JP2003141395A - Method for negotiating product transaction cost, method for presenting product estimation cost and product transaction cost calculation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a transaction cost negotiating method and an estimation cost presenting method capable of taking a proper cost for efficiency decrease into consideration of a transaction cost by providing a method for quantitatively estimating in advance the generation rate of defectives within a manufacturing process resulting from product specifications and using the generation rate. SOLUTION: A manufacturing cost estimation calculation program evaluates the generation rate of defectives within the manufacturing process on the basis of product specification information and manufacturing condition information and can perform manufacturing cost estimation that takes into consideration an increase in costs due to defective occurrence on the basis of the generation rate, so that the manufacturing cost estimation calculation program can be used in estimating a cost and negotiating the cost. Since manufacturing cost estimation that takes into consideration a lost cost due to defective occurrence within the manufacturing process resulting from the product specifications can be quickly conducted on the basis of a physical reason and a quantitative reason by using the program, the program can be used as an estimation tool and a cost reduction estimation and cost decision support tool as cost negotiation between an ordering side and an order receiving side so that cost negotiation and decision can be appropriately, reasonably and efficiently carried out.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for negotiating a transaction price of a product when entrusting the manufacture of a product, a method for presenting an estimated price of a product, and a program for calculating a transaction price of a product.

[0002]

2. Description of the Related Art In the conventional transaction price negotiation method, the order receiving side company (external company) estimates the required manufacturing time from the ordering side company based on the specifications of the products to which the ordering side company is outsourced, and the estimated manufacturing time required. It was decided by negotiation with the ordering company based on the manufacturing cost calculated by multiplying the manufacturing line wage rate.

[0003] Conventionally, the ordering company quantitatively evaluates the in-process defect occurrence rate of a product outsourced by the ordering company, even if it can qualitatively evaluate it from the product specifications of the ordering company. As a result, in-process defects caused by the product specifications from the ordering company, in other words, in-process defects caused by the low level of productivity design caused by the above product specifications It was difficult to reflect the loss cost due to the occurrence and the cost increase due to the efficiency decrease in the price.

However, a method and apparatus for evaluating the susceptibility to the occurrence of defects in manufacturing workplaces, and a method and apparatus for evaluating product quality have been known in Japanese Patent Laid-Open No. 2001-100838.

[0005]

As described above, conventionally, the ordering company quantitatively evaluates the occurrence rate of defects in the manufacturing process for the products outsourced by the ordering company in advance. However, there is a problem that it is difficult to reflect the occurrence of defects due to the product specifications from the ordering company and the decrease in manufacturing efficiency in the price.

In order to solve the above problems, an object of the present invention is that an ordering side company (outside company) has an in-process defect due to a product specification from the ordering side company regarding a product that is outsourced by the ordering side company. An object of the present invention is to provide a defect occurrence rate quantitative evaluation method capable of quantitatively evaluating the occurrence degree (in-process defect occurrence rate) in advance.

Another object of the present invention is to provide a method for determining a transaction price, which makes it possible to add a proper cost for efficiency reduction to the transaction price by using the defect occurrence quantitative evaluation method. Especially.

[0008]

In order to achieve the above object, according to the present invention, when a computer of an ordering company makes an order for manufacturing a product via a network to a computer of the ordering company, the ordering side is provided. A method of negotiating a transaction price of a product between a computer of a company and a computer of the ordering company, wherein the computer of the ordering company sets the product specifications outsourced to the network. A computer of the order-accepting company, and a computer of the order-accepting company,
Based on the product specifications presented by the computer of the ordering company, a plurality of manufacturing processes for manufacturing the product and manufacturing conditions for each of the plurality of manufacturing processes are determined and presented to the transaction price calculator of the product. The presenting process, the product transaction price calculator calculates the product specifications presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing for each of the plurality of manufacturing processes. A product in which the defect occurrence frequency or defect coefficient for each of the plurality of manufacturing processes in the order receiving side company due to the product specifications is estimated from the condition and the defect occurrence frequency or defect coefficient for each of the plurality of estimated manufacturing processes is added. The transaction price calculation process of the product for calculating the transaction price of the product according to the manufacturing time, and the transaction price calculation unit of the product are at least the product And having a transaction prices presented the course of the product to be presented to the transaction price for the transaction price of products that are calculated in the calculation process of the orders side companies via the Internet computer and the order-side corporate computer.

In the electronic commerce market in which the computer of the ordering company outsources the manufacturing of a product to the computer of the ordering company via a network, the present invention also provides a computer of the ordering company and the ordering company. A method of negotiating a transaction price of a product with a computer, wherein the computer of the ordering company gives a product specification to be outsourced to the computer of the ordering company via the network. The product specification presentation process presented to the transaction price calculation unit of the product, and a plurality of manufacturing steps in which the computer of the order-receiving company manufactures the product based on the product specifications presented by the computer of the ordering company, and the plurality of manufacturing processes. Manufacturing condition presentation for determining the manufacturing condition for each manufacturing process and presenting it to the transaction price calculation unit of the product And a transaction price calculation unit for the product, the product specification presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and manufacturing conditions for each of the plurality of manufacturing processes. From the product specification, the defect occurrence frequency or defect coefficient for each of the plurality of manufacturing processes in the order receiving side company is estimated, and as a product in which the estimated defect occurrence frequency or defect coefficient for each of the plurality of manufacturing processes is added. The product transaction price calculation process of calculating the product transaction price according to the manufacturing time of the product, and the product transaction price calculation unit at least regarding the product transaction price calculated in the product transaction price calculation process on the Internet. The transaction price presentation process of the product presented to the computer of the ordering company and the computer of the ordering company via Characterized in that it.

Further, according to the present invention, in the manufacturing condition presenting process in the transaction price negotiation method for the product, the manufacturing condition for each manufacturing process to be decided and presented is based on the manufacturing structure condition and the manufacturing workplace condition for each manufacturing process. It is characterized by being configured. In the present invention, in the process of presenting the transaction price of the product in the transaction price negotiation method for the product,
Before presenting the transaction price of the product to the computer of the ordering company, approval is obtained on the computer of the ordering company.

Further, according to the present invention, in the process of presenting the transaction price of the product in the method of negotiating the transaction price of the product, further, regarding the defect occurrence frequency or the defect coefficient for each manufacturing process estimated in the process of calculating the transaction price of the product. It is characterized in that it is presented to the computer of the ordering company. Further, the present invention, in the transaction price calculation process of the product in the transaction price negotiation method of the product, converts the estimated defect occurrence frequency or defect coefficient for each manufacturing process into manufacturing time variation for each manufacturing process, It is characterized in that the manufacturing time as the above-described product is obtained by totalizing or total averaging the converted manufacturing time variations for each manufacturing process over a plurality of manufacturing processes.

Further, in the present invention, in the transaction price calculation process of the product in the transaction price negotiation method for the product, the estimated defect occurrence frequency or defect coefficient for each manufacturing process is summed over a plurality of manufacturing processes or It is characterized in that the manufacturing time as a product taking into account the above is obtained by converting the defective occurrence frequency or defective coefficient as a product obtained by summing and averaging into the manufacturing time variation.

In the present invention, in the process of presenting the transaction price of the product in the method of negotiating the transaction price of the product, further, the defect occurrence frequency or the defect coefficient for each manufacturing process estimated in the process of calculating the transaction price of the product is calculated. The defect occurrence frequency or the defect coefficient is presented to the computer of the order-accepting company as a product obtained by totaling or sum-averaging over a plurality of manufacturing processes.

Further, according to the present invention, in the process of presenting the transaction price of the product in the transaction price negotiation method for the product, further, the defect occurrence frequency or the defect coefficient for each manufacturing process estimated in the process of calculating the transaction price of the product is calculated. It is characterized in that it is converted into manufacturing time variation for each manufacturing process and presented to the computer of the order receiving side company. Further, the present invention is
The transaction price calculation unit for the product in the transaction price negotiation method for the product is configured by a first computer connected to the network.

