JP2013171338A - Purchase management system of server, method thereof and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a purchase management system of a server capable of easily and uniformly evaluating a fair price of a purchase object server despite an examination entity and being useful for price negotiation, and to provide a method therefor.SOLUTION: A purchase management system 10 of a server includes: benchmark value acquisition processing means 25 that acquires a benchmark value of the server having hardware specification data with which a purchase object server and a name of CPU, the chip number of CPU, and a memory capacity match, from a benchmark database 30; theoretical price calculation processing means 26 that substitutes the acquired benchmark value in a theoretical price calculation expression obtained by analyzing correlation between the benchmark value and an actual purchase price and calculating the theoretical price of a server with the same specifications as the purchase object server; and theoretical price presentation processing means 27 that displays the calculated theoretical price on a screen.

Description

  The present invention relates to a server purchase management system configured by a computer that supports server purchase operations, a method thereof, and a program. For example, the present invention is used for price negotiation with a server vendor when a server is purchased. it can.

  In companies that purchase a large number of expensive servers, it is an important task to negotiate discounts and reduce costs. Therefore, when such a company purchases a server from a sales agent (vendor), a purchase review is usually performed to check whether the estimated price presented by the sales agent is appropriate. Conventionally, in this purchase review, whether the estimated price presented by the sales agent is appropriate based on the discount rate (discount rate) of the company's past purchase record, the minimum price of the company's past purchase record, etc. Evaluation was conducted, and companies were negotiating prices with sales agents based on the evaluation results.

  A bidding system is known that obtains the correlation between the function and price of a part based on the price, function, and quantity of the part, and bids the cheapest part (see Patent Document 1).

JP 2003-203175 A

  However, in the method of evaluating the appropriate price of the server to be purchased by referring to the discount rate of the past purchase record of the company as in the conventional purchase examination described above, a standard price is set for the server purchased in the past. If not, the discount rate cannot be calculated, when purchasing a new product, there is no past data to compare, the standard price itself may be intentionally set high, etc. Therefore, the estimated price presented by the sales agent may not be correctly evaluated. In addition, since all the comparisons are past purchase data, there is a limit in obtaining a current appropriate price for the purchase target server. Furthermore, since the purchase examination based on comparison with past purchase data is performed based on the judgment of each person in charge, there is also a problem that a difference occurs in the evaluation result depending on the person in charge of examination.

  An object of the present invention is to provide a server purchase management system and method, and a program that can easily evaluate the appropriate price of a server to be purchased easily and independently of a screening subject and are useful for price negotiation. It is in.

  The present invention is a server purchase management system configured by a computer that supports server purchase operations, and includes hardware specification data including three elements: a CPU name, a CPU chip count, and a memory capacity that constitute the server; Input of hardware specification data including the benchmark database that stores the benchmark values created for the purpose of comparing server performance in association with each other, and the CPU name, CPU chip number, and memory capacity of the server to be purchased Purchase target specification input reception processing means for executing a process of accepting data, and a server of the same specification having hardware specification data in which three elements coincide with the hardware specification data of the purchase target server received by the purchase target specification input reception processing means Get the benchmark value of from the benchmark database The benchmark value is calculated using the benchmark value acquisition processing means that performs the process, and the theoretical price calculation formula for the server obtained by analyzing the correlation between the benchmark value and the actual purchase price for multiple servers purchased in the past. Substituting the benchmark value acquired by the acquisition processing means, the theoretical price calculation processing means for executing the process of calculating the theoretical price of the server of the same specification as the purchase target server, and the theoretical price calculated by this theoretical price calculation processing means Is provided with theoretical price presentation processing means for executing processing for screen display or printing.

  Here, the “benchmark value acquisition processing means” is “the benchmark value of the server of the same specification having the hardware specification data whose three elements match the hardware specification data of the purchase target server received by the purchase target specification input reception processing means”. "Is acquired from the benchmark database, but it does not mean that only" the benchmark value of the server with the same specification "is acquired, but at least" the benchmark value of the server with the same specification "is acquired. Accordingly, the present invention is not limited to a configuration that acquires only the “benchmark value of the server with the same specification”, and, as will be described later, in addition to the “benchmark value of the server with the same specification”, the number of CPU chips among the three elements Alternatively, the configuration may be such that the benchmark value of a server with similar specifications having hardware specification data that does not match the memory capacity is also acquired.

  In addition to the relational expression between the benchmark value and the actual purchase price, the “theoretical price calculation formula for the server obtained by analyzing these correlations using the benchmark value and the actual purchase price” It may be a relational expression with a performance unit price (a value obtained by dividing the actual purchase price by a benchmark value), and these relational expressions may be any function such as a linear function, a quadratic function, a logarithmic function, and the like.

  In such a server purchase management system of the present invention, the theoretical price calculated by the theoretical price calculation formula is presented for the hardware specification data of the input purchase target server. It becomes possible to evaluate the price correctly.

  For this reason, it is not an evaluation that refers to the discount rate of the past purchase record of the company, etc., so the inconvenience that occurred in the conventional purchase examination mentioned above, that is, the standard price is not set for the server purchased in the past There are disadvantages due to reasons such as the discount rate cannot be calculated, when purchasing a new product, there is no past data to compare, and the standard price itself may be intentionally set high. It can be solved.

  In addition, if the theoretical price calculation formula (coefficients and constant terms of each term) is updated as appropriate, or the data in the benchmark database is updated as appropriate, it is possible to obtain the current appropriate price for the server to be purchased. Become.

  Furthermore, if the specifications for the server to be purchased described in the quotation or purchase application form are the same, the same information can be presented to each person in charge of purchase review. Inconveniences such as differences in evaluation results can be eliminated, and the above object can be achieved.

  In the bidding system described in Patent Document 1 described above, correlation analysis by regression calculation is performed to obtain the correlation between the function and the price for the part. The data of the main function (rating) that determines the price is fetched, the price data of the corresponding part is fetched from the purchasing information server, and the correlation between them is analyzed. There is no equivalent to the three elements of the hardware specification data that links the actual purchase price, and the configuration is completely different from the present invention.

  Further, in the server purchase management system described above, hardware specification data including the manufacturer name and product name of the purchased server, and the CPU name, CPU chip number, and memory capacity constituting the purchased server, Purchase history database that stores the actual purchase price and order date in association with each other, and the latest analysis period that is updated by shifting the period start date and period end date from the past to the present A plurality of servers purchased within the analysis period are taken as analysis target servers, and the hardware specification data and actual purchase price for these analysis target servers are acquired from the purchase history database, and the hardware specifications of the acquired analysis target servers are also acquired. Benchmark values corresponding to the data are obtained from the benchmark database and obtained analysis Analyzing the correlation between the benchmark value and the actual purchase price using the benchmark value and the actual purchase price for the elephant server, and equipped with an analysis processing means to execute the process to obtain the theoretical price calculation formula, the theoretical price calculation The processing means is preferably configured to execute a process of calculating a theoretical price using the theoretical price calculation formula obtained by the analysis processing means.

  In this way, when configured with analysis processing means, the theoretical price is calculated using the theoretical price calculation formula obtained by analysis using the latest purchase data, so with even higher accuracy, It is possible to obtain a current appropriate price for the server to be purchased.

  Further, in the server purchase management system described above, the benchmark value acquisition processing means has the same specification having hardware specification data whose three elements coincide with the hardware specification data of the purchase target server received by the purchase target specification input reception processing means. When there are multiple servers, the configuration is such that the benchmark values of those multiple servers are acquired from the benchmark database, and the theoretical price calculation processing means uses the The process of calculating the theoretical price of multiple servers with the same specifications as the purchase target server is executed by sequentially substituting multiple benchmark values obtained by the means, and the theoretical price presentation processing means is calculated by the theoretical price calculation processing means. The lowest of the calculated theoretical prices is set as the lowest theoretical price. Desirably it is configured to execute processing for displaying or printing.

  In this way, when the theoretical price presentation processing means is configured to present the lowest theoretical price, there is an increase in materials for judgment in discount negotiations. For example, the lowest theoretical price presented is used as the starting price for discount negotiation. It becomes possible.

