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A heteromorphic paradigm for network...
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Wang, Qing.
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A heteromorphic paradigm for networked production system.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A heteromorphic paradigm for networked production system./
作者:
Wang, Qing.
面頁冊數:
194 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5376.
Contained By:
Dissertation Abstracts International65-10B.
標題:
Engineering, System Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3151518
ISBN:
0496114336
A heteromorphic paradigm for networked production system.
Wang, Qing.
A heteromorphic paradigm for networked production system.
- 194 p.
Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5376.
Thesis (Ph.D.)--Hong Kong Polytechnic University (People's Republic of China), 2004.
The globalization of manufacturing has brought extensive changes to the Production Management System (PMS) of enterprises. In this thesis, the new role of PMS is investigated from four aspects: the framework of the PMS, the development model, the development platform and production operations management.
ISBN: 0496114336Subjects--Topical Terms:
1018128
Engineering, System Science.
A heteromorphic paradigm for networked production system.
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This research defines a new framework for PMS as the Networked Joint Production System (NJPS). The NJPS is derived from the new concept of 'Joint Production'. It aims to integrate independent manufacturing enterprises at the production level through intelligent collaboration on the business logic.
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To represent the NJPS, a new development model---Hierarchical Multi-Views Model (HMVM) has been designed. The HMVM is applied to describe the NJPS in a heteromorphic paradigm. The HMVM may be customized for any kind of system development platform.
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To support implementing NJPS, an XML-based (eXtensible Markup Language) General Reconfigurable Agent Model (GRAM) is proposed for designing and implementing Agent-Based System (ABS) in the NJPS. It may be used as a platform for developing intelligent applications and integrating with a traditional legacy system. The GRAM offers agent-clients more facilities to utilize agent resources through controllable XML-based communication.
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To support decisions on the Production Operations Management (POM) in NJPS, various intelligent applications may be implemented with the ABS based on the proposed GRAM. An Order Dispatching Problem (ODP) is selected as a key point in the order management. Two mathematical models have been designed to solve the ODP. The usage rate of parts inventory has been considered in the two models, which is an important factor in the production management. In terms of solving the two models, two optimization methods have been applied and improved: the Neural Network by a heuristic mechanism and a Genetic Algorithm by embedding a pattern-based evolving mechanism. The experiments showed that the designed algorithms could find satisfactory solution to the ODP within an acceptable time.
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