JPH1079599A - Packaging plant diagnostic system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize a packaging plant diagnostic system which is capable of making an optimal diagnosis for a packaging plant from practical evaluation by a method, wherein the diagnostic system equipped with a packaging cost examination algorithm and the like makes a diagnosis of a packaging plant from the current packaging cost, production capacity, lead time, and ideal model plan operation index. SOLUTION: A current packaging cost and a model packaging cost are compared with each other by the use of a mounting cost data base 2, a packaging cost examination algorithm 5, and a model operation index data base 4 to evaluate a packaging cost. A current production capacity and a model production capacity are compared with each other by the use of a machine characteristic data base 4, a production capacity examination algorithm 6, and a model plant operation index data base 4 to evaluate the production capacity. Furthermore, the current production lead time and model production lead time are compared with each other by the use of a production lead time examination algorithm 7 and model plant operation index data base 4 for evaluating the production lead times.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mounting factory diagnosis system for diagnosing a mounting factory for mounting components on a board.

[0002]

2. Description of the Related Art A conventional method for diagnosing a mounting factory will be described with reference to FIG. As shown in FIG. 9, the diagnosis of the mounting factory is performed by comparing the actual value or the trial calculation result of the mounting cost, the production capacity, and the production lead time of the factory with the previous value,
The decision was made based on the intuition and experience of the section manager.

At that time, the actual value of the mounting cost was calculated by apportioning the actual value of the entire mounting factory into equipment costs, material costs, personnel costs, and expenses. Estimation of the mounting cost has been performed by multiplying the standard mounting cost by a total number of mounting points, from standard and easy-to-mount square chip components to odd-shaped and difficult to mount QFPs and connectors.

[0004] Estimation of production capacity is based on past actual values,
Alternatively, the product obtained by multiplying the standard mounting tact set for all of the above different mounting components by the total number of mounting points is, originally, a mounting target component, and a mounting capability that can fluctuate due to machine productivity with respect to mounting difficulty. The standard is the machine standard mounting capability, and this is divided by this machine standard mounting capability.

[0005] The production lead time has been calculated as an average of the actual values of the mounting factories.

[0006]

However, in the above-mentioned conventional method, first, in the diagnosis based on the actual value, when the production mode changes greatly, for example, when a new mounting method is adopted or when the work mode changes. Includes implementation costs,
The actual value of the production lead time changes greatly, and it is difficult to compare with the previous value. In addition, in the estimation of mounting cost, since all parts were estimated at the same standard mounting cost,
There is a problem that accuracy is poor and diagnosis accuracy is also poor. Further, in the trial calculation of the production capacity, there is a problem that the accuracy is poor due to the calculation of all the components using the same standard mounting tact, and the accuracy of the diagnosis is poor.

In the production lead time diagnosis, there is a problem that accuracy is poor because the production lead time is diagnosed in the same row irrespective of the mounting method and the mounting difficulty (mounting density, production lot scale, etc.).

In view of the above-mentioned conventional problems, the present invention provides an optimal mounting factory based on an accurate mounting cost calculation value, a production capacity calculation value, and an evaluation value based on a lead time calculation value in accordance with the actual situation of the mounting factory. The purpose is to provide a mounting factory diagnosis system that enables diagnosis.

[0009]

SUMMARY OF THE INVENTION A mounting factory diagnosis system according to the present invention comprises a mounting cost database, a machine characteristic database, a model factory management index database, a mounting cost study algorithm, a production capacity study algorithm, and a lead time study algorithm. Algorithms are used to perform mounting factory diagnosis based on the current mounting cost, production capacity, lead time, and ideal model factory management index, so that accurate mounting factory diagnosis can be obtained in a short time. .

[0010]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a mounting factory diagnosis system according to the present invention will be described below with reference to FIGS.

In a mounting factory, the state of the cost of the mounting factory is always grasped and evaluated by an appropriate index. If there is a problem such as an excessive cost, an improvement measure is taken. There is a problem that must be hit. In addition, there is a problem that it is necessary to grasp the state of the production capacity of the mounting factory, perform evaluation using an appropriate index, and take an improvement measure for a problematic part.

