W. Dangelmaier and J. Gausemeier, “Intelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen,” in Intelligente Technische Systeme – Lösungen aus dem Spitzencluster it’s OWL, Springer-Verlag GmbH Deutschland, 2019.

A. Akbulut, C. Laroque, and  Wilhelm Dangelmaier, “Automatisierte Modellverifikation mithilfe einer Äquivalenzprüfung an einem Referenzmodell.” Kassel University Press, pp. 189–198, 2017.

W. Dangelmaier, Production theory 1. Springer-Verlag, 2017.

Wilhelm Dangelmaier, Production theory 2. Springer-Verlag, 2017.

Wilhelm Dangelmaier, Production theory 3. Springer-Verlag, 2017.

Stefan  Helmke, M. Uebel, and W. Dangelmaier, Effektives Customer Relationship Management, 6th ed. Springer-Gabler, 2017.

W. Dangelmaier, “Time models for the classification and identification of production events,” in Megatrend digitization - potentials of work and company organization, C. M. Schlick, Ed. GITO mbH, 2016, pp. 27–69.

W. Dangelmaier, “Online-Optimierung zur Festlegung von Bestellzeitpunkten in der Losgr\'22o\'73senfertigung,” in Schenk, Michael;Zadek, Hartmut;Müller, Gerhard;Richter, Klaus;Seidel, Holger (Hrsg.): 20. Magdeburger Logistiktage “Sichere und nachhaltige Logistik,” 2015, pp. 37–42.

Wilhelm Dangelmaier, Wilhelm, Online optimization to determine order times. 2015.

J. Weber, S. Boxnick, and W. Dangelmaier, “Experiments using Meta-Heuristics to Shape Experimental Design for a Simulation-Based Optimization System: Intelligent Configuration and Setup of Virtual Tooling,” in  Proceedings of the IEEE Asia-Pacific World Congress on Computer Science and Engineering 2014 (APWC on CSE 2014), 2014, pp. 312–319.

Wilhelm Dangelmaier, “Ans  ‘a sets for \rquote  u r an online optimization of the lot sizes in the Series production.” GITO mbH, pp. 317–342, 2014.

W. Dangelmaier, T. Sommer-Dittrich, J. Streichhan, and M. Monhof, “Information Systems for Composite Materials: Requirements and Challenges,” Applied Mechanics and Materials, vol. 597, pp. 59–62, 2014.

B. Kl\'22opper, J.-P. Pater, and W. Dangelmaier, “An Evolutionary Approach on Multi-objective Scheduling for Evolving Manufacturing Systems,” 2014.

V. Rudtsch, J. Gausemeier, and M. Petersen, “Multikriterielle Entscheidungsunterst\'22utzung f\'22ur die Synthese von Herstellprozessen zur Fertigung funktional gradierter Bauteile.” Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, pp. 469–480, 2013.

A. Klaas, C. Laroque, H. Renken, and W. Dangelmaier, “Simulation Aided, Self-Adapting Knowledge Based Control of Material Handling Systems,” 2013.

W. Dangelmaier and A. Klaas, “Collective generation of subjective situations / measures for online control in transport and storage systems.” GITO-Verlag, pp. 37–49, 2013.

W. Dangelmaier, C. Laroque, and A. Klaas, “Simulation in Production and Logistics 2013,” in Proceedings 15th ASIM Conference Simulation in Production and Logistics, 2013, vol. 316.

H. Renken and W. Dangelmaier, “Improving Flow-Based Modeling of Enterprise Systems and Modeling of Custom Warehouse Systems in d<sup>3</sup>fact,” in Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2013, pp. 94–101.

W. Dangelmaier and E. Kaganova, “Evaluation of affinely adjustable robust counterpart for the CLSP,” 2013.

A. Klaas, D. Streit, M. Schilling, and W. Dangelmaier, “Proactive Self-Adaptation of a Flexible Simulation Based Control System Using Forecasting,” 2013.