Our research topics are the analysis of industrial processes, fault diagnosis and solving of scheduling problems. During the industrial process-related research on the one side tools record the measured values and the times belonging to them, on the other hand it can be recorded who or what completed what kind of intervention during the analysis. If this information is put in the correct order then we can get history or issue of the research process. By recording information belonging to the process execution a log file can be prepared. Because the analysis can be divided into parts ‒ e.g., a test of a product ‒, there can be found a relation between the data recorded during the analysis and the performance of analysis in most cases. If this part-analysis is performed more then once then trends can be detected with the analysis of data series, and so certain conclusions can be made, possibly incorrectly performed operations can be cleared up or identified. In the field of scheduling problems we can try to assign resources to the activities of processes so that the outputs should be suitable for the criteria of conventional scheduling (time, cost or combination of these aspire to minimum), and unexpected events generate the smallest possible negative effect. For achieving our goal we take the cooperation of the resources into consideration, respectively we rest on the information, which origin from acquired experience in the course of earlier running.
Current Project Activities
EFOP-3.6.1-16-2016-00015 – University of Pannonia’s comprehensive institutional development program to promote Smart Specialization Strategy.
Dósa, Gy. ; Dulai, T. ; Werner-Stark, Á. An efficient heuristic for a complex scheduling problem, In: Friedler, Ferenc (szerk.) VOCAL 2018. 8th VOCAL Optimization Conference: Advanced Algorithms : Esztergom, Hungary, December 10-12, 2018. Short Papers, BUDAPEST : Pázmány Péter Catholic University, (2018) pp. 38-43. , 6 p., ISBN: 9789633083468
Dulai, T. ; Dósa, Gy. ; Werner-Stark, Á. Multi-project optimization with multi-functional resources by a genetic scheduling algorithm, ACTA POLYTECHNICA HUNGARICA 15 : 4 pp. 101-119. , 101 p. (2018)
Nagy, Zs. ; Werner-Stark, Á. ; Dulai, T. An Industrial Application Using Process Mining to Reduce the Number of Faulty Products, In: András, Benczúr; Bernhard, Thalheim; Tomáš, Horváth; Silvia, Chiusano; Tania, Cerquitelli; Csaba, Sidló; Peter, Z Revesz (szerk.) New Trends in Databases and Information Systems : ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceeding Cham (Svájc), Svájc : Springer International Publishing, (2018) pp. 352-363. , 12 p.
Dulai, T. ; Werner-Stark, Á. ; Hangos, K. M. Algorithm for directing cooperative vehicles of a vehicle routing problem for improving fault-tolerance, OPTIMIZATION AND ENGINEERING 11081 pp. 1-32. , 32 p. (2017)