Further, according to the present invention, when the computer of the ordering company makes an order for manufacturing the product to the computer of the ordering company via the network, the estimated price of the product is ordered from the computer of the ordering company. A method for presenting an estimated price of a product to be presented to a computer of a side company, wherein the computer of the order side company produces a product specification outsourced to the computer of the ordering side company through the network and an estimated price calculation unit for the product. And a plurality of manufacturing steps in which the computer of the order-receiving company manufactures the product based on the product specifications presented by the computer of the ordering company, and the manufacturing of each of the plurality of manufacturing steps. Manufacturing condition presentation process of determining conditions and presenting them to the estimated price calculation unit of the product, and calculating the estimated price of the product From the product specifications presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes, the ordering side resulting from the product specifications. Estimated defect occurrence frequency or defect coefficient for each of the plurality of manufacturing processes in a company, and an estimated price of the product according to the manufacturing time as a product in which the estimated defect occurrence frequency or defect coefficient for each of the plurality of manufacturing processes is added The process of calculating the estimated price of the product for calculating
At least, the process of presenting an estimated price of a product, which presents the estimated price of the product calculated in the process of calculating the estimated price of the product, to the computer of the order receiving company.

Further, according to the present invention, when the computer of the ordering company makes a consignment order for manufacturing a product to the computer of the ordering company via a network, the computer of the ordering company and the computer of the ordering company are provided. A method of negotiating a transaction price of a product for negotiating a transaction price of the product between, wherein the computer of the ordering company:
Product specification presentation process of presenting the product specifications to be outsourced to the computer of the ordering company and the product transaction price calculation unit via the network, and the computer of the ordering company from the computer of the ordering company A manufacturing condition presenting process of determining a plurality of manufacturing processes for manufacturing the product based on the specified product specifications and manufacturing conditions for each of the plurality of manufacturing processes and presenting the manufacturing condition to the transaction price calculation unit of the product; The price calculation unit derives the product specifications from the product specifications presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes. The defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes in the order receiving side company is estimated, and each of the estimated plurality of manufacturing processes is estimated. The manufacturing cost evaluation process that evaluates the manufacturing cost of each manufacturing process using the manufacturing cost evaluation program based on the good occurrence frequency or the poor coefficient and the transaction price calculation unit of the product are evaluated at least in the manufacturing cost evaluation process. A manufacturing cost presentation process for presenting the manufacturing cost for each manufacturing process to the computer of the ordering company and the computer of the ordering company via the Internet so that a manufacturing process with a possibility of cost reduction can be extracted. It is characterized by having.

Further, the present invention is a program for causing a computer of an ordering company to calculate a transaction price of a product when the computer outsources an order for manufacturing a product to a computer of the ordering company via a network, From the product specification presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes, in the ordering company resulting from the product specification An estimation process for estimating a failure occurrence frequency or a failure coefficient for each of a plurality of manufacturing processes, and a product according to a manufacturing time as a product in which the defect occurrence frequency or the failure coefficient for each of the plurality of manufacturing processes estimated in the estimation process is added The calculation process of calculating the transaction price of the product and the transaction price of the product calculated in the calculation process. A product of transaction price calculation program and executes a presentation step of presenting to the order side corporate computer and the ordering side corporate computer through.

Further, the present invention provides an evaluation calculation program for quantitatively evaluating the defect occurrence rate in the manufacturing process from the product specification information from the ordering company and the manufacturing workplace conditions in the manufacturing factory of the ordering company (external company). By using this, it is possible to estimate the in-process defect occurrence rate (in-process defect occurrence rate) of the order receiving company.

In order to clarify the degree of occurrence of defects in the manufacturing process due to the product specifications from the ordering company, the evaluation calculation program and the defect occurrence potential of the product specifications and the ordering company (external company) It is possible to separately evaluate the defect occurrence potential of the manufacturing workplace of the manufacturing factory, and the final defect occurrence rate in the manufacturing process (defect occurrence ratio in the manufacturing process) as a product can be estimated from the evaluation results of both. I did it.

That is, the evaluation calculation program was prepared by formulating and incorporating the physical mechanism of failure occurrence.
That is, the degree of occurrence of defects at the time of manufacturing a product depends on the manufacturing structure conditions of the product and the working conditions at the manufacturing workplace which is the order-receiving company that manufactures the product. Especially, based on information about factors that affect the probability that humans cannot reliably perform manufacturing work operations such as assembly or processing (hereinafter referred to as uncertainty), estimate the defective rate due to assembly or processing. It was decided to calculate. Factors that influence the probability that a human cannot reliably perform a manufacturing work operation include two types of factors, which are the difficulty of the manufacturing work of the product structure and the work environment.
Therefore, first of all, how much the defective rate of the product increases depending on the structural condition of the evaluation target product is based on the information on the operation content of the manufacturing work regarding the product structure and the information on the property of the manufacturing target part. Secondly, to what extent the manufacturing defect rate increases depending on the workplace environmental conditions of the workplace that manufactures the above product, and what level the workplace has regarding one or more workplace environmental items that cause defects. It was decided to estimate based on the information indicating whether or not it is in the state, and further to estimate the defective rate when the product was manufactured in the manufacturing workplace based on the above first and second estimation results. According to the structural condition of the evaluation target product, a method of estimating how much the manufacturing defect rate will increase is specifically, information on the operation content of the manufacturing work,
It was decided to calculate the estimated value of the product defect rate based on the information on the properties of the parts.

Specifically, in the case of assembly work, the degree of occurrence of work defects in the manufacturing process is evaluated by a method of evaluating what part, what part (attached part), and what operation is to be installed. I took it. That is, it is possible to evaluate what kind of work defect occurs and how often, from the combination of the characteristics (characteristics) of the assembled parts and the assembling operation. In this way, it is possible to evaluate the degree of occurrence of in-process defects, which is included in the product specifications, from the component property information of the components that make up the product and the assembly operation information. Further, even if the same work is performed, the final defective rate will be different if the work place is different. This is because the working capacity levels of manufacturing workplaces are different. Therefore, the defect rate evaluation calculation program used in the present invention can be evaluated by separately adding the work ability level of the manufacturing workplace from the workplace condition information of the manufacturing factory that manufactures the product.

Further, according to the present invention, as described above, by using the evaluation calculation program by the order receiving side company, how many defects can occur when the target product is manufactured under the working conditions of the order receiving side manufacturing factory. The manufacturing price can be estimated, and the manufacturing price can be estimated in consideration of the data of the estimated in-process defect occurrence degree. That is, based on the estimated in-process defect occurrence data, loss time, man-hours, and component cost due to defect occurrence can be estimated based on physical and quantitative grounds, and a certain amount of product is produced. The total cost required for this can be estimated and the loss cost due to occurrence of defects can be reflected in the product unit price.

Further, according to the present invention, the ordering company can also evaluate the defect rate reduction effect by the structural improvement by using the evaluation calculation program in the same manner, and can negotiate the transaction price reduction based on the physical basis and the quantitative basis. It will be possible. Further, the present invention is
The ordering company can also evaluate the defect rate reduction effect of the manufacturing condition improvement plan, and when proposing the manufacturing condition improvement plan to realize the price requested by the customer (ordering side), the effect of the investment on the improvement plan is physically Students will be able to explain based on quantitative and quantitative evidence.

As described above, according to the present invention, it is possible to quantitatively evaluate the occurrence rate of in-process defects due to the product specifications specified by the ordering company in advance, and the loss time,
It is possible to estimate man-hours and parts costs and reflect them in the product transaction price, which has the effect of setting appropriate prices. Further, as described above, by using the evaluation calculation program of the present invention, it is possible to estimate the defect rate and the price with the product specifications specified by the ordering company and the manufacturing conditions of the ordering company as parameters. Price negotiations and decisions between the companies receiving orders can be made reasonably and efficiently.

[0025]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of a defect occurrence quantitative evaluation method and a transaction price determination method according to the present invention will be described in detail with reference to the drawings. The transaction price determination method according to the present invention, the ordering company designs the product, and based on this product design, the ordering company determines the transaction price of the product when entrusting the manufacturing of the product to the ordering company (external company). In this method, the ordering company and the ordering company exchange information necessary for price determination using a network to perform price determination negotiation.

FIG. 1 shows an outline of a mode for realizing the transaction price determination method according to the present invention. The system of the present invention includes a system (computer) 11 of an ordering company that outsources the manufacture of the product to the ordering company based on the product design, and a system (computer) 12 of the ordering company that is outsourced to manufacture the product. , ASP (Application Service Provider) (first computer) operated by a third party that provides the manufacturing cost calculation program and its usage rights
13 and the Internet (network) 15 to which they are connected. The system 11 of the ordering company and the system 12 of the ordering company are Web-based.
A system such as a PC (personal computer) having a browser program and a meeting (so-called net meeting) program for the ordering side and the ordering side via the Internet may be used. Further, it is obvious that the ASP (first computer) 13 may be provided in the system (computer) 11 of the order-receiving company.

