NDLI: Implementation of a Knowledge-Based System for Automatic Part Numbering in a Logistics Information System

Content Provider	IEEE Xplore Digital Library
Author	Pang-Yen Hsu Shao-Ping Ma Fu-Chun Sun Yun-Kung Chung
Copyright Year	2006
Description	Author affiliation: Ind. Eng. Dept., Yuan-Ze Univ., Chung-li (Pang-Yen Hsu; Shao-Ping Ma; Fu-Chun Sun; Yun-Kung Chung)
Abstract	In order to perform a "lean and agile" manufacturing plant, functions of a logistics system must be advanced to rapidly respond to the marketing requirements. Based on this viewpoint, this paper presents an intelligent automatic part number generation system developed on a client-server information structure. Up to now, almost all of the commercialized parts numbering systems still need first to manually identify a part number, and then to type the number into a computer; moreover, they are not built with a modern electronic commerce (EC) design tools, e.g., ASP.NET. This manual work may cause a serious problem of the inaccurate data processing. To overcome this problem, this paper proposes an experimental intelligent part numbering system in the form of a knowledge-based structure. The structure was constructed with an object-oriented BOM (bill of materials) database in which the features of components (parts) can be visually judged and automatically numbered by a set of part number production rules stored in the knowledge base. If numbers of parts and their assembled product(s) can be encoded automatically and accurately, it not only greatly saves the workmanship, but also properly handles the part inventory management, purchasing policy and cost control in a logistics information system
Starting Page	1024
Ending Page	1029
File Size	6255890
Page Count	6
File Format	PDF
ISBN	1424403170
DOI	10.1109/SOLI.2006.328892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Agile manufacturing BOM Knowledge based systems Bills of materials Artificial Intelligence Data processing Rule-based Knowledge System Intelligent structures Electronic commerce Information systems Intelligent systems Commercialization Logistics Lean and Agile Production
Content Type	Text
Resource Type	Article

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