Production Control of a Polymerization Plant Based on Production Performance Indicators

Aller, F., Kandare, G., Blázquez, L.F., Kukanja, D., Jovan, V. & Georgiadis, M.C. (2007). Model-based optimal control of the production of polyvinyl acetate. European congress of chemical engineering - 6, Copenhagen, 16-20 sept. 2007.Search in Google Scholar

Ahmad, M. M. & Dhafr N. (2002). Establishing and improving manufacturing performance measures. Robotics and Computer Integrated Manufacturing, 18(3):171-176.Search in Google Scholar

Bemporad, A., Morari, M. & Ricker, L. (2006). Model Predictive Control Toolbox for Use with MATLAB, The Mathworks, Natwick.Search in Google Scholar

Dangelmaier, W., Fischer, M., Gausemeier, J., Grafe, M., Matysczok, C. & Mueck, B. (2005). Virtual and augmented reality support for discrete manufacturing system simulation. Computers in Industry, 56:371-383.Search in Google Scholar

Folan, P. & Brown, J. (2005). A review of performance measurement: Towards performance management. Computers in Industry, 56:663-680.Search in Google Scholar

Forza C. & Salvador, F. (2001). Information flows for high-performance manufacturing, International Journal of Production Economics, 70:21-36.10.1016/S0925-5273(00)00038-4Search in Google Scholar

Ghalayini, A. M., Noble, J. S. & Crowe, T. J. (1996). An integrated dynamic performance measurement system for improving manufacturing competitiveness, International Journal of Production Economics, 48:207-225.10.1016/S0925-5273(96)00093-XSearch in Google Scholar

Gradišar, D., Zorzut, S. & Jovan, J. (2007). Model-based production, Proceedings of the 6th EUROSIM Congress on Modelling and Simulation. Edited by Zupančič, B., Karba, R. & Blažič, S. Ljubljana 9-13 sept. 2007.Search in Google Scholar

Holt, K. (1999). Management and organization through 100 years. Technovation, 19:135-140.10.1016/S0166-4972(98)00113-8Open DOISearch in Google Scholar

Jovan, V. (2001). The integration of management levels in process industries, Proc. of the 5th Italian Conference on Chemical and Process Engineering, Florence, Italy, May 20-23, 1:453-458.Search in Google Scholar

Larsson T. & Skogestad S. (2000). Plantwide control - a review and a new design procedure. Modeling, Identification and Control, 21(4):209-240.Search in Google Scholar

Maciejowski, J.M. (1989). Multivariable Feedback Design. Addison-Wesley Publishing Company, Wokingham.Search in Google Scholar

Morari, M., Arkun, Y. & Stephanopoulos G. (1980). Studies in the synthesis of control structures for chemical processes. AIChE Journal, 26(2):220-232.10.1002/aic.690260205Open DOISearch in Google Scholar

Morari, M. & Lee, J. H. (1999). Model predictive control: Past, present and future. Computers of Chemical Engineering, 23(4-5):667-682.Search in Google Scholar

Neely, A., Gregory, M. & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4):80-116.Search in Google Scholar

Qin, S.J. & Badgwell, T.A. (2003). A survey of industrial model predictive control technology. Control Engineering Practice, 11(7):733-764.10.1016/S0967-0661(02)00186-7Open DOISearch in Google Scholar

Scherer, E. (1995). Approaches to Complexity and Uncertainty of Scheduling in Process Industries: Process Regulation in Highly Auto-mated Systems, Proceedings of IFAC Symposium on Automated Systems Based on Human Skills, 91-95, Berlin, Germany.10.1016/S1474-6670(17)46707-3Search in Google Scholar

Skogestad, S. (2000). Self-optimizing control: The missing link between steady-state optimization and control. Computers in Chemical Engineering, 24:569-575.Search in Google Scholar

Skogestad, S. (2002). Plantwide control: Towards a systematic procedure. In ESCAPE 12 Symposium, 12:57-69.Search in Google Scholar

Stephanopoulos, G. & Ng, C. (2000). Perspectives on the synthesis of plant-wide control structures. J. of Process Control, 10:97-111.Search in Google Scholar

Suwignjo, P., Bititci, U.S. & Carrie, A.S. (2000). Quantitative models for performance measurement system. Int. J. of Production Economics, 64(1):231-241.Search in Google Scholar

Tatsiopoulos, I. P. & Panayiotou, N. (2000). The integration of activity based costing and enterprise modelling for reengineering purposes, International Journal of Production Economics, 66:33-44.10.1016/S0925-5273(99)00080-8Search in Google Scholar

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, 74:5-20.Search in Google Scholar