  Then, as described above, in the case where the theoretical price presentation processing means presents the lowest theoretical price, the benchmark database includes the three elements of the CPU name, the number of CPU chips, and the memory capacity constituting the server, and , The manufacturer name of the server or the hardware specification data including the product name in addition to the manufacturer name and the benchmark value are stored in association with each other, and the purchase target specification input reception processing means includes the CPU name of the purchase target server, In addition to the three elements of the number of CPU chips and the memory capacity, the hardware price data including the manufacturer name or the manufacturer name and the product name is received. The theoretical price presentation processing means Of the theoretical prices of multiple servers with the same specifications as the purchase target server calculated by the calculation processing means, Processing to display or print the theoretical price of the server whose manufacturer's name matches the hardware specification data of the server to be purchased received by the specification input reception processing means as the appropriate purchase price. It is desirable to be configured to execute.

  In this way, when it is configured to present the appropriate purchase price by the theoretical price presentation processing means, the judgment material in the discount negotiation increases, for example, the presented appropriate purchase price is used as the price of the drop-off point in the discount negotiation. It can be used.

  Further, in the server purchase management system described above, a purchase history in which hardware specification data including the three elements of the CPU name, the number of CPU chips, and the memory capacity constituting the purchased server and the actual purchase price are stored in association with each other. The theoretical price presentation processing means includes a database, and the actual purchase price of the server of the same specification having the hardware specification data whose three elements match the hardware specification data of the purchase target server received by the purchase target specification input reception processing means. If stored in the purchase history database, the actual purchase price is acquired from the purchase history database, and if the acquired actual purchase price is lower than the theoretical price calculated by the theoretical price calculation processing means, The actual purchase price is also configured to execute the process of displaying or printing the screen as a reference price. And it is desirable that.

  In this way, when the reference price is presented by the theoretical price presentation processing means, it becomes possible to proceed with the discount negotiation advantageously by increasing the amount of judgment materials in the discount negotiation. It can be used as a starting price, or as a material for drawing out further discounts.

  Further, in the server purchase management system described above, the benchmark value acquisition processing means acquires the benchmark value of the server of the same specification, and in addition, the hardware specification data of the purchase target server received by the purchase target specification input reception processing means. Benchmark values of similar specification servers that have hardware specification data that do not match the number of CPU chips among the three elements are also obtained from the benchmark database, and the theoretical price calculation processing means uses the benchmark value acquisition processing means. The acquired benchmark value is the benchmark value of the server with the similar specification having the hardware specification data in which the hardware specification data of the purchase target server received by the purchase target specification input reception processing means and the number of CPU chips of the three elements do not match. If the bench The benchmark value is corrected by multiplying the benchmark value acquired by the token value acquisition processing means by the multiplication factor of the CPU number of the CPU of the purchase target server with respect to the number of CPU chips of the server of similar specifications, and the corrected benchmark value It is desirable that the correction processing is executed when the number of chips does not match by calculating the theoretical price by substituting

  In this way, when the theoretical price calculation processing means is configured to perform correction processing when the number of chips does not match, even if there is no server data that matches all three elements of the hardware specification data in the benchmark database, correction is performed. This makes it possible to calculate the theoretical price and to obtain material for discount negotiations.

  In the server purchase management system described above, the benchmark value acquisition processing means acquires the benchmark value of the server of the same specification, and also the hardware specification data of the purchase target server received by the purchase target specification input reception processing means. Benchmark values of similar specification servers with hardware specification data that do not match the memory capacity of the three elements are also obtained from the benchmark database, and the theoretical price calculation processing means is acquired by the benchmark value acquisition processing means. When the benchmark value is a benchmark value of a server with similar specifications having hardware specification data in which the memory capacity of the three elements does not match the hardware specification data of the purchase target server received by the purchase target specification input reception processing means Is the benchmark value acquisition process. Adding or subtracting the price obtained by multiplying the theoretical price calculated by substituting the benchmark value obtained by the means into the theoretical price formula, the difference between the memory capacity of the server to be purchased and the memory capacity of the server with similar specifications, and the memory unit price. Therefore, it is desirable that the correction process is executed when the memory capacity does not match, which corrects the theoretical price.

  In this way, when the theoretical price calculation processing means is configured to perform correction processing when the memory capacity does not match, even if there is no server data that matches all three elements of the hardware specification data in the benchmark database, correction is performed. This makes it possible to calculate the theoretical price and to obtain material for discount negotiations.

  As described above, when the theoretical price calculation processing unit performs the correction process when the memory capacity does not match, the theoretical price calculation processing unit accepts the input of the memory unit price, and uses the received memory unit price to store the memory capacity. It is desirable that the configuration is such that the mismatch correction process is executed.

  In this way, when the input of the memory unit price is received by the theoretical price calculation processing means, the correction process using the latest memory unit price can be easily performed during the memory capacity mismatch correction process.

  Further, in the server purchase management system described above, the theoretical price calculation processing means, when the theoretical price calculation formula is a linear formula, sets the performance unit price corresponding to the coefficient of the primary term of the theoretical price calculation formula or this performance unit price. In addition, it is desirable that a constant term change input is received and a recalculation process is performed to recalculate the theoretical price using a theoretical price calculation formula based on the changed performance unit price or the constant term.

  When the recalculation processing is performed by the theoretical price calculation processing means in this way, when a server equipped with a new CPU is released, the primary term for the theoretical price calculation formula that is a primary expression is used. It is possible to adjust the coefficient or the constant term of by manual judgment. For example, when a new CPU is installed, the benchmark value usually increases and the performance unit price decreases. Therefore, it is possible to perform recalculation processing by correcting the performance unit price downward.

  Further, as a server purchase management method realized by the server purchase management system of the present invention described above, the following server purchase management method of the present invention can be cited.

  That is, the present invention relates to a server purchase management method executed by a server purchase management system configured by a computer that supports server purchase operations, and includes a CPU name, a CPU chip count, and a memory constituting the server. The hardware specification data including the three elements of capacity and the benchmark value created for the purpose of comparing server performance are stored in the benchmark database in association with each other. A process of accepting input of hardware specification data including three elements of the CPU name, the number of chips of the CPU, and the memory capacity is executed, and the benchmark value acquisition processing means receives the purchase target specification input acceptance processing means. Have hardware specification data whose hardware specifications data and 3 elements match The benchmark value of one specification server is acquired from the benchmark database, and the theoretical price calculation processing means analyzes these correlations using the benchmark value and actual purchase price for multiple servers purchased in the past. Substituting the benchmark value acquired by the benchmark value acquisition processing means into the theoretical price calculation formula of the server obtained in this way, the process of calculating the theoretical price of the server with the same specifications as the server to be purchased is executed, and the theoretical price The presentation processing means executes a process of displaying or printing the theoretical price calculated by the theoretical price calculation processing means.

  In such a server purchase management method of the present invention, the operations and effects obtained by the server purchase management system of the present invention described above can be obtained as they are, thereby achieving the object.

  The program of the present invention is for causing a computer to function as the server purchase management system described above.

  The above-mentioned program or a part thereof is, for example, a magneto-optical disk (MO), a read-only memory (CD-ROM) using a compact disk (CD), a CD recordable (CD-R), a CD rewritable (CD -RW), read-only memory (DVD-ROM) using digital versatile disk (DVD), random access memory (DVD-RAM) using DVD, flexible disk (FD), magnetic tape, hard disk, It can be recorded on storage media such as read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM), flash memory, and random access memory (RAM) for storage and distribution. And, for example, a local area network (LA ), A metropolitan area network (MAN), a wide area network (WAN), a wired network such as the Internet, an intranet, or an extranet, or a wireless communication network, or a combination thereof. It is also possible to carry it on a carrier wave. Furthermore, the above program may be a part of another program, or may be recorded on a recording medium together with a separate program.

  As described above, according to the present invention, it is possible to present the theoretical price calculated by the theoretical price calculation formula for the hardware specification data of the input purchase target server. It is easy and can be evaluated uniformly regardless of the subject of examination, and there is an effect that a system useful for price negotiation can be realized.

1 is an overall configuration diagram of a server purchase management system according to an embodiment of the present invention. The block diagram of the benchmark database of the said embodiment. The block diagram of the purchase history database of the said embodiment. Explanatory drawing of the analysis period in the said embodiment. The figure of the graph which shows the relationship between the price in the said embodiment, and a benchmark value. The figure of the graph which shows the relationship between the performance unit price and benchmark value in the said embodiment. The figure of the flowchart which shows the flow of the purchase management process of the server of the said embodiment. The figure which shows an example of the theoretical price list display screen of the said embodiment.

