HEKM: A High-End Equipment Knowledge Management System for Supporting Knowledge-Driven Decision-Making in New Product Development

2018 ◽  
Author(s):  
Chao Zhang ◽  
Guanghui Zhou ◽  
Quandong Bai ◽  
Qi Lu ◽  
Fengtian Chang
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
Management System ◽  
New Product ◽  
Decision Makers ◽  
Knowledge Management System ◽  
Personalized Pagerank ◽  
Knowledge Resources

Pre-existing knowledge buried in high-end equipment manufacturing enterprises could be effectively reused to help decision-makers develop good judgements to make decisions about the problems in new product development, which in turn speeds up and improves the quality of product innovation. Nevertheless, a knowledge-based decision support system in high-end equipment domain is still not fully accomplished due to the complication of knowledge content, fragmentation of knowledge theme, heterogeneousness of knowledge format, and decentralization of knowledge storage. To address these issues, this paper develops a high-end equipment knowledge management system (HEKM) for supporting knowledge-driven decision-making in new product development. HEKM provides three steps for knowledge management and reuse. Firstly, knowledge resources are captured and structured through a standard knowledge description template. Then, OWL ontologies are employed to explicitly and unambiguously describe the concepts of the captured knowledge and also the relationships that hold between those concepts. Finally, the Personalized PageRank algorithm together with ontology reasoning approach is used to perform knowledge navigation, where decision-makers could acquire the most relevant knowledge for a given problem through knowledge query or customized active push. The feasibility and effectiveness of HEKM are demonstrated through three industrial application examples.

A new fuzzy decision-making approach for selecting new product development project

2016 ◽  
Vol 24 (3) ◽  
pp. 240-250 ◽  
Author(s):  
Chiu-Chi Wei ◽  
Agus Andria ◽  
Houn-Wen Xiao ◽  
Chiou-Shuei Wei ◽  
Ting-Chang Lai
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Product Development Project

scholarly journals Product Portfolio Management: An Important Business Strategy

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Mishelle Doorasamy
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Portfolio Management ◽  
Business Strategy ◽  
New Product ◽  
Product Portfolio ◽  
Historical Developments ◽  
Statistical Trends ◽  
The Relationship

Abstract The aim of this article is to provide reader with a comprehensive insight on the theories, empirical findings and models of Product Portfolio Management (PPM) during new product development. This article will allow for an in-depth theoretical approach on PPM and demonstrate to managers the importance of adopting PPM as business strategy during decision making. The objective of this paper is to present a literature review of models, theories, approaches and findings on the relationship between Product Portfolio Management and new product development. Relevant statistical trends, historical developments, published opinion of major writers in this field will be presented to provide concrete evidence of the problem being discussed.

Globalised Adoption of Knowledge Management in New Product Development: A Conceptual Framework from Project Management Perspective

2021 ◽  
Vol 12 (1) ◽  
pp. 37-37
Author(s):  
Bak Aun Teoh ◽  
Wei Hong Ling ◽  
Amlus Ibrahim
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Product Development ◽  
New Product Development ◽  
Success Factors ◽  
Market Competition ◽  
New Product ◽  
Development Project ◽  
Team Members ◽  
The Impact

The growth in new knowledge and technology has substantially increased the complexity of the projects that is strongly influencing the time, cost, and quality of the project management. Due to the volatility of the current market, the effectiveness of knowledge management (KM) could reduce the project uncertainties, project life cycle costs, and risks of new product development (NPD). Since NPD is regarded as the key to innovation due to its strong connection between the knowledge and core competence, the ways how the knowledge will be captured, created, and shared among the project teams is important to remain competitive in today's business and market competition. Hence, the modes of how they are created and shared between the project team members as well as the impact of KM towards NPD will be discussed in this paper. KM are normally created and transferred through the conversion between explicit and tacit knowledge, which can be further applied into the project management. Furthermore, the existing knowledge of the organisation can be evaluated by the actions of decision makers, hence, it is undoubted that a better knowledge can lead to measurable efficiencies in production and product development. The key success factors of KM that have been implemented will be discussed in this paper as well, which help to increase the probability of project success. Keywords: New Product Development; Project Management; Knowledge Management; Globalisation

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