TL;DR: A framework for classifying business process-modelling techniques according to their purpose is proposed and discussed, and a process model can provide a comprehensive understanding of a process.
TL;DR: In this paper, a desktop observer is provided to accept capture data from listeners, to temporarily store capture data if necessary, and to pass the capture data to a process intelligence server.
Abstract: Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.
TL;DR: An integrated approach is developed that covers the gamut of design considerations from the enterprise process in the large, through alternative classes of knowledge in the middle, and on to specific systems in the detail and is shown how this integrated methodology is more complete than existing developmental approaches.
Abstract: Although knowledge management has been investigated in the context of decision support and expert systems for over a decade, interest in and attention to this topic have exploded recently. But integration of knowledge process design with knowledge system design is strangely missing from the knowledge management literature and practice. The research described in this chapter focuses on knowledge management and system design from three integrated perspectives: 1 reengineering process innovation, 2 expert systems knowledge acquisition and representation, and 3 information systems analysis and design. Through careful analysis and discussion, we integrate these three perspectives in a systematic manner, beginning with analysis and design of the enterprise process of interest, progressively moving into knowledge capture and formalization, and then system design and implementation. Thus, we develop an integrated approach that covers the gamut of design considerations from the enterprise process in the large, through alternative classes of knowledge in the middle, and on to specific systems in the detail. We show how this integrated methodology is more complete than existing developmental approaches and illustrate the use and utility of the approach through a specific enterprise example, which addresses many factors widely considered important in the knowledge management environment. Using the integrated methodology that we develop and illustrate in this article, the reader can see how to identify, select, compose and integrate the many component applications and technologies required for effective knowledge system and process design.
TL;DR: A review of current approaches to IDEF modeling in industry, as well as techniques for analysis of IDEF models is presented in this paper, where the emphasis of the paper is on model analysis and reengineering design and manufacturing processes.
TL;DR: It is observed that the combined development and reuse of IDEF and UML models has the potential to place information technology (IT) systems engineering projects into a wider context of enterprise engineering.