  An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 shows the overall configuration of a server purchase management system 10 according to the present embodiment. FIG. 2 shows the configuration of the benchmark database 30, and FIG. 3 shows the configuration of the purchase history database 31. 4 is an explanatory diagram of the analysis period, FIG. 5 is a graph showing the relationship between the price and the benchmark value (performance value), and FIG. 6 is a performance unit price (value obtained by dividing the price by the benchmark value). ) And a benchmark value (performance value). Further, FIG. 7 shows a flowchart of the server purchase management process, and FIG. 8 shows an example of the theoretical price list display screen 100.

  In FIG. 1, a server purchase management system 10 includes a main body 20 constituted by a computer main body, an input means 40 such as a mouse and a keyboard, and a display device 50 such as a liquid crystal display and a CRT display. ing. In addition, although illustration is abbreviate | omitted, you may provide the printing apparatus.

  The main body 20 includes a benchmark data input reception processing unit 21, a purchase data input reception processing unit 22, an analysis processing unit 23, a purchase target specification input reception processing unit 24, a benchmark value acquisition processing unit 25, and a theoretical price calculation process. Means 26, theoretical price presentation processing means 27, a benchmark database 30, a purchase history database 31, and a theoretical price calculation formula storage means 32 are included.

  The benchmark data input reception processing means 21 is SPECint information indicating the performance of each server, that is, SPEC (system for the purpose of standardizing benchmark tests used for evaluating computer performance). A process for receiving input of information related to the benchmark to be evaluated and storing the received SPECint information in the benchmark database 30 (see FIG. 2) is executed. The SPECint information includes server hardware specifications (manufacturer name, product name, CPU name, CPU chip count, memory capacity), benchmark value (performance value), and shipping date. The benchmark value (performance value) is obtained by SPEC providing a benchmark program (for example, a program that executes integer arithmetic) to each manufacturer, and each manufacturer using the program to evaluate the performance of its own server. Number. Input of benchmark data (SPECint information) for each server may be performed by an input person operating the input means 40, or may be acquired from a SPEC server via a network such as the Internet.

  The purchase data input reception processing means 22 receives a purchase data input for a server actually purchased by the company, and executes a process of storing the received purchase data in the purchase history database 31 (see FIG. 3). . This purchase data includes the hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory capacity) of the purchased server, actual purchase price, and order date. Input of purchase data for the purchased server is performed by an input person operating the input means 40.

  Here, the actual purchase price to be input is a price used as data for analysis by the analysis processing means 23. In this embodiment, the CPU, the memory (main memory and the cache memory), and the basic configuration (board, Since three parts including a housing, a power supply unit, a bus, and the like have a great influence on price determination, these are defined as a server (a server in the case of a server price). The “three parts” here does not mean the CPU name, the number of CPU chips, and the memory capacity referred to as “three elements” in the present specification.

  Therefore, the price of the server in the present embodiment does not include the price of peripheral devices such as hard disks and network interfaces, and is often presented as an annual maintenance fee or a server import ( It does not include work costs such as installation) costs and introduction (current) costs. Also, it does not indicate the total cost amount considering the maintenance fee for a plurality of years (for example, five years). Furthermore, only hardware is targeted, and software is excluded. Then, using the actual purchase price of the server in the case of such definition, the analysis processing means 23 performs analysis processing to obtain a theoretical price calculation formula. Therefore, the theoretical price calculated by the calculated theoretical price calculation formula is also Naturally, the price is based on the same definition. For this reason, the person in charge of the purchase review examines and evaluates the price of the server to be purchased described in the quotation provided by the seller, the purchase application filled in by the purchase applicant, etc. You need to see the price of the part corresponding to the definition. In this embodiment, the server is defined as described above, but the definition of the server when the actual purchase price is input (that is, which part of the price is input as the actual purchase price, and the theoretical price calculation formula is And the definition of the server when reviewing / evaluating the price of the server to be purchased (that is, which part of the price is to be compared with the price of the estimate, purchase application, etc.) For example, the definition of the server is not limited to the definition of the present embodiment as described above.

  The analysis processing means 23 includes a plurality of items purchased in the latest analysis period in the analysis period (see FIG. 4) that is updated by shifting the period start date and the period end date from the past to the present. Servers (servers whose order date falls within the latest analysis period) are analyzed servers, and hardware specification data (manufacturer name, product name, CPU name, CPU chip number, The memory capacity) and the actual purchase price are acquired from the purchase history database 31 (see FIG. 3), and the acquired benchmark value for each analysis target server, that is, hardware specification data (manufacturer name, product name) of each analysis target server , CPU name, CPU chip count, memory capacity) and manufacturer name, product name, CPU name, CPU chip count, and memory capacity all match The benchmark value of the server is acquired from the benchmark database 30 (see FIG. 2), and the correlation between the benchmark value and the actual purchase price is analyzed using the acquired benchmark value and actual purchase price for the server to be analyzed. Thus, the theoretical price calculation formula (its coefficient and constant term) is obtained, and the theoretical price calculation formula (its coefficient and constant term) is stored in the theoretical price calculation formula storage means 32.

  At this time, the analysis processing means 23 may employ overlapping analysis periods as shown in FIG. 4 (A), or may adopt non-overlapping analysis periods as shown in FIG. 4 (B). .

  In the case of FIG. 4A, the length L of the analysis period can be set to, for example, one year, and the time interval P for executing the analysis process can be set to, for example, a one-month interval. TS1, TS2, TS3, and TS4 are period start dates, and TE1, TE2, TE3, and TE4 are period end dates. These are shifted by a time interval P from the past to the present. I'm talking. Further, assuming that the length of the analysis period is L = 2 years and the time interval of execution of the analysis process is P = 1 year, for example, the theoretical price calculation formula obtained by the analysis using the data from the year 2007 to 2008 is used. The theoretical price calculation used in 2009, the theoretical price calculation formula obtained by the analysis using the data from the year 2008 to 2009 is used in 2010, and the theoretical price calculation obtained from the analysis using the data from the year 2009 to 2010 is used. The formula can be used in 2011. Furthermore, if the length of the analysis period is L = 1 year and the time interval of execution of the analysis process is P = semi-annual interval, for example, the theoretical price calculation formula obtained by the analysis using the data of the year 2007 is used in the first half of 2008. The theoretical price calculation formula obtained by the analysis using the data of the second half of the year 2007 and the first half of 2008 is used in the second half of the year 2008, and the theoretical price calculation formula obtained by the analysis using the data of the year 2008 is 2009 Can be used in the first half of the year.

  In the case of FIG. 4B, if the length of the analysis period is L = 1 year, for example, the theoretical price calculation formula obtained by the analysis using the data of the year 2007 is used in the year 2008. The theoretical price calculation formula obtained by the analysis using the year data can be used in 2009, and the theoretical price calculation formula obtained by the analysis using the data of the year 2009 can be used in 2010.

  4A and 4B, the analysis processing execution timing is automatically determined by the analysis processing means 23, but it may be as follows. In the case of FIG. 4 (A), the analysis person may determine the timing of execution of the analysis process by human judgment without setting the time interval P of the analysis process execution at a fixed interval. The length L may be maintained for a certain period, or the length L of the analysis period may be changed each time by the person in charge of analysis by human judgment. In the case of FIG. 4B as well, the analyst may determine the execution timing of the analysis processing by human judgment, and therefore the analyst will manually judge the length L of the analysis period. You may change it each time.

  More specifically, the analysis processing means 23 analyzes the correlation between the benchmark values b1, b2, ..., bn and the actual purchase prices k1, k2, ..., kn, for example, by regression analysis or spline approximation. The theoretical price calculation formula K = f (B) with the explanatory variable as the benchmark value B and the objective function as the theoretical price K is obtained, and the coefficient and constant term defining K = f (B) are stored in the theoretical price calculation formula The process memorize | stored in the means 32 is performed. The theoretical price calculation formula K = f (B) may use any function (either linear or non-linear). For example, in the case of a linear function (see FIG. 5), the coefficient of the primary term and The constant term is stored in the theoretical price calculation formula storage means 32. If the constant term is small, it may be omitted (ignored).

  Further, the analysis processing means 23 correlates the benchmark values b1, b2,..., Bn and the performance unit price (value obtained by dividing the actual purchase price by the benchmark value) k1 / b1, k2 / b2,. And the relational value T = f (B), where the explanatory variable is the benchmark value B and the objective function is the performance unit price T, the theoretical price K is calculated by multiplying the performance unit price T by the benchmark value B. May be. As the relational expression T = f (B), any function may be used, for example, a logarithmic function (see FIG. 6). In the example of FIG. 6, an analysis period is provided for each year, and a logarithmic curve T = f (B) is obtained for each year. However, it is assumed that all data belong to one analysis period. A logarithmic curve T = f (B) may be obtained.

