JP3634085B2 - Mounting factory diagnostic system - Google Patents

Description

[0001]
BACKGROUND 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]
[Prior art]
A method for diagnosing a conventional mounting factory will be described with reference to FIG. As shown in Fig. 9, a mounting factory is diagnosed by comparing the actual values of the factory's mounting cost, production capacity, production lead time, and trial calculation results with previous values, as well as judgment based on the section manager's intuition and experience. Has been done.
[0003]
The actual value of the mounting cost at that time was calculated by dividing the actual value of the entire mounting factory into the equipment cost, material cost, personnel cost, and expense. Further, the trial calculation of the mounting cost has been performed by multiplying the standard mounting cost by the total mounting points from standard and easy-to-mount square chip parts to irregularly shaped and difficult-to-mount QFPs and connectors.
[0004]
The production capacity is estimated by multiplying the past actual value or the standard mounting tact and the total number of mounting points set for all the above-mentioned different types of mounting parts. The mounting capability that can vary depending on machine productivity, etc., has been divided by the standard machine mounting capability.
[0005]
Moreover, the production lead time was calculated as an average value of the actual values of the mounting factory.
[0006]
[Problems to be solved by the invention]
However, in the conventional method described above, first, in the diagnosis based on the actual value, when the production mode changes greatly, for example, when the new mounting method is adopted or the working mode changes, the mounting cost, production lead time The actual value of is greatly changed and it is difficult to compare with the previous value. Moreover, in the trial calculation of the mounting cost, since all parts are calculated with the same standard mounting cost, there is a problem that accuracy is poor and diagnostic accuracy is also poor. Moreover, in the trial calculation of the production capacity, there is a problem that the accuracy is poor and the diagnosis accuracy is poor because all parts are calculated with the same standard mounting tact.
[0007]
Further, in the production lead time diagnosis, there is a problem that the production lead time is inaccurate because the production lead time is diagnosed in the same line regardless of the mounting method and the mounting difficulty (mounting density, production lot scale, etc.).
[0008]
In view of the above-mentioned conventional problems, the present invention enables an optimal mounting factory diagnosis from an accurate mounting cost calculation value, a production capacity calculation value, and an evaluation value according to the actual state of the mounting factory based on a lead time calculation value. The purpose is to provide a mounting factory diagnostic system.
[0009]
[Means for Solving the Problems]
The mounting factory diagnosis system of the present invention includes a mounting cost database in which data relating to component costs, equipment costs, and labor costs are recorded, a machine characteristic database in which data relating to machine capabilities are recorded, and a model in an ideal management state of an assumed factory. Model factory management index database that records part cost, model equipment cost, model labor cost, model production capacity, model lead time, and their total mounting cost and model calculated based on current part cost, equipment cost, labor cost Based on the implementation cost review algorithm that diagnoses the implementation cost based on the evaluation value based on the ratio to the implementation cost, and the ratio between the production capacity obtained from the total implementation tact calculated based on the current machine capacity and the model production capacity and the production capacity study algorithm for the diagnosis of production capacity in the evaluation value, status quo And a lead-time study algorithm for the diagnosis of lead time by the evaluation value based on the ratio of the production lead time and the model lead time, from the model plant management indicator for the current implementation cost and production capacity and lead-time and the ideal A mounting factory diagnosis is performed so that an accurate mounting factory diagnosis can be obtained in a short time.
[0013]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, an embodiment of a mounting factory diagnosis system of the present invention will be described with reference to FIGS.
[0014]
At the mounting factory, we always grasped what the cost of the mounting factory is, and evaluated it with appropriate indicators, and took improvement measures for problems such as excessive costs. There is a problem that must be. In addition, there is a problem that it is necessary to grasp what state the production capacity of the mounting factory is, evaluate it with an appropriate index, and to take improvement measures for the problematic part.
[0015]
On the other hand, as shown in FIG. 1, by inputting data such as a mounting factory overview, a production board overview, a production condition overview, and a current data lead time into the mounting factory diagnosis system 1, a mounting cost diagnosis result and a production capacity diagnosis are performed. The result and the lead time diagnosis result are output.
[0016]
