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FLEXSCHE Analyzer

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New Features of Version 16

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FLEXSCHE - production scheduler and production planning > Products > FLEXSCHE Analyzer

FLEXSCHE Analyzer

Production scheduler is a kind of highly modeled, virtual factory. Various data accumulated in a scheduler is no doubt a treasure trove. You can obtain valuable information for the manufacturing by extracting various indices and by analyzing them from diversified aspects. The information will be not only useful for manufacture planning but also to make management decisions. FLEXSCHE Analyzer is a mechanism to achieve this.

FLEXSCHE Analyzer can be utilized in the scene below:

FLEXSCHE Analyzer first collects data within FLEXSCHE, and generate ‘datacube (multi-dimensional, layered data)’. How to generate datacube can be freely defined by the user, by using ‘takt expression’. ‘Datacube Viewer’, which is for browsing generated datacube, can specify the axes to display and can open and shut the layer of the data, so that the enormous information can be grasped effectively and diversifiedly.

Note: In addition, instead of datacube, you can generate data set (data in table format),
which can be exported to a file, and referred to by the scheduling rule.

Moreover, by specifying the axis and range, and by extracting values from the datacube, you can make graphs. The type of graphs created by FLEXSCHE Analyzer 14.0 are listed below.

Radar chart (named as ‘Evaluation graph’) can be easily created based on the built-in evaluation indices listed below. Graphs by multiple scheduling results can be overlaid, so it is useful for tuning up the scheduling rules.

Average working time / Average changeover time / Total changeover time
/ Count of unassigned operations / Count of delivery delay / Average of margin to due time
/ Average production lead time / Count of changeover / Average production and shipping lead time
/ Average simple detention time / Total delivery delay time / Total working time

These indices can be freely edited.

Graphs are created in HTML5 files, so they can be viewed on Web browser.

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