  The purchase target specification input reception processing means 24 is a hardware specification data (manufacturer name, product name, name, etc.) of the purchase target server described in the quotation presented by the seller or the purchase application filled in by the employee of the company. In addition, a process for receiving input of a CPU name, a CPU chip number, and a memory capacity (three elements) is executed. The hardware specification data of the purchase target server to be subject to purchase review is input by operating the input means 40 by the person in charge of purchase review.

  The benchmark value acquisition processing means 25 is hardware specification data in which the hardware specification data of the purchase target server received by the purchase target specification input reception processing means 24 and the three elements (CPU name, number of CPU chips, and memory capacity) match. A process of acquiring a benchmark value (performance value) and hardware specifications (manufacturer name, product name, CPU name, CPU chip number, memory capacity) of the same specification server from the benchmark database 30 (see FIG. 2). It is something to execute.

  Further, the benchmark value acquisition processing unit 25 stores the hardware specification data of the purchase target server received by the purchase target specification input reception processing unit 24 and the three elements (CPU name, number of CPU chips) in the benchmark database 30 (see FIG. 2). , And memory capacity), when there are a plurality of servers of the same specification having the same hardware specification data, benchmark values (performance values) and hardware specifications (manufacturer name, product name, CPU) of the plurality of servers (Name, number of CPU chips, memory capacity) is acquired from the benchmark database 30 (see FIG. 2).

  Furthermore, the benchmark value acquisition processing means 25 is the CPU of the hardware specification data and three elements (CPU name, CPU chip number, and memory capacity) of the purchase target server received by the purchase target specification input reception processing means 24. Benchmark values (performance values) and hardware specifications (manufacturer name, product name, CPU) of servers with similar specifications that have hardware specification data that does not match the number of chips and memory capacity (that is, servers that have at least the same CPU name) (Name, number of CPU chips, memory capacity) may be executed from the benchmark database 30 (see FIG. 2). In this case, a server with similar specifications having hardware specification data in which the number of chips of the CPU does not match may be acquired only when the manufacturer name matches, for example, when the manufacturer name and the product name match. Or the benchmark database 30 (see FIG. 2) does not have the benchmark data of the server of the same specification in which all three elements (CPU name, CPU chip number, and memory capacity) match. You may make it acquire only in the case.

  The theoretical price calculation processing means 26 reads the server's theoretical price calculation formula (its coefficient and constant term) stored in the theoretical price calculation formula storage means 32, and the benchmark value acquisition processing means 25 adds the read theoretical price calculation formula to the read theoretical price calculation formula. By substituting the acquired benchmark values (when benchmark values of a plurality of servers are acquired by the benchmark value acquisition processing means 25, by sequentially substituting those benchmark values), the same specifications as the purchase target server The process of calculating the theoretical price of the server is executed.

  Further, the theoretical price calculation processing means 26 is configured such that the benchmark value acquired by the benchmark value acquisition processing means 25 includes the hardware specification data of the purchase target server received by the purchase target specification input reception processing means 24 and three elements (CPU name, CPU In the case of a benchmark value of a server with similar specifications having hardware specification data in which the number of CPU chips does not match, the benchmark value acquired by the benchmark value acquisition processing means 25 is The benchmark price is corrected by multiplying the number of CPU chips of the server to be purchased by the number of CPU chips of servers with similar specifications, and the corrected benchmark value is substituted into the theoretical price calculation formula. Is executed when the number of chips does not match.

  Further, the theoretical price calculation processing means 26 is configured such that the benchmark value acquired by the benchmark value acquisition processing means 25 includes the hardware specification data of the purchase target server received by the purchase target specification input reception processing means 24 and three elements (CPU name, CPU The benchmark value acquired by the benchmark value acquisition processing means 25 is calculated as a theoretical price. Memory capacity mismatch that corrects the theoretical price by adding / subtracting the price obtained by multiplying the theoretical price calculated by substituting into the formula to the difference between the memory capacity of the server to be purchased and the memory capacity of the server with similar specifications by the memory unit price Execute hour correction processing. That is, when the memory capacity of the server to be purchased is larger than the memory capacity of the server with similar specifications, a price obtained by multiplying the difference by the memory unit price is added. If it is smaller than the memory capacity, the theoretical price is corrected by subtracting the price obtained by multiplying the difference by the memory unit price. At this time, the theoretical price calculation processing means 26 accepts the input of the memory unit price by the person in charge of purchase examination who operates the input means 40, and executes the correction process at the time of memory capacity mismatch using the accepted memory unit price.

  Then, when the theoretical price calculation formula is a linear formula, the theoretical price calculation processing means 26 is a performance unit price corresponding to the coefficient of the primary term of the theoretical price calculation formula by the person in charge of purchase examination who operates the input means 40. Alternatively, a change input of a constant term is accepted in addition to the performance unit price (in this embodiment, the constant term is omitted as shown in FIG. 8), and a theoretical price calculation formula based on the changed performance unit price or the constant term. Is used to recalculate the theoretical price.

  The theoretical price presentation processing means 27 is a server of the same specification or similar specification as the purchase target server calculated by the theoretical price calculation processing means 26 (a server in which all three elements match, or a CPU name matches. CPU (the number of CPU chips and memory capacity does not match) the theoretical price (when calculating the theoretical price of multiple servers of the same specification or similar specifications as the server to be purchased, all those theoretical prices) The server hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory capacity), benchmark value (performance value), and date of shipment are executed on the screen. (See FIG. 8).

  The theoretical price presentation processing means 27 executes a process of displaying or printing the minimum price among the plurality of theoretical prices calculated by the theoretical price calculation processing means 26 as the theoretical price lowest price (see FIG. 8).

  Further, the theoretical price presentation processing unit 27 purchases received by the purchase target specification input reception processing unit 24 among the theoretical prices of a plurality of servers having the same specification or similar specifications as the purchase target server calculated by the theoretical price calculation processing unit 26. A process for displaying or printing the theoretical price of the server whose hardware specification data matches the manufacturer name or the manufacturer name and the product name as the appropriate purchase price is executed (see FIG. 8). In the example of FIG. 8, the appropriate purchase price is indicated by underlining the theoretical price of the server with the same manufacturer name.

  Then, the theoretical price presentation processing means 27 has a hardware specification in which the hardware specification data of the purchase target server received by the purchase target specification input reception processing means 24 and the three elements (CPU name, number of CPU chips, memory capacity) match. When the actual purchase price of the server of the same specification having data is stored in the purchase history database 31 (see FIG. 3), the actual purchase price is acquired from the purchase history database 31, and the acquired actual purchase price is If the theoretical price calculated by the theoretical price calculation processing means 26 is lower than the theoretical price (the lowest theoretical price when a plurality of theoretical prices are calculated), the actual purchase price is also displayed on the screen as a reference price. A printing process is executed (see FIG. 8).

  As shown in FIG. 2, the benchmark database 30 includes hardware specifications (manufacturer name, product name, CPU name, CPU chip number, memory, etc.) as SPECint information (benchmark data) indicating the performance of a server published by SPEC. Capacity), a benchmark value (performance value), and a shipment date are stored in association with each other. The server number is given for convenience of explanation.

  As shown in FIG. 3, the purchase history database 31 includes hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory capacity), and results as purchase data for servers actually purchased by the company. The purchase price and the order date are stored in association with each other. The purchase number is given for convenience of explanation.

  The theoretical price calculation formula storage means 32 stores coefficients and constant terms of the theoretical price calculation formula. Therefore, when the theoretical price calculation formula is a linear formula, the coefficient and constant term of the primary term are stored, but in the example of FIG. 8 of the present embodiment, the constant term is omitted without being used (because the value is small). Ignore).

  In the above, each processing means 21 to 27 constituting the main body 20 is constituted by a central processing unit (CPU) provided inside the computer main body and one or a plurality of programs that define the operation procedure of the CPU. Realized.

  Further, the benchmark database 30, the purchase history database 31, and the theoretical price calculation formula storage means 32 are preferably realized by, for example, a hard disk or the like. Memory, RAM, EEPROM, MO, CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, FD, magnetic tape, or a combination thereof may be employed.

