JP2002251543A - Business estimate support system, program for business estimate support system, and business estimate method with computer - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a business estimate support system capable of improving a customer satisfaction degree and suppressing a risk to the minimum when making an estimate of a system product combined with a plurality of members. SOLUTION: The business estimate support system is provided with an input means 1 inputting the special order specification information of the system product desired by a user, a display means 3 at least reply-displaying an estimate result, a special order basic information DB 5a storing the attribute information of parts for individual products, and an arithmetic processing means 2 executing an estimate for the special order specification information inputted by the user. he arithmetic processing means 2 reads the special order basic information in sequence from the DB 5a, compares the attribute information with each other, judges coincidence or noncoincidence, and makes an estimate at a discount when there is the similar special order basic information having a coincidence ratio, i.e., similarity, of a prescribed value or above.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a negotiation estimation support system, a negotiation estimation support system program, and a negotiation estimation method for estimating a system product made up of a plurality of custom-designed parts.

[0002]

2. Description of the Related Art In recent years, various electronic commerce transactions have been carried out using communication networks such as the Internet. The products handled at virtual stores that conduct e-commerce are mainly mass-produced products such as furniture, books, and electric appliances. Although there is an order (quotation) system for products and services that allows you to specify special specifications individually, it is risky for producers to electronically receive custom-made production with complicated specifications, There are few companies that accept orders for custom production by the system.

[0003] On the other hand, a company that produces a system product composed of a plurality of products and parts requires a system product in which only some of the constituent parts have special specifications according to an order. May have to be produced. For example, this corresponds to a case where a system kitchen is ordered by specifying the height of a sink, the position of a stove, and the like.

[0004] Many companies that produce such products introduce computer system templates on their homepages and provide computer systems that allow customization so that some specifications can be changed.

[0005]

However, in reality,
As with normal single-spec products, there are inconveniences such as inaccurate information due to complicated special specifications of components, order trouble due to input errors, and discrepancies between quotes and actual production costs. are doing. If the ordering method is made simpler, the convenience of the customer is enhanced, but as a result, the choices of the customer are narrowed, so that sufficient customer satisfaction cannot be obtained. If such a system is continuously operated, the amount of orders will decrease due to a decrease in customer satisfaction, and it is impossible to provide further services such as discounts because of the high risk. .

The present invention has been made in consideration of such circumstances, and has as its object to improve customer satisfaction and reduce risk when estimating a system product combining a plurality of members. It is an object of the present invention to provide a negotiation estimation support system capable of minimizing the cost, a program used in this system, and a negotiation estimation method.

[0007]

According to a first aspect of the present invention, there is provided a negotiation estimation support system for estimating a system product obtained by combining a plurality of parts in accordance with a user's instruction input. A computer system having the following features.

[0008] That is, an input means for inputting custom specification information including attribute information of each part of the system product desired by the user, a display means for displaying at least a result of the estimation as an answer, and a system for displaying the attribute information of each part in the system. Storage means including a special-order basic information database which is stored as special-order basic information separately for each product; and arithmetic processing means for executing an estimate for the special-order specification information input by the user. Reads the special order basic information sequentially from the special order basic information database, compares the input special order specification information and the read special order basic information for each attribute information, determines a match or a mismatch, and determines whether the attribute information matches. Is calculated as a similarity ratio, and if there is similar special-order basic information having a predetermined similarity ratio, an estimate is taken in consideration of a discount.

[0009] As a result, in response to a user's request for an estimate of a custom specification, basic information on recommended products having a high degree of similarity and a discount rate determined by subdividing the degree of similarity can be presented.
A discount service excellent in customer satisfaction can be realized, and a user's order can be led to a standard product with low risk, so that the number of custom-designed orders can be substantially reduced.

[0010] Here, adding the discount means, for example,
This includes the case of calculating the estimated price by discounting according to a discount rate table that defines a discount rate for each similarity rate.

