In order to achieve optimal operational conditions, the integration of decision-making across different layers of a company and the consideration of uncertain parameters in view of dynamic market conditions are essential. In this article, we review some of the efforts done by the process system engineering and process control communities aiming to optimize performance in a process industry; specifically in the areas of control, scheduling and their integration under process uncertainties. First, uncertainties in process scheduling and control are analyzed, and the different mathematical approaches to describe and optimize problems under uncertainty are described. Recent advances and relevant frameworks for scheduling and control under uncertainties are presented, and efforts for the integration of scheduling and control are reviewed. (C) 2016 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.