Closed-loop production control of polymerization plant using production KPIs
Management and Control of Production and Logistics, Volume # 4 | Part# 1
Jovan, Vladimir; Zorzut, Sebastjan; Gradisar, Dejan; Dorneanu, Bogdan
Digital Object Identifier (DOI)
production control,productivity,closed-loop control,model-based control
A synthesis of plant-wide control structures is recognized as one of the most important design problem in production management in process industries. This paper proposes a closed-loop control structure with the utilisation of production Key Performance Indicators (KPIs) as possible solution to this problem. Production KPIs represent the translation of operating objectives, such as minimization of production costs, to a set of measurable variables that can then be used in a feedback control. The idea of production feedback control using production KPIs as referenced controlled variables was implemented on a procedural model of a production process for a polymerisation plant. Some preliminary results show usefulness of proposed methodology.
 Ahmad M. M., Dhafr N. (2002): Establishing and improving manufacturing performance measures, Robotics and Computer Integrated Manufacturing 18, Pergamon Press, pp. 171- 176.  DeBusk, G. K., Brown, R. M., Killough, L. N. (2003): Components and relative weights in utilization of dashboard measurement systems like the Balanced Scorecard, The British Accounting Review, Volume 35, Issue 3, pp. 215-231.  Folan, P. and Brown, J., A review of performance measurement: Towards performance management. Computers in Industry, 2005, 56, 663- 680.  Forza C., Salvador F. (2001): Information flow for high-performance manufacturing, Inter. Journal of Production Economics 70, Elsevier Press, pp. 21-36.  Jovan, V., (1999): The Relationship between Planning and Production Activities in Process Industries, Proceedings of the 7th Mediterranean Conference on Control and Automation, June 28-30, 1999, Haifa, Israel, 1999; pp 1982-1989.  Kaplan, R. S., Norton, D. P. (1992): The Balanced Scorecard - Measures that drive performance, Harvard Business Review, January-February, pp. 71-79.  Kaplan, R. S., Norton, D. P. (1996): Translating Strategy into Action: The Balanced Scorecard, Harvard Business School Publishing Corporation, Boston.  Lohman, C., Fortuin, L., Wouters, M. (2004): Designing a performance measurement system: A case study, European Journal of Operational Research 156, Elsevier press, pp. 267-286.  Neely, A., Gregory, M. and Platts, K., Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 1995, 15 (4), 80-116.  Rakar, A., Zorzut, S., Jovan, V. (2004): Assessment of production performance by means of KPI, Proceedings of the Control 2004, 6-9 September, 2004, University of Bath, UK.  Skogestad S. (2000): Self-optimizing control: the missing link between steady-state optimization and control, Computers and Chemical Engineering 24, pp. 569-575.  Skogestad S. (2004): Control structure design for complete chemical plants, Computers and Chemical Engineering 28, pp. 219-234.  Stephanopoulos G., Ng C. (2000): Perspectives on the synthesis of plant-wide control structures, Journal of Process Control 10 (2000), pp 97- 111.  Vicens, E., Alemany M. E., Andres C., Guarch J. J. (2001): A design and application methodology for hierarchical production planning decision support system in an enterprise integration context, Int. Journal of Production Economics 74, Elsevier Press, pp. 5-20.