Next, the system configuration of the manufacturing cost calculation system (first computer) 11 of the ASP company that provides the manufacturing cost calculation program according to the present invention will be described with reference to FIG. Manufacturing cost calculation system 11
Is an input unit 1 including a keyboard, a mouse, a pen input tablet, an input device via a storage medium, etc., and an output unit including a display device such as a display monitor, an output device via a printing device, etc. 2, a calculation unit 3 that executes manufacturing cost calculation and manufacturing defect rate estimation calculation, a first storage unit 4a that stores a defect rate calculation program, and a database of evaluation calculation coefficient / constant data used in the defect rate calculation program. A second storage unit 4b that stores the DB 4b, a third storage unit 4c that stores a manufacturing cost calculation program required to perform the manufacturing cost estimation calculation, and a manufacturing cost calculation coefficient or constant required for the manufacturing cost estimation calculation. A storage device 4 including a fourth storage unit 4d that stores a database DB4d for data and the like, a network such as the Internet with another system, and the like. The communication unit 5 for input and output of information through
Composed of and. The calculation unit 3 includes a CPU 32, a ROM 31 that stores a predetermined program, a RAM 33 that temporarily stores various data, and an input / output interface unit 3
4 and the bus line 35.

Next, the procedure and contents for determining the transaction price of the product according to the present invention will be described with reference to the flow chart shown in FIG. First, it is assumed that the ordering company performs basic setting of the product. Therefore, the system (computer) 12 of the ordering company provides the system (computer) 12 of the ordering company with not only the product specifications but also information about the product specifications such as materials, component parts drawings, assembly drawings, and processing methods. Will be done. The order receiving side company (outside company) basically receives the contract of manufacturing the above product from the ordering side company, manufactures the above product, and delivers the product.

(1) Product specification information 131a of the ordering company
(Step 100): System 13 of the ordering company
Transmits the product specification information 131a of the traded product, which is necessary for the price estimation of the traded product, to the system 12 of the ordering company through the network 15. In this step 100, the system 13 of the ordering company transmits the product specification information 131a to the system 1 of the ordering company in the form of the input information of the manufacturing cost calculation program used for estimating the manufacturing cost.
It is the step of transmitting to 2. This product specification information 131
The information a includes not only product specifications, but also product design specifications such as materials, component parts drawings, assembly drawings, and processing methods.

(2) Estimating the product price of the order receiving company (step 200): The system 12 of the order receiving company sets A
SP (Application Service Provider) 11
And the ASP 11 obtains the product specification information 131a of the traded product transmitted by the system 13 of the ordering company, the obtained information 131a, and a manufacturing workplace (manufacturing site where manufacturing equipment for manufacturing the product is installed). A step of estimating the manufacturing price from the manufacturing condition information 121a in the factory) by the defect rate calculation program P4a and the manufacturing cost calculation program P4c.

This step 200 comprises the following steps. Step 210 is the system 13 of the ordering company.
This is a step of receiving the product specification information 131a of the traded product which is the input information 131 transmitted by. Step 220
Is an ASP 11 in which the system 12 of the order receiving company provides the manufacturing cost calculation program P4c on the Internet.
In the calculation unit 3 of the ASP 11, the defect rate calculation program P4a stored in the first storage unit 4a and the manufacturing cost calculation program P4c stored in the third storage unit 4c are activated.

Step 230 is the calculation unit 3 of the ASP 11.
In the above, the product specification information 131a received from the system 13 of the ordering company and the system 1 of the ordering company.
2 from the manufacturing condition information 121a as the input information 121 input from the second storage unit 4 for each manufacturing process.
The manufacturing defect rate is estimated by the defect rate calculation program P4a stored in the first storage unit 4a using the database DB4b of the defect rate calculation coefficient / constant data stored in b, and stored in the fourth storage unit. Manufacturing cost calculation coefficient
Manufacturing cost calculation program P4c stored in the third storage unit 4c using the database DB4d of constant data
Is the step of estimating the manufacturing time by. First, the defect rate calculation program P4a estimates the manufacturing defect occurrence rate for each manufacturing process, and the manufacturing cost calculation program P4c determines an ideal manufacturing time (standard manufacturing time) for each manufacturing process. A feature of the estimated manufacturing time estimation method is that the variation in the manufacturing time is also estimated from the frequency of re-manufacturing, which is estimated by using the estimated defective manufacturing rate. Therefore, in the manufacturing time estimation method using the manufacturing cost calculation program, the manufacturing time for each manufacturing process from the product specification information 131a is calculated as the ideal manufacturing time (standard manufacturing time) and the manufacturing time corresponding to the manufacturing defect occurrence rate. It is possible to make an estimation including the variation of the above, and it is possible to perform a highly accurate simulation of the manufacturing time for each manufacturing process.

That is, by using the above manufacturing time estimation method, the number of man-hours based on the ideal manufacturing time (standard manufacturing time), the standard manufacturing cost such as parts cost, and the manufacturing defect occurrence rate are obtained for each manufacturing process. It is possible to evaluate lost time, man-hours, increase in manufacturing cost such as parts cost, and so on. In this way, the calculation unit 3 of the ASP 11 estimates and calculates the total cost required to produce a certain amount of outsourced products in the order receiving company, and the estimated product price that reflects the loss cost due to defect occurrence. Can be calculated. The content of the manufacturing time estimation technique will be described later.

Step 240 is the calculation unit 3 of the ASP 11.
Calculates the manufacturing cost from the estimated manufacturing time of the traded product estimated in the above step 230 using the manufacturing cost calculation coefficient / constant data DB4d by the manufacturing cost calculation program P4c, and adds other costs to the product. Estimate the price and at least the system 12 of the ordering company
It is the step of sending to and providing.

(3) Transmission (submission) of the estimation result to the ordering company (step 300): The network 12 of the ordering company sends the manufacturing price estimated in step 200 through the network 15 to the system 13 of the ordering company. Steps to send to.

(4) The ordering company evaluates the submitted quotation result (step 400): The ordering side company evaluates the quotation result of the ordering side company.

(5) Price negotiation (step 500): The ordering side company and the ordering side company have a meeting on the net and estimate result data (manufacturing cost, manufacturing time, in-process for each manufacturing process and the entire manufacturing process). The step of negotiating the transaction price while watching the evaluation result of the defective rate).

This step 500 comprises the following steps. In step 510 (preparation step), the system 12 of the ordering side company and the system 13 of the ordering side company each connect the above-mentioned defect rate calculation program P4a and manufacturing cost calculation program P4c to the ASP 11 provided on the Internet, and the price is set. This is a step in which price negotiation is performed while commonly viewing the screens that open the evaluation result data of the product to be determined by the manufacturing cost calculation program. At this time, the system 12 of the ordering side company or the system 13 of the ordering side company activates the manufacturing cost calculation program P4c and the like, and displays the result of evaluation and execution with the input information of the target product. The operation of the manufacturing cost calculation program P4c and the like is performed by the company that started the manufacturing cost calculation program P4c and the like. In this case, the reflection of the product specification improvement contents and the manufacturing condition improvement contents planned as a result of the meeting on the net to the input data, that is, the input data change and the calculation execution operation are performed by the company that started the manufacturing cost calculation program P4c or the like. Will be done. Alternatively, by using the manufacturing cost calculation program P4c or the like that can be operated from two locations, both the ordering company and the ordering company can operate the manufacturing cost calculation program P4c and the like. Although the transaction price determination method according to the present invention can be performed by either method,
If both the ordering company and the ordering company, which are the latter, can operate the manufacturing cost calculation program P4c and the like, smoother exchange can be performed.

Step 520 (step of extracting a cost reduction examination portion) is a step of extracting the manufacturing process for which the estimated price is being raised. In this step, the system 13 of the ordering company and the system 12 of the ordering company perform a manufacturing process in which the estimated price is raised on the screen of the display device, or a manufacturing process with a high estimated defect rate. Point out each other and identify the target for improvement. Of course, at this time, as shown in FIG. 13, the ideal manufacturing time, the manufacturing time variation, the manufacturing defect coefficient and the like can be displayed on the screen of the display device in the assembling order, that is, in the manufacturing process order, as shown in FIG. As described above, the ideal manufacturing time, the manufacturing time variation, the manufacturing failure coefficient, and the like can be displayed on the screen of the display device in the order of high failure coefficient for each manufacturing process. As shown in FIG. The ideal manufacturing time, the manufacturing time variation, the manufacturing defect coefficient, and the like can be displayed on the screen of the display device, and as shown in FIG. 16, the manufacturing time variation is graphically displayed on the screen of the display device for each manufacturing process. Therefore, the system 13 of the ordering company and the system 12 of the ordering company increase the estimated price on the screen of the display device. Process it is possible to each other to point out.

