JPH05282331A - Part cost estimation system - Google Patents

Abstract

PURPOSE:To sharply reduce a parameter inputting time for a cost calculation CONSTITUTION:CAD-shaped data in which each part data are recorded, are stored in a graphic data storage part 14. A peripheral length calculating part 15b-weight calculating part 15f of a parameter extracting part 15 extract a parameter related with the working cost of a part, for example, the parameter of the number of time of bending, number of screw holes, and plate thickness value or the like, through a graphic data reading part 15a from the CAD-shaped data of the graphic data storage part 14.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a parts cost estimation system, and more particularly to a parts manufacturing cost estimation system in a mechanical CAD system.

[0002]

2. Description of the Related Art Nowadays, competition for lower prices of products is intensifying, and it is becoming important to grasp product costs at the design stage and carry out low-priced design. In order to deal with such a situation, a system and a cost estimation system that can easily estimate the product cost by using a computer are used. In other words, cost estimation has been performed manually by manually establishing the manufacturing process of the part and adding processing time, set time, material cost, cost depreciation cost, etc., but these works were replaced with a computer. Is a cost estimation system.

FIG. 2 is a block diagram showing the structure of a conventional cost estimation system. This cost estimation system exemplifies a system for sheet metal parts. The system shown in the figure has a display device 1, an input device 2, a graphic input / output processing unit 3, a processing parameter input unit 4, a processing cost calculation unit 5, a processing cost storage unit 6, a material parameter input unit 7, a material cost calculation unit 8, It comprises a material cost storage unit 9, a cost addition unit 10, material cost data 11, and processing cost data 12.

The display device 1 is composed of a CRT or the like and is for displaying various data, an input screen and the like. The input device 2 is a device including a keyboard, a mouse, a tablet, etc., and an operator inputs various data and settings. The graphic input / output processing unit 3 processes various data input from the input device 2, and at the same time, the cost addition unit 10
The control is performed so that the display device 1 displays the calculation result of the cost added in.

The machining parameter input section 4 includes a bending parameter input section 4a, a cutting parameter input section 4b, a plating parameter input section 4c, and a finishing parameter input section 4.
It consists of d. The bending parameter input unit 4a has a function of inputting parameters such as the number of times of bending and the bending shape, the cutting parameter input unit 4b has a cutting process parameter, and the plating parameter input unit 4c has a plating process step. Parameters, finishing parameter input section 4
d has a function of inputting parameters of the finishing process.

The processing cost calculation unit 5 is a press processing cost calculation unit 5.
a, cutting processing cost calculation section 5b, plating processing cost calculation section 5c,
It includes a finishing cost calculation unit 5d. The press processing cost calculation unit 5a has a function of calculating the processing cost based on the parameters input by the bending parameter input unit 4a and the data from the processing cost data 12 calculated in advance. The calculation unit 5b, the plating processing cost calculation unit 5c, and the finishing processing cost calculation unit 5d also store the parameters input in the cutting processing parameter input unit 4b, the plating parameter input unit 4c, and the finishing parameter input unit 4d and the processing cost data 12, respectively. Based on this, it has a function of calculating cutting processing costs, plating processing costs, and finishing processing costs.

Further, the processing cost storage unit 6 includes a processing cost calculation unit 5
Of the press processing cost calculation unit 5a, the cutting processing cost calculation unit 5b,
Processing cost storage units 6a to 6 that store the respective values calculated by the plating processing cost calculation unit 5c and the finishing processing cost calculation unit 5d.
d. In addition, the material parameter input unit 7
Has a function of inputting what kind of material is used as a parameter, and the material cost calculation unit 8 inputs the parameter input by the material parameter input unit 7 and the material cost data 11 calculated in advance. , Has the function of calculating the material cost based on these values. Further, the material cost storage unit 9 is for storing the material cost calculated by the material cost calculation unit 8, and the value stored here and the value stored in the processing cost storage unit 6 described above are It is configured to be input to the cost addition unit 10.

