JPH1148090A - Tool management method and system and recording medium for tool management program capable of being read by computer - Google Patents

Abstract

PROBLEM TO BE SOLVED: To establish a tool management method and system which can make optimum selection of a tool and grasp of the selective situation and provide a recording medium for a tool management program which can be read by a computer. SOLUTION: For a cutting tool used in a D/B-A, a comparator module M21 judges whether the data of each item of cutting conditions information of tool as new product in a D/B-B lies within the range of specified values of each item pre-registered or not. The tool which has the most items lying within the range of specified values is selected as an examiner tool as substitute candidate.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention records a tool management system, a tool management method, and a tool management program for supporting a task of switching to a more preferable alternative tool based on information on a tool in use and a tool of a new product. The present invention relates to a computer-readable recording medium.

[0002]

2. Description of the Related Art Conventionally, for example, a cutting tool for cutting or the like is frequently used in a production factory such as a vehicle.

[0003] Such a tool generally has a long life, a high unit price, and a long lead time from ordering to delivery. Therefore, appropriate inventory management and order management are necessary for the reduction of shelf assets.

[0004]

Further, in such a tool, it is difficult to select an alternative in order to take measures against troubles occurring in the tool currently in use and to switch to a new product, and it is difficult for a veteran worker to select an alternative. There is probably a side that depends on intuition. Especially,
If the operator who selects the substitute product is different from the operator who manages the tools currently in use so that the tools are in an optimal stock amount (for example, the safety stock amount), the situation of the selection work cannot be grasped. As a result, a tool to be switched may be ordered, resulting in an increase in shelf assets.

Accordingly, an object of the present invention is to provide a tool management system, a tool management method, and a computer-readable recording medium on which a tool management program is recorded, in which a more optimal tool can be selected and the status of the selection can be easily grasped. And

[0006]

In order to achieve the above object, a tool management system according to the present invention has the following configuration.

That is, a first storage means for storing data relating to a used tool, a second storage means for storing actual data of the used tool, and the first and second storage means for every predetermined time. An ability data calculating means for calculating ability data of a tool for machining a similar machining location using the data stored in the storage means, and the first ability data based on the ability data obtained by the ability data calculating means. From storage means,
Selecting means for selecting a substitute tool for the tool in use,
It is characterized by having.

[0008] For example, the ability data calculating means includes:
The ability data storage means for sequentially storing the ability data calculated, the selecting means, based on the ability data calculated this time by the ability data calculation means, and the previous ability data stored in the ability data storage means, A substitute tool for the tool in use is selected from the first storage means.

Alternatively, first storage means for storing data relating to a tool in use, second storage means for storing data relating to a tool of a new product, and storage in the first and second storage means. Comparing means for comparing data relating to the tool with a predetermined value set in advance for each predetermined use condition, and comparing the results of the comparison with the comparing means, the tool stored in the first and second storage means is used. And selecting means for selecting a tool having the largest number of data within a range of a predetermined value set in advance for each of the predetermined use conditions as a substitute tool.

With these configurations, it is easy to select a more optimal tool. Also, in any of the above configurations,
Preferably, there is provided display means for displaying data on the substitute tool selected by the selection means together with data on the currently used tool, and the display means may be capable of inputting the switching schedule of the substitute tool.

Alternatively, in order to achieve the above object, a tool management method according to the present invention has the following features.

That is, a first storage step of storing data relating to a used tool in a first database, and a second storage step of storing actual data of the used tool in a second database. The first and the second at predetermined time intervals.
Using the data stored in the database of, the ability data calculation step of calculating the ability data of a tool for machining a similar machining location, based on the calculated ability data,
Selecting a substitute tool for the tool in use from the first database.

Alternatively, a first storage step of storing data relating to a tool in use in a first database, a second storage step of storing data relating to a tool of a new product in a second database, A comparison step of comparing the tool data stored in the first and second databases with a predetermined value set in advance for each predetermined use condition, and as a result of the comparison, the first and second databases are compared. And selecting a tool having the largest number of data having a data within a range of a predetermined value set in advance for each of the predetermined use conditions as a substitute tool. Features.

With these configurations, a more optimal tool can be easily selected.

[0015]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a tool management system for managing a cutting tool, which is a typical tool, will be described below in detail with reference to the drawings. First, the overall configuration of the tool management system will be described with reference to FIGS.

FIG. 1 is a diagram showing the overall configuration of a tool management system as one embodiment of the present invention. FIG.
FIG. 3 is a diagram showing an arrangement of personal computers in each department in the tool management system as one embodiment of the present invention.

