Professor Emeritus Kauko Leiviskä, University of Oulu
References:
Leiviskä, K. 1982. Short term production scheduling of the pulp mill, Doctoral Thesis, Acta Polytechnica Scandinavica, Ma 36. Helsinki, Finland.
Optimizing of the pulp mill operations. 1990. Pre-prints Control Systems 90, International Conference on Instrumentation and Automation in Pulp and Paper Industry, Sept. 18–20, Helsinki, 304–319.
Leiviskä, K. 1999. Millwide Control. In: Leiviskä K. (Editor): Process Control. Papermaking Science and Technology. Book 14. Jyväskylä, Finland. Fapet Oy. pp. 195–245.
Santos, A. and Dourado, A. 1999. Global optimization of energy and production in process industries: a genetic algorithm application. Control Engineering Practice 7:549–554
Leiviskä K. 1996. Benefits of Intelligent Production Scheduling Methods in Pulp Mills. -CESA’96 IMACS Multiconference Computational Engineering in Systems Applications, Symposium on Control, Optimization and Supervision, Lille, 9-12 July, Volume 2 of 2: 1246–1251.
Lasslett, N. 2004. Smart Scheduling of Pulp Mills & Chemical Recoveries. 58th Appita Annual Conference 2004 Proceedings.
Oliveira Santos, M. and Almada-Lobo, B. 2012. Integrated pulp and paper mill planning and scheduling. Computers & Industrial Engineering 63(1):1–12
Figueira, G., Santos, M. O. and Almada-Lobo, B. 2013. A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry. Computers and Operations Research, 1804–1818.
Furlan, M., Almada-Lobo, B., Santos, M. and Morabito, R. 2015. Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines. Computers & Operations Research 59(7):33–50
Goulimis, C., Gomez, L. and Kaukiainen, J. 2014. A new tool for optimisation-based scheduling of pulp mills. ipw online Focus on process & quality control 6(2014):2–4.