According to a second aspect of the present invention, the storage means further includes a correlation definition table in which a correlation between attributes having a relationship governing each other's specifications is defined in advance. When the attribute definition information is included in the correlation definition table, when calculating the similarity ratio, a plurality of attribute groups related to each other are treated as one attribute, and a match or a mismatch is determined.

[0012] This allows the user to correctly recognize the correlation before ordering (estimation request), thereby preventing an input error or an impossible combination of custom specifications from being selected.

According to the third aspect of the present invention, the special order basic information database includes special order basic information of a custom order specification relating to a system product of an order received in the past. Therefore, design documents and drawings can be diverted by the repeat order, and the discount rate can be further increased.

According to a fourth aspect of the present invention, there is further provided a special order information storage unit for storing the custom specification information input from the input unit in the special order basic information database. Therefore, the custom-made basic information of the database can be gradually increased.

According to a fifth aspect of the present invention, the storage means further includes a member-specific discount rate conversion master defining the difficulty level of the member procurement and the adjustment discount rate in association with each other. When the custom specification information designating the member defined in the master is input, the estimation is performed by adding the adjustment discount rate to the discount rate determined by the similarity rate.

According to a sixth aspect of the present invention, the storage means includes a man-hour master for each attribute element storing man-hours required for each attribute of each part of the custom specification, and an adjustment discount rate corresponding to the total man-hour required for one order. Is further provided with a discount rate master for each man-hour which is defined for each man-hour value, and the arithmetic processing means calculates an overall man-hour for the received order, and adjusts the discount rate determined according to the similarity rate to an adjustment discount rate according to the overall man-hour. Estimate taking into account.

According to the seventh aspect, the diversion frequency information used for the estimation is included in the special order basic information. The arithmetic processing means counts up the number of diversions each time the custom-determined basic information having received the similar determination is diverted to the estimation, and stores the diversion count together with the special-order basic information in the special-order basic information database, while the special-order basic information database It adjusts the discount rate according to the number of diversions included in the similar custom-order basic information extracted from, and executes estimation.

According to an eighth aspect of the present invention, when storing the special order basic information in the special order basic information database, the man-hour required for the ordered product is calculated, and is not stored when the calculated value exceeds a predetermined man-hour value. And

In the ninth aspect, the special order basic information includes order date information. If the order date retrieved from the special order basic information database is within a predetermined period of time retroactively from the processing date, the discount is adjusted and the estimation is performed. for that reason,
In the case where a case of a recent order that enables simultaneous production or efficient production becomes basic information, a larger discount rate can be set.

According to a tenth aspect of the present invention, there is provided a progress file which is classified according to the case of the special order product and has a degree of progress of the case. The progress is extracted from the progress file, the discount rate is adjusted according to the progress, and the estimation is executed. Therefore, it is possible to differentiate by the discount rate for each stage of the progress, and more secure estimation can be realized.

According to the eleventh aspect, there is provided a member stock number master storing the stock numbers of the parts constituting the system product. With reference to the stock quantity of the member, the discount is adjusted according to the stock quantity, and the estimation is performed.

In the twelfth aspect, the custom specification information input from the input means includes simplification designation information that allows the user to set the simplification of the process step by step for each production process. Adjust the discount rate according to the stage of conversion and execute the estimation.

According to the thirteenth aspect, a reply indicating that the delivery date can be shortened in place of the discount of the finally determined discount rate is displayed. Therefore, it is possible to respond to a user who requires a short delivery time.

According to a fourteenth aspect of the present invention, there is provided a negotiation estimation support system program for estimating a system product comprising a plurality of parts according to a user's instruction input.
A function to receive custom specification information including multiple attribute information related to the specifications of each part of the system product, and a special order basic information of the system product from a special order basic information database that stores the attribute information of each part in advance for each system product A function of sequentially reading and comparing the inputted custom-order specification information and the read special-order basic information for each attribute information, determining a match or a mismatch, and calculating a ratio in which the attribute information matches as a similarity ratio; If there is similar custom-order basic information having a predetermined similarity rate, a function of performing an estimation in consideration of a discount is executed.

