Abstract
The study goal is to improve installation performance with knowledge and best practice methodology. Problem formulation, focused on an ultimate target, enables appropriate project harmonization and scheduling allowing selection of optimal tools and methodologies. It provides economic and technical justification for the future project. This low risk and multi-staged approach delivers key project benefit analysis and cost justification, simultaneously limiting initial investment and contractual risks. This chapter describes practical aspects how to conduct the study and how use in practice the knowledge and approaches described in the previous chapters.
I did everything, everything I wanted to.
– Ian Curtis
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ali, M.K.: Assessing economic benefits of advanced control. In: 5th Asian Control Conference, Process Control in the Chemical Industries, Chemical Engineering Department, pp. 146–159. King Saud University, Riyadh, Kingdom of Saudi Arabia (2002)
Bauer, M., Craig, I.K., Tolsma, E., de Beer, H.: A profit index for assessing the benefits of process control. Ind. Eng. Chem. Res. 46(17), 5614–5623 (2007)
Domański, P.D.: Optimization projects in industry—much ado about nothing. In: Proceedings of the VIII National Conference on Evolutionary Algorithms and Global Optimization KAEiOG 2005, Korbielów, Poland (2005)
Domański, P.D.: Non-Gaussian assessment of the benefits from improved control. Preprints of the IFAC World Congress 2017, pp. 5092–5097, Toulouse, France (2017)
Domański, P.D.: Statistical measures for proportional-integral-derivative control quality: simulations and industrial data. Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng. 232(4), 428–441 (2018)
Domański, P.D., Marusak, P.M.: Estimation of control improvement benefit with \(\alpha \)-stable distribution. In: Kacprzyk, J., Mitkowski, W., Oprzedkiewicz, K., Skruch, P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation, vol. 577, pp. 128–137. Springer International Publishing AG (2017)
Domański, P.D., Golonka, S., Marusak, P.M., Moszowski, B.: Robust and asymmetric assessment of the benefits from improved control industrial validation. In: 10th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2018, IFAC-PapersOnLine, vol. 51(18), pp. 815–820 (2018)
Tolfo, F.: A methodology to assess the economic returns of advanced control projects. In: American Control Conference 1983, pp. 1141–1146. IEEE (1983)
Wei, D., Craig, I.: Development of performance functions for economic performance assessment of process control systems. In: 9th IEEE AFRICON, pp. 1–6 (2009)
Zhao, C., Xu, Q., Zhang, D., An, A.: Economic performance assessment of process control: a probability optimization approach. In: International Symposium on Advanced Control of Industrial Processes, pp. 585–590 (2011)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Domański, P.D. (2020). Control Feasibility Study. In: Control Performance Assessment: Theoretical Analyses and Industrial Practice. Studies in Systems, Decision and Control, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-030-23593-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-23593-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23592-5
Online ISBN: 978-3-030-23593-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)