In step 530 (cost reduction plan examination step), regarding the manufacturing process that needs to be examined for cost reduction extracted in the above step 520, the ordering company determines whether there is a possibility of cost improvement due to a change in design specifications or manufacturing conditions. This is a step in which the system 13 and the system 12 of the order receiving company discuss on the network. Regarding the manufacturing process that requires consideration of cost reduction, the system 13 of the ordering company proposes a possible design specification improvement network 15
To the system 12 of the order receiving side company. At this time, the system 12 of the ordering company asks the system 13 of the ordering company via the network 15 whether the improvement proposal of the ordering company can be accepted under the current manufacturing conditions.
Reply to. Then, the system 12 of the ordering company displays the cost reduction effect obtained by changing and inputting the design specification information into the manufacturing cost calculation program on the spot for the design specification improvement plan accepted under the current manufacturing conditions. It is displayed on the device and the adoption or non-adoption is considered based on the displayed cost reduction effect. It should be noted that the design specification improvement proposal may be submitted from the system 12 of the order-receiving company.

On the other hand, regarding the manufacturing conditions at the order receiving side company,
A discussion will be made on the network 15 regarding how low-cost manufacturing conditions are possible as alternatives within a permissible range for manufacturing processes that result in excessive quality. For example, if there is a plan to change the manufacturing conditions, such as a change in the equipment used, the system 12 of the order receiving company can immediately change
The cost reduction effect obtained by changing and inputting the manufacturing condition information to the manufacturing cost calculation program for the SP 11 is displayed on the display device, and whether or not to accept is considered based on the displayed cost reduction effect. As mentioned above, cost reduction plans are discussed and discussed by both parties, and feasible plans are narrowed down.

In step 540 (step of calculating the effect of the cost reduction plan), the system 12 of the ordering company and the system 13 of the ordering company respectively perform the above step 53.
With regard to the cost reduction plan narrowed down to 0, the change contents of the product design specification information or the manufacturing condition information is input to the manufacturing cost calculation program to the ASP 11, the cost evaluation calculation is executed, and the evaluation result is displayed on the display device for browsing. This is the step to consider. Specifically, the system 1 of the ordering company
2, and the system 13 of the order receiving company examines the manufacturing cost reduction effect. In step 550 (determination step of product design specifications and manufacturing conditions), in step 540, each cost reduction plan is examined, and a change plan of product design specifications and manufacturing conditions to be adopted is also agreed with the ordering company and the ordering company. This is the step to decide with.

As described above, at the time of negotiation, the system 13 of the ordering company and the system 12 of the ordering company are operated by the third party institution APS11 that provides the manufacturing cost calculation program P4c and the defect rate calculation program P4a. It is desirable to connect to a website so that the manufacturing cost reduction effect of the product specification improvement plan or the manufacturing condition improvement plan that came out at the time of negotiation can be output and displayed on a display device or the like so that it can be immediately confirmed. That is, the system 13 of the ordering company and the system 12 of the ordering company can respectively input the change contents of the product design specification information and the change contents of the manufacturing condition information, and from this information, calculate the defect rate. It is desirable that both the estimated defect rate data, the manufacturing time data, and the manufacturing cost data calculated by the program P4a and the manufacturing cost calculation program P4c can be shared (seen) by both parties.

(6) Product price determination step (step 6
00): A step of determining a price on the Internet based on the result of the negotiation in step 500. Step 600 is
System 13 of the ordering company and system 12 of the ordering company
Between, and by displaying output on a display device, etc.,
Internet 15 based on the negotiation result in step 500
These are the steps to determine the price above. The system 13 of the ordering company and the system 12 of the ordering company are Web browser programs, and the Internet 1 by the ordering side and the ordering side.
A system such as a PC (personal computer) equipped with a meeting (so-called net meeting) program through 5 may be used. Naturally, the system 13 of the ordering company and the system 12 of the ordering company are
Similar to P11, it is provided with an output device such as an input device and a display device.

Next, a defect rate estimation method, a manufacturing time estimation method, and a manufacturing cost estimation method relating to the defect occurrence quantitative evaluation method and the transaction price determination method according to the present invention will be described. First, the relationship between the manufacturing defect occurrence rate and the manufacturing time variation in the manufacturing factory of the order-accepting company will be described with reference to FIGS.

By the way, the actual product is not manufactured only by assembling, but it is a material that is usually purchased, a purchased product, and a manufacturing process (processing (including all processing such as thin film processing, fine processing and machining)). Process, assembling process, adjusting process, inspection process, etc.). The processing process and the adjusting process in the manufacturing process can be calculated in the same manner as the assembling process to calculate the relationship between the manufacturing defect occurrence rate and the manufacturing time variation in the manufacturing factory of the order receiving company. Since the material and the purchased product are inspected at the time of purchase, if the manufacturing defect of the product can be ignored,
You can ignore it. However, if it cannot be ignored, the relationship between the defect occurrence rate at the time of purchase and the variation in the manufacturing time based on it may be calculated as in the assembly process.

For simplification of description, the case of the assembly process will be described. Variation in time required for assembly Tsi
4, as shown in FIG. 4, the time Ti required for assembling the product or the part and the frequency R of defective assembly work of the product or the part
i is obtained by combining the others.

An embodiment of a composite method of the time Ti required for assembly and the frequency Ri of occurrence of defective assembly work will be described with reference to FIG. The numerical value Ri, which is the frequency of occurrence of work defects in a certain assembly work, is converted into an assembly time variation correction coefficient Tcsi by a predetermined coefficient (referred to as an assembly time variation conversion coefficient) Ttr, and the time Ti required for the above assembly is calculated as described above. By correcting with the assembly time variation correction coefficient Tcsi, the assembly time variation Tsi can be obtained. Here, as the assembly time variation conversion coefficient Tcsi, a constant value may be used for all work failure occurrence frequencies Ri, or a different value may be set depending on the assembly operation, the part property, and the like.

Next, an embodiment of a method of estimating the time Ti required for assembling a product or parts will be described with reference to FIG. An operation type (the above standard assembly operation) necessary for expressing the operation content of the parts assembly operation is defined in advance, and a predetermined “certain operator condition, certain part condition, Assembling time factor for each standard assembly operation that sets the numerical value of the time required to perform the standard assembly operation when the standard assembly operation is performed under "a certain work workplace condition" (referred to as a reference condition). Determine Toi. Next, the standard assembly operation-specific assembly time coefficient Toi is corrected by the first assembly time correction coefficient Tc1i that corrects the standard assembly-operation-specific assembly time coefficient according to the nature of the assembly component that performs the assembly operation. The standard assembly operation-specific assembly time coefficient Toi is corrected by a second assembly time correction coefficient Tc2i that corrects the standard assembly operation-specific assembly time coefficient depending on the nature of the assembly target component that performs the assembly operation. Then, by combining the time Tsi required for the standard operation of the workplace for assembling the product or part with the corrected standard assembly operation-specific assembly time coefficient (Toi × Tc1i × Tc2i), the time required for assembling the product or part This is a method of estimating Ti. As described above, there is JP-A-04-069703 as a known method for estimating the assembling time by expressing the assembling work by the standard assembling operation, and that method may be used.

Next, an embodiment of a method for estimating the frequency of occurrence of defective assembly work of products or parts will be described with reference to FIG. An operation type (standard assembly operation) necessary for expressing the operation content of the parts assembly operation is defined in advance, and a predetermined “certain worker condition, certain part condition, Under a certain working workplace condition (referred to as a reference condition), when performing the standard assembly operation described above, the standard assembly sets a numerical value indicating the probability that the standard assembly operation cannot be performed reliably. The assembly failure coefficient Roi for each operation is determined.
Next, depending on the nature of the assembly component that performs the assembly operation, the standard assembly operation-dependent assembly failure coefficient Ro is corrected by the first assembly failure correction coefficient Rc1i that corrects the standard assembly-operation-specific assembly failure coefficient.
The standard assembly operation-dependent assembly failure coefficient Roi is corrected by a second assembly failure correction coefficient Rc2i, which corrects the standard assembly operation-specific assembly failure coefficient according to the property of the assembled component that corrects i and performs the assembly operation. to correct. Then, the occurrence frequency Rsi of the standard operation work failure in the workplace where the product or the part is assembled and the corrected assembly failure coefficient for each standard assembly operation (Roi × R)
c1i × Rc2i) is combined to estimate the occurrence frequency Ri of defective assembly work of products or parts. As described above, Japanese Patent Laid-Open No. 10-334151 discloses a known method for estimating the frequency of occurrence of defective assembly work by expressing the assembly work as a standard assembly operation, and that method may be used.

