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Thesis-2007-Srinivas.pdf (5.96 MB)

Data mining integrated architecture for shop floor control system

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thesis
posted on 2018-07-09, 13:36 authored by Srinivas
Organizations are becoming increasingly complex with emphasis on decentralized decision making. Recent advances in the field of information systems and networking have greatly changed the characteristics of demands from shop floor of an enterprise. It is not only viewed as a production centre but is also considered as a nucleus of information and knowledge. This knowledge may consist of system's behaviour, limitation, capability, etc. Therefore, the manufacturing system must have an information system that facilitates generation, sharing and integration of knowledge for effective and efficient decision making. In the competitive environment, organizational knowledge is not perpetual, but has a lifecycle. Organizational knowledge value deteriorates with time due to changes in the competitive environment. Enterprises generate an avalanche of data and information that may be critical and valuable in nature but hard to manage and leverage properly. Effective decision making in a data-intensive environment is likely to determine future business activities and differentiate a company from its competitors. Knowledge generation, accumulation and maintaining knowledge bases are time-consuming processes but essential to development and successful application of a knowledge base system. [Continues.]

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Publisher

© Srinivas

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2007

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

  • en

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    Mechanical, Electrical and Manufacturing Engineering Theses

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