi-prediction predictions are required for prediction with a high successful bid rate.

However, most of the conventional bidding prediction systems predict the successful bid price by analyzing the past trend of the planned price. Each system uses its own prediction algorithm, but the prediction results are concentrated on the averaged price of past expected prices. In other words, there is a problem in that prediction of a plurality of 15 example prices, which is the source of the planned price, is omitted.

Korean Patent Registration 10-1300517 (2013.08.21)

The present invention is created under the recognition of the prior art as described above, and analyzes the generation range and criteria of multiple example prices collected from past ticketing information, and uses the generated information of the analyzed multiple example prices for a bid subject to be predicted. An object of the present invention is to provide an apparatus and method for calculating and providing a bid amount from a plurality of predicted example prices.

In addition, the device calculates the reliability level of the analyzed generation information of a plurality of example prices compared with the past ticket information as a fitness ratio, evaluates the reliability, and performs a prediction simulation of the multiple example prices by applying the calculated fitness ratio.

According to an aspect, an apparatus for providing a bidding amount using predictions of multiple example prices by demanding agency, collects open bill announcements, and generates and analyzes the creation range of multiple example prices and creation criteria for each notification agency of each demanding agency. Demand agency analysis department; Participating company analysis unit for generating and analyzing a distribution of the bid amount for each company participating in the bidding in the opening announcement of the analyzed creation information; Through simulation, a plurality of example prices are randomly generated according to the analyzed creation information, a predetermined price is calculated by arithmetic average of a preliminary price randomly selected from among the generated plurality of example prices, and a distribution of the calculated planned price is generated and analyzed. Calculation unit; And comparing the distribution of the predetermined price and the distribution of the bidding amount, the point at which the value obtained by subtracting the distribution value of the corresponding bidding amount from the distribution value of the predetermined price is the maximum, calculated as the bidding amount predicted for a successful bid. It includes a bid amount providing unit.

The demand agency analysis unit generates at least one or more of the creation information for each demand agency.

The apparatus further includes a suitability ratio calculating unit that calculates a suitability ratio of a degree to which a plurality of preliminary prices of the ticket billing announcement coincide with respect to the creation information.

The predetermined price calculation unit distributes the number of simulations according to the suitability ratio of each creation information when the demand agency has two or more creation information.

When the sum of the suitability ratios of the information prepared by the demand institution is less than 100%, the predetermined price calculation unit distributes the number of simulations to which an error is applied by a ratio of 100% minus the suitability ratio.

The predetermined price calculation unit processes the simulation for calculating the predetermined price by randomly selecting a preliminary price for each section of the creation information, and randomly selecting a preliminary price as many as the number of bidders among the selected preliminary prices.

According to another aspect of the present invention, a method of providing a bidding amount by an apparatus using predictions of multiple example prices for each demanding agency, by collecting opening bill announcements, is a method for preparing a range of preparing multiple example prices for each notification agency of each demanding agency, and writing information on the writing standards. Generating and analyzing the demand agency; Analyzing the participating companies by generating a distribution of the bidding amount for each company participating in the bidding in the open bill announcement; Through simulation, a plurality of example prices are randomly generated according to the analyzed creation information, a predetermined price is calculated by arithmetic average of a preliminary price randomly selected from among the generated plurality of examples, and a probability distribution of the calculated expected price is generated. Analyzing; And comparing the distribution of the predetermined price and the distribution of the bidding amount, the point at which the value obtained by subtracting the distribution value of the corresponding bidding amount from the distribution value of the predetermined price is the maximum, calculated as the bidding amount predicted for a successful bid. It includes the step of.

According to an aspect of the present invention, in order to proceed with the opening of the bid in the same manner as the actual bidding, by analyzing the opening announcement of the demand institution, generating information of at least one or more preliminary prices, and the bidding and By calculating a predetermined price using a plurality of example prices selected based on the creation information of the plurality of example prices of the same type, a predetermined price predicted to have a maximum probability of winning a successful bid may be provided as a bid amount.

