The aim of the paper is integrated control and supervisory systems of works transport process, which were realized using programming application type of HMI/SCADA (Human Machine Interface/Supervisory Control and Data Acquisition). The grater requirements put before automation and HMI/SCADA systems in range of controlling and supervising industrial processes cause that is more and more expected evolution of such system to integrate solutions and tools which allow realizing compound tasks connected with control, diagnostic, monitoring and managing. From supervisory systems are expected solutions, which enable to aid decision-making processes for making faster and adequate diagnosis of occurrences and failures, proper estimating technical states of devices, formulating conclusions about symptoms-failures relationships and preventive or removing actions. It needs to develop tools using intelligent methods and algorithms based on fuzzy logic, experts systems and artificial neural networks, which can be applied to realize inference systems to help decision-making processes, control and diagnostic tasks. Presented in the paper examples of HMI/SCADA systems consider realization of controlling and supervising tasks with the aid of fuzzy logic and heuristic algorithms. Supervisory system of works transport process shown in the paper was based on heuristic base of knowledge used to aid decision-making process of operator.