Aims and scope

This journal is a diversified platform for disseminating state-of-the-art research on computational solutions for improving the sustainability of industrial processes. It provides an international forum to researchers, policy makers, decision makers, managers, consultants, and planners to publish, learn, and discuss how process integration and optimization tools can be used to reduce the consumption of resources and the generation of pollutants. The scope covers combinations of computing methods (e.g., mathematical programming, pinch analysis, decision analysis, machine learning, etc.) and innovative industrial applications.

This journal publishes the following types of contributions:

• Original research papers that propose and demonstrate novel computational methodology.
• Review articles providing surveys and critical appraisal of developments in a specific topic of interest.
• Short communications describing initial research findings of potential significance, substantive comments on previously published papers, or insightful perspectives on emerging issues.
• Short technical notes that focus on the implementation of established methodology (e.g., industrial case studies/success stories; software tools)

PIOS does not accept process optimization papers based purely on statistical design of experiment (DOE) techniques as well as papers without clear sustainability aspects; such contributions will automatically be desk rejected.