A data processing device includes: a collector that collects setting values in operating elements that control a production process for a product at prescribed intervals and collects brand information indicating a brand of the product; a first processor that performs a statistical process for the setting values, obtains representative values for the setting values as operation performance values while the product of the brand indicated in the brand information is being produced, and generates a performance value database; a second processor that performs a statistical process for operation performance values associated with brand information indicating a next brand to be produced in the production process among the operation performance values included in the performance value database, and obtains optimal setting values in the operating elements for producing the product of the next brand; and an outputter that outputs the obtained setting values.

Disclosed herein methods for scheduling the automated manufacturing of mattresses. Aspects include receiving a plurality of customer orders for mattresses, wherein each of the plurality of customer orders includes a due date and organizing the plurality of customer orders into production batches based on the due dates. Aspects also include analyzing a first production batch of the daily production schedule and responsively creating an optimized hour production batch and based on a determination that the optimized first production batch exceeds a performance threshold 1, dispatching the first hourly production batch to an automated manufacturing system for production. Based on a determination that the optimized first hour production batch does not exceed the performance threshold, aspects further include analyzing a second production batch and modifying the optimized first production batch and the second production batch to create an optimized second production batch.

A data processing device includes: a collector that collects setting values in operating elements that control a production process for a product at prescribed intervals and collects brand information indicating a brand of the product; a first processor that performs a statistical process for the setting values, obtains representative values for the setting values as operation performance values while the product of the brand indicated in the brand information is being produced, and generates a performance value database; a second processor that performs a statistical process for operation performance values associated with brand information indicating a next brand to be produced in the production process among the operation performance values included in the performance value database, and obtains optimal setting values in the operating elements for producing the product of the next brand; and an outputter that outputs the obtained setting values.