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Cognitive Challenges of Changeability: Multi‐Level Flexibility for Operating a Modular Chemical Plant
Author(s) -
Müller Romy,
Urbas Leon
Publication year - 2017
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201700029
Subject(s) - flexibility (engineering) , modular design , computer science , control (management) , risk analysis (engineering) , stability (learning theory) , engineering , control engineering , process management , artificial intelligence , business , machine learning , mathematics , statistics , operating system
Abstract In changeable modular plants, the goal conflicts implied in adjusting the plant to current demands call for flexible strategy selection by operators on three levels: intervention, decision making, and cognitive meta‐control. The first level refers to making appropriate changes to the system. This requires flexibility on the second level. Flexibility in operators' choice of intervention and decision strategies depends on the third level, which enables a balance between stability and flexibility. The challenges resulting from these flexibility requirements are discussed by reviewing the literature on adaptive decision making and action control in volatile environments.