Reengineering Conventional Data and Process Models with Business Object Models: A Case Study Based on SAP R/3 and UML

1998 ◽  
pp. 393-406
Author(s):  
Eckhart von Hahn ◽  
Barbara Paech ◽  
Conrad Bock
Keyword(s):  
Process Models ◽  
Business Object ◽  
Object Models

Wissensasymmetrien, Interaktionsrollen und die Frage der „gemeinsamen“ Sprache in der interdisziplinären Projektkommunikation

Fachsprache ◽  
2017 ◽  
Vol 33 (3-4) ◽  
pp. 187-204
Author(s):  
Nina Janich ◽  
Ekaterina Zakharova
Keyword(s):  
Process Models ◽  
Project Work ◽  
Common Language ◽  
Project Proposal ◽  
Communication Problems ◽  
Project Participants ◽  
Interdisciplinary Projects ◽  
Social Scientific ◽  
Initial Results

goal of the present discourse analysis is to report on the initial results of a DFG project on communication in interdisciplinary projects. Based on a case study, the following questions were investigated: 1) at what times or phases of a project communication problems occur, 2) what kinds of problems occur as a result of knowledge asymmetries, and 3) which interactive and discourse roles do participants take on when facing such problems? Three main conclusions can be drawn from the findings; first, that linguistic-communicative problems occurring in interdisciplinary projects are not simply a result of attempts to find a “common language”, but are grounded in issues of contextual, methodological, organisitory, and socio-pragmatic agreements. Second, these communication problems arise during the initial, preparatory phases of a project, earlier than social scientific process models suggest, i. e. as early as the writing and submission of the project proposal, as opposed to when the project work actually begins. Third, that these problems, induced by the inevitable presence of knowledge asymmetries among participants, must be resolved not only through active and consistent meta-communication, but also through meta-meta-communication. Evidence for these findings was gathered by means of interviews with project participants in which they reflected on the phase of jointly writing their project proposal from the perspective of their respective disciplines.

Statistical approach for describing failures and lifetimes of water mains

1998 ◽  
Vol 38 (6) ◽  
pp. 209-217 ◽  
Author(s):  
Jianhua Lei ◽  
Sveinung Sægrov
Keyword(s):  
Data Base ◽  
Ductile Iron ◽  
Counting Process ◽  
Statistical Approach ◽  
Process Models ◽  
Average Lifetime ◽  
Maintenance Practice ◽  
Water Mains ◽  
Near Future

This paper demonstrates the statistical approach for describing failures and lifetimes of water mains. The statistical approach is based on pipe inventory data and the maintenance data registered in the data base. The approach consists of data pre-processing and statistical analysis. Two classes of statistical models are applied, namely counting process models and lifetime models. With lifetime models, one can estimate the probability which a pipe will fail within a time horizon. With counting process models one can see the deteriorating (or improving) trend in time of a group of “identical” pipes and their rates of occurrence of failure (ROCOF). The case study with the data base from Trondheim municipality (Norway) demonstrates the applicability of the statistical approach and leads to the following results: 1). In the past 20 years, Trondheim municipality has experienced approximately 250 to 300 failures per year. However, the number of failures per year will significantly increase in the near future unless better maintenance practice is implemented now. 2). Unprotected ductile iron pipes have a higher probability of failures than other materials. The average lifetime of unprotected ductile iron pipes is approximately 30 to 40 years shorter than the lifetime of a cast iron pipe. 3). Pipes installed 1963 and 1975 are most likely to fail in the future; 4) The age of a pipe does not play a significant role for the remaining lifetime of the pipe; 5). After 2 to 3 failures, a pipe enters a fast-failure stage (i.e., frequent multiple between failures).

scholarly journals FORMALIZATION OF OBJECT BEHAVIOR AND INTERACTIONS FROM UML MODELS

2001 ◽  
Vol 11 (06) ◽  
pp. 643-673 ◽  
Author(s):  
JOHN ANIL SALDHANA ◽  
SOL M. SHATZ ◽  
ZHAOXIA HU
Keyword(s):  
Petri Net ◽  
System Level ◽  
Simulation Techniques ◽  
Industry Standard ◽  
Automated Processing ◽  
Language Needs ◽  
Object Models ◽  
Collaboration Diagram ◽  
Object Behavior

UML, being the industry standard as a common OO modeling language, needs a well-defined semantic base for its notation. Formalization of the graphical notation enables automated processing and analysis tasks. This paper describes a methodology for synthesis of a Petri net model from UML diagrams. The approach is based on deriving Object Net Models from UML statechart diagrams and connecting these object models based on UML collaboration diagram information. The resulting system-level Petri net model can be used as a foundation for formal Petri net analysis and simulation techniques. The methodology is illustrated on some small examples and a larger case study. The case study reveals some unexpected invalid system-state situations.

scholarly journals Discovering Business Processes from Email Logs using fastText and Process Mining

