An Ontological Approach to Integrated Product and Process Knowledge Modeling for Intelligent Design Repositories

2013 ◽  
pp. 825-834 ◽  
Author(s):  
Farhad Ameri ◽  
Stephen Allen
Keyword(s):  
Intelligent Design ◽  
Knowledge Modeling ◽  
Process Knowledge ◽  
Ontological Approach ◽  
Product And Process Knowledge ◽  
Product And Process

Towards Holistic Traceability Solution

2014 ◽  
Vol 5 (1) ◽  
pp. 24-38 ◽  
Author(s):  
Usman Durrani ◽  
Zijad Pita ◽  
Joan Richardson ◽  
John Lenarcic
Keyword(s):  
Product Knowledge ◽  
Software Development Process ◽  
Holistic Model ◽  
Process Knowledge ◽  
Meta Model ◽  
Practical Guidelines ◽  
Product And Process Knowledge ◽  
Product And Process ◽  
Definition Of ◽  
Leading Journals

The purpose of traceability is to ensure persistent alignment of product knowledge between stakeholders, artifacts, and traceability objects. On the other hand, process knowledge is equally important to ensure a systematic software development process with accurate specification and verifiable quality attributes. Previous studies lacks in presenting a consolidated view from product and process knowledge perspectives. This study has taken a systematic literature review approach to evaluate sixty one previously published papers on traceability in leading journals and conferences. Based on the findings, the authors propose to extend the definition of an existing traceability meta-model to combine both product and process knowledge perspectives. The scope of this paper is to define the extension of the traceability meta-model without violating any of its statements. This study aims to contribute by taking steps towards defining a holistic model of traceability that will provide practical guidelines to IT practitioners in general and to process engineers in particular.

An Exploratory Study on Knowledge Management Characteristics and Challenges in Mass Customisation

2005 ◽  
Vol 04 (03) ◽  
pp. 157-165
Author(s):  
Sung-Eui Cho ◽  
Won Jun Lee ◽  
Jonguk Kim
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Exploratory Study ◽  
Business Environment ◽  
Process Knowledge ◽  
Mass Customisation ◽  
Knowledge Processes ◽  
Company Directors ◽  
Product And Process Knowledge ◽  
Product And Process

The characteristics of knowledge management (KM) in mass customisation were newly extracted and the effect of those characteristics on KM performance was examined through case studies in this research. The firms implementing mass customisation are good cases adopting recent changes in business environment including increased variability of customer needs, technologies, and increase of the need for KM. From the results of this research, several differentiated characteristics compared to the cases not implementing mass customisation were extracted. These include: (1) extended scope of KM (customer, product and process knowledge); (2) increase in the volume of knowledge and knowledge processes; and (3) increase in the need for knowledge flexibility and knowledge variability. In addition, it was found that the capability to manage these characteristics positively affected KM performance in mass customisation. Therefore, firms intending to implement KM for mass customisation need to consider the differentiated characteristics of KM. Research was conducted through interviews with company directors or managers in charge of KM in selected companies implementing mass customisation.

An Ontological Approach to Enterprise Knowledge Modeling in a Shipping Company

2011 ◽  
Vol 7 (4) ◽  
pp. 70-84
Author(s):  
Sung-kwan Kim ◽  
Joe Felan ◽  
Moo Hong Kang
Keyword(s):  
Knowledge Management ◽  
Organizational Knowledge ◽  
Modeling Language ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Holistic View ◽  
Knowledge Resources ◽  
Shipping Company ◽  
Knowledge Models ◽  
Ontological Approach

Modeling approaches are gaining popularity in knowledge management (KM), especially in specifying knowledge contents. This paper addresses the enterprise knowledge modeling. An enterprise knowledge model provides users with an integrated, holistic view of organizational knowledge resources. Employing a reliable methodology is critical to building successful enterprise knowledge models. A good methodology provides an effective and efficient mechanism for developing a model. This paper first reviews the enterprise knowledge modeling (EKM) and its methodologies. An ontology-based EKM (OBEKM) methodology is proposed. Its products, procedures, and modeling language are described. The methodology is then applied to the construction of a shipping company’s knowledge model for demonstration.

