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.

Method and system for top-down business process definition and execution

Abstract: A system and method is presented utilizing a set of software tools for the graphical definition of top-down workflow process models. The present invention has three main components: the process designer (300), the process server (500), and the process clients. The process designer (300) allows users to define the business processes from the top down without programming. The process definitions are made up of components, such as tasks and subprocesses. Tasks in the present invention incorporate all GUI panels necessary for an end-user (602) to complete the task. Events link the process model. Process models also include roles, end-users (602) , business logic, and other components. Adapters allow business data and logic external to the present invention to be incorporated into the process model. The process model definitions are then installed on the process server (500), which presents the tasks to end-users (602). End-user (602) access and perform tasks through the process clients.

Process Modeling in Composites Manufacturing

Abstract: Introduction Motivation and Contents Preliminaries Polymer Matrices for Composites Fibers Classification General Approach to Modeling Organization of the Book Overview of Manufacturing Processes Background Classification Based on Dominant Flow Process Short Fiber Suspension Manufacturing Methods Advanced Thermoplastic Manufacturing Methods Advanced Thermoset Composite Manufacturing Methods Transport Equations for Composite Processing Introduction to Process Models Conservation of Mass (Continuity Equation) Conservation of Momentum (Equation of Motion) Stress-Strain Rate Relationship Examples to Solve Viscous Flow Problems Conservation of Energy Constitutive Laws and Their Characterization Resin Viscosity Viscosity of Aligned Fiber Thermoplastic Laminates Suspension Viscosity Reaction Kinetics Thermoplastic Reactive Processing Crystallization Kinetics Permeability Fiber Stress Model Simplifications and Solution Formulation of Models Model and Geometry Simplifications Dimensionless Analysis and Dimensionless Numbers Customary Assumptions in Polymer Composite Processing Boundary Conditions for Flow Analysis Convection of Variables Process Models from Simplified Geometries Mathematical Tools for Simplification Solution Methods Numerical Methods Validation Short Fiber Composites Compression Molding Extrusion Injection Molding Exercises Advanced Thermoplastic Manufacturing Processes Composite Sheet Forming Processes Pultrusion Thermal Model Online Consolidation of Thermoplastics Processing Advanced Thermoset Fiber Composites Autoclave Molding Liquid Composite Molding Filament Winding of Thermosetting Matrix Composites Summary and Outlook MATLAB Files Solution to Example 8.13 using FDM Additional Examples with LIMS to Model Liquid Mold Filling Bibliography Index

Predictive Monitoring of Business Processes: A Survey

Abstract: Nowadays, process mining is becoming a growing area of interest in business process management (BPM). Process mining consists in the extraction of information from the event logs of a business process. From this information, we can discover process models, monitor and improve our processes. One of the applications of process mining, is the predictive monitoring of business process. The aim of these techniques is the prediction of quantifiable metrics of a running process instance with the generation of predictive models. The most representative approaches for the runtime prediction of business process are summarized in this paper. The different types of computational predictive methods, such as statistical techniques or machine learning approaches, and certain aspects as the type of predicted values and quality evaluation metrics, have been considered for the categorization of these methods. This paper also includes a summary of the basic concepts, as well as a global overview of the process predictive monitoring area, that can be used to support future efforts of researchers and practitioners in this research field.

Goal decomposition and scenario analysis in business process reengineering

Abstract: This paper presents experiences in applying the goal decomposition and scenario analysis model in the context of Business Process Reengineering (BPR). The relationships of goals, scenarios, as well as the understanding and description of business processes are discussed. Different methods of goal refinement, and the application of scenarios to support this process of refining goals and roles are reviewed. A case study is presented which serves to exemplify and validate the process of using scenarios in refining business process descriptions. We tried deriving full scenarios for business processes, but obtaining them from the organization's prescriptive goals was difficult. Explanatory scenarios that justify descriptive goals are easier to obtain but are fragmentary. We conclude that both types of scenario and goal analysis are necessary for effective BPR. The need for technology support for this process is discussed and attention is given to future anticipated research in this area.