On the other hand, as shown in FIG. 1, by inputting data such as an outline of a mounting factory, an outline of a production board, an outline of a production condition, and a current data lead time to the mounting factory diagnosis system 1, a mounting cost diagnosis result is obtained. It is configured to output a production capacity diagnosis result and a lead time diagnosis result.

The mounting factory diagnosis system 1 includes a mounting cost database 2 as shown in FIG. 2, a machine characteristic database 3 as shown in FIG. 3, a model factory management index database 4 as shown in FIG. 6, a production capacity study algorithm 6 shown in FIG. 6, and a lead time study algorithm 7.

At the time of diagnosing the mounting factory, first, the mounting cost database 2 shown in FIG. 2, the mounting cost study algorithm 5 shown in FIG. 5, and the model factory management index database 4 shown in FIG. And the implementation cost as a model, and evaluate the implementation cost.

Further, a machine characteristic database 4 shown in FIG. 3, a production capacity examination algorithm 6 shown in FIG.
By using the model factory management index database 4 shown in (1), the current production capacity is compared with the model production capacity to evaluate the production capacity.

Further, using the production lead time study algorithm 7 shown in FIG. 7 and the model factory management index database 4 shown in FIG. 4, the current production lead time is compared with the model production lead time, and the production lead time is compared. Evaluate the time.

[0017] From these evaluation results, it is possible to accurately and easily clarify and grasp points that the mounting factory is inferior to the ideal factory management index, and to improve the mounting factory accurately. . Further, since it is possible to obtain a diagnosis result immediately when it is desired to perform a diagnosis, it is possible to minimize the loss that occurs before taking measures against the problem of the mounting factory. FIG. 8 shows a specific output example of the diagnosis result.

By adopting the above configuration, when a new construction method is developed or a new model index is required, the database and algorithm are appropriately added and improved to meet a new diagnosis request. Can be.

[0019]

According to the mounting factory diagnosis system of the present invention, as apparent from the above description, the mounting cost database, the machine characteristic database, the model factory management index database, the mounting cost examination algorithm,
Since it is equipped with a production capacity examination algorithm and a lead time examination algorithm, accurate mounting factory diagnosis can be performed based on accurate mounting factory diagnosis indexes related to current mounting costs, production capacity and lead time, and ideal model factory management indexes. This can be performed in a short time, and an effect that optimal mounting factory improvement can be performed can be obtained.

[Brief description of the drawings]

FIG. 1 is a block diagram showing the configuration of an embodiment of a mounting factory diagnosis and examination system of the present invention.

FIG. 2 is an explanatory diagram of a mounting cost database according to the embodiment;

FIG. 3 is an explanatory diagram of a machine characteristic database of the embodiment.

FIG. 4 is an explanatory diagram of a model factory management index database of the embodiment.

FIG. 5 is an explanatory diagram of an implementation cost study algorithm of the embodiment.

FIG. 6 is an explanatory diagram of a production capacity study algorithm of the embodiment.

FIG. 7 is an explanatory diagram of a lead time study algorithm of the embodiment.

FIG. 8 is an explanatory diagram of a diagnosis result output screen in the embodiment.

FIG. 9 is an explanatory diagram of a conventional mounting factory diagnosis method.

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 mounting factory diagnosis system 2 mounting cost database 3 machine characteristic database 4 model factory management index database 5 mounting cost study algorithm 6 production capacity study algorithm 7 lead time study algorithm

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Koichi Kanematsu 1006 Kazuma Kadoma, Kadoma City, Osaka Matsushita Electric Industrial Co., Ltd.

Claims (1)

[Claims] 1. A mounting cost database, a machine characteristic database, a model factory management index database,
It is equipped with an implementation cost study algorithm, a production capacity study algorithm, and a lead time study algorithm, and performs the implementation factory diagnosis based on the current implementation cost, production capacity, lead time, and ideal model factory management index. And mounting factory diagnostic system.