In FIG. 1 and FIG. 2, reference numeral 100 denotes a cutting tool examination section for examining the performance of cutting tools in use and comparing and comparing new cutting tools. Reference numeral 400 denotes a production factory that performs cutting and the like using a machine tool to which a cutting tool is attached. In the present embodiment, a production and assembly line for a vehicle is assumed. 500 is
This is a cutting tool polishing (hereinafter referred to as “knife polishing”) factory in which a cutting tool used in the production factory 400 is regenerated by polishing, and actual data on the cutting tool is input. Reference numeral 200 denotes a blade management section that performs inventory management and delivery of blades and the like, and issues an order to the procurement section 600. Reference numeral 300 denotes a warehouse in which new stocks of blades and blades that have been polished at the blade laboratory 500 are accumulated. Reference numeral 600 denotes a procurement department that orders cutting tools and the like designated by the cutting tool management section 200 through a public line or issues an order slip to an external contractor.

Each department shown in FIG. 1 has a personal computer (hereinafter referred to as a P / C) 2 as shown in FIG.
0, which is located on the premises LAN 30 such as Ethernet.
Can communicate with each other. Here, the hardware of the P / C 20 arranged in each section will be described with reference to FIG.

FIG. 3 is a block diagram of a personal computer according to an embodiment of the present invention.

In the figure, reference numeral 22 denotes a display such as a CRT,
Reference numeral 3 denotes a keyboard as input means; 24, a ROM for storing a boot program and the like; 25, a RAM for temporarily storing various processing results; 26, a communication program with another P / C; A storage device such as a hard disk drive (HDD) for storing a program or the like for realizing the process, a communication interface 27 for communicating with another P / C 20 via a communication line 30, and a printer 28 for printing processing results and the like. is there. These components are connected via an internal bus 29, and the CPU 21 controls the entire P / C 20 according to a program stored in the storage device 26.

[0021]

[Processing of tool life prediction and order timing calculation] The processing of blade tool life prediction and order timing calculation processing in this embodiment will be described below.

<Cutting Tool Running Task> First, the cutting tool running (patrol) task performed between the departments shown in FIG. 1 will be described with reference to FIGS. 1, 4, and 5. FIG.

In the present embodiment, as for the blade, a cassette in which a plurality of blades having the same specifications are stored is treated as one unit, and the life management up to the disposal is also performed on a cassette basis. Here, the number of blades to be accommodated in one cassette is set to be somewhat larger than the number required at a time by a machine using the blades.

FIG. 4 is a view showing a schematic shape of a cassette as one embodiment of the present invention. As shown in the drawing, a plurality of cutting tools (not shown) are stored in the cassette 50, and an LC card 51 on which the use results of the cutting tools and the like are written is attached. A bar code cassette ID 52 is attached to the end face.

Here, the running path of the cassette 50 will be described. The cassette 50 discharged from the warehouse 300
Each cassette is delivered to a predetermined work area in a predetermined production factory 400. Then, after being used for processing a plurality of vehicles, they are collected in the blade laboratory 500 in cassette units. In the blade laboratory 500, the blades stored in the collected cassette 50 are updated by polishing. The polished blade is stored in the cassette 50, temporarily stored in the warehouse 300, and prepared for the next delivery to the production factory 400.

FIG. 5 is a view showing an LC card of a cassette as one embodiment of the present invention. As shown in the figure,
In the LC card 51, a management number (tool number), a name, a cassette number, a production line area name, a reference processing number, and a reference blade number (1) of the cutting tool in the cassette 50 are used.
The reference length for polishing at the second edge grinding) is entered in advance. Prior to the collection of the cassette 50 in the blade research factory 500, the worker of the production factory 400 writes the current number of processed pieces and the date on the LC card 51. Then, after polishing the cutting tools in the cassette 50, the worker in the upstream process of the cutting laboratory 500 has a blade cutting allowance (a portion of the blade edge removed by polishing the cutting tools) on the LC card 51, and a remaining blade polishing allowance (as an object). The length of the cutting tool when discarding the existing cutting tool). Also, the blades in the cassette may be missing due to breakage,
If any cutting tools are to be discarded, indicate so. In addition, prior to sending to the warehouse 300, the worker in the downstream process of the blade research factory 500 refers to the LC card 51 and sends out the date and time of the processing using the single blade tool in the cassette. Information such as the blade removal allowance and the remaining blade removal allowance is input using the barcode reader 60 and the P / C 20. These information are stored in a database (D / B-
C). When the scrapping of the blades in the cassette is input at the blade laboratory 500, an instruction for replenishment is given by the blade management section 200, and the cassette in which a plurality of new blades of the same specification are stored is provided for running. All the cutting tools stored in the cassettes to be discarded are discarded. Also, due to some cause in the production factory 400, for example, a work positioning error or a machine tool defect,
Even when a plurality of blades in the same cassette are suddenly missing, a cassette containing new blades of the same specifications is delivered to the warehouse. In the present embodiment, the number of blades derived from the replacement of blades in the cassette caused by such a shortage, that is, the number of blades to configure the cassette is small, but the number of blades is short before being discarded. Unused cutting tools are excluded from quantity management for order processing described later.