  In this embodiment, the server purchase management system 10 performs processing related to server purchase management work as follows.

  First, the server purchase management system 10 is started up (step S1), and an input person (a person in charge of purchase examination, a purchase applicant, or a person in charge of input) operates the input means 40. When a purchase data input screen (not shown) for the purchased server is requested to be displayed, the purchase data input acceptance processing means 22 displays the input screen on the display device 50. Enter hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory capacity), actual purchase price, and order date as purchase data for the server that the company actually purchased To do. Then, the purchase data input acceptance processing means 22 accepts the input of this purchase data, and the accepted purchase data is stored in the purchase history database 31 (see FIG. 3) (step S2).

  Next, an input person (a person in charge of purchase review, a purchase applicant, a person in charge of input, or a person in charge of input different from the person in charge of purchase data input) may be input means 40. When the display request for the SPECint information (benchmark data) input screen (not shown) is made, the benchmark data input reception processing means 21 displays the input screen on the display device 50. The person in charge, as SPECint information (benchmark data) published by SPEC, includes hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory capacity), benchmark value (performance value), and shipment Enter the date. Then, the benchmark data input acceptance processing means 21 accepts the input of this SPECint information (benchmark data), and the accepted SPECint information (benchmark data) is stored in the benchmark database 30 (see FIG. 2) (step S3). ). Note that the SPECint information (benchmark data) acquired from the SPEC server via a network such as the Internet by the benchmark data input reception processing means 21 may be directly stored in the benchmark database 30 (see FIG. 2).

  Subsequently, a plurality of servers (servers whose order date falls within the latest analysis period) purchased within the latest analysis period (see FIG. 4) are set as analysis target servers by the analysis processing means 23, and these Hardware specification data (manufacturer name, product name, CPU name, number of CPU chips, memory capacity) and actual purchase prices k1, k2,..., Kn about the analysis target server from the purchase history database 31 (see FIG. 3). Acquired benchmark values for each analysis target server, that is, hardware specification data (manufacturer name, product name, CPU name, CPU chip number, memory capacity) of each analysis target server, manufacturer name, product name, And the benchmark values b1, b2,..., Bn of the server in which all three elements (CPU name, CPU chip number, memory capacity) match, Using the benchmark values b1, b2,..., Bn and the actual purchase prices k1, k2,..., Kn obtained from the mark database 30 (see FIG. 2) and the acquired analysis target server, The theoretical price calculation formula K = f (B) (its coefficient and constant term) is obtained by analyzing the correlation between the obtained theoretical price calculation formula K = f (B) (its coefficient and constant term), The theoretical price calculation formula storage means 32 is stored (step S4).

  FIG. 5 shows a graph showing the relationship between the price and the benchmark value (performance value). In this graph, when there is no overlap in the analysis period as shown in FIG. 4B, the length of the analysis period is L = 1 year, and the theoretical price calculation formula is a linear linear expression in 2010. The theoretical price calculation formula K = f (B) is indicated by a solid line, and the theoretical price calculation formula K = f (B) for 2007 is indicated by a dotted line. Comparing these theoretical price calculation formulas K = f (B) in 2007 and 2010, compared to 2007, the slope of theoretical price calculation formula K = f (B) is higher in 2010 (that is, the performance unit price). It is a coefficient of the first-order term, and the constant term is small and is not considered here). Although the illustration of the theoretical price calculation formulas for 2008 and 2009 is omitted, it is clear from the data distribution that it falls between 2007 and 2010. Therefore, since the slope of the theoretical price calculation formula (ie, the performance unit price) gradually decreases every year, the latest steps obtained from the analysis using the latest analysis period data are used in the following steps. The theoretical price is calculated and presented using the theoretical price formula.

  Such a situation can also be confirmed by FIG. FIG. 6 shows a graph showing the relationship between the performance unit price (value obtained by dividing the price by the benchmark value) and the benchmark value. The data of this graph is the same as the data of FIG. 5, and the relational expression T = f (B) in 2010 when the approximation by the logarithmic function is performed is shown by a solid line, and the relational expression T = f (2009) B) is indicated by a one-dot chain line, and a relational expression T = f (B) in 2008 is indicated by a dotted line. When these relational expressions for 2008, 2009, and 2010 are combined, it can be seen that as the benchmark value (performance value) increases, the performance unit price decreases, and the benchmark value (performance value) of the server to be purchased. ) Gradually increases every year, so it can be seen that the performance unit price gradually decreases every year.

  After that, when the above preparations are complete, when the quotation presented by the seller or the purchase application completed by the purchase applicant is passed from the purchase applicant to the person in charge of purchase review, The person in charge of purchase examination operates the input means 40 to make a display request for the theoretical price list display screen 100 (see FIG. 8). When this display request is accepted by the purchase target specification input acceptance processing means 24, a theoretical price list display screen 100 as shown in FIG. 8 is displayed on the screen of the display device 50.

  8, the theoretical price list display screen 100 has a hardware specification data input unit 110, a performance unit price input unit 120 for inputting an arbitrary performance unit price, and a performance for displaying the latest performance unit price as an analysis result. Unit price display unit 121, memory GB unit price (price per 1 GB of memory capacity) input unit, theoretical price lowest price display unit 140, and reference price (actual purchase price lower than theoretical price lowest price) A unit 150, a theoretical price list display unit 160, and a “display theoretical price” button 170 for executing calculation (including recalculation) and display processing of the theoretical price are provided.

  The hardware specification data input unit 110 includes a manufacturer input unit 111 for the purchase target server, a product name input unit 112, a CPU name input unit 113, a CPU chip number input unit 114, and a memory. A capacity input unit 115 is provided.

  Then, in the hardware specification data input section 110 of the theoretical price list display screen 100 of FIG. 8, the person in charge of purchase operation operates the input means 40 to estimate the proposal presented by the seller, or the company's own purchase application. As the hardware specification data of the purchase target server described in the purchase application form entered by the user, the manufacturer name, product name, CPU name, CPU chip number, and memory capacity are input to each input unit 111-115. After the input, when the “display theoretical price” button 170 is pressed, the purchase target specification input acceptance processing means 24 accepts the input of hardware specification data of the purchase target server (step S5).

  Here, for example, as shown in FIG. 8, “Company B” is selectively input as the manufacturer name, “γ” is selectively input as the product name, “XX500” is selectively input as the CPU name, and the number of CPU chips “2” is selected and input, and “48 GB” is selected and input as the memory capacity.

  Subsequently, the benchmark value acquisition processing unit 25 matches the hardware specification data of the purchase target server received by the purchase target specification input reception processing unit 24 with the three elements (CPU name, number of CPU chips, and memory capacity). Benchmark values (performance values) and hardware specifications (manufacturer name, product name, CPU name, number of CPU chips, memory) of servers with the same specification having hardware specification data (if there are multiple servers) Capacity) is acquired from the benchmark database 30 (see FIG. 2) (step S6).

  In the example of FIG. 8, since the CPU name = “XX500”, the number of CPU chips = “2”, and the memory capacity = “48 GB”, the server shown in the example of FIG. The server data of server numbers = 1, 11 to 13, 22, 23, 31, 32 is extracted and acquired from the servers.

  In addition, the benchmark value acquisition processing means 25 uses the hardware specification data of the purchase target server received by the purchase target specification input reception processing means 24 and the CPU of the three elements (CPU name, CPU chip number, and memory capacity). Benchmark values (performance values) and hardware specifications (manufacturer name, product name, CPU) of servers with similar specifications that have hardware specification data that does not match the number of chips and memory capacity (that is, servers that have at least the same CPU name) (Name, number of CPU chips, memory capacity) is acquired from the benchmark database 30 (see FIG. 2) (step S6). However, in this embodiment, as an example, data of servers with similar specifications in which the number of CPU chips and the memory capacity do not match are acquired only when the manufacturer name and the product name match. Only when the manufacturer names match (that is, the product names do not have to match), server data of similar specifications in which the number of CPU chips and the memory capacity do not match may be acquired. Or, conversely, regardless of whether the manufacturer name and product name match, server data of the same specification with the same three elements (CPU name, number of CPU chips, and memory capacity) is the benchmark database 30 ( If the data does not exist in the server (see FIG. 2), similar specification server data in which the number of CPU chips and the memory capacity do not match may be acquired.

