Managerial Decision Making as an Application for Control Science and Engineering

Tariq Samad, Daniel Y. Abramovitch, Michael Lees, Iven Mareels, R. Russell Rhinehart, Francesco Cuzzola, Benny Grosman, Oleg Gusikhin, Esko Juuso, Bhagyesh V. Patil, Stefan Pickl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The principles and methodology of control science and engineering are relevant beyond engineered systems to all dynamical systems. In this paper we discuss how control terminology and concepts can be interpreted in the context of decision-making by human managers, and the benefits that can accrue from the analogy. Examples of managerial decision making are presented in a control systems context. A selected review of earlier literature in the area is included. The connections of some popular business practices with control principles are reviewed. Points of differentiation, especially human-in-the-loop aspects of managerial control, are highlighted. Two examples, on return-on-investment dynamics and short interval control in process plant operation, are discussed. A number of control concepts are mapped to the management domain, revealing what we hope are useful insights for decision makers. This is the main paper for a tutorial session at the 2022 American Control Conference. An appendix is included that contains abstracts of the other papers and presentations in the session.

Original languageEnglish (US)
Title of host publication2022 American Control Conference, ACC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3071-3081
Number of pages11
ISBN (Electronic)9781665451963
DOIs
StatePublished - 2022
Event2022 American Control Conference, ACC 2022 - Atlanta, United States
Duration: Jun 8 2022Jun 10 2022

Publication series

Name2022 American Control Conference (ACC)

Conference

Conference2022 American Control Conference, ACC 2022
Country/TerritoryUnited States
CityAtlanta
Period6/8/226/10/22

Bibliographical note

Publisher Copyright:
© 2022 American Automatic Control Council.

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