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Modellierung, Analyse und Optimierung komplexer Systeme ,  Operation Research , 

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

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

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since 2016 - Hochschule Pforzheim - Germany

Professor

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2006 - 2016 - ABB Forschungszentrum - Germany

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2004 - 2006 - Universität Dortmund - Germany

senior researcher

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Journal article

SAND, G., REIMSCHÜSSEL, S., SCHAAN, J., WANKO, S., WAFFENSCHMIDT, R. (2021). Optimale Produktions- und Personaleinsatzplanung. Inkrementelle mathematische Modellierung. atp Magazin (03), pp. 86-93.

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:https://doi.org/10.1016/j.compchemeng.2017.10.037.

BARTH, M., SAND, G. (2017). Der virtuelle Zwilling im digitalen Anlagenbau. Notwendige Standards für den Austausch von Simulationsmodellen über Gewerkegrenzen hinweg. 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:http://dx.doi.org/10.1016/j.compchemeng.2017.01.007.

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.

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Dissertation

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

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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.

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Article in Proceeding

SAND, G., REIMSCHÜSSEL, S., FUCHS, U. (2022). Optimierte Produktionsplanung von Trommelgalvanikanlagen. In Christian Härle, Jens Jäkel, Guido Sand (Eds.), Tagungsband AALE 2022 (pp. 63-72).

SAND, G., HERDT, A., SCHEIDIG, M., JENTNER, C. (2022). CPLEX-basierte Produktionsablaufplanung. In Christian Härle, Jens Jäkel, Guido Sand (Eds.), Tagungsband AALE 2022 (pp. 73-82).

HILDEBRANDT, G., IMLE, M., SAND, G. (2020). Automatische Zusammenstellung von Montagesätzen für Axial-Radial-Zylinderrollenlager. Entwicklung von gemischt-ganzzahligen Optimierungsmodellen. AALE 2020 (pp. 113-123). VDE Verlag.

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).

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Editor (Book, Proceeding)

SAND, G., HÄRLE, C., JÄKEL, J. (2022). Tagungsband AALE 2022. Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel. Publikationsserver der Hochschule für Technik, Wirtschaft und Kultur Leipzig.

SAND, G., PAULEN, R., LUCIA, S. (2021). Special issue. In honor of 30 years of professorship of Professor Sebastian Engell. Computers and Chemical Engineering.

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