ProOpter: An advanced platform for production analysis and optimization

• ProOpter platform for production analysis and optimization was developed.
• It supports the concept of model-based production control.
• It is comprised of a set of off-line (modelling) and on-line (optimization) modules.
• Platform for testing of new production analysis and optimization methods.
• ProOpter was validated on simulation and two industrial case studies.

This paper presents the prototype of an advanced platform for production analysis and optimization, referred to as ProOpter. The platform was developed to support the recently derived concept of holistic production control (HPC), which relies on model-based control. The prototype is comprised of a set of off-line and on-line modules. The off-line modules support the definition of key performance indicators (KPIs), the selection of the most influential input (manipulative) variables, and the identification of a simple production model from historical data. The on-line modules enable KPI prediction and suggest actions to the production manager, employing model-based production control and/or optimization techniques. In this way, a new decision-support reasoning based on historical production data can be introduced. ProOpter has a modular design and can be used as an add-on to existing production IT systems since it relies on established industrial communication standards. The use of the platform is validated on the well-known Tennessee Eastman benchmark simulation process and on two industrial case studies.