FME Technique for Reduced Method Rejection

2019 ◽  
pp. 67-96
Author(s):  
S. B. Goyal
Keyword(s):  
Process Model ◽  
Functional Method ◽  
Tool Design ◽  
Method Engineering ◽  
Project Method ◽  
Selection Approach ◽  
Capture Method ◽  
Definition Of ◽  
Generic Process

In situational method engineering (SME), there are two core intentions that method engineers look for: 1) a set method engineering goal that is the kind of method needed and 2) a method allowing him to satisfy this goal. This chapter can capture method engineering's goal using a generic process model (GPM) that guides the method engineering in the definition of his project method engineering goal and in the selection approach that best allows him to achieve it. The authors wish to move to functional method engineering so as to explore the context of method engineering/situational method engineering more fully based on functional and non-functional method situation. The implications of the approach on CAME tool design are considered and illustrated through a running example.

Functional Method Engineering

2013 ◽  
Vol 4 (1) ◽  
pp. 79-103 ◽  
Author(s):  
S. B. Goyal ◽  
Naveen Prakash
Keyword(s):  
Functional Method ◽  
Tool Design ◽  
Functional Similarity ◽  
Method Engineering ◽  
Functional Characteristics ◽  
Functional Aspects

Examination of the notion of situation shows that it does not reflect so much the method characteristics as the characteristics of projects/method implementations. By treating methods as functions the authors are able to postulate functional characteristics of methods. By including these in the description of a situation, they are able to describe the functional aspects of a situation. This functional situation can be used for retrieving functionally similar methods. Functional similarity is abstracted out in the notion of functional method. That is, a functional situation gives to the authors a functional method which can correspond to one or more methods. Each method is retrieved and it is then adapted to yield the desired method. Since they rely so heavily on the notion of a function, the authors refer to their approach as functional method engineering. The implications of the approach on CAME tool design are considered and illustrated through a running example.

Integration Model to Support Archival of Design History in Databases

1997 ◽  
Author(s):  
Sohail M. Qureshi ◽  
Jami J. Shah ◽  
Susan D. Urban ◽  
Ed Harter ◽  
Claudio Parazzoli ◽  
...  
Keyword(s):  
Design Theory ◽  
Process Model ◽  
A Priori ◽  
Design History ◽  
Integration Model ◽  
Present Design ◽  
Computer Based ◽  
Product Data Modeling ◽  
Definition Of ◽  
Generic Process

Abstract A design history system is being developed to record the events and decisions that are involved in the evolution of an artifact. At present, design systems do not provide a formal mechanism of capturing such information as it is generated. This paper presents a framework that can be used for developing a system to archive and query electromechanical (EM) system design history, in a non-intrusive and structured way. A generic process model is presented that can describe and integrate specialized processes without requiring a priori definition of those processes. Finally, as an example, aerodynamic design process at Boeing Defense & Space group is modeled using the generic process model developed in this work. The work presented in this paper combines research from semantic modeling, product data modeling, process modeling, information technology, databases, and design theory to develop a computer based design history system (DHS).

scholarly journals Collaborative method to maintain business process models updated

2014 ◽  
Vol 11 (2) ◽  
pp. 461-480 ◽  
Author(s):  
Nuno Castela ◽  
Paulo Dias ◽  
Marielba Zacarias ◽  
José Tribolet
Keyword(s):  
Case Studies ◽  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Process Models ◽  
Organizational Environment ◽  
Business Process Model ◽  
Business Process Models ◽  
Definition Of ◽  
Over Time

Business process models are often forgotten after their creation and its representation is not usually updated. This appears to be negative as processes evolve over time. This paper discusses the issue of business process models maintenance through the definition of a collaborative method that creates interaction contexts enabling business actors to discuss about business processes, sharing business knowledge. The collaboration method extends the discussion about existing process representations to all stakeholders promoting their update. This collaborative method contributes to improve business process models, allowing updates based in change proposals and discussions, using a groupware tool that was developed. Four case studies were developed in real organizational environment. We came to the conclusion that the defined method and the developed tool can help organizations to maintain a business process model updated based on the inputs and consequent discussions taken by the organizational actors who participate in the processes.

Cultivating Learning Agility Through Mindfulness

2021 ◽  
pp. 182-203
Author(s):  
R. Andrew Lee
Keyword(s):  
Process Model ◽  
Mindfulness Training ◽  
Future Research ◽  
Present Moment ◽  
Learning Agility ◽  
Five Factors ◽  
Definition Of

“Cultivating Learning Agility Through Mindfulness Training: A Framework and Recommendations” reviews the research related to the role of mindfulness in enhancing learning agility and presents a model to guide future research and applications. It begins by presenting a definition of mindfulness as characterized by three qualities: a focus on present moment experience, an attitude of receptiveness and curiosity, and an emergent capacity for metacognition. It then outlines a process model for learning agility; the model consists of five factors: mindset, awareness, action, integration, and application. This model is then used as a framework to summarize the research linking mindfulness and learning agility. Finally, recommendations are presented for implementing mindfulness training to enhance learning agility.

