Utilization of key performance indicators in production control
Applications of Large Scale Industrial Systems, Volume # 1 | Part# 1
Authors
Vladimir Jovan; Sebastjan Zorzut; Alenka Znidarsic
Digital Object Identifier (DOI)
10.3182/20060830-2-SF-4903.00031
Page Numbers:
173-178
Index Terms
production control,productivity,decision support systems,closed-loop control,model-based control
Abstract
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.
References
[1] Ahmad M. M., Dhafr N. (2002): Establishing and
improving manufacturing performance
measures, Robotics and Computer Integrated
Manufacturing 18, Pergamon Press, pp. 171-
176.
[2] 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.
[3] Forza C., Salvador F. (2001): Information flow for
high-performance manufacturing, Inter. Journal
of Production Economics 70, Elsevier Press, pp.
21-36.
[4] 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.
[5] Kaplan, R. S., Norton, D. P. (1992): The Balanced
Scorecard - Measures that drive performance,
Harvard Business Review, January-February,
pp. 71-79.
[6] Kaplan, R. S., Norton, D. P. (1996): Translating
Strategy into Action: The Balanced Scorecard,
Harvard Business School Publishing
Corporation, Boston.
[7] 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.
[8] Rakar, A., Zorzut, S., Jovan, V. (2004): Assesment
of production performance by means of KPI,
Proceedings of the Control 2004, 6-9
September, 2004, University of Bath, UK.
[9] Skogestad S. (2000): Self-optimizing control: the
missing link between steady-state optimization
and control, Computers and Chemical
Engineering 24, pp. 569-575.
[10] Skogestad S. (2004): Control structure design for
complete chemical plants, Computers and
Chemical Engineering 28, pp. 219-234.
[11] Stephanopoulos G., Ng C. (2000): Perspectives on
the synthesis of plant-wide control structures,
Journal of Process Control 10 (2000), pp. 97-
111.
[12] 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.