2020 ◽  
Author(s):  
Yaghoub rashnavadi ◽  
Sina Behzadifard ◽  
Reza Farzadnia ◽  
sina zamani
Keyword(s):  
Machine Learning ◽  
Business Processes ◽  
Oil And Gas ◽  
Process Mining ◽  
The Body ◽  
Process Models ◽  
Supervised Machine Learning ◽  
Implicit Information ◽  
Oil And Gas Sector

<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation of organizations. Behind this vast corpus of human-generated content, there is much implicit information that can be mined and used to improve or optimize the organizations’ operations. Business processes are one of those implicit knowledge areas that can be discovered from Email logs of an Organization, as most of the communications are followed inside Emails. The purpose of this research is to propose an approach to discover the process models in the Email log. In this approach, we combine two tools, supervised machine learning and process mining. With the help of supervised machine learning, fastText classifier, we classify the body text of emails to the activity-related. Then the generated log will be mined with process mining techniques to find process models. We illustrate the approach with a case study company from the oil and gas sector.</p>

Information as Change Agent or Barrier in Health Care Reform?

2013 ◽  
pp. 1-17
Author(s):  
Alan C. Gillies ◽  
John Howard
Keyword(s):  
Health Care ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Process Models ◽  
Value Systems ◽  
Care Services ◽  
Primary Care Services ◽  
Complex Adaptive ◽  
Care Systems

Health care systems across the world are in a state of flux. If the experience of the early 1990s can be used as a model, the recent global economic downturn will lead to very significant pressures to reduce spending and achieve better value. Systems have provided a range of approaches to modeling and evaluating these more complex organizations, from simple process models to complex adaptive systems. This paper considers the pros and cons of such approaches and proposes a new modeling approach that combines the best elements of other techniques. This paper also describes a case study, where the approach has been deployed by the authors. The case study comes from health care services in Ontario, Canada, who are shifting from the traditionally hospital-based system to one that recognizes a greater role for community and primary care services.

A Method for Eliciting Goals for Business Process Models based on Non-Functional Requirements Catalogues

2013 ◽  
pp. 226-244 ◽  
Author(s):  
Evellin Cardoso ◽  
João Paulo A. Almeida ◽  
Renata S. S. Guizzardi ◽  
Giancarlo Guizzardi
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Business Process Modeling ◽  
Process Models ◽  
Functional Requirements ◽  
Business Process Models ◽  
Traditional Approaches ◽  
Goal Models

While traditional approaches in business process modeling tend to focus on “how” the business processes are performed (adopting a behavioral description in which business processes are described in terms of procedural aspects), in goal-oriented business process modeling, the proposals strive to extend traditional business process methodologies by providing a dimension of intentionality to business processes. One of the key difficulties in enabling one to model goal-oriented processes concerns the identification or elicitation of goals. This paper reports on a case study conducted in a Brazilian hospital, which obtained several goal models represented in i*/Tropos, each of which correspond to a business process also modeled in the scope of the study. NFR catalogues were helpful in goal elicitation, uncovering goals that did not come up during previous interviews prior to these catalogues’ use.

Capturing Process Knowledge for Multi-Channel Information Systems

2012 ◽  
Vol 3 (1) ◽  
pp. 78-98 ◽  
Author(s):  
Shang Gao ◽  
John Krogstie
Keyword(s):  
Early Stage ◽  
Process Models ◽  
System Support ◽  
Knowledge Capture ◽  
Process Knowledge ◽  
Starting Point ◽  
Channel Information ◽  
Further Development ◽  
Goal Models

In this paper, a case study is used to evaluate the business process characterizing modeling (BPCM) language. The BPCM-framework is meant to guide both business stakeholders and model developers during model-based development. The focus of the approach is the use of BPCM as a starting point for capturing process knowledge when planning and developing information system support. Based on information within the BPCM models, goal models and process models can be developed and used for further development of the BPCM model. The approach in this paper is evaluated using a case study related to the arrangement of a conference series. Through the case study, the authors have confirmed the potential usability and usefulness of BPCM for early stage knowledge capture, getting input for further improvement of the approach.

Business Object Models for Industrial Data Standards

2011 ◽  
Author(s):  
Keith A. Hunten ◽  
Allison Barnard Feeney
Keyword(s):  
Data Standards ◽  
Industrial Data ◽  
Business Object ◽  
Iso 10303 ◽  
Business Objects ◽  
Object Models ◽  
Different Levels

Business object models, as proposed for inclusion in the ISO 10303 family of industrial data standards developed in ISO TC 184/SC4 (SC4), are a layer over the ISO 10303 architecture that is intended to simplify and make the complex standards more accessible to a wider audience, ease implementation, and improve implementation performance. This paper discusses the motivation for developing business object models in SC4, proposes a process for developing business objects, provides example business objects at different levels of complexity, and describes issues facing the two SC4 projects currently developing business object models.

Sign in / Sign up

Export Citation Format

Share Document