<Estimation of Tool Life and Calculation of Ordering Time> Next, FIGS. 6 to 8 show processing of predicting the life of the cutting tool and calculating the ordering time performed by the P / C 20 installed in the cutting tool management section 200. It will be described with reference to FIG. The following process
The process is performed using the information of each item input at the blade research factory 500 with reference to the LC card 51 and the information of the monthly production plan (the number of planned production) input in advance.

FIG. 6 is a flow chart showing the outline of the processing for estimating the life of the cutting tool and calculating the order timing as an embodiment of the present invention.

In the figure, in step S1, the planned date of disposal of the currently targeted cutting tool is calculated.

In step S2, the expected date of ordering a new tool is calculated from equation (1) based on the estimated scrapping date of the cutting tool calculated in step S1 and the delivery lead time of the cutting tool having the same specification.

(Scheduled date of ordering a new product) = (Scheduled date of disposal of cutting tool) − (Lead time until delivery) (1) In step S3, the next time the cutting tool currently targeted is used. Calculate the expected date of blade research.

In step S4, the planned new date calculated in step S2 is compared with the next scheduled blade polishing date calculated in step S3 to determine whether to consider the order. At this time, (Scheduled date of new order) <
If (the next scheduled date of blade research), the process proceeds to step S5 to consider ordering. Also, (Scheduled date of new order) ≧
If it is (the next scheduled date of blade research), we will suspend the order this time.

Here, the details of the processing in steps S1 and S3 will be described with reference to FIGS. 7 and 8, respectively.

FIG. 7 is a flowchart showing the processing for calculating the expected date of disposal of the cutting tool according to an embodiment of the present invention, and shows the details of the processing in step S1.

In the figure, in step S11, the total number (total number of workable units) in which a plurality of cutting tools stored in the cassette can be processed before disposal is calculated. Here, as described above, the life of a plurality of blade tools (M pieces) stored in the same cassette is basically the same.

First, the average actual number of processed blades in one cassette in the target cassette by one edge grinding (average actual number of processed per blade) is calculated by the equation (2). Here, the number of processes is information written on the LC card 51. Note that the average number of actual processed pieces per blade may be used with reference to a database (D / B-C) described later.

(Average number of processed units per unit) = Σ (number of processed units) / (number of added data items) (2) Next, the cassette concerned is calculated according to equation (3). Calculate the total number of machines that can be processed. Here, K (1 in the present embodiment) is a correction coefficient.

(Total number of workable units per cassette) = ((remaining blade grinding allowance) / (reference blade grinding allowance) + K) × (average actual machined number per blade tool) × M (3) Next, in step S12, the expected disposal date of the plurality of blades stored in the cassette is calculated by equation (4).

(Available number of units at the end of the month) = (Total number of units that can be processed) − (Remaining number of units that can be produced at the end of the next month), (Available number of units at the end of the next month) = (Remaining number of units that can be produced at the end of the month) − ( (Scheduled production volume), (Available production volume at the end of the following month) = (Remaining production volume at the end of the next month)-(Scheduled production volume at the end of next month), ... (Available production volume at the end of N month) = (( N-1) Remaining production volume at the end of the month)-(Scheduled production volume at the end of N), ... (4) Repeat this calculation to obtain the production volume at the end of the N month.
N month when ≦ 0 is the scheduled destruction month. For example,
If the total number of units that can be processed is 220 units, the number of units scheduled to be produced in each month from January to March is 100 units, and the number of units that will be produced in the current month when the cassettes are collected is 10 units, (as of the end of January) (Available number at the end of February): 180 = 220-40, (Available number at the end of February): 80 = 180-100, (Available number at the end of March): -20 = 80-100. Month.

Then, by calculating the scheduled retirement year from the calculated period between N months and the current month, the scheduled retirement date can be calculated.

Next, in step S13, the expected disposal date of the plurality of blades stored in the cassette is calculated by equation (5).

(Scheduled disposal date) = ((producable number in the month before the scheduled disposal date) / (planned production number in the scheduled removal date)) × (days in the scheduled disposal month) 5) For example, in the example of the above step S12, since the scheduled destruction month reaches March 31, the scheduled destruction date is (scheduled retirement date) = 80/100 × 31 = 24.8. $ 25
(Day).

Next, in step S14, the expected disposal date of the plurality of blades stored in the cassette is calculated by the equation (6).

(Scheduled retirement date) = (Scheduled retirement date) + (Scheduled retirement date) (6) Therefore, in the above example of step S12 and step S13, the retirement schedule The date is March 25.

FIG. 8 is a flow chart showing a process of calculating the next scheduled date of blade grinding as one embodiment of the present invention, and shows the details of the process of step S3.

In the figure, in step S31, the total number of blades that can be processed by the next blade sharpening (the number that can be processed this time) is set by the equation (7).