In addition, by calculating the compatibility ratio of the degree that the preparation information of the plurality of example prices generated through analysis matches the plurality of example prices of the ticket billing announcement as reliability, and reflecting the compatibility ratio as the number of bidding simulations, the trust environment generated in the actual bidding and By creating the same environment and performing a bidding simulation, it is possible to increase the probability of winning the bid amount.

The following drawings attached to the present specification illustrate preferred embodiments of the present invention, and serve to further understand the technical idea of the present invention together with the detailed description of the present invention described later, the present invention is the matter described in such drawings. It is limited to and should not be interpreted.
1 is a schematic configuration diagram of an apparatus for providing a bid amount according to an embodiment of the present invention.
FIG. 2 is an exemplary diagram of a creation range of a plurality of examples analyzed by a demand agency analysis unit of FIG. 1.
3 is an exemplary diagram of a suitability ratio of a plurality of examples calculated by a suitability ratio calculation unit of FIG. 1.
FIG. 4 is an exemplary diagram of a distribution diagram of a bid amount generated by a participating company analysis unit of FIG. 1.
FIG. 5 is an exemplary diagram of a distribution map of a planned price generated by the planned price calculation unit of FIG. 1.
6 is an exemplary diagram for predicting a point at which a difference between a distribution value of a predetermined price and a distribution value of a bid amount becomes maximum compared to the distribution graphs of FIGS. 4 and 5 as a bid amount.
7 is a schematic flowchart of a method for providing a bid amount according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the specification and claims should not be construed as being limited to a conventional or dictionary meaning, and the inventors appropriately explain the concept of terms in order to explain their own invention in the best way. Based on the principle that it can be defined, it should be interpreted as a meaning and concept consistent with the technical idea of the present invention. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention, and do not represent all the technical spirit of the present invention, and thus various alternatives that can be substituted for them at the time of application It should be understood that there may be equivalents and variations.

1 is a schematic configuration diagram of an apparatus 100 for providing a bid amount according to an embodiment of the present invention. FIG. 2 is an exemplary diagram of a range of creating a plurality of examples analyzed by the demand agency analysis unit 110 of FIG. 1. 3 is an exemplary diagram of a suitability ratio of a plurality of examples calculated by a suitability ratio calculation unit of FIG. 1. FIG. 4 is an exemplary diagram of a distribution diagram of a bid amount generated by a participating company analysis unit of FIG. 1. FIG. 5 is an exemplary diagram of a distribution map of a planned price generated by the planned price calculation unit of FIG. 1. 6 is an exemplary diagram for predicting a point at which a difference between a distribution value of a predetermined price and a distribution value of a bid amount becomes maximum compared to the distribution graphs of FIGS. 4 and 5 as a bid amount. Hereinafter, it will be described with reference to FIGS. 1 to 6.

Referring to FIG. 1, the apparatus 100 for providing a bid amount according to an embodiment of the present invention includes a demand agency analysis unit 110, a conformity cost calculation unit 150, a participating company analysis unit 130, and a predetermined price calculation unit. It is configured to include (140) and a bid amount providing unit 160 and an integrated DB (170).

Assuming that the bid amount providing apparatus 100 is a computer terminal composed of a memory and a processor, each of the components 110 to 170 may be loaded into the memory in the form of a program and executed through the processor. For example, each of the constituent units 110 to 170 is produced as a program for predicting the bid amount, and then executed by the processor of the bid amount providing device 100 to predict the bid amount and provide the predicted bid amount. can do.

The demand agency analysis unit 110 collects various ticket bill announcements in the integrated DB 170, and refers to the collected billing announcements, and provides creation information including the creation range and creation criteria of multiple example prices for each announcement agency of each demand agency. Analyze demand institutions by generating them. The generated information on creating a plurality of examples for each demand agency may be stored in the integrated DB 170. Of course, the creation information of the multiple example prices is required to be updated each time a new ticket bill announcement is announced, and each time the standards of the new multiple example prices are announced.