A negotiation estimation method according to a fifteenth aspect is a method for estimating a system product composed of a plurality of part members in accordance with a user's instruction input. A step of receiving custom specification information including a plurality of pieces of attribute information on part specifications, and sequentially reading and inputting special order basic information of system products from a special order basic information database in which attribute information of each part is previously classified and stored for each system product. Comparing the custom-designated information and the read special-order basic information for each attribute information, determining a match, a mismatch, and calculating a ratio of the attribute information matching as a similarity ratio;
If there is similar custom-ordered basic information having a predetermined similarity ratio, a step of performing estimation taking into account a discount is executed.

[0026]

Embodiments of the present invention will be described below with reference to the accompanying drawings.

FIG. 1 is a diagram showing the basic system configuration of the system of the present invention.

This negotiation estimation support system S is constructed on a computer such as a workstation or a personal computer, and has an input panel 1 such as an operation panel, a keyboard, etc., which allows a user to input custom specification information of the system product. Calculation processing means 2 for executing an estimate, display means 3 for displaying an answer to a user and comprising a CRT screen or the like, special order information storage means 4 for saving special order basic information which is standard specifications to be presented to the user, special order The storage unit 5 includes a basic information database 5a and other various masters.

Although the system is configured on a stand-alone computer here, the server receives a request for quote from a client terminal via a communication network such as the Internet, and the server executes the quote based on the request. Alternatively, the answer may be output to the client terminal. In this case, the input means 1 shown in FIG.
Is the communication (reception) between the input means of the client terminal and the server
The display means 3 includes a communication (transmission) means of the server and a display means of the client terminal.

According to the present invention, a product having a similar standard specification is found out by comparing attribute information of a custom specification input by a user with custom basic information stored in the special basic information database 5a, and the degree of similarity is found. Is provided to the user via the display unit 3 in consideration of the discount rate according to the above. Here, the system product includes a product obtained by combining a plurality of part members, for example, a system kitchen corresponds thereto, and the attribute information includes attribute information of the part members constituting the system product. Size and manufacturer type correspond to this.

FIG. 2 shows a basic flowchart of the estimation reply process of the system S.

First, the custom specification information input by the user is fetched (101). Next, the special order basic information database 5
a) sequentially reads out a plurality of pieces of special order basic information data stored in a and compares the number with the special order specification of the entry data to determine a predetermined number of attribute information of each part member included in the entry data that matches the special order basic information data. Only when the number is equal to or more than the number, it is determined that the data is similar and data is extracted. This process is executed for all data in the database 5a (the above, 102 to 106).

Then, the discount rate is determined according to the number of pieces of attribute information that match the extracted special order basic information determined as similar, and the answer including the estimated price is displayed to the user (10).
7, 108).

FIG. 3A is a comparison table between entry data of a custom specification and basic information hit as a similar specification, and FIG. 3B is a discount rate table defining a discount rate for each similarity rate. Here, the similarity ratio includes a value represented by a ratio at which the attribute information matches, a value represented by the number of attributes matching (similarity), and the like.

There are three basic information (2) similar to the entry data (1), and the number of matching attributes is 7 for the first, 9 for the second, and 6 for the third. According to the similarity rate (similarity), the discount rate is determined to be 6%, 10%, and 5% from the discount rate table of (b).

If the user orders the product as it is, the production is performed based on the second basic information having the highest discount rate, so that a useful discount service can be provided to the user, and the similarity can be subdivided. Since the discount rate is defined in the form of a discount, if the result of sufficiently examining the profit rate is reflected in the discount rate table, a custom-made production estimate with less risk can be realized.

Also, by referring to this discounted estimate, the user can naturally be guided to order the same standard product as the basic information having a higher discount rate. The operating producer or the like can substantially reduce orders for custom-made specifications and increase orders for ready-made and semi-finished products.

In order to guide the user in this manner, the manufacturer may register a specific standard product which does not cost much in the special order basic information database 5a. Alternatively, as shown in FIG. 4, custom specification information of a system product of a case that has been made to order in the past may be stored in the database 5a each time an order is received or each time production is completed. The storage of the custom specification information in the database 5a is performed by operating the custom information storage unit 4.