Next, a method of using such a system will be described. The user refers to the drawing of the target part for which cost estimation is to be performed, and first lists up what process is required to process the part. For example, in the case of a bent sheet metal part, a part requires a cutting process from a standard length material, an outer shape cutting process by a press, a drilling / screwing process, a finishing process by cutting, a plating process and the like. Next, the user selects a process from these processes according to the list, and inputs the processing parameter for each process from the input device 2. As this parameter, for example, regarding the pressing process, whether to use an NCT (Numerical Control Turret Punch) press, a laser press,
There are parameters such as whether to use a dedicated press die, and regarding the bending process, there are parameters such as bending length, the number of bending processes, and processing accuracy.

When these parameters for each process are input to the processing parameter input unit 4, these parameters are transferred to the processing cost calculation unit 5 and the processing cost for each process is calculated. In this processing cost calculation, the processing cost data 12 is used for the calculation.

FIG. 3 is a diagram showing a processing cost data table as an example of the processing cost data 12. This processing cost data table shows the bending cost of the power press, and shows the processing cost rate for each power press capability and the processing cost of each lateral dimension. The processing cost calculated by the processing cost calculation unit 5 with reference to such a data table is transferred to and stored in each of the storage units 6a to 6d of the processing cost storage unit 6. Also, regarding material costs,
The scrap weight or the like is input to the material parameter input unit 7 via the input device 2. Then, based on these material parameters, the material cost calculation unit 8 refers to the material cost table 11 to execute the calculation process, and then the data is transferred to and stored in the material cost storage unit 6. When the above calculation process is completed, the cost addition unit 10 operates to extract the process cost for each process from the process cost storage unit 6 and the material cost storage unit 9, and after the addition process, the figure input / output processing unit 3 By display device 1
Displayed in. Further, this result can be transferred to and stored in an external peripheral device such as a printer or a floppy disk.

FIG. 4 shows an output example of the result. The parts cost estimate shown in the figure shows the material and material cost for a given part, and how many times each process is performed and how much the machining cost is, etc. You can know the processing cost and the total processing cost.

[0012]

However, in the component cost estimation system having the above configuration, the user must have the knowledge to set the machining process of the component by looking at the component drawing. That is, in the conventional part cost estimation system, as described above, the user inputs the parameters for each process, and therefore, it has been necessary to know which machining process the part requires. For example, when a sheet metal part has a hole and a bending process, the user can set whether to first perform the hole forming and then the bending process, or to perform the bending process and then the hole forming. It had to be judged and this required some knowledge.

Further, even if the same parts are used, the cost varies depending on the processing machine, so it is necessary to select the processing machine.
It also required deep knowledge of manufacturing equipment. Further, since there are many input items, there is a problem that a lot of time is required for inputting and calculating parameters. Moreover, 1
The output that is output by one input is one result as shown in FIG. 4, and is close to the result of simple spreadsheet calculation. Therefore, if the design is changed a little, it is necessary to redo the data input from the beginning in order to investigate how much the cost changes. Therefore, it cannot be said that it is an effective system for a "low-cost design" in which the product designer uses it at the design stage and changes the design while watching the cost.

The present invention has been made in order to solve the above-mentioned conventional problems, and can be easily used without any working knowledge, the parameter input and calculation time is short, and the change of the input parameter can be prevented. It is an object of the present invention to provide a parts cost estimation system that enables easy investigation of cost effects.

[0015]

According to a first aspect of the present invention, there is provided a component cost estimation system, which is a parameter extracting unit for extracting graphic data in which a shape of a component is recorded and a parameter related to the machining cost of the component from the graphic data. Is provided. A component cost estimation system according to a second aspect of the present invention refers to a parameter relating to a machining cost of a component and a coefficient of cost evaluation coefficient data indicating a relationship between the parameter and the cost to calculate a necessary machining cost. It is characterized in that a section is provided. A component cost estimation system according to a third aspect of the invention is characterized by including a cost data display processing unit that displays the degree of influence on the component cost due to fluctuations in parameters related to the component processing cost. A component cost estimation system according to a fourth aspect of the present invention is characterized in that a cost contribution rate display processing unit that displays a contribution rate of each of the component costs to the cost of the entire apparatus is provided for an apparatus including a plurality of parts. It is what