For reference, the demanding agency may directly become a public announcement agency or request a public announcement agency such as the Public Procurement Service to proceed with the bidding. Accordingly, in the present invention, the multiple example prices for each demand agency includes a plurality of example prices of at least one public announcement agency for each individual demand agency. For example, if multiple examples of the demanding agency is information, then the multiple examples of the single information are multiple examples of the demanding agency (when the demanding agency is a public announcement agency) or multiple examples of the notification agency of the demanding agency (demanding agency) This may be the case when it is requested to the public announcement agency).

Referring to FIG. 2, a range 200 of a plurality of examples of the Public Procurement Service analyzed by the demand agency analysis unit 110 is illustrated. When a demanding agency places a bid to a public announcement agency such as the Public Procurement Service, the demanding agency may apply a unique multiple example price criterion or a unique multiple example price criterion of the notification agency. The range 200 is determined according to the applied criteria.

In the multiple example price range 200 of the Public Procurement Service, 15 multiple example prices are selected within the range of creation of a minimum of -2% to a maximum of +2% for the basic amount. The writing range is divided into 15 equal intervals, and 0.265 deviations are allocated for each interval. Then, a plurality of 15 examples may be arbitrarily selected among the 15 allocated sections.

Here, a plurality of example prices of each bid may be applied based on various criteria in which the preparation range and deviation are various. For example, in each of the 15 sections, a non-uniform section with a different deviation may be allocated, and a fixed value without a deviation may be arranged in a random section among the 15 sections.

The demand agency analysis unit 110 collects past ticket bill announcements, divides the collected ticket bills by demand agency, separates the ticket bills of the classified demand agencies by public announcement agency, and divides them by relationship between demand agencies and public announcement agencies. And, for each division, a plurality of examples of at least one demand organization generates creation information. In the bidding of the demanding institution, the standards for preparing a plurality of example prices may vary depending on the public announcement agency, region, type of business, basic amount, timing, etc., and the present invention does not impose any specific limitation. The demand agency analysis unit 110 analyzes the creation pattern of a plurality of examples according to each of the above classifications, and generates creation information of a creation standard and a creation range of the analyzed pattern.

Therefore, for the bid A for which prediction is required, among the past opening gates analyzed by the demand agency analysis unit 110, a plurality of example price creation information in which the above creation patterns such as demand agency, public announcement agency, bid content, bid size, timing, etc. most match. By applying to bid A with reference to, it is possible to predict a plurality of 15 example prices of bid A.

In addition, the conditions applied by the demand agency analysis unit 11 to the bid A by referring to the matching information for the bid A are also used to apply the bid amount of the bidding participating company to be described later.

The suitability ratio calculation unit 120 calculates the degree of coincidence of the plurality of example prices with respect to the ticketing announcement corresponding to the preparation information of each of the plurality of example prices analyzed by the demand agency analysis unit 110 as a suitability ratio, and is then added to the integrated DB 170. Save it. For example, when the suitability ratio is 100%, it means that multiple example prices are generated according to the criteria of the prepared information to the extent that they match 100% in the entire opening bill corresponding to the prepared information of the plurality of example prices.

Referring to FIG. 3, the conformity ratio calculation unit 120 analyzes the opening bills of a bid ordered by the requesting institution X to the notification institution Y, and is stored in the integrated DB 170 as a conformity ratio table 300, A plurality of It is exemplified that 92% of the preparation information of the yega is, and 5% of the preparation information of the B multiple yega. Then, the bid that does not follow the A and B multiple example prices is 3%. In other words, assuming that the bid for which prediction is required is a bid ordered by the requesting agency X to the public announcement agency Y, the probability of following multiple example prices A is 92%, the probability of following multiple example prices B is 5%, and the remaining multiple examples. It is predicted that the probability of following is 3%.