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. The implementation cost review algorithm 5, the production capacity review algorithm 6 as shown in FIG. 6, and the lead time review algorithm 7 as shown in FIG. 7 are configured. As shown in FIG. 4, the model factory management index database 4 includes parts costs, equipment costs, labor costs, etc. corresponding to the product genre, factory scale, production mode, operation mode, mounting method, mounting density, etc. in various factories. The model value assumed to be achieved in an ideal factory management state, such as the mounting cost per point, the production capacity per day, and the lead time obtained from the above, is recorded and set empirically.
[0017]
When diagnosing a mounting factory, first, using the mounting cost database 2 shown in FIG. 2, the mounting cost examination algorithm 5 shown in FIG. 5, and the model factory management index database 4 shown in FIG. Compare the mounting cost and evaluate the mounting cost. As shown in FIG. 5, the mounting cost examination algorithm 5 includes the present total cost calculated based on the component cost, facility cost, and labor cost in the mounting cost database 2 and those models in the model factory management index database 4. The mounting cost is diagnosed with an evaluation value based on the ratio to the cost.
[0018]
Also, the current production capacity and the model production capacity are compared using the machine characteristic database 3 shown in FIG. 3, the production capacity examination algorithm 6 shown in FIG. 6, and the model factory management index database 4 shown in FIG. And evaluate production capacity. As shown in FIG. 6, the production capacity examination algorithm 6 calculates the ratio between the production capacity obtained from the total mounting tact calculated based on the machine capacity in the machine characteristic database 3 and the model production capacity in the model factory management index database 4. The production capacity is diagnosed with the evaluation value based on the evaluation value.
[0019]
Further, by using the production lead time examination 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 to evaluate the production lead time. To do. As shown in FIG. 7, the lead time examination algorithm 7 diagnoses the lead time using an evaluation value based on the ratio between the current production lead time and the model lead time in the model factory management index database.
[0020]
From these evaluation results, points that are inferior to the ideal factory management index of the mounting factory can be accurately and easily clarified and understood, and the mounting factory can be improved accurately. In addition, since it is possible to obtain a diagnosis result immediately when it is desired to perform a diagnosis, it is possible to minimize a loss that occurs until a countermeasure is taken against a problem of a mounting factory. FIG. 8 shows a specific output example of the diagnosis result.
[0021]
In addition, by adopting the above configuration, when a new construction method is developed or a new model index is required, it is possible to appropriately improve the database and algorithm to meet new diagnostic requirements.
[0022]
【The invention's effect】
According to the mounting factory diagnosis system of the present invention, as is apparent from the above description, the mounting cost database, machine characteristic database, model factory management index database, mounting cost review algorithm, production capacity review algorithm, lead With a time review algorithm, accurate mounting factory diagnosis can be performed in a short time from the current mounting cost, production capacity, lead time accurate precision mounting factory diagnosis index and ideal model factory management index. As a result, it is possible to improve the mounting factory optimally.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of an embodiment of a mounting factory diagnosis examination system according to 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 according to the embodiment;
FIG. 4 is an explanatory diagram of a model factory management index database according to the embodiment;
FIG. 5 is an explanatory diagram of a mounting cost examination algorithm according to the embodiment;
FIG. 6 is an explanatory diagram of a production capacity examination algorithm according to the embodiment;
FIG. 7 is an explanatory diagram of a lead time examination algorithm according to 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]
DESCRIPTION OF SYMBOLS 1 Mounting factory diagnostic system 2 Mounting cost database 3 Machine characteristic database 4 Model factory management index database 5 Mounting cost examination algorithm 6 Production capacity examination algorithm 7 Lead time examination algorithm

Claims (1)

Mounting cost database that records data on parts costs, equipment costs, and labor costs , machine characteristics database that records data on machine capabilities , model part costs, model equipment costs, and model personnel in the ideal factory management state Model factory management index database that records costs, model production capacity, and model lead time, and evaluation based on the ratio of the total mounting cost calculated based on the current component cost, equipment cost, and labor cost to the model mounting cost Diagnosis of production capacity based on the evaluation value based on the ratio between the production capacity obtained from the total mounting tact calculated based on the current machine capacity and the model production capacity and the production capacity study algorithm for the current state of the production lead time and the model lead And a lead-time study algorithm for the diagnosis of lead time by the evaluation value based on the ratio of the im, to perform the mounting factory diagnosis from the model plant management indicator for the current implementation cost and production capacity and lead-time and the ideal Mounting factory diagnostic system characterized by

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