(The number of machines that can be processed this time) = (the average number of machines that can be machined per machine) × M (7) Next, in step S 32, in the cassette concerned, Calculate the scheduled date of the next blade cutting for the multiple tools stored.

(Number of workable units at the end of this month) = (Number of workable units at this time) − (Number of remaining production units at the end of this month), (Number of workable units at the end of next month) = (Number of remaining workable units at the end of this month) − (Next month) (The number of machines that can be machined at the end of the next month) = (the number of machines that can be machined at the end of the next month)-(the number of machines that can be machined at the end of the next month) ... (the number of machines that can be machined at the end of the next month) = ( (N-1) Number of remaining machines that can be processed at the end of the month)-(Number of machines to be manufactured in the month of N), ... (8) This calculation is repeated to obtain the number of machines that can be processed at the end of the month.
N month when ≤ 0 is the scheduled month of next blade research. Then, if the expected year of the blade grinding is calculated from the calculated period between the N month and the current month, the scheduled year of the blade grinding can be calculated.

Next, in step S33, the expected cutting date of the plurality of cutting tools stored in the cassette is calculated by equation (9).

(Scheduled blade cutting date) = ((number of machines that can be processed in the month before the next scheduled blade grinding date) / (planned number of production in scheduled blade cutting year / month)) × (number of days of scheduled scrapping month) 9) Next, in step S34, the next scheduled cutting date of the plurality of cutting tools stored in the cassette is calculated by equation (10).

(Next blade cutting date) = (Next blade cutting scheduled date) + (Scheduled blade polishing date) (10) <Ordering support process> Next, the ordering support process in step S5 in FIG. This will be described with reference to FIGS.

FIG. 9 is a diagram showing the display logic of the screen in the order support processing as one embodiment of the present invention.
FIG. 10 is a diagram showing the content of a display message according to one embodiment of the present invention.

In the order support processing, a screen as a man-machine interface is displayed by the display logic shown in FIG. Note that the processing shown in FIG. 9 is performed for each of the currently used cutting tools.

In FIG. 9, in step S51, it is calculated whether or not it is necessary to place an order for the target cutting tool.

The calculation method is as follows: order quantity HS = (predicted use amount)
This is performed by calculating (the number of stocks)-(the number of backlogs).

Here, the number of stocks refers to new spares stored in the warehouse 300 and blade tools regenerated by sharpening at the sharpening factory 500. The backlog number is the number of blades that have been ordered but are waiting to be delivered. The predicted use amount of the cutting tool is a value calculated based on the planned number of productions and the actual use data of the cutting tool.

If the order number HS> 0, it is determined that the cutting tool is “out of stock”, and if HS ≦ 0, it is determined that the cutting tool is “in stock” and the order number is present.

In step S52, since "there is an order number" in step S51, it is searched whether or not the cutting tool is registered in tool survey (TS) data described later. In addition, although details will be described later, information such as a substitute for the cutting tool is registered in the TS data. As a result of search, T
If the S data does not exist, the cutting tool is displayed as “automatic ordering” of pattern 0. In addition, TS data includes
It is possible to register information on a plurality of substitutes and the like for one blade, and when (TS data)> 0, the blade is displayed as “TS hold” of pattern 0 ′.

In step S53, since there is no order number in step S51, the cutting tool is displayed as "0 pending" in pattern 9, and it is searched whether or not it is registered in the TS data. If (TS data)> 0 as a result of the search, the relevant cutting tool is displayed as “TS hold” of pattern 0 ′.

In step S54, as a result of the search in step S53, if there is no TS data, it is determined whether or not the above-mentioned missing item KP exists, and if there is no missing item, the process proceeds to step S56. If KP> 0, the process proceeds to step S55.

In step S55, it is determined whether or not there is a back order CZ. If there is no back order, the blade is displayed as "order!" On the other hand, when the backlog CZ> 0, the cutting tool is displayed as “Dunning!” Of the pattern 2.

In the management section KK in step S56, if the number of times the blade tool has been ejected in the predetermined period is larger than the predetermined number, it is classified as "F section" and the process proceeds to step S57.

In step S57, the stock number Z of the cutting tool is determined.
It is determined whether or not K is smaller than the safety stock number AZ. On the other hand, if it is larger than the safety stock quantity AZ, there is no need to issue the order this time, and the process ends.

In step S59, since it is determined in step S57 that the stock quantity ZK of the cutting tool is smaller than the safety stock quantity AZ, it is determined whether or not there is a back order CZ. Is displayed as "Order?" On the other hand, if the backlog CZ> 0, the cutting tool is displayed as “Dunning?” In pattern 4.

In step S58, since it is determined in step S56 that the number of times the blade tool has been ejected in the predetermined period is smaller than the predetermined number, the stock number ZK is confirmed. If the stock quantity is larger than 0, there is no need to issue the order this time, and the process ends.

In step S60, the same processing as in step S59 is performed according to the stock quantity ZK.

