APS system that creates production schedules
at high speed for multiple items and multiple processes
Asprova pocket manual series are the documents which explain the function and the knowhow about Asprova. The pocket manual series not only supplement the missed function and the new one, but also introduce the knowhow in the actual operation.
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Divide operations up within one process and distribute them to multiple resources. Match to actual on-site lot size flow. Reduce lot size to cut lead-time.
Examine the results of rescheduling from many different aspects Run simulations and compare schedule results.
Easy creation of master data using a graphical view.
We frequently see in the fabrication of semiconductors, the use of an Asprova APS to make multiple assignments on the same machine. The assignment of simple parameters leads to empty time and that leads to a poor plan. Here we will show you methods of assigning parameters that will prevent that from happening.
Here we introduce a method that uses the auto-replenishment production function to generate medium-term product orders in one-to-one format and then has workers make decisions and organize those replenishment orders.
We introduce here a method for determining the number of units to be entered in the initial process of car part manufacturing, when auto-replenishment production is used, pallets with a predetermined number of items are moving forward on a processing line and estimated yield is reached during the process.
Use the "Upload selected operations command" to display in the operations table, and in a favored style, the operation selected by Gantt resources chart.
Use the Upload selected operations command to automate routine work.
Two examples of a method for controlling the number of operations that use sub-resources and are allocated to the same time slot.
Here we use Excel as our example to output forms to Excel and show assignments for starting and printing from Excel.
Here's an example of how to program when yields differ for each resource.
Explanation of the available functions used for creating setup tasks.
On these pages, valid condition expressions will be used to show master data (Integrated Master Table) adaptable to a wide range of conditions. These conditions are assigned to reduce data volume. An example application will be used to introduce a general-purpose master for use with individual orders received that allows rescheduling of new items without changing the master data.
We will now show you a method for visually detecting changes in scheduling results on resource charts and operation tables. We will also present a method for visually comparing scheduled and actual performance.
The theory of constraints is frequently discussed as a method for improving factory production capacity. Here we'll look at simple examples of the phenomena in partial optimization that is not based on the theory of constraints and important points in the use of Asprova that are based on TOC.

Lean Manufacturing Japan - Broadcasting the latest lean manufacturing know-how from Japan!
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