Problem-oriented Decision Support in Manufacturing Industry

DOI

10.2991/msmi-14.2014.100How to use a DOI?

Keywords

Decision Support, Problem-oriented Knowledge, Reasoning Rules, Control Mechanism.

Abstract

Decision-making in manufacturing organizations involves detecting and attacking problems continuously and hence requires very large volumes of problem-oriented knowledge. This paper firstly analyzes the features of problem knowledge and proposes a series of knowledge-based reasoning rules to yield knowledge from original problem evidence. Then a reasoning mechanism controlling the reasoning process is established on the basis of these rules and embedded to a knowledge-based decision support system (KB-DSS) .The problem-oriented KB-DSS can support the interactive analysis of problems and interpret reasoning results in a format understandable and useful for decision-making process. This combination of problem-oriented knowledge reasoning and traditional decision support system provides useful and effective approaches for management practice in manufacturing industry.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu-Meng Ding
AU  - Yan-Zhong Dang
PY  - 2014/06
DA  - 2014/06
TI  - Problem-oriented Decision Support in Manufacturing Industry
BT  - Proceedings of the 2014 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 568
EP  - 574
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.100
DO  - 10.2991/msmi-14.2014.100
ID  - Ding2014/06
ER  -