The participating company analysis unit 130 generates a distribution of the bidding amount according to the number of bidding frequency of the bidding amount of the company participating in the bidding for each open bill announcement collected in the integrated DB 170 and stores it in the integrated DB 170.

Of course, the bid amount of the company referred to by the participating company analysis unit 130 to generate the distribution is a bid amount in which various conditions are matched with respect to the current prediction target bid A. The above condition is information defining the degree to which the requesting agency, the public announcement agency, the content of the bid, the size of the bid, and the timing of the bid A match. Participating company analysis unit 130 generates a bid distribution map of the bid A by referring to the bid amount of the participating company meeting this condition.

In the distribution of the bidding amount, the distribution of the bidding amount by which bidders made a bid for the bidding amount is confirmed.

Here, the bid amount may be converted to a bid assessment rate and generated as a distribution of assessment rates. For reference, the bid assessment rate is calculated by the following formula.

[(Bid amount χ bid rate) χ basic amount Х 100%]

The bid assessment rate calculated by the above formula can be converted to the fourth decimal place, and the bid rate is determined by the client (eg, 87.745% in the case of the PPS bid rate).

Referring to FIG. 4, a distribution diagram 400 of a bid amount generated by the participating company analysis unit 130 is illustrated. Of course, the point at which the distribution value on the y-axis becomes the maximum in the bidding amount distribution map 400 means that the participating company that bids the bidding amount on the x-axis is the largest.

The predetermined price calculation unit 140 performs a bidding simulation for calculating a predetermined price according to the creation information of a plurality of example prices analyzed by the demand agency analysis unit 110. In the bidding simulation, the planned price calculation unit 140 randomly selects 15 multiple example prices according to the 15 section criteria of the creation information of multiple example prices, and the number of N participating companies among the selected 15 multiple example prices (e.g., analyzed bidding The expected price is calculated by selecting two preliminary prices as much as the average number of participating companies) and arithmetic average of the top four preliminary prices among the two preliminary prices selected N times. The bidding simulation in which the predetermined price is calculated is repeated about 10,000,000 times. When the iterative processing of the simulation is completed, the predetermined price calculation unit 140 analyzes the bidding of the demand institution by generating a distribution of the predetermined price according to the simulation result.

Referring to FIG. 5, a plan price distribution map 500 generated by the plan price calculator 170 is illustrated. Of course, the point at which the distribution value on the y-axis becomes the maximum in the bidding amount distribution map 400 means that the number of times that the bidding amount on the x-axis appears as a predetermined price that is the basis of the successful bid amount is the maximum.

Optionally, the predetermined price calculation unit 170 may reflect the fitness ratio calculated by the fitness ratio calculation unit 120 to the number of simulations. In the case of FIG. 3, as for the number of bidding simulations, 92% of the multiple example prices of A, 5% of the multiple example prices of B, and 3% of the error are applied may be distributed. When the preparation information of a plurality of example prices is one and the suitability ratio is 100%, the number of times of simulation according to the creation information of one plurality of examples is repeated. If, assuming that the preparation information of the plurality of examples is one and the suitability ratio is 90%, the number of total simulations may be divided into the number of times that the plurality of examples follow the preparation information and the number of times that the error of 10% is followed.

Accordingly, the predetermined price calculation unit 170 calculates the predetermined price by maximizing the iteration of the simulation in the same manner as the calculation method of the predetermined price by processing a plurality of examples performed in an actual bidding. That is, if the suitability ratio is applied to the number of simulations, the bidding simulation is performed in the same manner as the bidding of the demand institution analyzed in the past open bill announcement.

The bidding amount providing unit 150 compares the bidding amount distribution map 400 and the planned price distribution map 500 to predict and provide a bidding amount at which the probability of a successful bid is maximized.