FIGS. 11 to 13 are views showing screen display examples of the automatic order processing according to an embodiment of the present invention. Each screen displays a plurality of cutting tools managed by the tool number. I have. In the fields of “order NG” in FIG. 11 and FIG.
The status display of suspension and dunning is made. Further, in the upper half of the screen, by selecting one of the displayed blade tools with a cursor key (not shown), detailed information of the selected blade tool is displayed. Clicking the “order data confirmation” field on these screens displays the automatic order confirmation screen shown in FIG. The cutting tool of the tool number displayed on this confirmation screen is ordered to an external contractor via the P / C 20 of the procurement department 600 when the operator clicks on the “final order” column.

As described above, the cutting tool is used at the blade mill 50.
By predicting the life of the blade each time it is collected to 0,
Not only the cutting tools in stock in the warehouse 300 as a new spare but also the running cutting tools having various life spans can be accurately managed. As a result, it is possible to accurately predict the order quantity and the order time of the necessary new cutting tools, so that appropriate order support can be performed.

Also, when predicting the life of the cutting tool, the P / C 20 calculates the scheduled cutting date and the planned disposal date by using the same cutting tool used in the same place in a cassette unit instead of a single cutting unit. In this case, the amount of calculation (calculation load) can be reduced, and the amount of data stored in D / BA and D / BC can be reduced.

[0070]

[Cutting Tool Examination Support Processing] The cutting tool examination processing performed by the cutting tool examination support system 110 of the cutting tool examination section 100 will be described below. The cutting tool study section 100 manages the actual information of the cutting tools in use sent from the above-mentioned cutting laboratory 500, and investigates and registers information on cutting tools of new products (substitutes). The cutting tool examination support system 110 performs a support process for determining whether to switch from the current cutting tool to a new cutting tool based on the information. The TS screen is used for this support processing.

FIG. 14 is a diagram showing a display example of a tool survey screen as one embodiment of the present invention. In the tool survey screen shown in the figure, one screen shows one blade tool, and is managed by “cause number”. “Line No.” is the number of the production line in the production factory 400. The “process” is the number of a work process in the production line of the line No. The column of "Current tool"
Currently, the specifications (specifications) of the cutting tools (tool tools) used in the work process of the production line are registered. In the column of “consideration tool”, when there is a replacement candidate cutting tool currently used (current tool), the specification of the cutting tool is registered. In the columns of “improvement item” and “purpose”, a code indicating from which viewpoint the cutting tool registered as the examination tool is selected with respect to the current tool is registered. The column of “execution plan” at the bottom of the screen will be described later.

FIG. 15 is a diagram showing a data flow in the cutting tool examination support processing as one embodiment of the present invention.
2 shows a configuration of software performed by a P / C 20 of the blade tool examination support system 110. Four databases (D / B) are used for the blade tool examination support processing in FIG.
First, the four D / Bs will be described.

FIG. 17 is a diagram showing a database (D / B-) storing information on a cutting tool in use as an embodiment of the present invention.
FIG. As shown in the figure, D / BA uses, as a key, a tool number, which is an identification number of a cutting tool, as a key, cutting tool information on the material and shape of the cutting tool, process information on a work process in which the cutting tool is used, Cutting condition information and the like are registered in advance. In this D / BA, information on a plurality of cutting tools is registered using a tool number as a key. Therefore, even if cutting tools of the same specification (model) are used, if different tool information is used, that is, different tools are used. There are multiple tool numbers.

FIG. 18 shows a database (D / B-) in which cutting tool information of a new product as one embodiment of the present invention is stored.
FIG. 4B is a diagram showing B / A, in which items other than process information are D / BA;
Items similar to the above are registered for new products. In this case, the catalog specification of the maker is registered in the cutting condition information. The data in the D / B-B is input by the operator of the cutting tool research department 100 using the new product information input module M1.

FIG. 19 is a diagram showing a database (D / D) storing the actual information of the cutting tools in use as one embodiment of the present invention.
It is a figure which shows BC. As shown in FIG.
In C, using the tool number, which is the identification number of the blade, as a key, the number of deliveries of the blade (the number of warehouses that exited the warehouse within a predetermined period)
Usage information, such as the number of blades that can be processed by a single edge grinding and the number of blades that can be processed by a single blade grinding, and the actual number of production information such as the number of blade grindings that can be processed before disposal. You.
In this D / BC, the information of the LC card 51 input at the above-mentioned blade laboratory 500 is automatically registered by the blade performance record registration module M2.

In FIG. 15, the tool performance calculating module M3 compares D / BA and D / BC every predetermined period, and calculates the performance data shown in (a) to (c) of FIG. Then, the data is registered in D / BD (the oldest data in D / BD is deleted).

FIG. 20 shows a database (D / D) in which the ability information of a cutting tool in use as one embodiment of the present invention is stored.
It is a figure which shows the information stored in BD). In the figure,
(A) is the cost comparison data of the cutting tools used in similar processing places of different vehicle types (vehicle type A to vehicle type H). (B) is life data of a cutting tool used in a similar processing location of a different vehicle type. (C)
Is correlation data of the tool life at similar processing locations.