Next, one implementation of the system configuration in the ASP 11 that realizes the defect rate estimation method, the manufacturing time estimation method, and the manufacturing cost estimation method related to the defect occurrence quantitative evaluation method and the transaction price determination method according to the present invention described above. An example will be described with reference to FIG. This system in the ASP 11 will be described by taking the case of assembly as an example. ASP11
In this system, the assembly time estimation system 10a in consideration of variations in assembly time and the system 1 of the ordering company
Database 20a storing the product specification information provided from the third party via the network 15 and the parts 20 stored in the system 12 of the order receiving company based on the product specification information and input and stored via the network 15. Information such as parts name, part number, material, weight, number, unit price, etc., which make up the product, and the assembling of parts mainly provided and stored from the system 12 of the order receiving company via the network 15. Operation information [type of operation (downward movement, lateral movement, upward movement, press fit (C), holding (F), joining process (soldering, welding, etc.), screw tightening, etc.) and order of operations (sequence)], Part property information [property information of assembled and assembled parts (for example, function (part type such as design), size, weight, shape] With attitude, combined multi-point simultaneous position,
The property information of the parts to be assembled includes fine holes / small holes, the number of alignment points, the space around the assembly part, the assembly to the movable part, etc.),
Dimensional accuracy, surface accuracy, material (surfaces that cannot be contacted, special material, functionality), etc.], and assembling work condition information at the company that received the order [Working condition for assembling workers (attending rate of assembling workers, The nature and ability of the assembler, the skill of the assembler, the work instruction system for the assembler, the work conditions related to the assembly equipment (the performance and reliability of the equipment, the management system including maintenance of the equipment, the equipment (Degree of determination by the person in charge), workplace conditions related to assembly conditions (production line speed, production lot number / unit time, etc.), work conditions related to the physical environment of assembly (temperature, humidity, brightness, noise, and other physical conditions) Environment), and workplace conditions related to management of the assembly workplace (education / training for workers, work instructions / distribution to workers, coping methods when defects occur, work check methods, etc.)] Composed of the database 20b of matter information (manufacturing conditions information).

In short, the ability of the assembly workplace is [the degree of defect creation that is the ability to suppress defects] x [the degree of failure handling time that is the ability to deal with defects] x for the standard manufacturing work.
It becomes possible to evaluate by calculating [a defect extraction degree which is a defect detection power].

The assembly time estimation system 10a in consideration of time variations includes a keyboard, a mouse, a pen input tablet, an input unit 1 including an input device via a storage medium, a display device such as a display monitor, and a printing device. An output unit 2 including an output device and the like, a calculation unit 3 that executes the assembly time variation calculation process of the present invention, the assembly time calculation process, and the assembly failure coefficient calculation process. Predetermined coefficient (Assembly time coefficient for each standard operation 4
1, a first assembly time correction coefficient 42 for each assembly part property, a second assembly time correction coefficient 43 for each assembly part property, a standard operation-specific assembly failure coefficient 44, and a first assembly part property-specific The storage unit 4 stores an assembly failure correction coefficient 45, a second assembly failure correction coefficient 46 for each property of the parts to be assembled, an assembly time variation conversion coefficient 47, and a calculation program 48). The calculation unit 3 includes a CPU 32, a ROM 31 that stores a predetermined program, and a RAM 3 that temporarily stores various data.
3, an input / output interface unit 34, a bus line 35, and the like.

Next, an embodiment of the processing flow of the assembly time estimating system in consideration of the time variation in the ASP 11 according to the present invention will be described with reference to FIG. The process flow is roughly divided into three flows, an operation and part property analysis flow 200, a flow 300 for taking in operation and part properties from the assembly condition information database 20b, an assembly time calculation flow 400 in consideration of time variations, and RA.
And a flow 500 for outputting the result to the storage unit 4 or the like. Operation and parts property analysis flow 20
For 0, and the operation and component property fetching flow 300, a known method detailed in Japanese Patent Laid-Open No. 10-334151 is used.

FIG. 10 shows a detailed embodiment of the assembling time calculation flow 400 considering the time variation in FIG. First, an assembly time calculation flow 410 executed by the calculation unit 3 for each assembly process will be described. In step 411, the assembly time coefficient Toi of the operation is selected from the assembly time coefficients 41 for each standard operation stored in the storage unit 4b using the operation type information fetched from the database 20b of the assembly condition information in the flow 300. apply. Next, at step 412, the first assembly time correction coefficient for each assembly component property stored in the storage unit 4b is used by using the property information of the assembly component fetched from the database 20b of the assembly condition information in the flow 300. The first assembling time correction coefficient Tc1i of the assembly part is assigned from 42. In step 413, by using the property information of the assembly target component acquired in the flow 300, the assembly target component is stored from the second assembly time correction coefficient 43 for each property of the assembly target component stored in the storage unit 4b. The second assembly time correction coefficient Tc2i of the part is assigned. In step 414, the assembly time coefficient Toi obtained in step 411 is corrected by the first assembly time correction coefficient Tc1i and the second assembly time correction coefficient Tc2i obtained in steps 412 and 413, and the assembly time Ti of each operation is calculated. It is calculated and stored in, for example, the storage unit 4e.

Next, the assembly failure coefficient calculation flow 420 will be described. In step 421, the assembly failure coefficient Roi of the operation is assigned from the standard operation-specific assembly failure coefficient 44 stored in the storage unit 4b using the operation type information fetched in the flow 300. Next, in step 422, using the property information of the assembly parts acquired in the flow 300, the assembly parts are stored from the first assembly failure correction coefficient 45 for each assembly part property stored in the storage unit 4b. The first assembly failure correction coefficient Rc1i of the part is assigned. In step 423, the second assembly defect correction coefficient 4 for each property of the assembled parts stored in the storage unit 4b is used by using the property information of the assembled parts acquired in the flow 300.
Second correction factor Rc of the assembly failure of the assembly target component
Assign 2i. In Step 424, Step 42
The defective assembly coefficient Roi obtained in 1 is corrected by the first defective assembly correction coefficient Rc1i and the second defective assembly correction coefficient Rc2i obtained in steps 422 and 423, and the defective assembly coefficient Ri of the operation is calculated to calculate the RAM 33. Alternatively, it is stored in the storage unit 4e.

Next, the assembly time variation correction coefficient calculation flow 430 will be described. In step 431, the assembly failure coefficient Ri obtained in step 424 is converted by the assembly time variation conversion coefficient 47 stored in the storage unit 4b, and the assembly time variation correction coefficient Tcsi (= Ri × T
tri) is calculated and stored in the RAM 33 or the storage unit 4e. FIG. 10 shows a flow when the assembly time variation conversion coefficient 47 stored in the storage unit 4 has a constant numerical value for any operation, but the assembly time variation conversion coefficient 47 is not limited to a fixed value.

Next, the assembly time variation calculation flow 440
Will be described. In Step 441, Step 41
4, for example, the assembly time Ti of each operation stored in the storage unit 4e, and the assembly time variation correction coefficient Tcsi obtained in Step 431 and stored in the RAM 33 or the storage unit 4e.
And the assembly time variation Tsi of each operation is calculated and stored in, for example, the storage unit 4e.

Assembly time variation correction coefficient calculation flow 43
Another embodiment of No. 0 is shown in FIG. In step 432,
Using the type information of the operation captured in the flow 300, the assembly time variation conversion coefficient T of the operation is selected from the assembly time variation conversion coefficient 47 stored in the storage unit 4b.
attract tri. In this way, the assembly time variation conversion coefficient 47 may be set for each standard operation. Then, in step 433, the assembly time variation correction coefficient Tcsi (= Ri × Ttri) is calculated based on the assembly failure coefficient Ri obtained in step 424 and the assigned operation assembly time variation conversion coefficient Ttri to calculate the RAM3.
3 or the storage unit 4e.

