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.

Experimental Observation of Iteration in Engineering Design

Abstract: This paper uses a laboratory experimental setting to make observations about the iteration process in engineering design. Iteration is an important and ubiquitous feature of engineering design. Previous research has constructed prescriptive mathematical models of the iteration process in an attempt to aid the design manager. In this paper, experimental observations are made about design iteration in a group setting, and those observations are compared with the existing models of the iteration process. Some correspondence with existing models is noted, although there are also significant differences. These differences could be used to improve the mathematical models of the iteration process.

Feature-based process planning for environmentally conscious machining – Part 1: microplanning

Abstract: Process planning in environmentally conscious machining involves a multi-objective analysis of manufacturing dimensions that include production rate, quality, process energy and mass of waste streams generated by the process. While there has been a body of work developed in life cycle analysis, one of the critical issues limiting environmental analyses is the material and geometric complexity of engineered components. In this paper a formalized approach towards integrating environmental factors in process planning is presented, which incrementally evaluates part designs through an aggregation of features. Process planning is divided into two phases, micro and macroplanning. In microplanning, process, parameters, tooling and cutting fluids are selected for the individual features, while in macroplanning interactions between features are examined. Microplanning is the focus of this paper where predictive process models are used to obtain process level inventory of process energy, machining time, mass of waste streams (primary scrap and secondary catalysts) and quality parameters. The mass of waste streams are then evaluated for their environmental impact based on a health hazard scoring index. The Microplanning algorithm integrates these dimensions in an optimization framework to make robust process planning decisions at the feature level. A case study of a machined part is presented to illustrate the microplanning methodology.

Software process modeling: a case study

Abstract: Experiences in applying a specific modeling approach and technology to a portion of a software support process used by the US Air Force are related. The modeling approach is discussed in the context of examples drawn from the model developed. A view of the primary objectives of software process modeling, which formed the basis of the approach used, is set forth. The usefulness of the model is evaluated, and general lessons are drawn from the modeling effort. >

A survey and assessment of software process representation formalisms

Abstract: Process modeling is a rather young and very active research area. During the last few years, new languages and methods have been proposed to describe software processes. In this paper we try to clarify the issues involved in software process modeling and identify the main approaches. We start by motivating the use of process modeling and its main objectives. We then propose a list of desirable features for process languages. The features are grouped as either already provided by languages from other fields or as specific features of the process domain. Finally, we review the main existing approaches and propose a classification scheme.

Guaranteeing Soundness of Configurable Process Variants in Provop

Abstract: Usually, for a particular business process a multitude of variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the process context. While some progress has been achieved regarding the configuration of process variants, there exists only little work on how to accomplish this in a sound and efficient manner, especially when considering the large number of process variants that exist in practice as well as the many syntactical and semantical constraints they have to obey. In this paper we discuss advanced concepts for the context- and constraint-based configuration of process variants, and show how they can be utilized to ensure soundness of the configured process variants. Enhancing process-aware information systems with the capability to easily configure sound process models, belonging to the same process family and fitting to the given application context, will enable a new quality in engineering process-aware information systems.