The inputted custom specification information is stored in the database 5
a, the basic information can be gradually increased, and since the order is an order actually received in the past, the design drawing or the like can be diverted. Can be realized.

The present invention proposes various types of discount rate determination using FIGS. 1 and 2 as a basic configuration and a basic process.
Hereinafter, these will be described.

(A) Decision of discount rate when there is a correlation between each attribute information FIG. 5A shows a case where a part of the input custom specification information includes a plurality of attribute information having a correlation. 2 shows a list of attribute information.

For example, the attribute information shown in the table of FIG.
Although it is composed of one attribute element, the “size W” of the floor cabinet limits the “ball position” which is an attribute of the washbasin counter. Therefore, the two have a correlation with each other. It can be said that the “ball type” and “ball position” of the wash counter also have a correlation. Therefore, a plurality of correlated attribute element groups are combined and treated as one attribute, and similarity is determined. As a result, the total number of attributes is nine, and the determination result is as shown in Table (c).

The correlation between the attributes is as shown in FIG.
Is defined in the correlation definition table 5b. Here, an example in which each attribute is defined in a one-to-one manner is illustrated. However, a special correlation is defined such as a case where the “ball position is limited to the right” only when the “size W is 1000 mm”. You may. Also, three or more attribute groups may be defined.

By correctly defining the correlation, it is possible to make the user recognize the member group having the correlation in advance, and to prevent an input error and an impossible custom combination from being selected.

(B) Determination of Discount Rate Considering the Difficulty of Procurement of Members FIG. 6A shows an example of the internal structure of the discount master 5c for member-specific discount rates.

For example, the difficulty of procurement of the members "Kalan" and "Handle" differs depending on the manufacturer.
In the member-specific discount rate conversion master 5c, a discount rate that is adjusted according to the difficulty level of the material procurement is defined in a plurality of stages. When the user's entry data includes a company A's callan and a company B's handle, the similarity determination is as shown in FIG. 6B. That is, 1 of the basic information (2)
In the case of, the similarity is 7, so the discount rate is 6%. In the case of 2, the similarity is 9, but the procurement difficulty is "difficult" for both the callan and the handle, so the discount rate is adjusted. Then, the final discount rate becomes “0”. FIG. 7 shows a flowchart of the discount rate adjustment in consideration of the member-specific discount rate conversion master 5c.

As described above, since the discount rate is adjusted in consideration of the difficulty of material procurement, if a judgment result with less risk is returned to the user, a special order in consideration of the balance between profit and risk can be obtained. Guide to specification becomes possible.

It should be noted that the custom-made basic information database 5a may store the degree of difficulty included in the basic information. Further, the degree of similarity may be calculated for each part member, and the degree of difficulty may be determined by converting the degree of similarity for each member into the number of man-hours for member procurement.

(C) Determining the discount rate in consideration of the total man-hours FIG. 8A shows the attribute element man-hour master 5d in which the required man-hour is defined for each attribute, and FIG. 8B defines the discount adjustment rate in accordance with the entire man-hour. This is the man-hour-specific discount rate conversion master 5e.

The final discount rate is calculated based on these masters 5d, 5d
Adjusted according to e. That is, for the entry data (1) shown in (c), if the basic information (2) is 1, the similarity is 7, and the final discount rate is 5% by adjusting the discount rate by man-hours. The similarity is 9, and the final discount rate is also 5% by adjusting the discount rate by man-hours. FIG. 9 is a flowchart of the discount rate adjustment by man-hours.
Shown in

Since the ratio of the diverted portion tends to be relatively small in the case of a large number of man-hours, by adjusting the discount rate according to the man-hour, it is possible to guide a custom-made specification in consideration of the balance between profit and risk as a manufacturer.

Further, the total required man-hours may be stored in the special-order basic information database 5a while being included in the basic information.