  In the example of FIG. 8, among the servers with manufacturer name = “Company B” and product name = “γ”, the CPU name is “XX500”, but the number of CPU chips is other than “2”. Alternatively, servers having a memory capacity other than “48 GB” are to be extracted, so the server data of server numbers = 14 to 16 is extracted and acquired from the servers shown in the example of FIG. The server with server number = 33 is a server that differs only in the number of CPU chips among the three elements, but the manufacturer name is D and is not extracted.

  In the example of FIG. 8, the hardware specifications of the server to be purchased include manufacturer name = “Company B”, product name = “γ”, CPU name = “XX500”, CPU chip number = “2”, memory capacity. = “48 GB” is input, and the server with the server number = 13 shown in the example of FIG. 2 is a server that satisfies all of these input conditions. Therefore, in the case where the server data that matches in this way exists in the benchmark database 30 (see FIG. 2), it is sufficient if the server data can be acquired (because an appropriate theoretical price can be calculated). Since it is not necessary to acquire server data of similar specifications with different CPU chip numbers and memory capacities among the three elements, it may not be acquired, but in the example of FIG. Acquired server data with similar specifications.

  Then, the theoretical price calculation processing means 26 reads the theoretical price calculation formula K = f (B) (its coefficient and constant term) stored in the theoretical price calculation formula storage means 32 and reads the read theoretical price calculation formula K. = F (B) by substituting the benchmark value acquired by the benchmark value acquisition processing unit 25 (when benchmark values of a plurality of servers are acquired by the benchmark value acquisition processing unit 25, the plurality of benchmark values Are sequentially substituted) to calculate the theoretical price of the server having the same specifications as the server to be purchased (step S7).

  In the example of FIG. 8, it is assumed that the theoretical price calculation formula K = f (B) is a linear expression of K = B × 1,250. That is, the performance unit price (coefficient of the first-order term) obtained by the analysis using the data of the latest analysis period is 1,250 yen, and the constant term is omitted because it is small. For example, the server with the manufacturer name = “Company A” and the product name = “α” in the first line in the theoretical price list display unit 160 of FIG. 8 is the server with the server number = 1 shown in the example of FIG. Since the benchmark value = 267, the theoretical price is calculated as 267 × 1,250 = 333,750 yen. The server with manufacturer name = “Company C” and product name = “δ” on the eighth line from the top in the theoretical price list display unit 160 in FIG. 8 is the server with server number = 22 shown in the example of FIG. Since the benchmark value = 251, the theoretical price is calculated as 251 × 1,250 = 313,750 yen (the lowest theoretical price).

  In addition, the benchmark value acquired by the benchmark value acquisition processing unit 25 in step S6 includes the hardware specification data of the purchase target server received by the purchase target specification input reception processing unit 24 and three elements (CPU name, number of CPU chips, and Benchmark value acquired by the benchmark value acquisition processing means 25 by the theoretical price calculation processing means 26 in the case of a benchmark value of a similar specification server having hardware specification data in which the number of CPU chips does not match. The benchmark value is corrected by multiplying the value by the ratio of the number of CPU chips of the server to be purchased to the number of CPU chips of the server with similar specifications, and the corrected benchmark value is substituted into the theoretical price calculation formula. The correction process when the number of chips does not match is calculated using the (Step S7).

  In the theoretical price list display section 160 of FIG. 8, the data marked with x is one of the hardware specification data of the purchase target server and any of the three elements (CPU name, CPU chip number, and memory capacity). The data is not done. The server on the seventh line from the top in the theoretical price list display unit 160 of FIG. 8 is the server with the server number = 16 shown in the example of FIG. 2 and the number of CPU chips = “1”. The number of chips does not match, and the ratio of the number of CPUs of the server to be purchased = “2” to the number of CPUs of the server of this similar specification = “1” is doubled. Therefore, since the benchmark value of this server is 130, the benchmark value is corrected to 130 × 2 = 260, and the theoretical price is 260 × 1,250 = 325,000 yen using the benchmark value 260 after the correction. Is calculated. Since this 325,000 yen is a theoretical price obtained by the correction processing when the number of chips does not match, “complement” is added to 325,000 yen in the theoretical price list display section 160 of FIG.

  Furthermore, the benchmark value acquired by the benchmark value acquisition processing unit 25 in step S6 is the hardware specification data of the purchase target server received by the purchase target specification input reception processing unit 24 and three elements (CPU name, CPU chip number, and Memory capacity), the benchmark value acquired by the benchmark value acquisition processing means 25 is calculated by the theoretical price calculation processing means 26. By adding / subtracting the price calculated by substituting the theoretical price calculated by substituting into the theoretical price formula, the difference between the memory capacity of the server to be purchased and the memory capacity of the server of similar specifications, and the memory unit price (memory GB unit price), Execute correction processing when the memory capacity does not match to correct the theoretical price ( Step S7). In the present embodiment, the memory GB unit price is already input to the memory GB unit price input unit 130 (see FIG. 8) by the person in charge of purchase review in step S5 and accepted by the theoretical price calculation processing means 26. Shall.

  The server on the fifth line from the top in the theoretical price list display unit 160 of FIG. 8 is the server with the server number = 14 shown in the example of FIG. 2 and the memory capacity = “24 GB”. The difference between the memory capacity of the purchase target server = “48 GB” and the memory capacity of the server of similar specification = “24 GB” is 24 GB, and for example, the memory GB unit price = 3,900 The price multiplied by the yen is 93,600 yen. Therefore, since the benchmark value of this server is 257, the theoretical price is calculated as 257 × 1,250 = 321,250 yen, and 93,600 yen is added to this 321,250 yen to correct it. The later theoretical price is calculated as 321,250 yen + 93,600 yen = 414,850 yen. Since these 414 and 850 yen are the theoretical prices obtained by the memory capacity mismatch correction process, “complement” is added to 414 and 850 yen in the theoretical price list display section 160 of FIG.

  Further, the server in the sixth line from the top in the theoretical price list display unit 160 of FIG. 8 is the server with the server number = 15 shown in the example of FIG. 2, the number of CPU chips = “1”, and the memory capacity = Since it is “24 GB”, it is a server in which both the number of CPU chips and the memory capacity do not match. The multiplication factor of the number of CPU chips of the server to be purchased = “2” with respect to the number of CPU chips of the server with similar specifications = “1” is twice. Therefore, since the benchmark value of this server is 130, the benchmark value is corrected to 130 × 2 = 260, and the theoretical price is 260 × 1,250 = 325,000 yen using the benchmark value 260 after the correction. Is calculated. The difference between the memory capacity of the purchase target server = “48 GB” and the memory capacity of this similar specification server = “24 GB” is 24 GB, and this difference is multiplied by, for example, memory GB unit price = 3,900 yen. The price will be 93,600 yen. Therefore, the theoretical price of this server is calculated as 325,000 yen in the correction process when the number of chips does not match, and further, 93,600 yen is added to this 325,000 yen in the correction process when the memory capacity does not match. The corrected theoretical price is calculated as 325,000 yen + 93,600 yen = 418,600 yen. Since this 418,600 yen is the theoretical price obtained by the correction process when the number of chips does not match and the correction process when the memory capacity does not match, “complement” is added to 418,600 yen in the theoretical price list display unit 160 of FIG. It is attached.

  Then, the server of the same specification or similar specifications as the purchase target server calculated by the theoretical price calculation processing means 26 by the theoretical price presentation processing means 27 (a server in which all three elements are identical, or a CPU name is identical. Is the theoretical price of a server whose CPU number and memory capacity do not match (if the theoretical price of multiple servers with the same or similar specifications as the server to be purchased is calculated, all those theoretical prices) 8 together with server hardware specifications (manufacturer name, product name, CPU name, CPU chip count, memory capacity), benchmark value (performance value), and shipping date, in the theoretical price list display screen 100 of FIG. The screen is displayed on the theoretical price list display unit 160 (step S8).

  At this time, the theoretical price presentation processing means 27 uses the minimum price (theoretical price marked with a star) among the plurality of theoretical prices calculated by the theoretical price calculation processing means 26 as the theoretical price lowest price as shown in FIG. Is displayed on the display unit 140 of the lowest theoretical price (step S8). This lowest theoretical price can be used as a starting price for discount negotiation, for example.