[0016]

In the component cost estimation system of the present invention, the CAD data in which each component data is recorded is stored in the graphic data storage unit. The perimeter calculation unit to the weight calculation unit of the parameter extraction unit, from the CAD shape data of the graphic data storage unit, through the graphic data reading unit, the parameters related to the machining cost of the part, such as the number of bends, the number of screw holes, and the plate thickness. Extract parameters such as values. Therefore, the parameter input time for cost calculation can be significantly reduced.

[0017]

Embodiments of the present invention will be described in detail below with reference to the drawings. FIG. 1 is a block diagram showing an embodiment of a parts cost estimation system of the present invention. Although this embodiment is characterized in that a parameter extraction unit is provided,
Prior to the description of this parameter extraction unit, the overall configuration of the component cost estimation system will be described.

FIG. 5 is an overall configuration diagram of a parts cost estimation system according to the present invention. The system shown in the figure includes a display device 1, an input device 2, a graphic input / output processing unit 3, a graphic data operation / display processing unit 13, a graphic data storage unit 14, a parameter extraction unit 15, a parameter input / output unit 16, and a parameter storage unit 17. , Cost estimation calculation unit 18, cost data display processing unit 19, cost data storage unit 20, external storage device 21,
It consists of 22. The display device 1, the input device 2, and the graphic input / output processing unit 3 are the same as those in the conventional component cost estimation system shown in FIG.

The graphic data operation / display processing unit 13 is a processing unit for displaying the graphic data stored in the graphic data storage unit 14 and updating the contents thereof. The graphic data storage unit 14 is a storage unit for reading out the CAD shape data stored in the external storage device 21 and storing it. The parameter extraction unit 15 reads the graphic data stored in the graphic data storage unit 14, outputs the value of the parameter related to the cost, and outputs the parameter storage unit 1
7 has the function of storing it, which will be described in detail later. The parameter input / output unit 16 also has a function of displaying and updating the contents of the parameter storage unit 17.
Further, the output of the parameter storage unit 17 is configured to be stored in the external storage device 21 as CAD shape data. The cost estimation calculation unit 18 reads the parameters required for cost estimation from the parameter storage unit 17, performs the calculation operation by referring to the cost evaluation coefficient data stored in the external storage device 22, and outputs the result as the cost data storage unit 20. Is stored in the memory, which will be described later in detail. The cost data display processing unit 19 is for processing the content of the cost data storage unit 20 and displaying it on the display device 1 via the graphic input / output processing unit 3. The external storage device 22 stores the cost evaluation coefficient data as described above.

Next, the above-mentioned parameter extracting unit 15 which is the first characteristic part of the present invention will be described. As described above, FIG. 1 shows the configuration of the parameter extracting unit 15 and the peripheral device, and this example shows the parameter extracting unit 1 for sheet metal parts.
5 is shown. The parameter extraction unit 15 shown in the figure
The figure data reading unit 15a includes a circumference length calculating unit 15b, a screw hole number calculating unit 15c, a bending number calculating unit 15d, a plate thickness value calculating unit 15e, and a weight calculating unit 15f. The graphic data reading unit 15a reads the graphic data stored in the graphic data storage unit 14, and determines the perimeter of the component in the graphic data.
It has a function of outputting data such as the number of screw holes to the circumference calculation unit 15b to the weight calculation unit 15f, respectively. The peripheral length calculation unit 15b has a function of calculating the peripheral length of the outer shape of the component, and hereinafter, similarly, the screw hole number calculation unit 15c, the bending number calculation unit 15d, the plate thickness value calculation unit 15e, and the weight calculation. Part 15f
Has a function of calculating the number of screw holes, the number of bends, the plate thickness value, and the weight of each part.

