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4273. Decision Support Models for Strategic Decision Making in Industry 4.0
Invited abstract in session WD-45: Planning Techniques for Decision Support, stream Decision Support Systems.
Wednesday, 14:30-16:00Room: 30 (building: 324)
Authors (first author is the speaker)
| 1. | Katarzyna Gdowska
|
| Faculty of Management, AGH University of Krakow |
Abstract
Solving strategic-level decision problems necessitates integrating advanced data analytics and decision support models, which is particularly crucial in the data-driven Industry 4.0. This paper offers an overview of strategic decision challenges across industries, exploring various approaches, optimization problems, and solving techniques. Rather than following the conventional path of reviewing solely peer-reviewed academic publications, this study also systematically surveys industry literature. The nuanced needs and preferences driving strategic decision-making processes are revealed with a deliberate emphasis on decision-makers perspectives over intricate tool presentations. Through this dual review of academic and industry literature, the paper delineates the utilization landscape of decision support methods and tools, elucidating the rationale behind the choices made. This approach illuminates prevailing practices and reveals latent requirements, empowering decision-makers with the insights needed for informed method and tool selection.
Keywords
- Decision Support Systems
- Decision Theory
- Strategic Planning and Management
Status: accepted
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