A Design Knowledge Management Framework for Active Design Support

1999 ◽  
Author(s):  
Gundong Francis Pahng ◽  
Sungdo Ha ◽  
Sehyung Park
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
Information Modeling ◽  
Design Knowledge ◽  
Design Decisions ◽  
Design Support ◽  
Management Framework ◽  
Critical Design ◽  
Starting Point ◽  
Active Design

Abstract Product design is a knowledge-intensive activity. Many product development companies have recognized that design knowledge obtained by individual designers is a valuable asset to a company for enhancing the competitiveness of products the company designs and produces. Therefore, companies are becoming more concerned with the effective use of design knowledge accumulated over previous design practices and the qualitative and quantitative utilization of the knowledge toward the rapidly changing market. This paper presents a design knowledge management framework called Active Design Support (ADS). ADS framework is aimed to provide designers with critical design knowledge and guide them toward rational design decisions based upon relevant design errors and successful design decisions in the past during product development processes. Based upon a formal information modeling for managing design information, ADS framework determines and proactively provides the critical design knowledge for designers. To provide an intuitive starting point for retrieving design knowledge, ADS framework also provides a set of different viewpoint, called Knowledge Perspective, for browsing the knowledge base of ADS framework.

Knowledge Tracing Modeling for Product Design Knowledge Management

2013 ◽  
Vol 483 ◽  
pp. 506-509
Author(s):  
Dong Min Zhang ◽  
Zi Chao Yin ◽  
Yu Chun Xu
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
Product Design ◽  
Manufacturing Industries ◽  
Design Knowledge ◽  
Advanced Manufacturing ◽  
Knowledge Application ◽  
Complex Process ◽  
Knowledge Tracing ◽  
Complex Relationships

Knowledge management in advanced manufacturing industries is a complex process. The paper analyzes knowledge application scenarios in product development processing. There are complex relationships between knowledge, product, process and designers, which four key elements are proposed for knowledge tracing modeling. Knowledge tracing modeling based four key elements for product design knowledge management is studied carefully. The research for knowledge tracing modeling will enable software function development.

scholarly journals Product family design knowledge representation, aggregation, reuse, and analysis

2007 ◽  
Vol 21 (2) ◽  
pp. 173-192 ◽  
Author(s):  
JYOTIRMAYA NANDA ◽  
HENRI J. THEVENOT ◽  
TIMOTHY W. SIMPSON ◽  
ROBERT B. STONE ◽  
MATT BOHM ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Product Design ◽  
Product Family ◽  
Database Schema ◽  
Design Knowledge ◽  
Formal Concept ◽  
Product Family Design ◽  
Product Families ◽  
Management Framework ◽  
Design Information

A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, information captured while designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family design information into a unified network, which is called a networked bill of material (NBOM) using formal concept analysis (FCA); encode the NBOM as a cyclic, labeled graph using the Web Ontology Language (OWL) that designers can use to explore, search, and aggregate design information across different phases of product design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central design repository of product design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting designers search, explore, and analyze linguistic and parametric product family design information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.

scholarly journals KNOWLEDGE MANAGEMENT FRAMEWORK FOR INTEGRATING BIOMEDICINE INTO THE NEW PRODUCT DEVELOPMENT

2017 ◽  
Vol 27 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Jesus-Manuel Barragan-Ferrer ◽  
Diana Barragan-Ferrer ◽  
Rene Lopez-Flores ◽  
Guillermo Cortes-Robles ◽  
Ingrida Viliušienė ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
Scientific Knowledge ◽  
New Product ◽  
Management Framework ◽  
Efficient Management ◽  
Collaborative Environment ◽  
Innovative Products

In this article, a knowledge management framework is proposed as a strategy to improve the new product development (NPD) process through the integration and application of scientific knowledge and experience of biomedicine. The framework provides efficient management of the knowledge developed through the NPD activities, it creates a collaborative environment to promote innovation, and it provides the mechanism to integrate the knowledge of biomedicine to increase interdisciplinary scientific knowledge to create new opportunities for the development of innovative products.

A Study of the Innovative Produce Design with the Laser Engraving Technology

2013 ◽  
Vol 711 ◽  
pp. 741-746
Author(s):  
Rui Lin Lin
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
New Products ◽  
Design Knowledge ◽  
Innovative Product ◽  
Innovative Design ◽  
Innovative Products ◽  
Processing Material ◽  
Integrate Design ◽  
Future Reference

This study applied the idea of innovative design to integrate design aesthetics into models and colors of products through brain storming to help proprietors develop new products, for the purposes of reaching the breadth of processing material applications and the depth of innovative product development and improving creativity and aesthetics of laser-engraved products. Secondly, the idea of knowledge management was applied in this study. Some experts lead the creative teams to propose delicate graphics and creative ideas based on proprietors requirements in innovative products, for systematical categorizations and analyses to build a design knowledge base as a future reference of innovative product design for enterprises to improve their competitiveness in markets.

scholarly journals Making design decisions under uncertainties: probabilistic reasoning and robust product design

2021 ◽  
Author(s):  
Paul Christoph Gembarski ◽  
Stefan Plappert ◽  
Roland Lachmayer
Keyword(s):  
Product Development ◽  
Product Life Cycle ◽  
Probabilistic Reasoning ◽  
Late Phase ◽  
Development Project ◽  
Product Development Process ◽  
Bayesian Decision ◽  
Rotary Valve ◽  
Design Decisions ◽  
Decision Network

AbstractMaking design decisions is characterized by a high degree of uncertainty, especially in the early phase of the product development process, when little information is known, while the decisions made have an impact on the entire product life cycle. Therefore, the goal of complexity management is to reduce uncertainty in order to minimize or avoid the need for design changes in a late phase of product development or in the use phase. With our approach we model the uncertainties with probabilistic reasoning in a Bayesian decision network explicitly, as the uncertainties are directly attached to parts of the design artifact′s model. By modeling the incomplete information expressed by unobserved variables in the Bayesian network in terms of probabilities, as well as the variation of product properties or parameters, a conclusion about the robustness of the product can be made. The application example of a rotary valve from engineering design shows that the decision network can support the engineer in decision-making under uncertainty. Furthermore, a contribution to knowledge formalization in the development project is made.

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