Modeling and Execution of Multienterprise Business Processes

We discuss a fully featured multienterprise business process plattform (ME-BPP) based on the concepts of agent-based business processes. Using the concepts of the subject-oriented business process (S-BPM) methodology we developed an architecture to realize a platform for the execution of distributed business processes. The platform is implemented based on cloud technology using commercial services. For our discussion we used the well known Service Interaction Patterns, as they are empirically developed from typical business-to-business interactions. We can demonstrate that all patterns can be easily modeled and executed based on our architecture. We propose therefore a change from a control flow based to an agent based view to model and enact business processes.Comment: arXiv admin note: substantial text overlap with arXiv:1404.273

S-BPM Illustrated: A Storybook about Business Process Modeling and Execution

S-BPM stands for “subject-oriented business process management” and focuses on subjects that represent the entities (people, programs etc.) that are actively engaged in processes. S-BPM has become one of the most widely discussed approaches for process professionals. Its potential particularly lies in the integration of advanced information technology with organizational and managerial methods to foster and leverage business innovation, operational excellence and intra- and inter-organizational collaboration. Thus S-BPM can also be understood as a stakeholder-oriented and social business process management methodology. In this book, the authors show how S-BPM and its tools can be used in order to solve communication and synchronization problems involving humans and/or machines in an organization. All the activities needed in order to implement a business process are shown step by step; it starts by analyzing the problem, continues with modeling and validating the corresponding process, and finishes off by embedding the process into the organization. The final result is a workflow that executes the process without the need for any programming. To this end, in the first step a very simple process is implemented, which is subsequently extended and improved in “adaption projects,” because additional problems have to be solved. This approach reflects the organizational reality, in which processes must always be changed and adapted to new requirements. This is a hands-on book, written by professionals for professionals, with a clear and concise style, a wealth of illustrations (as the title suggests), and focusing on an ongoing example with a real industrial background. Readers who want to execute all the steps by themselves can simply download the S-BPM tool suite from the www.i2pm.net website

S-BPM Illustrated: A Storybook about Business Process Modeling and Execution

Information Systems Applications (incl.Internet); Business Information Systems; Computer Appl. in Administrative Data Processing; Management of Computing and Information System

S-BPM Illustrated: A Storybook about Business Process Modeling and Execution

Information Systems Applications (incl.Internet); Business Information Systems; Computer Appl. in Administrative Data Processing; Management of Computing and Information System

Automated extraction of image coordinates for Optical Indoor Positioning

In this paper, we focus on the accuracy of optical indoor positioning based on pictures taken by a cell phone camera. We restrict ourselves to automated relative pose estimation given only one image including the projection of a known object with at least three known reference points with known absolute position. To infer the relative pose from the image coordinates of the reference points we first have to detect and classify an object, afterwards localize the image coordinates, and finally apply spatial resection. We show, that if an object is correctly classified then the quality of the positioning heavily depends on the accuracy of the localization of the image coordinates and on the choice of the spatial resection algorithm. To this end, we compare three different spatial resection algorithms and present two combinations of object classification and image coordinate localization techniques using doors as known objects. The accuracy and fault tolerance of the different methods will conclusively be discussed in terms of quality and robustness