When saving the basic information, if the calculated total man-hour exceeds a predetermined value, the basic information may not be stored. This is because manufacturing costs are not appropriate as custom-order basic information. FIG. 11 shows a flowchart of the basic information storage based on the required man-hour value determination.

(D) Determination of discount rate in consideration of the number of diversions of basic information FIG. 10A shows a database 5a in which the basic information of past custom-designed cases includes information on the number of times that the basic information has been diverted as basic information. It is a figure which shows an internal structure, (b) is a figure which shows the discount discount conversion master according to frequency | count which defined the adjustment discount rate according to the diversion frequency.

After the similarity is determined, the discount rate to be adjusted is determined by referring to the frequency discount rate master from the “number of uses” of the extracted basic information, and the final discount rate is calculated. In this case, the adjustment discount rate is determined by the master, but the discount rate (for example, 0.0005%) is used for the number of times of use.
May be determined by a calculation formula such as a value obtained by multiplying by an adjustment discount rate.

Since the work efficiency of a similar case generally increases as the number of diversions increases, an adjustment discount rate according to the number of diversions is further added to the discount rate based on the similarity, so that the user can be given a specific diversion frequently. It can lead to custom specifications.

(E) Determination of discount rate in consideration of order date of basic information FIG. 12 is a diagram showing the internal structure of the database 5a including the date of receiving the order in the basic information of the past custom-designed case.

After the similarity is determined, if the order date of the system product is within a predetermined period before the processing date, the discount is further performed. For example, as shown in the processing flowchart of FIG. 13, if it is within two weeks, it is determined that simultaneous production is possible, and the price may be further reduced. Here, the order receiving date includes a date in which the date actually received is stored together with the special order information, a date in which the date used in the basic information that is diverted is updated and stored, and the like.

If the similar case is a recent order, the efficient production is possible even if the simultaneous production or the simultaneous production is impossible. Therefore, it is possible to perform the estimation with the discount rate further increased. As a result, it is possible to guide the user to a custom-made specification having a large number of productions.

(F) Decision of discount rate in consideration of the degree of progress of past cases FIG. 14 (a) is a diagram showing the internal structure of the database 5a in which basic information of past custom specification cases includes the case number. (B) is a diagram showing an example of a progress file 5f in which the degree of progress is stored for each case number,
(C) is a diagram showing an example of a progress-based discount rate conversion master that defines an adjustment discount rate corresponding to the degree of progress.

The progress file 5f includes a degree of progress that is updated each time the case work is performed, and order presence / absence data (（×) indicating whether the case can be diverted. For example,
Cases in which products have been shipped after all processes have been completed and cases in which the products are expected to be completed are marked with ○ because drawings etc. can be used.

The progress file 5f is directly referred to based on the case number included in the basic information of the special-order basic information database 5a. It should be noted that the degree of progress may be directly included in the basic information of the database 5a without having the progress file 5f.

Then, an adjustment discount rate corresponding to the degree of progress is obtained from the progress-based discount rate conversion master, and a final discount rate is calculated.

FIG. 1 is a flowchart for determining the final discount rate.
It is shown in FIG.

Comparing a completed project or a completed project with completed drawings or completed projects and the progress status of the process at the initial stage, it is clear that the latter is efficiently diverted. By differentiating this difference with a discount rate, a safer estimate can be realized.

Note that the determination of the adjustment discount rate is not limited to the two steps of the order presence / absence (○ ×), but may be calculated by a discount coefficient set for each of a plurality of steps.

(G) Determining the discount rate in consideration of the stock number of members FIG. 16 (a) is a diagram showing the internal structure of a member stock number master 5g that manages the stock number of members for each manufacturer. (B) is a determination table indicating entry data (1) and basic information (2) determined to be similar to the entry data (1). Here, the member stock count master 5g includes the stock count represented by a relative value from the reference stock count, but is not limited to such a relative quantity, and may be represented by an absolute quantity.

In the case of 1 in the basic information (2), the similarity is 8, and the number of stocks in both the callan and the handle is large.
When a handle made by the company is adopted, a discount rate of 2% is additionally adjusted. In the case of 2, the similarity rate is also 8, but the stock number of the handle made by the company A is smaller than the standard stock number. Therefore, the adjustment discount rate is 1%, and the final discount rate of 1 is larger.