Next, the operation of each calculation section will be described. FIG. 6 shows a plate thickness portion extraction flowchart in the plate thickness value calculation unit 15e. Further, FIG. 7 shows a parts drawing as graphic data. First, it is determined whether or not there is an arc element from the shape data of the part (step S1), and if there is, the arc element is extracted (step S2). In the parts shown in FIG. 7, a8, b7, c4 and c8 are arc elements. Next, it is checked whether or not there are concentric circular arcs having the same radius other than the radius (step S3), and if they exist, the concentric circular arc data is extracted (step S4). Next, a candidate for the plate thickness portion is extracted (step S5), and it is determined whether the plate thickness of the plate thickness portion candidate is a standard plate thickness (step S6). FIG. 8 is a diagram showing the concentric arc data. That is, when the radius of one of the concentric arcs is R1 and the radius of the other arc is R2, the plate thickness t of the arc portion is "R2-
R1 ”. Also, here, the standard plate thickness is C
The plate thickness value previously input as the AD shape data 21 is indicated.

In step S6, when the plate thickness of the arc portion is the standard plate thickness, the straight line connecting each arc is extracted and the parallelism is checked (step S7), and the plate thickness portion candidate is set as the plate thickness portion. Set (step S8). For example, the plate thickness portion set in step S8 is a portion constituted by c4 and c8 in FIG. If the plate thickness portion candidate is not the standard plate thickness in step S6, the process returns to step S1.

If there are no concentric arcs in step S3, it is determined whether or not there are two straight lines whose end points are the center positions of the arcs (step S9). FIG. 9 is a diagram showing such an arc portion without the inside R. If there are two corresponding straight lines (straight line m and straight line n in FIG. 9), the two straight line data are extracted (step S10), and the radius of the arc is set as the plate thickness portion candidate (step S1).
1). That is, the radius R3 of the arc is the plate thickness t. And
It is determined whether the plate thickness portion candidate is the standard plate thickness (step S1).
2) If the plate thickness is standard, extraction of a straight line connected to an arc and parallelism are checked (step S13), the process proceeds to step S8, and this plate thickness part candidate is set as the plate thickness part. In step S9, if there are no two straight lines with the center position of the circular arc as the end point, and if the plate thickness portion candidate is not the standard plate thickness in step S12, the process returns to step S1.

If there is no arc in the figure data in step S1, it is a flat plate. Therefore, it is first checked whether or not there is a straight line (step S14). Extract (step S1
5). Then, the length of the straight line is set as a plate thickness part candidate (step S16), the plate thickness part candidate is compared and checked with the standard plate thickness (step S17), and if it is the standard plate thickness, The process proceeds to step S8, and the plate thickness part candidate is set as the plate thickness part. If there is no straight line in step S14, error processing is performed (step S18). Then, after setting as the plate thickness portion in step S8 and after the error processing in step S18, it is determined whether or not all the data has been examined (step S19), and if all the data have been examined, the plate thickness portion extraction processing is performed. Ends, otherwise returns to step S1.

Next, the bending number extraction operation by the bending number calculation unit 15d will be described. FIG. 10 shows a flowchart of the operation. First, the bending counter is set to 0 (step S1). Next, the shape corresponding to the bent portion of the plate thickness is extracted (step S2). As for this shape,
In FIG. 7, there are a bent shape centered on b7 without an inner radius R and a bent shape centered on c4 and c8 with an inner radius R. Then, it is determined whether or not there is such a bending pattern (step S3), and if there is a bending pattern,
It is checked whether the extracted thickness of the bent shape is the same as the previously determined thickness value (standard thickness) (step S).
4). Here, if it is the same as the previously determined plate thickness value, the number of times of bending is increased (step S5),
Return to step S2. When the above operation is repeated and there is no bending pattern in step S3, the extraction of the bending shape pattern is completed, and the operation is ended.
Further, in step S4, when the extracted plate thickness of the bent shape is not the same as the previously determined plate thickness value, the process returns to step S2.

