Topic
Process modeling
About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.
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TL;DR: This article describes an engineering process representation and modeling tool that is more complete than those used in previous process modeling approaches and overcomes some of their limitations when dealing with design processes involving dependencies at multiple levels of detail.
Abstract: This article describes an engineering process representation and modeling tool. The approach is especially suitable for describing large-scale, mature design processes involving numerous tasks, some of which may be performed by automated computer agents. The underlying representation is a graph of information-processing units with explicitly defined input and output feature elements. We show that this representation is more complete than those used in previous process modeling approaches and overcomes some of their limitations when dealing with design processes involving dependencies at multiple levels of detail. The representation is combined with rules for automatically operating upon the graph to preserve consistency when traversing to higher or lower levels of detail.
105 citations
TL;DR: A comparative overview of the degree of support for these patterns offered by state-of-the-art languages and tools is obtained, and an evaluation of the patterns from a usability perspective, as perceived by BPM practitioners are concluded.
Abstract: As a result of the growing adoption of Business Process Management (BPM) technology, different stakeholders need to understand and agree upon the process models that are used to configure BPM systems. However, BPM users have problems dealing with the complexity of such models. Therefore, the challenge is to improve the comprehension of process models. While a substantial amount of literature is devoted to this topic, there is no overview of the various mechanisms that exist to deal with managing complexity in (large) process models. As a result, it is hard to obtain an insight into the degree of support offered for complexity reducing mechanisms by state-of-the-art languages and tools. This paper focuses on complexity reduction mechanisms that affect the abstract syntax of a process model, i.e., the formal structure of process model elements and their interrelationships. These mechanisms are captured as patterns so that they can be described in their most general form, in a language- and tool-independent manner. The paper concludes with a comparative overview of the degree of support for these patterns offered by state-of-the-art languages and tools, and with an evaluation of the patterns from a usability perspective, as perceived by BPM practitioners.
105 citations
TL;DR: A process coordination framework for Web services and the building blocks required for e-business automation are outlined, which helps in understanding the roles of various standards and in identifying overlaps, gaps, and opportunities for convergence.
Abstract: The authors propose a process coordination framework for Web services and outline the building blocks required for e-business automation. Their framework helps in understanding the roles of various standards and in identifying overlaps, gaps, and opportunities for convergence.
105 citations
15 May 1989
TL;DR: The generic model supports the representation of design arti- facts, steps and heuristics and is applied to model episodes from a pedagogical design process: the design of a lift system controller.
Abstract: A paradigm for representing process information is described. It consists of a simple generic model and a specialization mechanism for customizing the model for any design method. The generic model supports the representation of design arti- facts, steps and heuristics. A specialization of the generic model for JSD is illustrated in detail. The JSD model is then applied to model episodes from a pedagogical design process: the design of a lift system controller.
104 citations
TL;DR: In this article, a model-based approach to the recognition of discrete state transitions for robotic assembly is presented, in which sensor signals are interpreted with reference to the physical model of an assembly process in order to recognize the state of assembly in real time.
Abstract: This paper presents a model-based approach to the recognition of discrete state transitions for robotic assembly. Sensor signals, in particular, force and moment, are interpreted with reference to the physical model of an assembly process in order to recognize the state of assembly in real time. Assembly is a dynamic as well as a geometric process. Here, the model-based approach is applied to the unique problems of the dynamics generated by geometric interactions in an assembly process. First, a new method for the modeling of the assembly process is presented. In contrast to the traditional quasi-static treatment of assembly, the new method incorporates the dynamic nature of the process to highlight the discrete changes of state, e.g., gain and loss of contact
104 citations