Advanced Bottoming Cycle Optimisation for Large Alstom CCPP

2007 ◽  
Author(s):  
Michael Vollmer ◽  
Camille Pedretti ◽  
Alexander Ni ◽  
Manfred Wirsum
Keyword(s):  
Power Plant ◽  
Gas Turbines ◽  
Process Model ◽  
Combined Cycle ◽  
Plant Performance ◽  
Design Parameters ◽  
Economic Plant ◽  
Plant Design ◽  
Investment Cost ◽  
Definition Of

This paper presents the fundamentals of an evolutionary, thermo-economic plant design methodology, which enables an improved and customer-focused optimization of the bottoming cycle of a large Combined Cycle Power Plant. The new methodology focuses on the conceptual design of the CCPP applicable to the product development and the pre-acquisition phase. After the definition of the overall plant configuration such as the number of gas turbines used, the type of main cooling system and the related fix investment cost, the CCPP is optimized towards any criteria available in the process model (e.g. lowest COE, maximum NPV/IRR, highest net efficiency). In view of the fact that the optimization is performed on a global plant level with a simultaneous hot- and cold- end optimization, the results clearly show the dependency of the HRSG steam parameters and the related steam turbine configuration on the definition of the cold end (Air Cooled Condenser instead of Direct Cooling). Furthermore, competing methods for feedwater preheating (HRSG recirculation, condensate preheating or pegging steam), different HRSG heat exchanger arrangements as well as applicable portfolio components are automatically evaluated and finally selected. The developed process model is based on a fixed superstructure and copes with the full complexity of today’s bottoming cycle configurations as well with any constraints and design rules existing in practice. It includes a variety of component modules that are prescribed with their performance characteristics, design limitations and individual cost. More than 100 parameters are used to directly calculate the overall plant performance and related investment cost. Further definitions on payment schedule, construction time, operation regime and consumable cost results in a full economic life cycle calculation of the CCPP. For the overall optimization the process model is coupled to an evolutionary optimizer, whereas around 60 design parameters are used within predefined bounds. Within a single optimization run more than 100’000 bottoming cycle configurations are calculated in order to find the targeted optimum and thanks to today’s massive parallel computing resources, the solution can be found over night. Due to the direct formulation of the process model, the best cycle configuration is a result provided by the optimizer and can be based on a single-, dual or triple pressure system using non-reheat, reheat or double reheat configuration. This methodology enables to analyze also existing limitations and characteristics of the key components in the process model and assists to initiate new developments in order to constantly increase the value for power plant customers.

Research on the Rapid Generation Flow of Three-Dimensional Process Model for Complex Parts

2014 ◽  
Vol 926-930 ◽  
pp. 3224-3227
Author(s):  
H.L. Zhang ◽  
W.D. Wu ◽  
X.F. Huang ◽  
J.S. Xia
Keyword(s):  
Information Acquisition ◽  
Process Model ◽  
Three Dimensional ◽  
Process Technology ◽  
Process Information ◽  
Rapid Generation ◽  
Definition Of ◽  
Scheme Analysis ◽  
Complex Parts ◽  
Manufacturing Feature

The generation flow of three-dimensional (3-D) process model used for complex parts is the key in the 3-D process technology. The technology of 3-D process model generation flow is talked about, including the definition of 3-D process model, information acquisition of manufacturing feature and process information, etc. The key characteristics of 3-D process technology that the matching manufacturing feature with process information and 3-D process scheme analysis are researched. At last, reversely suppression of manufacturing feature is used for solving the generation of 3-D process model.

scholarly journals Written Explanations of the Russian Tax Law

2019 ◽  
pp. 145-154
Author(s):  
Igor Dement’ev
Keyword(s):  
Legal Status ◽  
Functional Method ◽  
Theoretical Description ◽  
Tax Law ◽  
Instrumental Approach ◽  
Scientific Methods ◽  
Tax Legislation ◽  
New Knowledge ◽  
Definition Of ◽  
Written Explanations

The article is devoted to the theoretical description of the interpretation of the norms of the tax law and the definition of the legal status of written explanations of the tax legislation, their place in the mechanism of legal tax regulation. The purpose of the article is to confirm or refute the following hypothesis: written explanations of the tax legislation – an act of official interpretation of the norms of the tax law and mandatory for subjects of tax law enforcement. Methods: the methodological basis of the study was a set of methods of scientific knowledge. Genera l scientific (dia lectics, ana lysis and synthesis, abstraction and concretisation) and private scientific methods of research (formal-legal, comparative-legal, technical-legal) were used. To obtain new knowledge, the author also used the systemic and instrumental approach, empirical methods of description, comparison; methods of analogy, abstraction and the structural-functional method.

scholarly journals Model-driven support for business process families with the Common Variability Language (CVL)

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Daniel Calegari ◽  
Andrea Delgado ◽  
Leonel Peña
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Qualitative Evaluation ◽  
Automatic Generation ◽  
Model Driven ◽  
Business Objective ◽  
Graphical Tool ◽  
The Common ◽  
Definition Of

To achieve a business objective, organizations may require variants of the same business process that depend on the context in which they are enacted. Several proposals have emerged to deal with the variability of business processes, focused on the modeling of a so-called process family. The proposals try to avoid modeling each variant separately, which implies duplication and maintenance of the common parts. Few of them also focus on automatically deriving a process variant from the definition of a process family, which is a central and complex task. One of these proposals is the Common Variability Language (CVL), which allows representing variability transparently in a host language. This article aims to explore the use of CVL together with the Business Process Model and Notation (BPMN 2.0) for modeling business process families, and the use of Model-Driven Engineering (MDE) techniques for the automatic generation of process variants. We also present a graphical tool supporting these ideas and a qualitative evaluation of the variability approach by using the VIVACE framework.

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