Next, the operation of extracting the number of screw holes in the screw hole number calculating section 15c will be described. FIG. 11 is a flowchart of the operation. Further, FIG. 12 shows a drawing of a component with screw holes. First, the counter for the number of screw holes is set to 0 (step S1). Next, the label size indicating the screw hole is extracted (steps S2 and S3). The label size is the portion of d1, d2, d3 in FIG.
d1 indicates that there are holes with a diameter of 5 mm, d2 indicates that there are two holes that have a diameter of 3 mm, and d3 indicates that there are two M3 screw holes. If there is a label dimension in step S3, the type and number of screw holes are extracted from the label dimension (step S4). Then, based on the data extracted here, the number of screw holes is counted for each type of screw holes (step S5), and such processing is repeated until the extraction of the label dimension indicating the screw holes is completed, and the number of screw holes is obtained.

By the above operation, the parameter storage unit 17
Stores parameters relating to processing that can be extracted from the graphic data. On the other hand, the parameters such as the number of manufacturing lots that cannot be extracted from the shape data are input interactively by the operator using the input device 2 and the display device 1 by the function of the parameter input / output unit 16. FIG. 13 shows an input / output screen at that time. As shown in the figure, in the present embodiment, the parameters extracted by the parameter extracting unit 15 are also displayed on the screen, and these values can be corrected by the operator. Further, the operator can input the fluctuation range for both the parameter input by the operator and the parameter extracted from the shape data. For example, the weight is ± 100 g, and the number of bends is ± 1. Further, the parameter data stored in the parameter storage unit 17 can be transferred to the external storage device 21 that stores the CAD shape data and can be saved together with the CAD shape data.

Next, the cost estimation calculation unit 18, which is the second feature of the present invention, will be described. FIG. 14 is a diagram showing the configuration of the cost estimation calculation unit 18. The cost estimation calculation unit 18 in the figure includes a parameter reading unit 18 a and a material cost calculation unit 1.
8b, bending process cost calculation unit 18c, cutting process cost calculation unit 18
d, plating processing cost calculation unit 18e, finishing processing cost calculation unit 1
8f, material cost storage 18g, processing cost storage 18h-18
It consists of k and a cost addition unit 18m. Parameter reading unit 18
The a has a function of reading each parameter stored in the parameter storage unit 17. Also, the material cost calculation unit 18b
~ The finishing processing cost calculation unit 18e includes the parameter reading unit 18
It has a function of calculating each material cost and each processing cost by referring to each parameter read in a and the cost evaluation coefficient data 22 stored in the external storage device 22. Furthermore,
The material cost storage unit 18g and the processing cost storage units 18h to 18k are
Material cost calculator 18b to finishing cost calculator 18
A storage unit for storing the value calculated in f. The cost addition unit 18m has a function of adding the costs stored in the material cost storage unit 18g to the processing cost storage unit 18k and sending the added cost to the cost data storage unit 20.

The cost evaluation coefficient data stored in the external storage device 22 is, for example, data showing the correlation between the number of times of bending and the bending cost. Figure 15
Shows such cost evaluation coefficient data. This cost evaluation coefficient data shows the relationship between the bending cost and the number of times of bending, and the one obtained in advance from the actual data is recorded as the cost coefficient a (yen / piece).

The respective calculation units 18b to 18f perform cost calculation with reference to such cost evaluation coefficient data. For example, if the “number of times of bending n” in the parameter read by the parameter reading unit 18a is other than 0, this value is transferred to the bending processing cost calculation unit 18c, and the calculation of cost = a × n is performed. The result is stored in the processing cost storage unit 18h. The processing cost of each process based on the presence determination of the parameters as described above is similarly calculated for the other processes, and transferred / held to each of the processing cost storage units 18i to 18k.
Then, after such processing is performed on all the parameters, the processing cost data is read from the storage sections 18g to 18k by the cost addition section 18m and added,
The total processing cost is calculated. This result is transferred to and stored in the cost data storage unit 20. The data saved here can also be stored in the external storage device 21 as CAD shape data.