Further, the calculation unit 3 sums, for example, the ideal assembly time Ti for each assembling operation stored in the storage unit 4e for each assembly component, as shown in FIGS.
The ideal assembly time 510 for each assembly component is calculated and stored in, for example, the storage unit 4e. Similarly, the calculation unit 3 includes a storage unit 4e.
By taking the square root of the sum of squares of the assembly time variation Tsi for each assembly operation stored for each assembly component, the assembly time variation 511 of each assembly component is calculated as shown in FIGS. 13 to 14. For example, it is stored in the storage unit 4e. Similarly, the calculating unit 3 sums the assembling failure coefficients Ri for each assembling operation stored in the storage unit 4e for each assembling component, for example, as shown in FIGS. The defective coefficient is calculated and stored in, for example, the storage unit 4e.

Therefore, the calculation unit 3 rearranges the stored ideal assembly time 510 for each assembly part, the assembly time variation 511 for each assembly part, and the assembly failure coefficient for each assembly part in the assembling order, thereby The data shown in FIG. 13 is obtained, and the ideal assembly time 510 for each assembly part, the assembly time variation 511 for each assembly part, and the assembly failure coefficient for each assembly part are rearranged in the order of high failure coefficient to obtain the data shown in FIG. The data shown in FIG. 15 are obtained by rearranging the obtained ideal assembly time 510 for each assembly component, the assembly time variation 511 for each assembly component, and the assembly failure coefficient for each assembly component in the order of variation.
Further, the calculation unit 3 calculates the variation 51 in the assembly time for each assembly part.
By converting 1 into a graph display, the data shown in FIG. 16 can be obtained.

Further, the calculation unit 3 calculates the ideal assembly time 506 of the entire product by summing the ideal assembly time of each of the assembled parts with respect to the entire product, and is stored in, for example, the storage unit 4e. Similarly, the calculation unit 3 calculates the assembly time variation 507 of the entire product by taking the square root of the sum of squares of the assembly time variation of each of the assembled products, and stores the variation in the assembly time of the entire product, for example, in the storage unit 4e. Similarly, the calculation unit 3 calculates the assembly failure coefficient 508 of the entire product by summing up the assembly failure coefficients of the assembled parts for the entire product, and stores the assembly failure coefficient 508 in the storage unit 4e, for example.

An example of outputting the result calculated and stored in the storage unit 4e by the calculation unit 3 to the display device 2, for example, will be described. FIG. 12 shows an example in which result output is performed for each operation as an example of the result output of the assembly time estimation system according to the present invention in which time variation is taken into consideration. Fifty
Reference numerals 1 and 502 are operation information and part property information acquired from the assembly condition information database 20b in the flow 300, 503 is an ideal assembly time Ti of each operation obtained in step 414, and 504 is an assembly time of each operation obtained in step 441. As for the variation Tsi, 505, the assembly failure coefficient Ri of each operation obtained in step 424 is output.
The feature is that 4 is output and displayed at the same time. In addition,
On the screen shown in FIG. 12, the ideal assembly time of the entire product is 50
6, the assembly time variation 507 of the entire product, and the assembly failure coefficient 508 of the entire product are calculated and displayed.

FIG. 13 shows, as another embodiment, an example in which the result is output for each part. 509 is the operation information and the part property information captured in the flow 300, 510 is the ideal assembly time for each part, 511 is the variation in the assembly time for each part, and 512 is the assembly sequence number.

Here, as one embodiment of the method of calculating the assembly time for each part, the total assembly time for each assembly operation, which is used until the assembly part is assembled to the assembly target part, is obtained. The calculation method is not limited to this. Also, as another embodiment of the calculation method, the assembly time for each assembly operation used until the assembly parts are assembled to the assembly target parts is corrected by a correction coefficient for each number of assembly operations, and the assembly after correction is performed. It may be calculated as the sum of the assembly time for each operation.

As an example of a method of calculating the variation in the assembly time for each component, the sum of squares of the assembly time for each assembly operation (the assembly time for each assembly operation) used before the assembly component is assembled to the assembly target component is used. The sum of the squares of and the square root is calculated), but the calculation method is not limited to this. As another embodiment of the calculation method, the assembly time variation for each assembling operation used until the assembling parts are assembled to the assembled parts is corrected by a correction coefficient for each number of assembling operations, and It is also possible to obtain the sum of squares of the variation in the assembly time for each attachment operation.

As an example of the method of calculating the assembly failure coefficient for each part, the assembly failure coefficient is calculated by the sum of the assembly failure coefficients for each assembly operation used until the assembly parts are assembled to the assembly target parts. The method is not limited to this. As another embodiment of the calculation method, the assembly failure coefficient for each assembling operation used until the assembling component is assembled to the assembled component is corrected by the correction coefficient for each number of assembling operations, and the corrected assembly It is also possible to obtain the sum of the assembly failure coefficients for each attaching operation.

Further, as other information of the output result,
When the evaluation target is a product including a plurality of parts, the assembly time 506 of the entire product, the assembly time variation 507 of the entire product, and the assembly failure coefficient 508 of the entire product are calculated and displayed on the display device 2 or the like. Will be.

Here, as an example of the method of calculating the assembly time of the entire product, the total assembly time of the assembled parts constituting the product is obtained. As an example of a method of calculating the variation in the assembly time of the entire product, the average of the sum of squares of the variation in the assembly time of each assembly component forming the product (square root of the sum of squares) is obtained. As an example of the method of calculating the assembly failure coefficient of the entire product, the assembly failure coefficient is calculated as the sum of the assembly failure coefficients for each of the assembled parts that make up the product. The method of calculating the total value of each product is not limited to this.

FIG. 14 shows another example of the output result in which the components are output in descending order of the assembly failure coefficient. The high failure coefficient sequence number is output to 513.

FIG. 15 shows another example of the output result, in which the output is performed for each part in the order of the largest variation in the assembly time. An assembling time variation order number is output to 513.

FIG. 16 shows, as another embodiment of the output result, a graph display of the assembly time and the variation in the assembly time. An assembly time and an assembly time variation graph are output at 514.

Next, a description will be given of an embodiment in which a process division design is performed by using the assembly time estimation method according to the present invention. First, in order to enable the present embodiment, in the process flow of the present system shown in FIG. 9, the calculation unit 3 sets the items to be included in the flow 300 as the process for each part in the assembly line of the order receiving company. It is necessary to import the process number information for which the number is decided from the database 20b of the assembly condition information. FIG. 17 shows an example of an output result calculated by the assembly time estimation system by the calculation unit 3 in consideration of the assembly time variation according to the present invention, using the input operation information, part property information, and process number information.

515 is a process number, 516 is an assembly sequence number,
Part information (part name, part drawing number, etc.) in 517
A graph of the operation information, the part property information, the assembly time of each process in 519, the assembly time variation in 520, and the assembly time and the assembly time variation in 521 are output. Here, as one example of the method of calculating the assembly time for each process, the total assembly time for each assembly component included in the process is calculated. As an example of the method for calculating the variation in the assembly time for each process, the average of the sum of squares of the variation in the assembly time for each assembly part included in the process (square root of the sum of squares) is obtained.

By outputting the assembling time and the assembling time variation for each process, the user can obtain a value closer to the actual time as the assembling time between the respective processes in consideration of the time variation. Prior to the manufacturing stage, it is possible to average the assembly time between the processes and to examine the process division. Thus, according to this embodiment,
It is possible to calculate the assembly time and the assembly time variation not only for each part but also for each classification set by the user.

Next, a calculation processing method of another embodiment of the assembly time variation calculation method for each process will be described with reference to FIG. In the process flow 300 of the present system, the part number P = P1 to Pn included in the process number J is calculated based on the process number information acquired from the assembly condition information database 20b.
A method of calculating variation in assembling time for each process will be described.

First, in step flow 610, the number of simulations Kn is designated to the calculation unit 3 using the input unit 1 or the like. Next, the calculation unit 3 performs step 6
11, the part P obtained in the flows 410 and 440
= Assembling time Ti and assembly time variation Tsi of Pi,
Assuming the occurrence frequency of the assembling time as shown in the figure, a random number N matching the occurrence frequency is generated between 0 and 1, and the assembling time simulation value Tsim is calculated. This is the part P = P
Repeat from 1 to Pn. Next, in step 612, assembly time simulation values Tsim (1) to Tsim of the parts P = P1 to Pn obtained in step 611.
By obtaining the total sum of (n), the assembly time Ttotal (K) for each process in the simulation number K is calculated. This is repeated from the simulation count K = 1 to Kn. Then, in step 613, step 612
Assembly time for each process Ttotal (1) to Tto obtained in
By ascertaining the average and deviation of tal (K), the assembly time for each process and the assembly time variation are calculated. This method is a calculation method that also takes into consideration that the total assembly time for each process becomes significantly long when only the worst assembly time for each component overlaps.

