{"id":860,"date":"2021-07-13T18:43:19","date_gmt":"2021-07-13T18:43:19","guid":{"rendered":"http:\/\/library.gito.de\/?p=860"},"modified":"2023-08-02T00:39:46","modified_gmt":"2023-08-01T22:39:46","slug":"wi2020-zentrale-tracks-55","status":"publish","type":"post","link":"https:\/\/library.gito.de\/en\/2021\/07\/wi2020-zentrale-tracks-55\/","title":{"rendered":"WI2020 Zentrale Tracks"},"content":{"rendered":"<p><\/p>\n<div>\n<div id=\"block-library-content\">\n<div class=\"grid-container full\">\n<div>\n<div class=\"grid-x grid-padding-x\">\n<div class=\"cell content-sep-index-y large-20 medium-20 small-24 columne-3\">\n<div>\n<div class=\"literatur\">\n<p>1. Schuh, G., Potente, T., Thomas, C., Hempel, T.: Short-term Cyber-physical Production Management. Procedia CIRP 25, 154\u2013160 (2014)<br \/>\n2. Cupek, R., Ziebinski, A., Huczala, L., Erdogan, H.: Agent-based manufacturing execution systems for short-series production scheduling. Computers in Industry 82, 245\u2013258 (2016)<br \/>\n3. Gregor, S., Hevner, A.R.: Positioning and Presenting Design Science Research for Maximum Impact. MIS Q 37, 337\u2013355 (2013)<br \/>\n4. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems 24, 45\u201377 (2007)<br \/>\n5. Schneewei\u00df, C.: Einf\u00fchrung in die Produktionswirtschaft. Springer, Berlin, Heidelberg (1999)<br \/>\n6. Sabuncuoglu, I., Goren, S.: Hedging production schedules against uncertainty in manufacturing environment with a review of robustness and stability research. International Journal of Computer Integrated Manufacturing 22, 138\u2013157 (2009)<br \/>\n7. Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decision Support Systems 33, 111\u2013126 (2002)<br \/>\n8. Arnott, D., Pervan, G.: A critical analysis of decision support systems research. Journal of Information Technology 20, 67\u201387 (2005)<br \/>\n9. Sprague, R.H., Carlson, E.D.: Building effective decision support systems. Englewood Cliffs, N.J. (1982)<br \/>\n10. Eckerson, W.W.: Performance dashboards. Measuring, monitoring, and managing your business. Wiley, Hoboken, NJ (2010)<br \/>\n11. Lee, E.A.: Cyber Physical Systems: Design Challenges. In: 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), pp. 363\u2013369. IEEE (2008)<br \/>\n12. Siepmann, D., Graef, N.: Industrie 4.0 \u2013 Grundlagen und Gesamtzusammenhang. In: Roth, A. (ed.) Einf\u00fchrung und Umsetzung von Industrie 4.0, pp. 17\u201382. Springer, Berlin, Heidelberg (2016)<br \/>\n13. Lee, J.: Smart Factory Systems. Informatik Spektrum 38, 230\u2013235 (2015)<br \/>\n14. Krumeich, J., Jacobi, S., Werth, D., Loos, P.: Big Data Analytics for Predictive Manufacturing Control &#8211; A Case Study from Process Industry. In: IEEE International Congress on Big Data, pp. 530\u2013537. IEEE (2014)<br \/>\n15. Mieth, C., Meyer, A., Henke, M.: Framework for the usage of data from real-time indoor localization systems to derive inputs for manufacturing simulation. Procedia CIRP 81, 868\u2013873 (2019)<br \/>\n16. Karner, M., Glawar, R., Sihn, W., Matyas, K.: An industry-oriented approach for machine condition-based production scheduling. Procedia CIRP 81, 938\u2013943 (2019)<br \/>\n17. Jiang, Z., Jin, Y., E, M., Li, Q.: Distributed Dynamic Scheduling for Cyber-Physical Production Systems Based on a Multi-Agent System. IEEE Access 6, 1855\u20131869 (2018)<br \/>\n18. Dafflon, B., Moalla, N., Ouzrout, Y.: Cyber-Physical Systems network to support