Of the parameters stored in the parameter storage unit 17, those having the fluctuation range described in the first characteristic section are read out from the fluctuation range parameter, the parameters are decomposed into a plurality of parameters, and each of the parameters is calculated as described above. Calculate. For example, if the weight is stored as a parameter of 800 g and a fluctuation range of ± 100 g, 700, 750, 80
The calculation is performed by substituting a plurality of parameters within the fluctuation range, such as 0,850,900. In this case, there are five types of cost data stored in the cost data storage unit 20. It should be noted that the system determines how many parameters are decomposed by external specification.

When a plurality of parts are separated and stored in the graphic data storage unit 14 with respective names and numbers, the cost data is also stored with these attributes. FIG. 16 shows an example of data contents of the cost data storage unit 20. That is, for each part, data is stored such as how much the material cost is, how much each machining cost is for a plurality of parameters, and what range the total cost of manufacturing the part is.

Next, the cost data display processing section 19, which is the third feature of the present invention, will be described. The cost data display processing unit 19 has a function of reading data from the cost data storage unit 20 and displaying graphs, graphics, characters, etc. on the display device 1 in an easily understandable manner for the operator. There are three display methods, which will be sequentially described below.

First, the first method is a method of displaying the numerical value of the cost calculation result. FIG. 17 shows a display example thereof.
This display may show not only the total cost of the parts but also the process-specific costs obtained in the above-described calculation process, for example, the process-specific costs such as the bending cost and the screw hole machining cost, as reference data. it can.

Next, the second method will be described. The second method is a method of displaying the cost fluctuation with respect to the parameter fluctuation width by a graph. FIG. 18 shows an example thereof. That is, when the fluctuation range is given to the number of screw holes and the number of bends as parameters, the contents of the cost data storage unit 20 are in the format shown in FIG. 16, and by calculating these data, It is possible to show the relationship of the component cost with respect to the number of times of bending from the number of screw holes MIN to the number of screw holes MAX as shown in 18. It should be noted that although a graph is displayed here with a curve for each number of screw holes, the present invention is not limited to such a graph display, and for example, a bar graph or the like may be displayed as a component cost due to fluctuations in parameters related to the machining cost of the component. Any display method may be used as long as it displays the degree of influence of.

The third method includes a cost contribution rate display processing unit, totals the component costs stored for each component group for all components, and displays the total cost as a component group. This will be described as another embodiment. FIG. 19 is a block diagram showing another embodiment. In this component cost estimation system, the cost contribution rate display processing unit 23 displays the contribution rate of each component cost to the cost of the entire apparatus for a device composed of a plurality of components. This is the same as the component cost estimation system shown in FIG. That is, the cost contribution rate display processing unit 23 obtains the cost contribution rate for each component from the total component manufacturing cost stored in the cost data storage unit 20 and each component processing cost, and displays it. is there.

FIG. 20 shows a display example by this parts cost estimation system. In this display example, the part number, the part name, the part processing cost, and the cost contribution rate of each part are shown. Therefore, since it is possible to know the degree of influence of each component on the total cost, it is possible to easily and surely know which component should be reduced in cost in order to reduce the cost.

In each of the above embodiments, the operation for extracting the plate thickness portion and the operation for extracting the number of bendings are separately performed, but they may be performed as a continuous process. FIG. 21 shows a flowchart of the operation. That is, the bending number counter is reset in step S1 and the bending number is counted up in step S9.
It is a process added to the extraction operation flowchart of the plate thickness portion of. Here, the count-up process of the bending number in step S9 is performed after step S8 or step S15, and the bending shape portion with the inside R and the bending shape portion without the inside R are counted. The other processes are the same as those in the flowchart of FIG. 6, and thus the description thereof is omitted here.

[0039]

As described above, according to the component cost estimation system of the first aspect of the invention, since the parameter extracting unit for extracting the parameter relating to the machining cost of the component from the graphic data is provided, the user has to bother. There is no need to input parameters, and the parameter input time for cost calculation can be greatly reduced.

According to the component cost estimation system of the second aspect of the invention, since the cost estimation calculation unit for calculating the machining cost of each process from the parameter relating to machining is provided, the machining process selecting work is unnecessary, and the operator has knowledge of machining. There is an effect that the cost can be calculated even without.

