Complex Adaptive Systems Integrating the Decision Making Process in Industrial Companies: A Scientific Conceptual Model
A company operating in a competitive and ever changing environment that wishes to be recognized as world class requires a management model that affords its executives a systemic vision. This article aims to describe a scientific conceptual model of an integrated support system for decision making (m...
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Published in | Applied Mechanics and Materials Vol. 670-671; no. Applied Mechanics, Materials and Manufacturing IV; pp. 1601 - 1607 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.10.2014
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Subjects | |
Online Access | Get full text |
ISBN | 3038352888 9783038352884 |
ISSN | 1660-9336 1662-7482 1662-7482 |
DOI | 10.4028/www.scientific.net/AMM.670-671.1601 |
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Summary: | A company operating in a competitive and ever changing environment that wishes to be recognized as world class requires a management model that affords its executives a systemic vision. This article aims to describe a scientific conceptual model of an integrated support system for decision making (marketing, production, human resources and finance) for industrial companies based on the rules that originated in the theories and concepts of: (i) systemic administration; (ii) complex adaptive systems; and (iii) optimization methods (more specifically of artificial neural networks, the analytic hierarchy process and linear programing). The proposed model was presented to a group of 10 executives and consultants from industrial companies. The Collective Subject Discourse of these executives includes the possibility of having “tools” that guide their companies to World Class management, although the computerization and automation process of decision making can be “something” difficult and burdensome. |
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Bibliography: | Selected, peer reviewed papers from the 4th International Conference on Applied Mechanics, Materials and Manufacturing (ICA3M 2014, ICAMMM 2014), August 23-24, 2014, Shenzhen, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISBN: | 3038352888 9783038352884 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.670-671.1601 |