Boots – shoes – and leggings
Patent
1989-03-24
1991-02-19
Smith, Jerry
Boots, shoes, and leggings
36447411, 364148, 364513, G06F 1546
Patent
active
049949802
DESCRIPTION:
BRIEF SUMMARY
BACKGROUND OF THE INVENTION
The present invention relates to an automatic machining scheduling method which enables an effective operation or practical usage of a large-scale production system for manufacturing various models of machines.
In producing various component parts for machine products, a machining schedule is conventionally planned humanly so as to be optimized. It is, however, the expense of much labor and time to create an optimum machining schedule humanly each time when required, in order to effectively operate a large-scale production system for manufacturing various models of machines in large quantities.
There has conventionally been proposed an automatic scheduling method for creating a machining schedule without requiring manpower. However, this proposed method is applicable only to a case where the number of machine tools used for machining component parts is as small as three or less and the number of component parts to be produced is also small. Moreover, the method is based on a formula which is too logical and mathematical. Thus, it is difficult to use the method for operation of a large-scale production system.
SUMMARY OF THE INVENTION
The object of the present invention is to provide an automatic machining scheduling method based on an expert system, which can optimize and facilitate the assignment of processes in a large-scale production system for mass-producing various machine products, to individual machine tools for producing various component parts of the products, by effectively utilizing expert experience and know-how accumulated as a database, thereby enabling effective operation of the large-scale production system.
To achieve the object, the present invention provides an automatic machining scheduling method based on an expert system, which comprises the steps of: (a) obtaining a total machining time required for each of machine tools to machine various component parts of machines to be produced, based on requested quantities of respective machine models; (b) comparing the required total machining time of each of the machine tools, obtained in the step (a), with a predetermined operating time for the corresponding machine tool per a first predetermined period, and determining whether the first predetermined period or a second predetermined period longer than the first predetermined period should be used as a unit time for creating a machining schedule; (c) creating a production matrix in accordance with the unit time determined in the step (b) and based on the request quantities of respective machine models; (d) retrieving a machining pattern coinciding with the production matrix created in the step (c), from among various machining patterns registered previously; and (e) retrieving a machining schedule corresponding to the machine pattern retrieved in the step (d), from among various machining schedules registered previously.
According to the invention, the optimum machining schedule is retrieved from among those previously registered according to requested quantities for individual models of products; in other words, expert experience and know-how are effectively utilized with the aid of an expert system having artificial intelligence functions. Hence, an optimum machining schedule can be easily prepared, and the large-scale production system can be used practically in an effective manner.
BRIEF DESCRIPTION OF THE DRAWINGS
FIGS. 1A and 1B form a flowchart of a control program for executing an automatic machining scheduling method according to one embodiment of the invention;
FIG. 2 is a diagram showing part of a format of a master file used in the embodiment;
FIG. 3 is a diagram showing part of a format of a pattern file used in the embodiment;
FIG. 4 is a diagram showing part of a format of a jig pattern file used in the embodiment;
FIG. 5 is a diagram showing part of format of a machining command file used in the embodiment;
FIG. 6 is a diagram showing an example of a day production matrix used in the embodiment; and
FIG. 7 is a diagram showing an example of
REFERENCES:
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patent: 4473883 (1984-09-01), Yoshida et al.
patent: 4583280 (1986-04-01), Corrigan et al.
patent: 4661912 (1987-04-01), Imanishi
patent: 4896269 (1990-01-01), Tong
Lee Bong J.
Yokomori Ryoji
Fanuc Ltd.
Gordon Paul
Smith Jerry
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