  Also, the purchase received by the purchase target specification input reception processing means 24 among the theoretical prices of a plurality of servers having the same or similar specifications as the purchase target server calculated by the theoretical price calculation processing means 26 by the theoretical price presentation processing means 27. The theoretical price of the server where the hardware specification data of the target server matches the manufacturer name or the manufacturer name and the product name match is displayed on the screen as an appropriate purchase price (step S8). In the present embodiment, as an example, the theoretical price of a server with the same manufacturer name (thus, the product name does not have to match) is displayed on the screen as an appropriate purchase price. This appropriate purchase price can be used, for example, as a price for discount negotiations.

  In the example of FIG. 8, the appropriate purchase price is displayed by underlining the theoretical price of the server whose manufacturer name = “Company B”. Note that the theoretical price obtained by the correction process when the number of chips does not match or the correction process when the memory capacity does not match is not underlined and may not be displayed as an appropriate purchase price.

  Further, the hardware specification data of the server to be purchased received by the purchase target specification input reception processing means 24 and the server of the same specification having the hardware specification data having the same three elements (CPU name, CPU chip number, memory capacity). When the actual purchase price is stored in the purchase history database 31 (see FIG. 3), the actual price purchase processing unit 27 acquires the actual purchase price from the purchase history database 31, and the acquired actual purchase price is When the price is lower than the theoretical price calculated by the theoretical price calculation processing means 26 (the lowest theoretical price when a plurality of theoretical prices are calculated), the actual purchase price is also used as a reference price as shown in FIG. Is displayed on the reference price display unit 150 (step S8). This reference price can be used, for example, as a starting price for discount negotiations or as a material for drawing out further discounts.

  In the example of FIG. 8, 310,000 yen, which is lower than the lowest theoretical price of 313,750 yen, is displayed as the reference price. This is the actual purchase of the server with purchase number = 3 shown in FIG. Price. In the server with purchase number = 2 shown in FIG. 3, the hardware specification data of the input purchase target server matches the manufacturer name, product name, CPU name, CPU chip number, and memory capacity. However, since the actual purchase price is 322,500 yen, it only indicates that it has been purchased at a price higher than the theoretical lowest price in the past. The price is not displayed. However, if there is a purchase record of a server in which the manufacturer name, product name, CPU name, CPU chip number, and memory capacity all match in the past, even if the price is higher than the theoretical lowest price, The price may be displayed on the screen or printed as a reference price, and can be used, for example, as a price for discount negotiation.

  Further, the latest performance unit price obtained by analyzing the coefficient of the primary term of the theoretical price calculation formula K = f (B) of the server read from the theoretical price calculation formula storage means 32 by the theoretical price presentation processing means 27. Are displayed on the performance unit price display unit 121 and the latest performance unit price is also displayed as a default on the performance unit price input unit 120.

  When the purchase target server is, for example, a server equipped with a new product CPU, the person in charge of purchase review is displayed on the performance unit price input unit 120 and the performance unit price display unit 121. When a performance unit price (for example, a performance unit price smaller than the latest performance unit price) different from the latest performance unit price is input and the “display theoretical price” button 170 is pressed, the change is input by the theoretical price calculation processing means 26. The recalculation process for recalculating the theoretical price is executed using the theoretical price calculation formula based on the calculated performance unit price, and the theoretical price presentation processing means 27 displays each recalculated theoretical price and the lowest theoretical price on the screen. .

  As described above, a series of processing related to the server purchase management work by the server purchase management system 10 is terminated (step S9). Thereafter, when the purchase target server is actually purchased through the purchase examination, the purchase price at that time becomes the actual purchase price, which is input in the above-described step S2 and is input to the purchase history database 31 (see FIG. 3). ), Such feedback is repeated.

  According to this embodiment, there are the following effects. That is, the server purchase management system 10 can present the theoretical price calculated by the theoretical price calculation formula to the hardware specification data of the input purchase target server, so the estimated price presented by the sales agent can be obtained. It can be evaluated correctly and can be used for discount negotiations.

  For this reason, it is not an evaluation that refers to the discount rate of the past purchase record of the company in the past, so the inconvenience that occurred in the conventional purchase review, that is, the standard price is set for the server purchased in the past If not, the discount rate cannot be calculated. When purchasing a new product, there is no past data to compare, the standard price itself may be intentionally set high, etc. Inconvenience can be eliminated.

  In addition, if the specifications of the server to be purchased described in the quotation or purchase application form are the same, the same information can be presented to each person in charge of purchase review. Inconveniences such as differences in evaluation results can be eliminated.

  Further, since the server purchase management system 10 includes the analysis processing means 23, it is possible to repeatedly obtain a theoretical price calculation formula from purchase data within the latest analysis period that moves in time. For this reason, since the theoretical price can always be calculated using the latest theoretical price calculation formula, the current appropriate price for the purchase target server can be obtained with high accuracy.

  Further, since the theoretical price presentation processing means 27 is configured to present the lowest theoretical price, it is possible to increase the judgment material in the discount negotiation. For example, the lowest theoretical price presented can be used for discount negotiation. Can be used as a starting price.

  Furthermore, since the theoretical price presentation processing means 27 is configured to present an appropriate purchase price, in this respect as well, it is possible to increase the judgment material in the discount negotiation. It can be used as the price for the negotiating point.

  Since the theoretical price presentation processing means 27 is configured to present a reference price, also in this respect, it is possible to increase the judgment materials in the discount negotiation and proceed with the discount negotiation advantageously. Can be used as a starting price for discount negotiations, or as a material to derive further discounts.

  Further, the theoretical price calculation processing means 26 is configured to perform a correction process when the number of chips does not match or a correction process when the memory capacity does not match, so that the server data in which all three elements of the hardware specification data match is the benchmark. Even if it is not in the database 30 (see FIG. 2), the theoretical price can be calculated by correction, and materials for discount negotiation can be obtained.

  Further, since the theoretical price calculation processing means 26 is configured to accept the input of the memory unit price (memory GB unit price) when performing the memory capacity mismatch correction process, the correction process using the latest memory unit price is performed. It can be realized easily and a more reliable theoretical price can be calculated.

  The theoretical price calculation processing means 26 is configured to execute a recalculation process that accepts a change input of the performance unit price and recalculates the theoretical price, so that a server equipped with a new CPU is released. For example, the theoretical price can be adjusted by human judgment. For example, when a new CPU is installed, the benchmark value usually increases and the performance unit price decreases. Therefore, the performance unit price can be corrected downward and recalculation processing can be performed.

  Note that the present invention is not limited to the above-described embodiment, and modifications and the like within a scope where the object of the present invention can be achieved are included in the present invention.

  For example, in the above-described embodiment, the input unit 40 and the display device 50 are directly connected to the main body 20 constituted by the computer main body. However, the present invention is not limited to this, and one function of the main body 20 is provided. Alternatively, it may be realized by a plurality of servers, and the input means 40 and the display device 50 may be provided in a terminal device connected to the server via a network such as the Internet, an intranet or an in-house LAN. In this case, the number of terminal devices may be one or more. For example, the person in charge of purchasing purchase data of the server actually purchased, the person in charge of inputting benchmark data (SPECint information), the person in charge of purchase review, Terminal apparatuses for applicants and the like may be provided separately, and if there are a plurality of persons in charge of purchase examination, they may be provided for each person in charge.

  In the above embodiment, the theoretical price calculation formula (its coefficient and constant term) is stored in the theoretical price calculation formula storage means 32 and read by the theoretical price calculation processing means 26. However, the present invention is not limited to this. For example, a theoretical price calculation formula may be described in a program that realizes the theoretical price calculation processing means 26. In this case, the theoretical price calculation formula may be included in an include file and imported when the program is created. included. However, from the viewpoint of reducing the workload of the system administrator and the rapid application of the latest theoretical price calculation formula, it is stored in the theoretical price calculation formula storage means 32 as in the above embodiment, and is read from there. It is desirable.

  Furthermore, in the embodiment, when the memory capacity mismatch correction process is performed, the theoretical price calculation processing means 26 is configured to receive the input of the memory unit price (memory GB unit price). However, the present invention is not limited to this. For example, the unit price of the memory may be described in a program that realizes the theoretical price calculation processing means 26. In this case, the case where the unit price of the memory is stored in an include file and is included when the program is created is included. However, from the viewpoint of reducing the workload of the system administrator and promptly applying the latest memory unit price, the theoretical price calculation processing unit 26 accepts the input of the memory unit price as in the above embodiment. Is desirable.