Referring to FIG. 6, a graph comparing the bidding amount distribution map 400 and the planned price distribution map 500 is illustrated. The x-axis distribution value is a bid amount or an assessment rate, and the y-axis distribution value indicates a probability value. The point 600 that is the maximum by subtracting the probability value of the bid amount distribution map 400 from the probability value of the planned price distribution map 500 based on the x-axis value has a high probability of the appearance of the scheduled price and a low bidding frequency. It means point 600. In order to find this point 600, the bidding amount providing unit 150 subtracts the y-axis value of the bidding amount distribution map 400 from the y-axis value of the planned price distribution map 500, and the gap value becomes the maximum point 600 The x-axis value of) is calculated and provided as the bid amount.

Here, various calculation formulas may be used to find the point 600.

7 is a schematic flowchart of a method for providing a bid amount according to an embodiment of the present invention.

The apparatus 100 for providing a bid amount collects and stores the information of the opening bid announcement in the integrated DB 170 in order to predict the bid amount at which the probability of winning a successful bid is maximized in the bidding of a demand institution requiring prediction (S711). When the collection of the opening bill announcement is completed, the bidding amount providing device 100 refers to the opening bill announcement information of the integrated DB 170 to generate the creation range and creation information of the multiple example prices for each announcement agency of each demanding agency, The organ is analyzed (S712).

Here, the bid amount providing apparatus 100 analyzes various patterns for determining a range of 15 sections of a plurality of example prices, and generates at least one or more example price creation information corresponding to each pattern.

When the analysis of the demand institution is completed, the bid amount providing apparatus 100 calculates a suitability ratio of the degree to which the plurality of example prices of the corresponding open-bill announcements match with respect to the generated information on the creation of the plurality of example prices (S721). The calculated fit ratio represents the reliability when the preparation information of a plurality of example prices is applied in a bidding requiring prediction.

When the conformity ratio is calculated, the bid amount providing apparatus 100 analyzes the participating companies by generating a distribution of the bid amounts for each company participating in the bidding in the opening billing announcement corresponding to the generated information on the preparation of the plurality of example prices (S731). Distribution information of the generated bid amount may be displayed as a distribution map 400 of the bid amount.

Here, in the above collection and analysis, information corresponding to various conditions such as the demanding agency of the bid A for which prediction is required, the announcement agency, the content of the bid, the size of the bid, the timing of the bid, and the bid amount of the participating companies are selectively collected and analyzed. .

When the distribution of the bid amount is generated, the bid amount providing apparatus 100 processes a bidding simulation that implements the same actual ticketing method (S741). In the bidding simulation, 15 multiple example prices are randomly generated according to the generated multiple example prices, and 2 preliminary prices are randomly selected as many as the number of participating companies among the generated 15 multiple example prices, and the selected preliminary prices are sorted by the number of selections. Entails processing.

In addition, the bid amount providing apparatus 100 calculates a predetermined price by calculating and arithmetic average of the top four prices from the arranged preliminary prices, and analyzes the predetermined price by generating a probability distribution of the calculated predetermined price (S742). Distribution information of the generated predetermined price may be displayed as a predetermined price distribution map 500.

Optionally, the apparatus 100 for providing a bidding amount may distribute the number of bidding simulations according to a suitability ratio of each of the prepared information when there are two or more analyzed examples of the demand agency. If the sum of the conformity ratios of the prepared information of the demand institution is less than 100%, the number of bidding simulations to which the error is applied may be distributed by a ratio of 100% minus the conformance ratio.

When the distribution of the predetermined price is generated, the bid amount providing apparatus 100 compares the distribution of the predetermined price and the distribution of the bidding amount (751). The bid amount providing apparatus 100 determines a point 600 at which a value obtained by subtracting the distribution value of the corresponding bidding company's bidding amount from the distribution value of the compared planned price becomes the maximum value as the bidding amount predicted for a successful bid ( S752). It has been described above that various calculation formulas are applied to calculate the point 600. In addition, the apparatus 100 for providing a bid amount provides the determined bid amount as a bid amount having the highest probability of a successful bid (S753).