According to the component cost estimation system of the third invention, the cost data display processing unit for displaying the influence of the fluctuation of the parameter relating to the machining on the component cost is provided. The processing cost can be easily known, and the time for cost calculation can be greatly shortened.

According to the component cost estimation system of the fourth invention, the cost contribution rate display processing unit for displaying the cost contribution rate of each component cost to the entire apparatus for the apparatus composed of a plurality of parts. Since the above is provided, it is possible to easily understand how the cost of each component affects the cost of the entire apparatus, and it is possible to easily and surely take measures for cost reduction.

[Brief description of drawings]

FIG. 1 is a block diagram of a parameter extraction unit in a component cost estimation system of the present invention.

FIG. 2 is a block diagram of a conventional component cost estimation system.

FIG. 3 is an explanatory diagram of a processing cost data table in a conventional component cost estimation system.

FIG. 4 is an explanatory diagram of an output example of a component cost estimation result in a conventional component cost estimation system.

FIG. 5 is a block diagram showing an overall configuration of a component cost estimation system of the present invention.

FIG. 6 is a flow chart of an extraction operation of a plate thickness portion in the component cost estimation system of the present invention.

FIG. 7 is an explanatory diagram of a parts diagram in the parts cost estimation system of the present invention.

FIG. 8 is an explanatory diagram of concentric arc data in the component cost estimation system of the present invention.

FIG. 9 is an explanatory diagram of an inside R-less arc portion in the component cost estimation system of the present invention.

FIG. 10 is a flow chart for extracting the number of times of bending in the component cost estimation system of the present invention.

FIG. 11 is a flowchart for extracting the number of screw holes in the component cost estimation system of the present invention.

FIG. 12 is an explanatory diagram of a component diagram with screw holes in the component cost estimation system of the present invention.

FIG. 13 is an explanatory diagram of an example of a parameter input / output screen in the parts cost estimation system of the present invention.

FIG. 14 is a block diagram showing a configuration of a cost estimation calculation unit in the component cost estimation system of the present invention.

FIG. 15 is an explanatory diagram of cost evaluation coefficient data in the parts cost estimation system of the present invention.

FIG. 16 is an explanatory diagram showing data contents of a cost data storage unit in the parts cost estimation system of the present invention.

FIG. 17 is an explanatory diagram showing a cost data display example in the component cost estimation system of the present invention.

FIG. 18 is an explanatory diagram showing a display example by the cost data display processing unit in the component cost estimation system of the present invention.

FIG. 19 is a block diagram of another embodiment of the parts cost estimation system of the present invention.

FIG. 20 is an explanatory diagram showing a display example according to another embodiment of the parts cost estimation system of the present invention.

FIG. 21 is a flow chart in the case where the extraction of the plate thickness portion and the extraction of the number of bends are continuously performed in the component cost estimation system of the present invention.

[Explanation of symbols]

 1 Display Device 2 Input Device 14 Graphic Data Storage Unit 15 Parameter Extraction Unit 18 Cost Estimation Calculation Unit 19 Cost Data Display Processing Unit 21, 22 External Storage Device 23 Cost Contribution Ratio Display Processing Unit

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Junichi Mizuochi 1-7-12 Toranomon, Minato-ku, Tokyo Oki Electric Industry Co., Ltd.

Claims (4)

[Claims] 1. A component cost estimation system comprising: graphic data in which the shape of a component is recorded; and a parameter extraction unit for extracting a parameter related to the machining cost of the component from the graphic data. 2. A cost estimation calculation unit that calculates a necessary processing cost by referring to a parameter related to a processing cost of a part and a coefficient of cost evaluation coefficient data indicating a relationship between the parameter and the cost is provided. Characteristic parts cost estimation system. 3. A component cost estimation system comprising a cost data display processing unit for displaying the degree of influence on the component cost due to fluctuations in parameters relating to the component processing cost. 4. A device comprising a plurality of parts,
A component cost estimation system comprising a cost contribution rate display processing unit that displays a contribution rate of each of the component costs to the cost of the entire apparatus.