In FIGS. 20A to 20C, the cutting tool indicated as [current best] is recognized in the system as the currently best cutting tool, and is the cutting tool currently used on the site side. .

The tool performance comparison module M4 compares the tool actual data newly registered in the tool actual calculation module M3 with the tool actual data of the same tool previously registered in D / BD. Then, for each cutting tool (processing portion), a cutting tool whose current data is worse than the previous data by more than a predetermined value registered in advance is extracted. Here, for example, in the case of the cutting tool (B) in the cost comparison (a) in FIG. 20, the value is increased by a predetermined value or more from the previous 0.8 (yen / unit), and the cost is high. Say when it becomes. As a result of the comparison / extraction process, the actual data of the cutting tool currently registered as the current vest is deteriorated, and if the result data is no longer the best value, the best (for example, low-cost) cutting tool at this time is registered as the current vest. I do.

Alternatively, as another method in the blade performance comparison module M4, the present data is compared with the data of the currently registered current best blade, and a blade having a difference equal to or more than a predetermined value registered in advance is determined. Extract. This comparison
By the extraction process, among the plurality of blades currently registered in D / BD, the blade with the best condition (best blade)
And the worst blade tool (worst wedge tool) are extracted.

The failure cause input module M5 is a module used to input the tool number of the blade when the operator can specify the blade causing the damage or the like at the site.

In the partial specification change module M6,
The data of the best cutting tool and the data of the worst cutting tool are compared for each item of the cutting condition information, and for an item having a difference equal to or more than a predetermined value set in advance for each item, the data of the worst cutting tool is changed to the best cutting tool. Change the data to If a faulty tool is input in the failure cause input module M5, the tool is directly set as the worst tool. Here, the data of the items to be changed include the number of revolutions and the speed during cutting. In this module M6, D / B-
When changing to another tool in A, it is registered as a TS data review tool. Also, when only the use condition of the currently used cutting tool is changed, it is treated as a new different cutting tool in the processing by the P / C 20 and registered as a TS data review tool. Then, a test is actually performed using the examination tool (M7).

If the result of this test is OK, the registration / update module M12 updates the cutting tool from the examination tool to the current tool and also updates the data in the D / B-A. The cutting tool ordered by the above-mentioned order support processing is newly used as a current tool after this updating processing.
It becomes a cutting tool registered in A. On the other hand, if the result of the test is NG, cutting condition information is obtained for a plurality of cutting tools used in similar machining places of different vehicle types in D / BD by the change module M8 between the cutting tools in use. It is determined whether the data of each item is within a range of a predetermined value set in advance for each item. And
Based on the judgment, the tool having the most items in the range of the predetermined value is selected as the examination tool.

The selected cutting tool is registered as a TS data examination tool, and an actual test is performed using the examination tool (M9). If the result of the test is OK, the above processing is performed by the registration update module M12. On the other hand, if the result of the test is NG, the data on each item of the cutting condition information for the cutting tool information of the new cutting tool in D / BB is obtained by the comparison module M10 for comparing the cutting tool information of the new product with the predetermined value. Is selected in the range of the predetermined value of the item, and the blade having the most items in the range of the predetermined value is selected. At this time, if there is no new product to be compared, there is no more choice, and the cutting tool currently used is continued to be used.

When an appropriate cutting tool can be selected from the new products in the D / BB, the cutting tool is registered as a TS data examination tool, and an actual test is actually performed using the examination tool (M11). ). If the result of the test is OK, the above processing is performed by the registration update module M12. In this case, the data on the cutting tool is changed from D / BB to D / B.
Change registration to -A. On the other hand, if the result of the test is NG, the design of the workpiece to be machined is changed because there is no more option.

Here, the operator of the cutting tool examination section 100 inputs the test results in each of the above phases, the scheduled execution date, and the like in the “execution plan” column at the bottom of the TS screen each time. In addition, in the order support processing described above, when TS data is present in the cutting tool, a TS screen is displayed. Therefore, when examining an order for the cutting tool, the operator of the cutting tool management department 200 considers the replacement candidate of the cutting tool. It is possible to recognize what the examiner tool is and what kind of situation it is (whether an alternative is to be implemented, whether to cancel, etc.).

The timing of performing the above-described processing may be determined when a new tool is registered in the D / BB or when a defect occurs intermittently in a specific process of the production line. This may be performed when it is assumed that the cutting tool is used.

FIG. 16 is a diagram showing a data flow in the cutting tool examination support processing as a modification of one embodiment of the present invention, and shows a software configuration performed by the P / C 20 of the cutting tool examination support system 110. ing. In the present modification, unlike the case of FIG. 15, the D / B-A blade tool and the D / BB-blade tool are compared by the comparison module M21.