FIG. 1 is a flowchart for determining the final discount rate.
It is shown in FIG.

When the producer answers these two results to the user, the manufacturer is prompted to select one special order item having a large discount rate and to use the custom order specification using a member with a large stock quantity. be able to. As a result, it is possible to maintain an appropriate stock quantity while maintaining customer satisfaction.

(H) Determination of discount rate by simplification of process FIG. 18 is a diagram showing a flowchart of determination of a discount rate when the user entry data includes simplification instruction information.

The simplification instruction information is input by the user through the input unit 1 and includes, for example, information that allows the user to specify a drawing that may be omitted for each drawing. The number of drawings that can be omitted is calculated from this input value, and the discount rate is adjusted accordingly. As a result, it is possible to provide a discount service by simple production that incorporates user requirements,
It can be delivered in a short time.

The discount rate table, correlation table 5b, and various masters used in the above-described various discount rate determinations are those previously defined in a file or the like in the storage means, those which can be registered and updated by the update means, and those in the program. Any of the above methods can be used.

Further, in order to respond to various needs of the customer, not only the estimation including the above-described discount but also the answer to the user that the delivery date can be shortened in place of the discount together with the discount estimate is displayed. May be selected.

[0075]

As can be understood from the above description, according to the present invention, in response to a user's request for an estimate of a custom specification, basic information on recommended products having a high degree of similarity and discounts determined by subdividing the degree of similarity are determined. Since the rate is presented, a discount service with high customer satisfaction can be realized, and the user's order can be led to a standard product with low risk, so that the order of custom specification can be substantially reduced. .

According to the second aspect of the present invention, since the attribute information of the correlated members is defined in advance in the custom specification, the user can correctly recognize the correlation before ordering, and can select an input error or an impossible custom combination. Can be prevented from occurring.

According to the third aspect, since the special order basic information database includes product information of past orders received, design documents and drawings can be diverted by repeat orders, and the discount rate can be further increased.

According to the fourth aspect, the inputted custom specification information is stored in the special order basic information database, so that the basic information for the special order can be gradually increased.

According to the fifth aspect, the discount rate is adjusted in consideration of the difficulty in procuring parts. Therefore, if a judgment result with less risk is adopted and the user is answered, the balance between profit and risk can be improved. It is possible to guide to custom specifications that take into account

According to the sixth aspect, the discount rate is adjusted according to the total man-hours to suppress the discount rate of a project having a large number of man-hours, thereby avoiding risk and providing the user with a custom-ordered specification in consideration of the balance between profit and risk. It can also be guided.

According to the seventh aspect, since the number of times the basic information is diverted is counted and stored in the database, the discount rate can be determined by adding an adjustment discount rate in accordance with the number of diversions. You can be guided to a specific custom specification.

According to the eighth aspect, if the calculated total man-hour exceeds a predetermined value, the basic information is not stored, so that a case where the manufacturing cost becomes excessive can be excluded from the special-order basic information.

According to the ninth aspect, the discount is adjusted on the order receiving date of the special order basic information. Therefore, when the immediately preceding order for which simultaneous production or efficient production is possible becomes the basic information, A larger discount rate can be set. As a result, it is possible to guide the user to a specific custom specification with high production frequency.

In claim 10, since the degree of progress of the custom-designed specification case is managed by a progress file or the like, the case where only drawings are created, the case where the process is in the initial stage, the case where the process is expected to be completed, the case where the process is completed As in the above, it is possible to differentiate by the discount rate for each stage, and more secure estimation can be realized.

According to the eleventh aspect, since the stock quantity of the members used for the production of the product is managed, the user can be guided to the specific special specification using the member having the large stock number. As a result, it is possible to perform production while maintaining an appropriate number of components while maintaining customer satisfaction.

According to the twelfth aspect, since the user can be instructed to simplify the process (for example, omission of the drawing), it is possible to propose an inexpensive custom specification. In addition, operations with high productivity can be performed.

