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Methodology of Shaping the Agility of the Intelligent Autonomous Environment Management System

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Human Systems Engineering and Design (IHSED 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 876))

Abstract

Intelligent Autonomous Environment (IAE) is a complex of intelligent buildings. It is a smart system. Any project requires management system. Our interest is about equipping management system of IAE into features of agility. Agility is characterized by its four dimensions: brightness, flexibility, intelligence and shrewdness. Agile systems are focused on recognition and using opportunities. This gives them competitive advantage in turbulent environment as such environment generates both threats and opportunities. To design an agile system a methodology is needed. What we propose is to use an ontological approach to decompose the four dimensions into functions oriented on agility. This paper is limited only to two of the dimensions namely brightness and shrewdness.

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Author information

Authors and Affiliations

  1. Faculty of Engineering Management, Poznan University of Technology, ul. Strzelecka 11, 60-965, Poznan, Poland

    Stefan Trzcielinski, Jowita Trzcielinska, Edmund Pawlowski & Krystian Pawlowski

Authors
  1. Stefan Trzcielinski
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  2. Jowita Trzcielinska
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  3. Edmund Pawlowski
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  4. Krystian Pawlowski
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Corresponding author

Correspondence to Stefan Trzcielinski .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Université de Reims Champagne-Ardenne, Reims, France

    Redha Taiar

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Trzcielinski, S., Trzcielinska, J., Pawlowski, E., Pawlowski, K. (2019). Methodology of Shaping the Agility of the Intelligent Autonomous Environment Management System. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_100

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