An Ontological Approach to Managing Project Memories in Organizations

2011 ◽  
pp. 233-261 ◽  
Author(s):  
Davy Monticolo ◽  
Vincent Hilaire ◽  
Samuel Gomes ◽  
Abderrafiaa Koukam
Keyword(s):  
Mechanical Design ◽  
Domain Ontology ◽  
Organizational Memory ◽  
Knowledge Modeling ◽  
Distributed Knowledge ◽  
Agent Model ◽  
Professional Activities ◽  
Ontological Approach ◽  
Multi Agent

Knowledge Management (KM) is considered by many organizations a key aspect in sustaining competitive advantage. In the mechanical design domain, the KM facilitates the design of routine product and brings a saving time for innovation. This chapter describes the specification of a project memory as an organizational memory to specify knowledge to capitalize all along project in order to be reuse. Afterwards it presents the design of a domain ontology and a multi agent system to manage project memories all along professional activities. As a matter of fact, these activities require that engineers, with different specialities, collaborate to carry out the same goal. Inside professional activities; they use their knowhow and knowledge in order to achieve the laid down goals. The professional actors competences and knowledge modeling allows the design and the description of agents’ know-how. Furthermore, the paper describes the design of our agent model based on an organisational approach and the role of a domain ontology called OntoDesign to manage heterogeneous and distributed knowledge.

scholarly journals Use of Knowledge-Based Engineering in Compressor Rotor Design

1995 ◽  
Author(s):  
John Marra
Keyword(s):  
Design Process ◽  
Concurrent Engineering ◽  
Synergistic Effects ◽  
General Description ◽  
Knowledge Based ◽  
Compressor Rotor ◽  
Product And Process Knowledge ◽  
Knowledge Based Engineering ◽  
Product And Process ◽  
Use Of Knowledge

Competitive pressures are forcing manufacturers of turbine engines to reduce product development times, minimize design iterations, and react rapidly to changing markets and customers. Concurrent Engineering replaces the traditional sequential design process with parallel efforts in multiple disciplines, increasing product quality while reducing leadtime. Knowledge-Based Engineering captures product and process knowledge contained in the “corporate memory” to enhance and accelerate the design process. Linking the two together provides a wide variety of synergistic effects not separately available. In this paper a general description of the process used to create a Knowledge Based Engineering (KBE) System capable of Concurrent Engineering (CE) will be presented, along with selected results. The summary discusses use of the system created to pursue real world design problems.

Requirement-Driven Design Processes With Integrated Knowledge Structures

2003 ◽  
Author(s):  
Staffan Sunnersjo¨ ◽  
Ingvar Rask ◽  
Rafael Amen
Keyword(s):  
Information Structure ◽  
Product Information ◽  
Knowledge Structures ◽  
Product Development Process ◽  
Information Structures ◽  
Product Models ◽  
Product And Process Knowledge ◽  
Product And Process ◽  
The Right ◽  
High Degree

Customer requirements provide objectives and constraints for all phases of the product development process. For complex system products with a high degree of customization, it is no mean task to ensure that the right persons at the right time have ready access to the selected requirement specifications that they should adhere to and strive to satisfy. In the present work a systematic sequence of development phases associated with computer implemented information structures for requirements, functions and systems have been studied at three companies with widely different products and business scenarios. Although individual adaptations are required, the overall processes for requirement decomposition and propagation appear surprisingly similar. To fully exploit the potential of such information systems, many companies would benefit from also including knowledge structures in their product models. Fundamental product and process knowledge often evolves slowly over time, can be gradually upgraded and be reused many times. It also constitutes one of the company’s most valuable assets and should be carefully maintained and enhanced. In the work presented here a few different approaches to integrating knowledge structures into the total product information structure have been developed and exemplified for the three companies studied.

An Ontological Approach to Managing Project Memories in Organizations

2009 ◽  
pp. 244-269 ◽  
Author(s):  
Davy Monticolo ◽  
Vincent Hilaire ◽  
Samuel Gomes ◽  
Abderrafiaa Koukam
Keyword(s):  
Mechanical Design ◽  
Domain Ontology ◽  
Organizational Memory ◽  
Knowledge Modeling ◽  
Distributed Knowledge ◽  
Agent Model ◽  
Professional Activities ◽  
Ontological Approach ◽  
Multi Agent

Knowledge Management (KM) is considered by many organizations a key aspect in sustaining competitive advantage. In the mechanical design domain, the KM facilitates the design of routine product and brings a saving time for innovation. This chapter describes the specification of a project memory as an organizational memory to specify knowledge to capitalize all along project in order to be reuse. Afterwards it presents the design of a domain ontology and a multi agent system to manage project memories all along professional activities. As a matter of fact, these activities require that engineers, with different specialities, collaborate to carry out the same goal. Inside professional activities; they use their knowhow and knowledge in order to achieve the laid down goals. The professional actors competences and knowledge modeling allows the design and the description of agents’ know-how. Furthermore, the paper describes the design of our agent model based on an organisational approach and the role of a domain ontology called OntoDesign to manage heterogeneous and distributed knowledge.

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