  As described above, the server purchase management system, method, and program configured by a computer that supports the server purchase operation of the present invention include, for example, price negotiation with a server vendor when a server is purchased. It is suitable for collecting information used as a material for the

DESCRIPTION OF SYMBOLS 10 Server purchase management system 23 Analysis processing means 24 Purchase target specification input reception processing means 25 Benchmark value acquisition processing means 26 Theoretical price calculation processing means 27 Theoretical price presentation processing means 30 Benchmark database 31 Purchase history database

Claims (11)

A server purchase management system configured by a computer that supports server purchase operations,
A benchmark database that stores hardware specification data including three elements of the CPU name, CPU chip number, and memory capacity constituting the server in association with a benchmark value created for the purpose of comparing server performance;
Purchase target specification input acceptance processing means for executing processing for accepting input of hardware specification data including three elements of the CPU name of the purchase target server, the number of chips of the CPU, and the memory capacity;
The benchmark value of the server of the same specification having the hardware specification data having the same three elements as the hardware specification data of the purchase target server received by the purchase target specification input reception processing means is acquired from the benchmark database. Benchmark value acquisition processing means for executing processing;
The benchmark value acquired by the benchmark value acquisition processing means in the theoretical price calculation formula of the server obtained by analyzing these correlations using the benchmark value and the actual purchase price for a plurality of servers purchased in the past. By substituting, a theoretical price calculation processing means for executing a process of calculating a theoretical price of a server having the same specification as the purchase target server,
A server purchase management system comprising: theoretical price presentation processing means for executing processing for displaying or printing the theoretical price calculated by the theoretical price calculation processing means. Corresponds to hardware specification data, actual purchase price, order date, including three elements of purchased server manufacturer name and product name, CPU name, CPU chip number, and memory capacity of the purchased server A purchase history database to store with,
Multiple servers purchased within the latest analysis period of the analysis period that is updated by shifting the period start date and period end date from the past to the present are the analysis target servers, and these analysis targets The hardware specification data and the actual purchase price for the server are acquired from the purchase history database, and the benchmark value corresponding to the acquired hardware specification data of the analysis target server is acquired from the benchmark database. Then, using the acquired benchmark value and the actual purchase price for the obtained analysis target server, the correlation between the benchmark value and the actual purchase price is analyzed, thereby executing a process for obtaining the theoretical price calculation formula Analysis processing means,
The theoretical price calculation processing means is:
2. The server purchase management system according to claim 1, wherein the theoretical price calculation formula obtained by the analysis processing unit is used to execute the process of calculating the theoretical price. 3. The benchmark value acquisition processing means includes:
When there are a plurality of servers of the same specification having hardware specification data that matches the three elements with the hardware specification data of the purchase target server received by the purchase target specification input reception processing means, The server is configured to execute processing for obtaining the benchmark value from the benchmark database,
The theoretical price calculation processing means is:
A process of calculating the theoretical price of a plurality of servers having the same specifications as the purchase target server by sequentially substituting the plurality of benchmark values acquired by the benchmark value acquisition processing unit into the theoretical price calculation formula. ,
The theoretical price presentation processing means is:
The configuration for executing a process of displaying or printing a minimum price among the plurality of the theoretical prices calculated by the theoretical price calculation processing means as a theoretical price lowest price is performed. The server purchase management system described in 1. The benchmark database is
The CPU name, CPU chip number and memory capacity constituting the server, and the hardware specification data including the server manufacturer name or the product name in addition to the manufacturer name and the benchmark value are associated with each other. It is configured to memorize,
The purchase target specification input acceptance processing means includes:
In addition to the three elements of the purchase target server CPU name, the number of CPU chips, and the memory capacity, it is configured to execute processing for receiving input of hardware specification data including a manufacturer name or a manufacturer name and a product name,
The theoretical price presentation processing means is:
Of the theoretical prices of a plurality of servers having the same specifications as the purchase target server calculated by the theoretical price calculation processing means, the hardware specification data and manufacturer of the purchase target server received by the purchase target specification input reception processing means 4. The processing for displaying or printing the theoretical price of a server with a matching name or a matching manufacturer name and product name as an appropriate purchase price is performed. 5. Server purchasing management system. A purchase history database that stores hardware specification data and actual purchase price in association with three elements of a CPU name, a CPU chip number, and a memory capacity that constitute a purchased server;
The theoretical price presentation processing means is:
The actual purchase price of the server of the same specification having the hardware specification data that matches the three elements with the hardware specification data of the purchase target server received by the purchase target specification input reception processing means is stored in the purchase history database. If the actual purchase price is acquired from the purchase history database and the acquired actual purchase price is lower than the theoretical price calculated by the theoretical price calculation processing means, the actual purchase price is acquired. The server purchase management system according to any one of claims 1 to 4, wherein a price is also configured to execute a process of displaying or printing a screen as a reference price. The benchmark value acquisition processing means includes:
In addition to acquiring the benchmark value of the server of the same specification, the hardware specification data of the purchase target server received by the purchase target specification input reception processing means matches the number of CPU chips of the three elements. The benchmark value of a similar specification server having hardware specification data not to be acquired is also configured to be acquired from the benchmark database.
The theoretical price calculation processing means is:
The benchmark value acquired by the benchmark value acquisition processing means is such that the hardware specification data of the purchase target server received by the purchase target specification input reception processing means does not match the number of CPU chips among the three elements. In the case of the benchmark value of the similar specification server having the wear specification data, the benchmark value acquired by the benchmark value acquisition processing means includes the purchase target server's CPU number of CPUs of the similar specification server. The CPU corrects the benchmark value by multiplying by the number of chips of the CPU, and executes the correction process when the number of chips does not match by calculating the theoretical price by substituting the corrected benchmark value into the theoretical price calculation formula. It is set as the structure which is characterized by the above-mentioned. The server purchase management system according to any one of the above. The benchmark value acquisition processing means includes:
In addition to acquiring the benchmark value of the server of the same specification, the hardware specification data of the purchase target server received by the purchase target specification input receiving processing means and the memory capacity of which the memory capacity of the three elements does not match The benchmark value of the similar specification server having the wear specification data is also obtained from the benchmark database,
The theoretical price calculation processing means is:
The hardware specification in which the benchmark value acquired by the benchmark value acquisition processing means does not match the hardware specification data of the purchase target server received by the purchase target specification input receiving processing means and the memory capacity of the three elements In the case of the benchmark value of the server having the similar specification having data, the purchase price is calculated by substituting the benchmark value acquired by the benchmark value acquisition processing unit into the theoretical price calculation formula. The memory capacity mismatch correction process for correcting the theoretical price is performed by adding or subtracting a price obtained by multiplying the difference between the memory capacity of the target server and the memory capacity of the server of similar specifications by the memory unit price. The server purchase according to any one of claims 1 to 6, Management system. The theoretical price calculation processing means is:
8. The server purchase management system according to claim 7, wherein an input of the memory unit price is received and the memory capacity mismatch correction process is executed using the received memory unit price. The theoretical price calculation processing means is:
When the theoretical price calculation formula is a linear formula, the performance unit price corresponding to the coefficient of the primary term of the theoretical price calculation formula or a change input of the constant term in addition to the performance unit price is received, and the performance that has been changed and input 9. The server according to claim 1, wherein recalculation processing for recalculating the theoretical price is performed using the theoretical price calculation formula based on a unit price or the constant term. 9. Purchasing management system. A server purchase management method executed by a server purchase management system configured by a computer that supports server purchase operations,
Hardware specification data including three elements of the CPU name, CPU chip number, and memory capacity constituting the server is associated with a benchmark value created for the purpose of comparing server performance and stored in the benchmark database. ,
The purchase target specification input reception processing means executes a process of receiving input of hardware specification data including three elements of the CPU name of the purchase target server, the number of chips of the CPU, and the memory capacity,
The benchmark value acquisition processing means obtains the benchmark value of the server of the same specification having the hardware specification data that matches the three elements with the hardware specification data of the purchase target server received by the purchase target specification input reception processing means. , Execute processing to obtain from the benchmark database,
The theoretical price calculation processing means adds the benchmark value acquisition process to the theoretical price calculation formula of the server obtained by analyzing the correlation between the benchmark value and the actual purchase price for a plurality of servers purchased in the past. By substituting the benchmark value acquired by the means, a process of calculating a theoretical price of a server having the same specification as the purchase target server is executed,
A purchase management method for a server, wherein the theoretical price presentation processing means executes a process of displaying or printing the theoretical price calculated by the theoretical price calculation processing means.   A program for causing a computer to function as the server purchase management system according to claim 1.

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