Marcin Witczak was born in Poland in 1973, received the M.Sc. degree in electrical engineering from the University of Zielona Góra (Poland), the Ph.D. degree in automatic control and robotics from the Wroc¿aw University of Technology (Poland), and the D.Sc. degree in electrical engineering from the University of Zielona Góra, in 1998, 2002 and 2007, respectively. In 2015 he received a full professorial title. Since then, Marcin Witczak has been a professor of control and computer engineering at the Institute of Control and Computation Engineering, University of Zielona Góra. His current research interests include computational intelligence, fault detection and isolation (FDI), fault-tolerant control (FTC) coupled with the Internet of Things (IoT) applications. Marcin Witczak has published more than 200 papers in international journals and conference proceedings. He is an author of 5 monographs and 40 book chapters. Since 2015, he has been a member of the Committee on Automatic Control and Robotics Committee of the Polish Academy of Sciences. He is also a subject area editor of ISA Transactions while from 2022 he is an associate editor of Engineering Applications of Artificial Intelligence.

1.Introduction.- 2.Onboarding and Preliminary Functionality Training.- 3.Towards Logistic Applications.- 4.Implementing and Using Essential Statistical Process Control.- 5.Mastering System Monitoring and Control.- 6.Towards Advanced Applications.- 7.KIS.API: Towards external communication.- Appendix A KIS.ME commands and their sample applications.- Appendix B KIS.ME Datapoints and their sample applications.

This is an open access book. The book starts with an introductory IoT overview related to its selected scope of applications. There is no doubt that digitalization solutions from Industry 4.0 and the Internet of Things (IoT) can be perceived as excellent candidate strategies capable of handling the above-stated issues concerning measurements and transparency. However, IoT tools themselves can provide appropriate data only, while their efficient integration and application are possible using a dedicated onboarding platform only.
To settle this issue, the book undertakes the problem of modern IoT onboarding platforms for the advanced applications pertaining to manufacturing and logistics. In particular, instead of deliberating about a possible hypothetic platforms, an existing and efficient one is employed, which is called KIS.ME.
KIS.ME (Keep It Simple. Manage Everything) is a complete IoT solution for a simple integration in manufacturing and logistics. It is composed ofa set of hardware devices (KIS.BOX, KIS.IO and KIS.LIGHT), which are intuitively integrated with the cloud platform called KIS.MANAGER. Moreover, the entire platform is an open one, and hence, it enables communication with external services using KIS.API architecture. The application range of KIS.ME is extensive. This is due to the intuitive implementation and visualization of a user-defined key performance indicators (KPIs), which constitute effective optimization measures. Thus, the potential areas of application of KIS.ME are, e.g., manufacturing, warehouse management and logistics. Indeed, triggering and/or ordering various tasks can be immediately and efficiently implemented with KIS.ME. Such an approach translates directly to the savings of the time and energy. Subsequently, a gradual introduction to KIS.ME platform is presented, which constitutes the base for further advanced applications including logistics, control and maintenance of various processes. Finally, the potentialof KIS.API communication framework is utilized for an efficient communication with external services.