According to the thirteenth aspect, since the user is informed that the delivery date can be shortened in place of the discount, it is possible to respond to the user who requests the short delivery date.

[Brief description of the drawings]

FIG. 1 is a diagram showing an example of a basic system configuration of a system of the present invention.

FIG. 2 is a diagram showing a basic processing flowchart of estimation support processing of the present invention.

FIG. 3A is a comparison table for comparing input order information and similar basic information, and FIG. 3B is a similarity-based discount rate table.

FIG. 4 is a diagram showing an internal structure of a custom-made basic information database including information on past cases.

FIG. 5A shows an attribute list of a custom specification, FIG. 5B shows an example of a correlation definition table, and FIG. 5C shows an example of a comparison table of input order information and similar basic information.

6A is an internal structure of a member-specific discount rate conversion master, and FIG. 6B is an example of a determination comparison table between input order information and similar basic information.

FIG. 7 is a flowchart for determining a discount rate in consideration of the difficulty of member procurement.

8A is a diagram showing an example of the internal structure of an attribute element-based man-hour master, and FIG.
(C) is an example of a judgment comparison table between input order information and similar basic information.

FIG. 9 is a flowchart of a discount rate determination in consideration of the overall man-hours.

FIG. 10A is a diagram showing an example of an internal structure of a custom-made basic information database including information on the number of diversions, and FIG.

FIG. 11 is a flowchart of saving basic information based on a required man-hour value determination.

FIG. 12 is a diagram showing an example of an internal structure of a special order basic information database including order date information.

FIG. 13 is a flowchart of a discount rate determination in consideration of the order receipt date of a past case.

14A is a diagram showing a special order basic information database including a case number, FIG. 14B is a diagram showing an example of an internal structure of a progress file classified by case number, and FIG. .

FIG. 15 is a flowchart for determining a discount rate in consideration of the degree of progress of past cases.

FIG. 16 (a) is an internal structure of a member stock count master,
(B) is a figure which shows an example of the judgment comparison table of input order information and similar basic information.

FIG. 17 is a flowchart for determining a discount rate in consideration of the stock number of members of a custom specification.

FIG. 18 is a flowchart for determining a discount rate by specifying process simplification.

[Explanation of symbols]

 S Business quotation support system 1 Input means 2 Arithmetic processing means 3 Display means 4 Special order information storage means 5 Storage means 5a Special order basic information database 5b Correlation definition table 5c Member-specific discount conversion master 5d Attribute element-specific man-hour master 5e Discount rate by man-hour Conversion master 5f Progress file 5g Material stock quantity master

Claims (15)

