Prof. Dr.-Ing. Guido Sand

Prof. Dr.-Ing.

Guido Sand






Do. 11:30 - 13:00 Uhr, Raum T2.4.15


(07231) 28-6568



Modellierung, Analyse und Optimierung komplexer Systeme ,  Operation Research , 

2003 - Dr.-Ing., chemical engineering
Universität Dortmund

1998 - Dipl.-Ing., chemical engineering
Universität Dortmund

since 2016 - Hochschule Pforzheim - Germany


2006 - 2016 - ABB Forschungszentrum - Germany

2004 - 2006 - Universität Dortmund - Germany

senior researcher

Journal article

HADERA, H., EKSTROEM, J., SAND, G., MÄNTYSAARI, J., HARJUNKOSKI, I., & ENGELL , S. (2019). Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition. Computers and Chemical Engineering, 129.

ISAKSSON, A. J., HARJUNKOSKI, I., & SAND, G. (2018). The impact of digitalization on the future of control and operations. COMPUTERS & CHEMICAL ENGINEERING, 114, 122-129. doi:

BARTH, M., & SAND, G. (2017). Der virtuelle Zwilling im digitalen Anlagenbau . Industrie 4.0 Management, 33 (02-2017), pp. 7-10.

BIONDI, M., SAND, G., & HARJUNKOSKI, I. (2017). Optimization of multipurpose process plant operations: A multi-time-scale maintenance and production scheduling approach. COMPUTERS & CHEMICAL ENGINEERING, 99, 1-15. doi:

HADERA, H., LABRIK, R., SAND, G., ENGELL, S., & HARJUNKOSKI, I. (2016). An Improved Energy-Awareness Formulation for General Precedence Continuous-Time Sched-uling Models. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 55, 1336–1346.

CHIOUA, M., BAUER, M., CHEN, S., SCHLAKE, J., SAND, G., SCHMIDT, W., & THORNHILL, N. (2015). Plant-wide root cause identification using plant key performance indicators (KPIs) with applica-tion to a paper machine. CONTROL ENGINEERING PRACTICE, 149–158.

MERKERT, L., HARJUNKOSKI, I., ISAKSSON, A., SÄYNEVIRTA, S., SAARELA, A., & SAND, G. (2015). Scheduling and energy – Industrial challenges and opportunities. Computers and Chemical Engineering, 72, pp. 183 – 198.

HADERA, H., HARJUNKOSKI, I., SAND, G., GROSSMANN, I., & ENGELL, S. (2015). Optimization of steel production scheduling with complex time-sensitive electricity cost. Computers and Chemical Engineering, 76, pp. 117-136.

HARJUNKOSKI, I., MARAVELIAS, C., BONGERS, P., CASTRO, P., ENGELL, S., GROSSMANN, I., ... WASSICK, J. (2014). Scope for industrial applications of production scheduling models and solution methods. Computers and Chemical Engineering, 62, pp. 161 – 193.

SAND, G., & TERWIESCH, P. (2013). Closing the loops: An industrial perspective on the present and future impact of control. EUROPEAN JOURNAL OF CONTROL, 19, 341 – 350.

XU, C., SAND, G., HARJUNKOSKI, I., & ENGELL, S. (2012). A new heuristic for plant-wide schedule coordination problems: The intersection coordination heuristic. Computers and Chemical Engineering, pp. 152–167.

URSELMANN, M., BARKMANN, S., SAND, G., & ENGELL, S. (2011). A Memetic Algorithm for Global Optimization in Chemical Process Synthesis Problems. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 15, 659 – 683.


SAND, G. (2004). Echtzeitoptimierung von Belegungsplänen für flexible Batchanlagen.

Chapter in Book

SAND, G. (2008). Engineered mixed-integer programming in chemical batch scheduling. In: (Hrsg.): . In S. Engell (Ed.), Logistic Optimization of Chemical Production Processes (pp. 137-161). John Wiley and Sons.

SAND, G., TILL, J., & ENGELL, S. (2008). Stochastic integer programming in uncertainty conscious scheduling. In S. Engell (Ed.), Logistic Optimization of Chemical Production Processes (pp. 137-161). John Wiley and Sons.

TYLKO, M., BARKMANN, S., SAND, G., SCHEMBECKER, G., & ENGELL, S. (2006). Synthesis of reactive separation processes. In H. Schmidt-Traub und A. Gorak (Ed.), Process Intensification by Integrated Reaction and Separation Operations (pp. 7-94). Springer.

ENGELL, S., MÄRKERT, A., SAND, G., SCHULTZ, R., & SCHULZ, C. (2001). Online scheduling of multiproduct batch plants under uncertainty. In M. Grötschel, S. Krumke und J. Rambau (Eds.), Online Optimization of Large Scale Systems (pp. 649-676). Springer.

Article in Proceeding

SAND, G., KOLHE, P., REIMSCHÜSSEL, S., & SPINDLER, A. (2019). Autonomisierung von Produktionssystemen des Mittelstands Fortschritte im Innovationsnetzwerk "Digitale Zukunft der Automatisierung"., Angewandte Automatisierungstechnik in Lehre und Entwicklung AALE 2019 (pp. 117-124).

SAND, G., BARTH, M., & WEXEL, M. (2017). Digitale Zukunft der Automatisierung - Aufbau eines Innovationsnetzwerks für die Region Nordschwarzwald. In Jörg Reiff-Stephan (Ed.), AALE 2017 - Angewandte Automatisierungstechnik in Lehre und Entwicklung (pp. 261-264).

SAND, G., ENGELL, S., MERKERT, A., & SCHULTZ, R. (2004). Applied stochastic integer programming: Scheduling in the processing industries. In H.G. Bock, E. Kostina, X.P. Hoang und R. Rannacher (Eds.), International Conference on High Performance Scientific Computing (pp. 441-450). Springer.

ENGELL, S., MÄRKERT, A., SAND, G., & SCHULTZ, R. (2002). Production planning in a multiproduct batch plant under uncertainty. In A. Anile, V. Capasso und A. Greco (Eds.), Progress in Industrial Mathematics at ECMI 2000 (pp. 526-531).