decision making for self-adaptive production system. In: 12th IEEE International Conference on Software, Knowledge, Information Management &amp; Applications (SKIMA), pp. 1\u20138. IEEE (2018)<br \/>\n19. Krumeich, J., Werth, D., Loos, P., Schimmelpfennig, J., Jacobi, S.: Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal. In: IEEE International Conference on Big Data (Big Data), pp. 16\u201324. IEEE (2014)<br \/>\n20. Schuh, G., Potente, T., Fuchs, S., Thomas, C., Schmitz, S., Hausberg, C., Hauptvogel, A., Brambring, F.: Self-Optimizing Decision-Making in Production Control. In: Robust Manufacturing Control, 54, pp. 443\u2013454. Berlin, Heidelberg (2013)<br \/>\n21. Schuh, G., Potente, T., Thomas, C., Hauptvogel, A.: Steigerung der Kollaborationsproduktivit\u00e4t durch cyber-physische Systeme. In: Industrie 4.0 in Produktion, Automatisierung und Logistik, pp. 277\u2013295. Wiesbaden (2014)<br \/>\n22. Schuh, G., Fu\u00df, C. (eds.): ProSense: Ergebnisbericht des BMBF-Verbundprojektes. Hochaufl\u00f6sende Produktionssteuerung auf Basis kybernetischer Unterst\u00fctzungssysteme und intelligenter Sensorik. Apprimus, Aachen (2015)<br \/>\n23. Schreiber, M., Vernickel, K., Richter, C., Reinhart, G.: Integrated production and maintenance planning in cyber-physical production systems. Procedia CIRP 79, 534\u2013539 (2019)<br \/>\n24. Webster, J., Watson, R.T.: Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Q 26, xiii\u2013xxiii (2002)<br \/>\n25. Fettke, P.: State-of-the-Art des State-of-the-Art. WIRTSCHAFTSINFORMATIK 48, 257\u2013 266 (2006)<br \/>\n26. Myers, M.D.: Qualitative research in business &amp; management. London (2013)<br \/>\n27. Mayring, P.: Qualitative content analysis: theoretical foundation, basic procedures and software solution. Klagenfurt (2014)<br \/>\n28. D\u00f6ring, N., Bortz, J.: Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Springer Berlin Heidelberg, Berlin, Heidelberg (2016)<br \/>\n29. Wilde, T., Hess, T.: Forschungsmethoden der Wirtschaftsinformatik. WIRTSCHAFTSINFORMATIK 49, 280\u2013287 (2007)<br \/>\n30. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 35, 982\u20131003 (1989)<br \/>\n31. Abele, E., Anderl, R., Metternich, J., Wank, A., Anokhin, O., Arndt, A., Meudt, T., Sauer, M.: Effiziente Fabrik 4.0: Einzug von Industrie 4.0 in bestehende Produktionssysteme. Zeitschrift f\u00fcr wirtschaftlichen Fabrikbetrieb 110, 150\u2013153 (2015)<br \/>\n32. Kletti, J.: Das MES der Zukunft. Productivity Management 18, 17\u201320 (2013)<br \/>\n33. Gronau, N.: Der Einfluss von Cyber-Physical Systems auf die Gestaltung von Produktionssystemen. Industrie Management 31, 16\u201320 (2015)<br \/>\n34. Kropp, S., Schuh, G.: Event-Driven Production Control based on Sensor Events. In: European Conference on Smart Objects, Systems and Technologies (Smart SysTech), pp. 1\u20139 (2014)<br \/>\n35. Lanza, G., Stricker, N., Moser, R.: Concept of an intelligent production control for global manufacturing in dynamic environments based on rescheduling. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 315\u2013319 (2013)<br \/>\n36. Niggemann, O., Biswas, G., Kinnebrew, J.S., Khorasgani, H., Volgmann, S., Bunte, A.: Datenanalyse in der intelligenten Fabrik. In: Vogel-Heuser, B., Bauernhansl, T., Hompel, M. ten (eds.) Handbuch Industrie 4.0 Bd.2, 75, pp. 471\u2013490. Springer, Berlin, Heidelberg (2017)<br \/>\n37. Bergmann, S., Fiedler, A., Stra\u00dfburger, S.: Generierung und Integration von Simulationsmodellen unter Verwendung des Core Manufacturing Simulation Data (CMSD) Information Model. In: Integrationsaspekte der Simulation. Technik, Organisation und Personal, pp. 461\u2013468 (2010)<br \/>\n38. Berger, C., Berlak, J., Reinhart, G.: Service-based Production planning and Control of Cyber-Physical Production Systems. In: 29th Bled eConference. Digital Economy, pp. 491\u2013502 (2016)<br \/>\n39. Stark, R., Kim, M., Damerau, T., Neumeyer, S., Vorsatz, T.: Notwendige Voraussetzungen f\u00fcr die Realisierung von Industrie 4.0: Ein Beitrag aus der Sicht der industriellen Informationstechnik. Zeitschrift f\u00fcr wirtschaftlichen Fabrikbetrieb 2010, 134\u2013141 (2015)<br \/>\n40. K\u00fcck, M., Ehm, J., Freitag, M., Frazzon, E.: Adaptives simulationsbasiertes Optimierungsverfahren &#8211; Konzept zur Planung und Steuerung dynamischer Produktionssysteme. Industrie 4.0 Management 32, 26\u201331 (2016)<br \/>\n41. Mertens, P.: Industrie 4.0 = CIM 2.0? Industrie Management 30, 27\u201330 (2014)<br \/>\n42. Lanza, G., Stricker, N., Peters, S.: Ad-hoc Rescheduling and Innovative Business Models for Shock- robust Production Systems. Procedia CIRP 7, 121\u2013126 (2013)<br \/>\n43. Luo, H., Fang, J., Huang, G.Q.: Real-time scheduling for hybrid flowshop in ubiquitous manufacturing environment. Computers &amp; Industrial Engineering 84, 12\u201323 (2015)<br \/>\n44. Wrobel, M.: Multidimensionale, heterogene, visualisierbare Datenr\u00e4ume: Anforderungen, Entwurf und Implementierung einer adaptiven und interaktiven Schnittstelle f\u00fcr transdisziplin\u00e4re wissenschaftliche Daten im Kontext der Erdsystemanalyse (2004)<\/p>\n<\/div>\n<\/div>\n<div><a class=\"beitrag-als-pdf\" title=\"Als PDF herunterladen...\" href=\"https:\/\/library.gito.de\/wp-content\/uploads\/2021\/08\/G5_WI2020-camera_ready_submission.pdf\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/library.gito.de\/themes\/library\/images\/pdf.png\" \/>Als PDF herunterladen<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>1. Schuh, G., Potente, T., Thomas, C., Hempel, T.: Short-term Cyber-physical Production Management. Procedia CIRP 25, 154\u2013160 (2014) 2. Cupek, R., Ziebinski, A., Huczala, L., Erdogan, H.: Agent-based manufacturing execution systems for short-series production scheduling. Computers in Industry 82, 245\u2013258 (2016) 3. Gregor, S., Hevner, A.R.: Positioning and Presenting Design Science Research for Maximum Impact.&hellip; <a class=\"more-link\" href=\"https:\/\/library.gito.de\/en\/2021\/07\/wi2020-zentrale-tracks-55\/\">Continue reading <span class=\"screen-reader-text\">WI2020 Zentrale Tracks<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[13],"tags":[],"class_list":["post-860","post","type-post","status-publish","format-standard","hentry","category-b","entry"],"acf":[],"_links":{"self":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/comments?post=860"}],"version-history":[{"count":3,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/860\/revisions"}],"predecessor-version":[{"id":3787,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/860\/revisions\/3787"}],"wp:attachment":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/media?parent=860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/categories?post=860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/tags?post=860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}