Knowledge based tools for stability verification during pressure equipment life cycle

2010 ◽  
pp. 267-274
Author(s):  
P Bragatto ◽  
P Pittiglio ◽  
S Ansaldi
Keyword(s):  
Life Cycle ◽  
Knowledge Based

The Rise of “Environmental Sustainability Knowledge” in Business Strategy and Entrepreneurship

2014 ◽  
pp. 221-238
Author(s):  
Jean Marie Ip-Soo-Ching ◽  
Suzanne Zyngier
Keyword(s):  
Information Technology ◽  
Life Cycle ◽  
Conceptual Framework ◽  
Natural Environment ◽  
Environmental Sustainability ◽  
Business Strategy ◽  
Local Community ◽  
Community Education ◽  
Business Sustainability ◽  
Knowledge Based

This chapter articulates a conceptual framework to analyse the management of environmental sustainability knowledge in tourism that is underpinned by both the knowledge-based view of the firm (Grant, 1996; Spender, 1996) and the KM Life Cycle (Liebowitz & Beckman, 1998; Salisbury, 2012). This deliberate management of knowledge enables NTOs to build a knowledge-base about the natural environment and to use that knowledge for environmental sustainability, business sustainability, and local community education. Ten NTOs in Australia, Malaysia, Thailand, and Vietnam were investigated to analyse their KM of environmental sustainability. In supporting the knowledge-based view and KM of environmental sustainability knowledge, a further conceptual framework is also advanced for the analysis of how Information Technology enables environmental sustainability knowledge to be created, captured, shared, and applied at NTOs among their staff, customers, and communities.

Assembling Industrial Ecosystems for a Knowledge City

2012 ◽  
Vol 4 (3) ◽  
pp. 38-51 ◽  
Author(s):  
Carlos Scheel ◽  
Nathalíe Galeano
Keyword(s):  
Life Cycle ◽  
Well Being ◽  
Sustainable Construction ◽  
Wealth Creation ◽  
Developing Regions ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Synergistic Approach ◽  
External Forces ◽  
Industrial Life Cycle

Economic forces and industrialization are determinant factors in wealth creation; however, an important part of the equation has been omitted by most of the industrial and social players, especially in developing countries. The business cycle’s impact on the environment, on the life cycle assessment, and on the biocapacity of the earth has had a tremendous effect on the equilibrium of all the sub-systems (economic, social, and environmental resources). Based on these systemic requirements, a synergistic approach involving all the stakeholders has been collated and a systemic framework, the Sustainable WIT Model has been developed, and is designed to build “sustainable clusters of high value, globally competitive industries” for developing regions. This paper discusses how the Sustainable WIT Model has been applied to one of the most important industries currently having an impact on economic, social, and environmental ecosystems worldwide - the sustainable construction industry - in a region where it is creating suitable conditions for a city to become part of a knowledge-based economy. The SWIT Model considers the economic growth of the industrial life cycle as a priority, but also includes other external forces that have previously been ignored, such as societal impact, human well-being, and bio capacity, in such a way that the sustainability cycle can be economically viable.

Knowledge-Based Strategies and Systems

2011 ◽  
pp. 1-62 ◽  
Author(s):  
Meir Russ ◽  
J. Greg Jones ◽  
Jeannette K Jones
Keyword(s):  
Knowledge Management ◽  
Life Cycle ◽  
Early Stage ◽  
Management Strategies ◽  
Academic Research ◽  
Business Strategies ◽  
Knowledge Based Systems ◽  
Academic Literature ◽  
Knowledge Based ◽  
New Research

