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Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management: Proceedings of PROLAMAT 2006, IFIP TC5 International Conference, June 15-17, 2006, Shanghai, China

Kesheng Wang ; George L. Kovacs ; Michael Wozny ; Minglun Fang (eds.)

Resumen/Descripción – provisto por la editorial

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-0-387-34402-7

ISBN electrónico

978-0-387-34403-4

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© International Federation for Information Processing 2006

Tabla de contenidos

Data Mining in Manufacturing: The Nature and Implications

Kesheng Wang

Recent advances in computers and manufacturing techniques have made it easy to collect and store all kinds of data in manufacturing enterprises. Traditional data analysis methods are no longer the best alternative to be used. The problem is how to enable engineers and managers to understand large amount of data. Data mining approaches have created new intelligent tools for automated extracting, useful information and knowledge. All these changes will have a profound impact on current practices in manufacturing. In this paper the nature and trends of these changes and their implications on product design and manufacturing are discusses.

Part 0. - Keynote Papers | Pp. 1-10

Digital Processes in Product Creation

Gustav J. Olling

This paper underlines the importance of focusing on organization, culture, technology, and education to evolve an expanding global enterprise in today’s complex and dynamic business climate.

Part 0. - Keynote Papers | Pp. 21-25

Collaborative Networks

Luis M. Camarinha-Matos; Hamideh Afsarmanesh

Collaborative networks show a high potential as drivers of value creation. The materialization of this potential however requires further progress in understanding these organizational forms and the underlying principles of this new paradigm. As a contribution in this direction, the notion of collaboration among organizations is clarified, a taxonomy of collaborative networks is proposed, and the basic elements of value creation are discussed, in the context of a holistic approach to collaborative networks.

Part 0. - Keynote Papers | Pp. 26-40

Integrated Quality Information System and China Experience

Xiaoqing Tang; Guijiang Duan

China has been becoming one of the key members in global market, and being a “plant of the world” in the past two decades. Quality is one of the essential factors for Chinese manufacturing industry to success and information technology could assist manufacturing to improve company-wide quality systems. Quality Engineering Laboratory (QEL) of Beihang University (BUAA) has been focusing on research of related methodologies, and developing technologies, and modeling for integrated quality information process to support Chinese manufacturing industry for years. An Integrated Quality Information System (IQIS) — has been developed by QEL for Chinese manufacturing industries, which is a platform with general-purpose quality functions and toolkits. A three-dimensional quality data integration model and a flexible architecture in are proposed in this paper. Success in implementing of proved that QEL technical approach is feasible, efficient and reliable.

Part 0. - Keynote Papers | Pp. 54-61

Evaluation Model of MNEs’ Knowledge Flow Management

Fengming Tao; Weidong Meng

With the brief introduction of knowledge and knowledge flow, this paper pointed out that knowledge flow management is essential for MNEs in such a global and information economy. Three elements affect the knowledge flow in MNEs and the index system is constructed based on these three elements. Evaluation model which is constructed with AHP and fuzzy set is built for MNEs to assess their knowledge flow management.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 71-78

Knowledge Based Manufacturine System

Gideon Halevi; Kesheng Wang

Production management performance relies on data specified by engineers that are neither an economists nor production planners. Therefore, production planning and control becomes a complex task. This paper presents a method where engineer’s task is not to make decisions but rather to prepare a “road map”. Each user will generate routine that meets his needs at the time of need by using KBMS CAPP. Thereby increase dramatically manufacturing efficiency.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 79-88

Knowledge Management in Manufacturing: The Soft Side of Knowledge Systems

Ove R. Hjelmervik; Kesheng Wang

Organizational learning is important for a firm’s productivity growth. According to some literature, information and communication technology (ICT) do not support organizational learning and therefore not enhanced productivity. This research has demonstrated that in the case of manufacturing companies some computer-based systems do support organizational learning.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 89-94

Research on Acquiring Design Knowledge Based on Association Rule

Jingmin Li; Yongmou Liu; Jiawei Yang; Jin Yao

This study presents a method of acquiring product design knowledge. By analyzing the process and mathematics expression of product design, design attributes are taken as item sets and associated relationship among them are taken as analyzing target. Based on the expression and application for domain knowledge, design data are pretreated. Then the correlations knowledge among design attributes is obtained by association rules. A case study is given to illustrate that the method proposed is valid and practicable.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 103-108

Analysis of ISO 6983 NC Data Based on ISO 14649 CNC Data Model

Hiroshi Yamada; Fumiki Tanaka; Masahiko Onosato

Retaining technical information is an important element for performing high quality machining. However, actual NC data (ISO 6983) contain implicit technical information which reflect the skilled worker’s knowledge. In this research, for obtaining technical information, NC data are analyzed based on a next-generation CNC control language (ISO 14649) which contains technical information explicitly. In this paper, we demonstrate how ISO 6983 NC data generated by CAM software are applied to the test implemented system.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 109-114

Enterprise Knowledge Management Based on Plone Content Management System

Chuanhong Zhou; Huilan Zeng

This paper represented a convenient and perfect Knowledge management Information System for enterprises by introducing Knowledge Management (KM) strategy into Content Management System (CMS). A Universal model was put forth on KM under the platform of CMS. In addition, an approach was researched for knowledge Acquisition by classifying under RSS in order to build a perfect Knowledge Process System (KPS). Various functions on KM were performed based on PLONE CMS, which imply the essential of Enterprise Knowledge Management (EKM). This research has a good prospect either in terms of economy or availability.

Part 1. - Knowledge Discovery and Management in Manufacturing | Pp. 115-120