[Claims] A negotiation estimation support system using a computer for estimating a system product obtained by combining a plurality of parts according to a user's instruction input, wherein the attribute of each part of the system product desired by the user is provided. Input means for inputting custom specification information including information, display means for displaying at least the result of estimation, and special order base storing attribute information of each part for each system product as special order basic information Storage means including an information database, and arithmetic processing means for performing estimation on the custom specification information input by the user, the arithmetic processing means sequentially reading the special order basic information from the special order basic information database, The input special order specification information and the read special order basic information are compared for each attribute information, And calculating a similarity ratio that is a ratio of matching attribute information, and, when there is similar custom-order basic information having a predetermined similarity ratio, performing estimation taking into account a discount. Business quotation support system. 2. The plurality of input attribute information according to claim 1, wherein said storage means further includes a correlation definition table in which a correlation between attribute information having a relationship governing each other's specifications is defined in advance. Contains attribute information defined in the correlation definition table, when calculating the similarity ratio, a plurality of attribute groups that are related to each other are treated as one attribute, and a match / mismatch is determined. Business quotation support system characterized by the following. 3. The negotiation estimate support system according to claim 1, wherein the special order basic information database includes special order basic information of a custom specification for a system product of an order received in the past. 4. The negotiation estimation support system according to claim 3, further comprising a special order information storage unit for storing the special order specification information input from the input unit in a special order basic information database. 5. The arithmetic processing means according to claim 1, wherein said storage means further comprises a member-specific discount rate conversion master which defines the difficulty of parts procurement in correspondence with an adjustment discount rate. When custom specification information that specifies the member defined in the member discount rate conversion master is entered,
A negotiation estimate support system, wherein an estimate is performed by adding an adjustment discount rate to a discount rate determined by a similarity rate. 6. The man-hour storage device according to claim 1, wherein said storage means corresponds to an element-based man-hour master storing man-hours required for each attribute of each custom-designed part, and corresponds to an overall man-hour required for one order received. And a discount master for each man-hour which defines the adjusted discount rate for each man-hour. The arithmetic processing means calculates the overall man-hour of the received order, and determines the discount rate determined by the similarity rate according to the overall man-hour. A business quotation estimation support system characterized in that a quotation is taken in consideration of an adjusted discount rate. 7. The special-order basic information according to claim 4, wherein the special-order basic information includes information on the number of diversions used for estimation, and the arithmetic processing means converts the special-order basic information for which similar determination has been made into the estimate. Each time it is diverted, the number of diversions is counted up and stored in the above-mentioned special order basic information database together with the special order basic information, while according to the number of diversions included in the similar special order basic information extracted from the above special order basic information database. A negotiation estimate support system, wherein the quotation is executed by adjusting the discount rate. 8. The special-order information storing means according to claim 4, wherein said custom-order information storage means calculates man-hours required for the ordered product when storing the special-order basic information in the special-order basic information database, and the calculated value is a predetermined value. A business quotation support system that does not save when the man-hours are exceeded. 9. The special order basic information according to claim 4, wherein the special order basic information includes order date information, and the arithmetic processing means is configured to return the order date extracted from the special order basic information database from the processing date. A negotiation estimation support system, wherein a quotation is executed by adjusting a discount rate within a predetermined period. 10. The storage device according to claim 1, wherein the storage unit includes a progress file that is classified for each custom-made product case and has a degree of progress of the case. A business quotation support system characterized in that the degree of progress of the system product of the received special order basic information is extracted from the progress file, the discount rate is adjusted according to the degree of progress, and the quotation is executed. 11. The member inventory number master according to claim 1, wherein said storage means includes a member inventory number master storing an inventory number of parts constituting a system product. A negotiation estimation support system characterized in that the user refers to the stock number of components necessary for the system product desired by the user, adjusts the discount rate according to the stock number, and executes a quotation. 12. The custom specification information input from the input means, the simplification specification information which allows a user to set the simplification of the process step by step for each production process. A negotiation estimation support system, wherein a quotation is executed by adjusting a discount rate according to a simplified simplification stage. 13. A negotiation estimation support system according to claim 1, wherein a reply is displayed that the delivery date can be shortened in place of the discount of the finally determined discount rate. 14. A negotiation estimation support system program for estimating a system product comprising a combination of a plurality of part members in accordance with a user's instruction input. A function to receive custom specification information including multiple attribute information related to the system, and a special order basic information for system products sequentially read out from a special order basic information database in which attribute information of each part is sorted and stored for each system product, and the special order entered A function of comparing the specification information with the read special order basic information for each attribute information to determine a match or a mismatch, and calculating a ratio at which the attribute information matches as a similarity ratio, and a similarity having a predetermined similarity ratio If the special order basic information exists, the negotiation estimate support system for executing the function to perform the estimate taking into account the discount Temu program. 15. A negotiation estimation method for estimating a system product comprising a combination of a plurality of part members in accordance with a user's instruction input, the method comprising: A step of receiving custom specification information including attribute information; and sequentially reading the special order basic information of the system product from a special order basic information database in which the attribute information of each part is previously sorted and stored for each system product. Comparing the read special order basic information for each attribute information to determine a match or a mismatch, and calculating a ratio of the attribute information matching as a similarity ratio; similar custom order basic information having a predetermined similarity ratio And performing a step of performing a quotation in consideration of a discount if the negotiation quotation method exists.