In the comparison module M21, the data of each item of the cutting condition information of the cutting tool of the new product in the D / B-B is used for the cutting tool in use in the D / B-A. Determine if it is in the range of values. Then, the cutting tool having the largest number of items in the range of the predetermined value is selected as the examination tool.

When a suitable cutting tool (examination tool) can be selected for the currently used cutting tool by the comparison module M21, the cutting tool is registered as a TS data examination tool,
An actual test is actually performed using the examination tool (M2
2). If the result of the test is OK, the same processing as in the case of FIG. 15 is performed by the registration update module M23. In this case, if the selected cutting tool is a new product, the registration of the data on the cutting tool is changed from D / BB to D / BA. On the other hand, if the result of the test is NG, there is no more option, and the use of the currently used cutting tool is continued.

As described above, the information on the cutting tools in use obtained from the blade research factory 500 is accumulated by the D / B-A, and is compared with the information on the new products accumulated in the D / B-B. It is now possible to automatically select an alternative blade tool that is preferable to the currently used blade tool. Thereby, even if it is not a veteran worker, an alternative blade tool can be easily selected. Also, if there is an alternative blade, the TS screen (Fig. 1
The information to that effect is displayed in 4). Thereby, the operation person in charge of the cutting tool management section 200 can grasp the examination situation of the current alternative cutting tool before ordering the current cutting tool, thereby minimizing the influence on the work on the site side and the ordering work, Switching (replacement) to a more preferable cutting tool can be smoothly performed.

The scope of the present invention includes a computer-readable storage medium such as a memory or a floppy disk storing the software in the above-described embodiment, which controls the hardware of the P / C 20 (FIG. 3). Needless to say,

[0093]

As described above, according to the present invention,
It is possible to provide a tool management system, a tool management method, and a computer-readable recording medium on which a tool management program is recorded, in which a more optimal tool can be selected and the selection status can be easily grasped.

That is, based on the accumulated information on the used tool and the information on the new product, a substitute tool can be easily selected even by a non-expert operator. Information display system. As a result, it is possible to grasp the current status of the examination of the replacement tool before ordering the current tool, thereby minimizing the effect on the work on the site side and the work of ordering, and switching to a more preferable tool (replacement work). Can be performed smoothly.

[0095]

[Brief description of the drawings]

FIG. 1 is a diagram showing an overall configuration of a tool management system as one embodiment of the present invention.

FIG. 2 is a diagram showing an arrangement of personal computers in each department in a tool management system as one embodiment of the present invention.

FIG. 3 is a block diagram of a personal computer as one embodiment of the present invention.

FIG. 4 is a diagram showing a schematic shape of a cassette as one embodiment of the present invention.

FIG. 5 is a view showing an LC card of a cassette as one embodiment of the present invention.

FIG. 6 is a flowchart illustrating an outline of a process of estimating the life of a cutting tool and calculating an order time according to an embodiment of the present invention.

FIG. 7 is a flowchart illustrating a process of calculating a scheduled disposal date of a cutting tool according to an embodiment of the present invention.

FIG. 8 is a flowchart showing a process of calculating the next scheduled date of blade polishing as one embodiment of the present invention.

FIG. 9 is a diagram showing a screen display logic in the order support processing as one embodiment of the present invention.

FIG. 10 is a diagram showing contents represented by a display message as one embodiment of the present invention.

FIG. 11 is a diagram showing a screen display example of an automatic ordering process as one embodiment of the present invention.

FIG. 12 is a diagram showing a screen display example of an automatic ordering process as one embodiment of the present invention.

FIG. 13 is a diagram showing a screen display example of an automatic ordering process as one embodiment of the present invention.

FIG. 14 is a diagram showing a display example of a tool survey screen as one embodiment of the present invention.

FIG. 15 is a diagram showing a data flow in the blade tool examination support processing as one embodiment of the present invention.

FIG. 16 is a diagram showing a data flow in a cutting tool examination support process as a modification of the embodiment of the present invention.

FIG. 17 is a diagram showing a database (D / B-A) in which cutting tool information in use is stored as one embodiment of the present invention.

FIG. 18 is a diagram showing a database (D / BB) in which cutting tool information of a new product as one embodiment of the present invention is stored.

FIG. 19 is a diagram showing a database (D / B-C) in which actual information of blade tools in use as one embodiment of the present invention is stored.

FIG. 20 is a diagram showing information stored in a database (D / BD) in which ability information of a cutting tool in use as one embodiment of the present invention is stored.