According to the time estimating method and the time estimating system according to the present invention described above, it is possible to estimate the assembly time in consideration of the variation in the assembly time at the pre-manufacturing stage such as the designing stage and the manufacturing process planning stage. Becomes

By the way, the actual product is not manufactured only by assembling, but usually purchased materials, purchased products, and manufacturing processes (including all processes such as thin film processing, fine processing, and mechanical processing). Process, assembling process, adjusting process, inspection process, etc.). The processing unit and the adjustment process in the manufacturing process are the same as the assembly process, and the calculation unit 3 of the system 10 performs the assembly process in all the manufacturing processes including the processing process, the assembly process, the adjustment process, and the inspection process. Similarly, the defect rate calculation program P stored in the storage unit 4a is stored using the database DB4b of the defect rate calculation coefficient / constant data stored in the storage unit 4b.
4a calculates at least the ideal manufacturing time (manufacturing average time), the manufacturing time variation, and the manufacturing defect coefficient for each manufacturing process, and calculates the sum or the square root of the sum of squares to calculate the ideal manufacturing time and manufacturing time of the entire product. It is possible to calculate the variation and the manufacturing defect coefficient and provide them to the ordering company 12 as well as the ordering company 12.

Further, the system 10 includes, for example, the storage unit 4
Based on the ideal manufacturing time (manufacturing average time), the manufacturing time variation, and the manufacturing defect coefficient for each manufacturing process stored in e, the manufacturing cost calculation coefficient / constant data (for example, for each manufacturing process) stored in the storage unit 4d. Using the database DB4d consisting of hourly unit price (man-hour unit price), the manufacturing cost calculation program P4c is used to increase the manufacturing cost (hourly unit price x ideal manufacturing time) and the manufacturing cost increase (hourly unit price x) for each manufacturing process. Manufacturing time variation) is calculated. Furthermore, the system 10 uses, for example, the manufacturing cost calculation coefficient stored in the storage unit 4d based on the ideal manufacturing time (manufacturing average time) of the entire product, the manufacturing time variation, and the manufacturing defect coefficient stored in the storage unit 4e.・ Database D consisting of constant data (for example, hourly unit price (man-hour unit price) for each manufacturing process)
Using B4d, the manufacturing cost calculation program P4c calculates the manufacturing cost (hour unit price × ideal manufacturing time) of the entire product and the manufacturing cost increase (unit time time × manufacturing time variation) in consideration of the defect rate. And the system 10
It is possible to provide the manufacturing cost including the increase in consideration of the defective rate for each manufacturing process and the entire product to the ordering company as well as the ordering company based on the consent of the ordering company. The system 1 is also used for the cost of materials and purchased items.
0 can be provided to the ordering company as well as the ordering company based on the understanding of the ordering company.

As described above, it becomes possible for the ordering company to set an appropriate price according to the product design specifications issued by the ordering company and to perform price negotiation with the ordering company on the Internet. Will also be able to secure profits by reducing the defect rate.

[0082]

According to the present invention, since it is possible to quantitatively evaluate the occurrence rate of defects in the manufacturing process due to the product specifications designated by the ordering company in advance, loss time, man-hours, parts cost Can be estimated and reflected in the product transaction price, which has the effect of setting an appropriate price.

Further, according to the present invention, if the evaluation calculation program is used, the defect rate estimation using the product specifications designated by the ordering company and the manufacturing conditions determined by the ordering company as parameters,
Since the price can be estimated, it is possible to appropriately and reasonably and efficiently perform price negotiation and decision between the price ordering side and the order receiving side.

[Brief description of drawings]

FIG. 1 is a schematic configuration diagram showing an embodiment of a mode for realizing a product price negotiation method and an estimated price presentation method according to the present invention.

FIG. 2 is a configuration diagram showing an embodiment of a manufacturing cost calculation system according to the present invention.

FIG. 3 is a flowchart showing a schematic procedure of a product price negotiation method and an estimated price presentation method according to the present invention.

FIG. 4 is a diagram showing an outline of a method of estimating an assembly time variation Tsi according to the present invention.

FIG. 5 is a diagram showing an embodiment of a composite method of the time Ti required for assembly and the occurrence frequency Tcsi of defective assembly work according to the present invention.

FIG. 6 is a diagram showing an embodiment of a method for estimating a time Ti required for assembly according to the present invention.

FIG. 7 is a diagram showing an embodiment of an estimation method of an occurrence frequency Ri of defective assembly work according to the present invention.

FIG. 8 is a system in an ASP company according to the present invention (No.
FIG. 3 is a configuration diagram showing an embodiment of a computer (1).

FIG. 9 is a system in an ASP company according to the present invention (No.
FIG. 3 is a schematic flow chart showing an example of the flow of calculation processing of (1 computer).

FIG. 10 is a diagram showing a specific example of the flow of calculation processing of the system in the ASP company according to the present invention.

FIG. 11 is a diagram showing another example of the flow of calculation processing of the system in the ASP company according to the present invention.

FIG. 12 is a diagram showing a first example of an output screen presented to each system according to the present invention.

FIG. 13 is a diagram showing a second example of the output screen presented to each system according to the present invention.

FIG. 14 is a diagram showing a third example of the output screen presented to each system according to the present invention.

FIG. 15 is a diagram showing a fourth example of the output screen presented to each system according to the present invention.

FIG. 16 is a diagram showing a fifth example of the output screen presented to each system according to the present invention.

FIG. 17 is a diagram showing a sixth example of the output screen presented to each system according to the present invention.

FIG. 18 is a diagram showing another embodiment of the method for calculating variation in assembling time for each process according to the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Input part, 2 ... Output part, 3 ... Calculation part, 4 and 4a-4e
... storage unit, 5 ... communication unit, 10 ... system, 10a ... assembly time estimation system, 11 ... APS company system (first
Computer), 12 ... system (computer) of ordering company, 13 ... system (computer) of ordering company, 15 ... network, 20a ... product specification information database, 20b ... manufacturing condition information (assembly condition information) database, 31 ... ROM, 32 ... CPU, 33 ... RA
M, DB4b ... Defect rate calculation coefficient / constant data, DB4
d ... Coefficient / constant data for manufacturing cost calculation, P4a ... Defect rate calculation program, P4c ... Manufacturing cost calculation program.

Claims (21)