Knowledge management strategies and implementation of knowledge-based systems have gained importance over the last decade. However, many organizations are not able to develop “winning” knowledge-based strategies and others waste signifi- cant monies when the knowledge-based systems they invest in fail to produce the desired results. To address the challenges faced by these organizations, a recently developed framework for strategic dilemmas was proposed by Russ, Jones, and Fineman (2006) to aid in the development of knowledge-based (KB) strategies. The framework (C3EEP) identifies six dilemmas that organizations should balance when considering their knowledge management and business strategies. Examples of such dilemmas include the balance between concealment (secrecy) vs. transparency, complementary vs. destroying, and the balance between exploitation and exploration. The framework compliments the six stages in the life cycle of KB systems (KBS) as identified by the academic literature that discusses the development and implementation of KBS from the information systems (IS) perspective (e.g., Lytras, Pouloudi, & Poulymenakou, 2002; Nissen, Kamel, & Sengupta, 2000). This interaction/ linkage between KB strategies and systems is crucial for the success of both. Academic research supports the complex relationship between the two. However, there is no conclusive formula for managing this relationship to achieve success. The purpose of this study will be to identify crossovers between the two streams (strategy and systems) of research by using a systematic literature review. For example, is the academic literature focusing mostly on the learning aspect (late stage in the life cycle) of the exploration strategy while largely ignoring the discussion about attracting the appropriate knowledge (early stage in the life cycle) for this kind of strategy? Or does the academic literature focus on populating a KBS with appropriate complementary knowledge while largely ignoring the dynamics of the transfer of destroying knowledge (learning aspect)? The authors hope to accomplish three goals in this study: (1) to continue the validation of the two (C3EEP and KBS life cycle) frameworks; (2) to identify new research opportunities; and (3) to focus managerial attention on areas of importance in KB strategies and systems that lack depth of academic discussion.

Legal Knowledge Systems

2011 ◽  
pp. 1161-1166 ◽  
Author(s):  
T. F. Gordon
Keyword(s):  
Life Cycle ◽  
Knowledge Bases ◽  
Knowledge Systems ◽  
Information And Communications Technology ◽  
Legal Knowledge ◽  
Levels Of Abstraction ◽  
Research Issues ◽  
Implementation Phase ◽  
Knowledge Based ◽  
Representation Techniques

There are many conceptions of e-governance (Malkia, Anttiroiko, & Savolainen, 2004; Reinermann & Lucke, 2002). Our view is that e-governance is about the use of information and communications technology to improve the quality and efficiency of all phases of the life cycle of legislation. In this conception, computer models of legislation play a central role. We use the term “model” in a broad way, to cover every kind of data model of legislation or metadata about legislation, at various levels of abstraction or detail, including full text, hypertext, diagrams and other visualization methods, and legal knowledge-bases using Artificial Intelligence knowledge representation techniques. The appropriate kind of model depends on the particular task to be supported. In this article, the focus will be on the use of legal knowledge systems (LKS) to support the implementation phase of the life cycle of legislation. Legal Knowledge Systems are also known as legal knowledge-based systems (LKBS). LKS can greatly improve the correctness, consistency, transparency and, last but not least, the efficiency of the administration of complex legislation. The rest of this article is organized as follows. The next section explains the relevance of legal knowledge systems for governance. This is followed by a section motivating the use of LKS to support tasks in the implementation phase of the life cycle of legislation and providing a brief introduction to LKS technology. Next, various application scenarios for implementing public policy and legislation using LKS are discussed. Although research on technology for legal knowledge systems continues, it is a mature technology with many impressive applications in regular use by public administration. The article concludes by reiterating its main points and identifying open research issues.

Product Life Cycle-Oriented Cloud Process Management Research

2011 ◽  
Vol 120 ◽  
pp. 456-459 ◽  
Author(s):  
Li Sun ◽  
Jian Min Fan ◽  
Zi Qin Ma ◽  
Xiu Lun Wang ◽  
Hao Tan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Process Management ◽  
Cloud Manufacturing ◽  
Product Life ◽  
Knowledge Based ◽  
Network Process ◽  
Service Oriented ◽  
Cloud Process

Based on the philosophy of cloud computing and cloud manufacturing, cloud process management, a new intelligently network process management model, is proposed. And it is service-oriented, highly efficient, and knowledge-based. On the base of the study of contemporary process management, cloud computing, and cloud manufacturing, product life cycle-oriented cloud process management is researched with the survey of a large state-owned enterprise. The cloud process management is initially defined. The structure model of cloud process management is expounded. And the application mode of product life cycle-oriented cloud process management is initially put forward. These establish the foundation for further research.