[Explanation of symbols]

 Reference Signs List 20 personal computer (P / C), 21 CPU, 22 display, 23 keyboard, 24 ROM, 25 RAM, 26 storage device, 27 communication interface, 28 printer, 29 internal bus, 30 premises LAN, 100 cutting tool study section, 200 cutting tools Management department, 300 warehouses, 400 production factories, 500 Haken factories, 600 procurement departments,

Claims (15)

[Claims] A first storage unit for storing data relating to an in-use tool; a second storage unit for storing actual data of the in-use tool; and the first and second units at predetermined time intervals. An ability data calculating means for calculating the ability data of a tool for machining a similar machining location using the data stored in the storage means; and the first ability data based on the ability data obtained by the ability data calculating means. Selecting means for selecting a substitute tool for the tool in use from a storage means. 2. The ability data calculating means includes ability data storage means for sequentially storing the calculated ability data, and the selecting means includes the ability data currently calculated by the ability data calculating means, and the ability data storing means. 2. The tool management system according to claim 1, wherein a substitute tool for the tool in use is selected from the first storage unit based on the previous ability data stored in the tool management system. 3. 3. The ability data calculation means can identify the best tool for each predetermined evaluation item among the ability data of a plurality of tools stored in the ability data storage means, As a result of comparing the current ability data with the previous ability data, the selection means has determined that the tool currently recognized as the best tool is worse than a predetermined value in any of the predetermined evaluation items. 3. The tool management system according to claim 2, wherein when the tool is present, the best tool is changed to another tool, and the alternative tool is selected based on the data of the tool. 4. The comparing means includes comparing means for comparing data on a tool in use stored in the first storage means with a predetermined value set in advance for each predetermined use condition. As a result of the comparison by means, among the tools in use, a tool having the largest number of data having a data within a predetermined value range set in advance for each of the predetermined use conditions is selected as a substitute tool. The tool management system according to claim 1, wherein 5. A storage device for storing data relating to a tool of a new product, wherein the selection unit selects a substitute tool for the tool in use from the first or third storage unit. The tool management system according to claim 1, wherein the tool management system performs the tool management. 6. The method according to claim 3, wherein the predetermined evaluation items are cost comparison data and life data of the tool in use, and life inter-phase data between tools for processing the similar processing location. Tool management system as described. 7. A first storage means for storing data on a tool in use, a second storage means for storing data on a tool of a new product, and a first storage means for storing data in the first and second storage means. Comparing means for comparing the data relating to the tool with a predetermined value set in advance for each predetermined use condition. As a result of comparison by the comparing means, among the tools stored in the first and second storage means, And a selecting means for selecting a tool having the largest number of data within a range of a predetermined value set in advance for each of the predetermined use conditions as a substitute tool. 8. The tool management system according to claim 1, wherein the predetermined use condition is machining condition data when the machining target is cut by the tool. 9. A display unit for displaying data on a substitute tool selected by the selection unit together with data on a currently used tool, the display unit comprising:
The tool management system according to any one of claims 1 to 8, wherein a change schedule of the replacement tool can be input. 10. Data relating to a tool in use is stored in a first
A first storage step of storing the actual data of the tool in use in a second database; and a first storage step of storing the actual data of the tool in use in a second database at predetermined time intervals. An ability data calculating step of calculating the ability data of a tool for machining a similar machining location using the obtained data; and a replacement of the tool in use from the first database based on the calculated ability data. A tool selecting method for selecting a tool. 11. The method according to claim 11, further comprising a third storage step of storing data relating to the tool of the new product in a third database, wherein in the selecting step, the in-use data from the first or third database is stored. The tool management system according to claim 10, wherein a tool alternative to the tool is selected. 12. Data relating to a tool in use is stored in a first
A first storage step of storing in the database of the first product; a second storage step of storing data of the tool of the new product in the second database; and data of the tool stored in the first and second databases. Is compared with a predetermined value set in advance for each predetermined use condition. As a result of the comparison, among the tools stored in the first and second databases, Selecting a tool having the largest number of data within a range of a predetermined value set in advance as a substitute tool. 13. A computer-readable storage medium storing a program for performing tool management, wherein the storage medium allows the computer to store data relating to a tool in use; A second storage unit for storing the actual data of the tool, and using the data stored in the first and second storage units at predetermined time intervals, calculating the ability data of the tool for processing similar processing locations Based on the skill data obtained by the skill data calculation means, and as a selection means for selecting a substitute tool for the tool in use from the first storage means. Storage medium. 14. The storage medium further causes the computer to operate as third storage means for storing data relating to a tool of a new product, and wherein the selection means reads from the first or third storage means 14. The storage medium according to claim 13, wherein the storage medium is operated to select a substitute tool for the used tool. 15. A computer-readable storage medium storing a program for performing tool management, wherein the storage medium allows a computer to store data relating to a tool in use; Second storage means for storing data on the tool, comparison means for comparing the data on the tool stored in the first and second storage means with a predetermined value set in advance for each predetermined use condition, As a result of the comparison by the comparing means, among the tools stored in the first and second storage means, the number of data having a data within a predetermined value range set in advance for each of the predetermined use conditions is the highest. A storage medium characterized by operating as a selection means for selecting a large number of tools as alternative tools.