[Claims] 1. When a computer of an ordering company makes an order for manufacturing a product to a computer of an ordering company via a network, the product is placed between the computer of the ordering company and the computer of the ordering company. The method of negotiating the transaction price of a product, wherein the computer of the ordering company transfers the product specifications to be outsourced to the computer of the ordering company and the transaction price calculating unit of the product via the network. A product specification presentation process to be presented, a plurality of manufacturing processes for the computer of the ordering company to manufacture the product based on the product specifications presented by the computer of the ordering company, and manufacturing conditions for each of the plurality of manufacturing processes. And a manufacturing condition presentation process of presenting the product to the transaction price calculation unit of the product, and the transaction price calculation unit of the product. From the product specification presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes, in the ordering company resulting from the product specification Estimating the defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes, and calculating the transaction price of the product according to the manufacturing time as a product in consideration of the estimated defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes A transaction price calculation process for the product, and a transaction price calculation unit for the product, at least the transaction price of the product calculated in the transaction price calculation process for the product, via the Internet, the computer of the order-accepting company, and the order. Transaction of products presented to the computer of the side company Transaction of products characterized by having a process of presenting prices etc. Case negotiation method. 2. An electronic commerce market in which a computer of an ordering company outsources a computer for manufacturing a product to a computer of an ordering company via a network, between the computer of the ordering company and the computer of the ordering company. The method of negotiating the transaction price of the product according to claim 1, wherein the computer of the ordering company sends the product specifications to be outsourced to the computer of the ordering company through the network and the transaction price of the product. A product specification presentation process presented to the calculation unit, and a plurality of manufacturing steps in which the computer of the order-receiving company manufactures the product based on the product specifications presented by the computer of the ordering company, and each of the plurality of manufacturing steps. A manufacturing condition presentation process of determining the manufacturing condition of the product and presenting it to the transaction price calculator of the product; The transaction price calculation unit of the product specifications from the product specifications presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes. According to the manufacturing time as a product in which the defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes in the order receiving side company is estimated, and the defect occurrence frequency or the defect coefficient for each of the plurality of estimated manufacturing processes is added. A product transaction price calculation process for calculating a product transaction price, and the product transaction price calculation unit, via the Internet, at least the product transaction price calculated in the product transaction price calculation process. And a transaction price presentation process of the product presented to the computer of the ordering company and the computer of the ordering company. Transaction price negotiation method of products that. 3. The manufacturing condition presenting process, wherein the manufacturing condition for each manufacturing process to be determined and presented is constituted by a manufacturing structure condition and a manufacturing workplace condition for each manufacturing process. How to negotiate the transaction price of the listed products. 4. In the process of presenting the transaction price of the product, before the transaction price of the product is presented to the computer of the ordering company, approval is obtained on the computer of the ordering company. 2. Transaction price negotiation method for the products described 5. In the transaction price presentation process of the product, the defect occurrence frequency or defect coefficient for each manufacturing process estimated in the transaction price calculation process of the product is further presented to the computer of the order receiving company. 5. A method for negotiating a transaction price for a product according to claim 1, 2 or 3 or 4. 6. In the process of calculating the transaction price of the product, the estimated defect occurrence frequency or defect coefficient for each manufacturing process is converted into manufacturing time variation for each manufacturing process, and the converted manufacturing time for each manufacturing process is calculated. 5. The method for negotiating a transaction price of a product according to claim 1, 2 or 3 or 4, wherein the manufacturing time as the added product is obtained by averaging the variations over a plurality of manufacturing processes or by averaging them. 7. A defect occurrence as a product obtained by totalizing or sum averaging the estimated defect occurrence frequency or defect coefficient for each manufacturing process over a plurality of manufacturing processes in the process of calculating the transaction price of the product. 5. The method for negotiating a transaction price of a product according to claim 1, 2 or 3 or 4, wherein the manufacturing time as the product taking into consideration is obtained by converting a frequency or a coefficient of failure into a manufacturing time variation. 8. In the process of presenting the transaction price of the product, the defect occurrence frequency or defect coefficient for each manufacturing process estimated in the process of calculating the transaction price of the product is further summed or averaged over a plurality of manufacturing processes. The product transaction price negotiation method according to claim 1, 2 or 3 or 4, wherein the defect occurrence frequency or defect coefficient is presented to the computer of the order-accepting company as the product obtained. 9. In the process of presenting the transaction price of the product, the defect occurrence frequency or defect coefficient for each manufacturing process estimated in the process of calculating the transaction price of the product is further converted into manufacturing time variation for each manufacturing process, The method for negotiating a transaction price of a product according to claim 1, 2 or 3 or 4, wherein the method is presented on a computer of an ordering company. 10. The transaction price negotiation for the product according to claim 1, wherein the transaction price calculation unit for the product is configured by a first computer connected to the network. Method. 11. When the computer of the ordering company makes a consignment order for manufacturing a product to the computer of the ordering company via a network, the estimated price of the product is transferred from the computer of the ordering company to the computer of the ordering company. A method of presenting an estimated price of a product, wherein the computer of the ordering company presents the product specifications outsourced to the computer to the computer of the ordering company and the estimated price calculator of the product via the network. Specification specification process, the computer of the ordering company determines a plurality of manufacturing processes for manufacturing the product based on the product specifications presented by the computer of the ordering company, and manufacturing conditions for each of the plurality of manufacturing processes. The manufacturing condition presentation process of presenting the estimated price of the product to the estimated price calculation section of the product, and the estimated price calculation section of the product From the product specifications presented by the computer of the side company, the plurality of manufacturing processes presented by the computer of the order receiving company, and the manufacturing conditions for each of the plurality of manufacturing processes, the plurality of order receiving companies resulting from the product specifications The product in which the defect occurrence frequency or the defect coefficient for each manufacturing process is estimated, and the estimated price of the product is calculated according to the manufacturing time as a product in which the estimated defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes is added And an estimated price calculation unit for the product, at least an estimated price presentation process for presenting the estimated price of the product calculated in the estimated price calculation process for the product to the computer of the order receiving company, A method of presenting an estimated price for a product, comprising: 12. The manufacturing condition for each manufacturing process, which is determined and presented in the manufacturing condition presentation process, is composed of a manufacturing structure condition and a manufacturing workplace condition for each manufacturing process. How to quote the product price. 13. In the process of presenting an estimated price of the product,
13. The method of presenting an estimated price of a product according to claim 11, wherein approval is given on the computer of the ordering company before presenting the estimated price of the product to the computer of the ordering company. 14. In the process of presenting an estimated price of the product,
The price quote for a product according to claim 11 or 12, characterized in that the defect occurrence frequency or the defect coefficient for each manufacturing process estimated in the process of calculating the estimated price of the product is presented to the computer of the order receiving company. Method. 15. In the process of presenting an estimated price of the product,
Furthermore, the defect occurrence frequency or defect coefficient for each manufacturing process estimated in the process of calculating the estimated price of the product is converted into manufacturing time variation for each manufacturing process and presented to the computer of the ordering company. Item 11 or 1
Method for presenting the estimated price of the product described in 2. 16. In the process of calculating the estimated price of the product,
The estimated defect occurrence frequency or defect coefficient for each manufacturing process is converted into manufacturing time variation for each manufacturing process, and the converted manufacturing time variation for each manufacturing process is totaled or averaged over a plurality of manufacturing processes. The method of presenting the estimated price of a product according to claim 11 or 12, characterized in that the manufacturing time of the product including the added product is obtained. 17. In the process of calculating the estimated price of the product,
By converting the defective occurrence frequency or defective coefficient as a product obtained by averaging or summing the defective occurrence frequency or defective coefficient for each of the estimated manufacturing processes over a plurality of manufacturing processes, The method for presenting an estimated price for a product according to claim 11 or 12, characterized in that the manufacturing time of the product taking into consideration is obtained. 18. In the process of presenting an estimated price of the product,
Further, as a product obtained by totalizing or sum-averaging the defect occurrence frequency or the defect coefficient for each manufacturing process estimated in the process of calculating the estimated price of the product, the order regarding the defect occurrence frequency or the defect coefficient is received. 13. The method for presenting an estimated price of a product according to claim 11 or 12, wherein the method is presented on the computer of the side company. 19. The method of presenting an estimated price for a product according to claim 11, 12 or 13 or 14, wherein the estimated price calculation unit for the product is configured by a first computer connected to the network. 20. When a computer of an ordering company makes an order for manufacturing a product to a computer of an ordering company via a network, the product is placed between the computer of the ordering company and the computer of the ordering company. The method of negotiating the transaction price of a product, wherein the computer of the ordering company transfers the product specifications to be outsourced to the computer of the ordering company and the transaction price calculating unit of the product via the network. A product specification presentation process to be presented, a plurality of manufacturing processes for the computer of the ordering company to manufacture the product based on the product specifications presented by the computer of the ordering company, and manufacturing conditions for each of the plurality of manufacturing processes. And a manufacturing condition presenting process of determining and presenting the product to the transaction price calculation unit of the product, and the transaction price calculation unit of the product. , The ordering company resulting from the product specification from the product specifications presented by the computer of the ordering company, the plurality of manufacturing processes presented by the computer of the ordering company, and the manufacturing conditions for each of the plurality of manufacturing processes The defect occurrence frequency or defect coefficient for each of the plurality of manufacturing steps in the above, and based on the estimated defect occurrence frequency or defect coefficient for each of the plurality of manufacturing steps, the manufacturing cost evaluation program is used to perform the manufacturing for each manufacturing step. A manufacturing cost evaluation process for evaluating costs, and a transaction price calculation unit for the product, at least the manufacturing cost of each manufacturing process evaluated in the manufacturing cost evaluation process, via the Internet, the computer of the order receiving company, and the Manufacturing cost presentation that allows you to identify manufacturing processes that may reduce costs by presenting them to the computer of the ordering company Transaction price negotiation method of product characterized in that it has a door. 21. A program for a computer of an ordering company to calculate a transaction price of a product when a computer outsources an order to a computer of the ordering company for manufacturing a product via a network, the computer of the ordering company From the product specifications presented by the computer, the plurality of manufacturing processes presented by the computer of the order receiving company, and the manufacturing conditions for each of the plurality of manufacturing processes, the plurality of manufacturing processes in the order receiving company resulting from the product specifications. The estimation process for estimating the defect occurrence frequency or the defect coefficient for each product, and the transaction price of the product according to the manufacturing time as a product in which the defect occurrence frequency or the defect coefficient for each of the plurality of manufacturing processes estimated in the estimation process are added. The calculation process of calculating and the transaction price of the product calculated in the calculation process are forwarded via the network. Product transaction price calculation program and executes the presentation process to be presented to the order side corporate computer and the ordering side corporate computer.