Although the present invention has been described by limited embodiments and drawings, the present invention is not limited thereto, and the technical idea of the present invention and claims to be described below by those of ordinary skill in the art to which the present invention pertains. Of course, various modifications and variations are possible within the uniform range of the range.

100: bid amount providing device 110: demand agency analysis unit
120: Conformity cost calculation unit 130: Participating company analysis unit
140: expected price calculation unit 150: bid amount providing unit
170: integrated DB

Claims (12)

In the apparatus for providing a bidding amount by using prediction of a plurality of example prices for each demand organization,
A demand agency analysis unit that collects opening bill announcements and generates and analyzes information on creating ranges and standards for preparing a plurality of example prices for each notification agency of each demand agency;
A suitability ratio calculation unit that calculates a suitability ratio of a degree to which a plurality of preliminary prices of the ticket billing announcement coincide with respect to the creation information;
Participating company analysis unit for generating and analyzing the distribution of the bid amount for each company participating in the bidding in the opening announcement of the analyzed creation information;
Through simulation, a plurality of example prices are randomly generated according to the analyzed creation information, a predetermined price is calculated by arithmetic average of a preliminary price randomly selected from among the generated plurality of example prices, and a distribution of the calculated planned price is generated and analyzed. Calculation unit; And
Comparing the distribution of the predetermined price and the distribution of the bid amount, calculating and providing a point at which a value obtained by subtracting the distribution value of the corresponding bid amount from the distribution value of the predetermined price becomes the maximum Including; a bid amount providing unit,
The demand agency analysis unit,
Generating at least one of the above-described information for each demand organization,
The planned price calculation unit,
When there are two or more pieces of the creation information of the demand organization, the number of simulations is distributed according to the suitability ratio of each creation information. delete delete delete The method of claim 1,
The planned price calculation unit,
When the sum of the conformance ratios of the creation information of the demand organization is less than 100%, the number of simulations to which an error is applied is divided by a ratio of 100% minus the conformance ratio. The method of claim 1,
The planned price calculation unit,
And processing the simulation for calculating the predetermined price by randomly selecting a preliminary price for each section of the creation information, and randomly selecting a preliminary price as many as the number of bidding companies among the selected preliminary prices. In a method for providing a bid amount by an apparatus using prediction of a plurality of example prices for each demand institution,
Analyzing the demand agency by collecting the opening bill announcements and generating information on the creation range and creation criteria of a plurality of example prices for each notification agency of each demand agency;
Calculating a suitability ratio of a degree to which a plurality of preliminary prices of the ticket billing announcement coincide with respect to the creation information;
Analyzing the participating companies by generating a distribution of the bidding amount for each company participating in the bidding in the open bill announcement;
Through simulation, a plurality of example prices are randomly generated according to the analyzed creation information, a predetermined price is calculated by arithmetic average of a preliminary price randomly selected from among the generated plurality of examples, and a probability distribution of the calculated expected price is generated. Analyzing; And
Comparing the distribution of the predetermined price and the distribution of the bid amount, calculating and providing a point at which a value obtained by subtracting the distribution value of the corresponding bid amount from the distribution value of the predetermined price becomes the maximum Including steps,
Analyzing the demand agency,
At least one or more of the above information is generated for each demand organization,
Analyzing the expected price,
When there are two or more pieces of the creation information of the demand organization, the number of simulations is distributed according to the suitability ratio of each creation information. delete delete delete The method of claim 7,
Analyzing the expected price,
When the sum of the suitability ratios of the prepared information of the demand organization is less than 100%, the method is distributed by the number of simulations to which an error is applied by a ratio of 100% minus the suitability ratio. The method of claim 7,
Analyzing the expected price,
And processing the simulation for calculating the predetermined price by randomly selecting a preliminary price for each section of the creation information, and randomly selecting a preliminary price as many as the number of bidders among the selected preliminary prices.

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