Virtual engineering: Methods and tools

2005 ◽  
Vol 219 (5) ◽  
pp. 413-421 ◽  
Author(s):  
A Bernard
Keyword(s):  
Life Cycle ◽  
Mass Production ◽  
Product Life Cycle ◽  
Integrated Design ◽  
Point Of View ◽  
Virtual Engineering ◽  
Knowledge Based ◽  
Management Processes ◽  
Design And Manufacturing ◽  
Short Time

This paper presents an overview of actual approaches in virtual engineering, mainly from the design point of view. The evolution of the market has necessitated the reduction of time-to-market, essentially because the product life cycle is shorter, but also because it is very important to proceed more rapidly from an initial conception to a mass production object. As a result of newly evolved software DOI: environments, knowledge-based systems, and product data management, processes for integrated design and manufacturing for new products have emerged. Owing to this evolution of virtual engineering technologies, it has become possible today to validate parts representative of mass production within a very short time. This paper provides an overview of the actual methods and tools in all the components that affect the speed and efficiency of product development, in particular all the possibilities available to the designer, from the earliest stages of a product's life cycle.

TRENDS IN LIFE-CYCLE MODELS FOR SE AND KE: PROPOSAL FOR A SPIRAL-CONICAL LIFE-CYCLE APPROACH

1995 ◽  
Vol 05 (03) ◽  
pp. 445-465 ◽  
Author(s):  
F. ALONSO ◽  
N. JURISTO ◽  
J. PAZOS
Keyword(s):  
Life Cycle ◽  
Software Engineering ◽  
Software Development ◽  
21St Century ◽  
Knowledge Engineering ◽  
Life Cycle Approach ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Knowledge Based ◽  
Technological Tools

The ten-year gap between the emergence of Software Engineering (SE) and Knowledge Engineering (KE) has led to the two disciplines developing along different methodological lines. In this paper, we point out that, after having passed through a period during which they ignored each other, followed by a competitive phase, the two disciplines have now reached a meeting point. We see the need for a life-cycle model for systems that integrate traditional and knowledge-based software. Besides, software development in the 21st century will entail open requirements and technological tools that will evolve during the life-cycle. Finally, the paper discusses a proposal for a conical-type spiral life-cycle model that seeks to meet all those needs.

scholarly journals Fasting Ontology in Pillars of Islam

2018 ◽  
Vol 12 (2) ◽  
pp. 562
Author(s):  
Sara Afiqah Mohd Zailani ◽  
Nurul Aswa Omar ◽  
Aida Mustapha ◽  
Mohd Hisyam Abdul Rahim
Keyword(s):  
Life Cycle ◽  
Expert System ◽  
Search Engine ◽  
Ontology Development ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Instance Search ◽  
The Individual

The development of Fasting Ontology in the Pillars of Islam is presented in this paper and has been built based on reliable sources of Islamic Knowledge. The METHONTOLOGY methodology is used for the ontology development, which include identifying motivation scenarios, creating the competency questions, implementation and evaluation. From the beginning of the development of life cycle, the ontology was appraised from the competency questions and the outcome were clear. Therefore, this ontology can link each concept specifically to the individual verse together with the Tafsir that is related to the topics. The ontology proposed will be part of a larger ontology on Five Pillars of Islam. This development of the ontology is intended to refer to the field of learning for other purpose. For instance, search engine, chatbot, expert system or knowledge-based system.

Sign in / Sign up

Export Citation Format

Share Document