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Simulation of complex logistical service processes

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Języki publikacji
EN
Abstrakty
EN
The world around us is a very complex and multi-parametric system, like the weather, traffic, operation of machines, production processes, service processes, etc. Understanding of the characteristics, operation and behaviour of these systems and processes is not easy due to their complexity. The design of optimal production and service procedures is an essential task for planners. The target is the increasing of the efficiency of the production and service and analysis of the effect of parameter changing. There are lot of tools and sophisticated methods for design, analysis and improvement of logistical processes. The most often used analysis tool is the simulation in the production processes. Our aim in this article is to show that the simulation can be used efficiently in case of analysis of service processes, not only in case of production processes. The simulation is available for bottleneck analysis of service activities not only for production processes. In this study the simulation of a service process was realized by the AnyLogic software. The relevance of the simulation technique for analysis of complex service processes is proved by a case study of a service and maintenance activity of a multinational shopping centre.
Twórcy
autor
  • Budapest Business School, Zalaegerszeg Faculty of Business Administration, Gasparich st. 18/a, 8900, Zalaegerszeg Hungary
autor
  • University of Miskolc, Institute of Logistics
autor
  • Czestochowa University of Technology, The Management Faculty, Poland
  • Faculty of Economic Sciences and IT, Department of Entrepreneurship, North-West University, South Africa
Bibliografia
  • [1] Kovács Gy., Kot S., New Logistics and Production Trends as the Effect of Global Economy Changes, Polish Journal of Management Studies, 14, 2, 115– 126, 2016.
  • [2] Dima I.C., Kot S., Capacity of production, Industrial Production Management in Flexible Manufacturing Systems, IGI-Global, 2013.
  • [3] Bednar S., Modrak J., Product variety management as a tool for successful mass customized product structure, Polish Journal of Management Studies, 12, 1, 16–25, 2015.
  • [4] Velychko O., Logistical system fortschrittzahlen in the management of the supply chain of a multifunctional grain cooperative, Economics and Sociology, 8, 1, 127–146, 2015.
  • [5] Kása R,. Gubán Á., Gubán M., Hua N.S., Molnár L., The concept of perception driven service process reengineering by entropy reduction, Pannon Management Review, 3. 1, 11–54, 2014.
  • [6] Kása R., Gubán Á., ´ Business Process Amelioration Methods, Techniques, and Their Service Orientation: A Review of Literature Research in the Decision Sciences for Global Business: Best Papers from the 2013, Annual Conference of the European Decision Sciences Institute, New Jersey: Pearson Education Limited, pp. 219–238, 2015.
  • [7] Gubán M., Modeling of service processes [in Hungarian: A szolgáltatási folyamatok modellezése], Logisztika, 2, 15–17, 2015.
  • [8] Gubán M., Hua N.S., Mathematical modeling of service fluid flow [in Hungarian: Szolgáltatási fluidumáramlás matematikai modellezése], Prosperitas, 2, 1, 61–75, 2014.
  • [9] Doležal J., Šnajdr J., Belás J., Vincúrová, Z., Model of the loan process in the context of unrealized income and loss prevention, Journal of International Studies, 8, 1, 91–106, 2015.
  • [10] Grabara J.K., Dima I.C., Kot S., Kwiatkowska J., Case on in-house logistics modelling and simulation, Research Journal of Applied Sciences, 6, 7, 416–420, 2013.
  • [11] Kása R., Gubán M., Gubán Á., Logistical processes of service system, with special regard to their amelioration – a model framework, Challenges in Process Management: Decision points, network systems and strategies in practice, Károly Róbert Kutató-Oktató Közhasznú Nonprofit Kft., Gyöngyös, pp. 31–51, 2016.
  • [12] Kovács Gy., Tamás P., Simulation methods in Logistics, Memooc on-line course, Institute of Logistics, University of Miskolc, 2015, http://www.memooc.hu/courses/course-v1:UniMiskolc+IT.L1.SYMULATIONS.0.E+2015 T1/about.
  • [13] Merkuryev Y., Merkuryeva G., Piera M.Á., Guasch A. [Eds.], Simulation-Based Case Studies in Logistics, Springer, ISBN 978-1-84882-186-6, 2009.
  • [14] Pawlewski P., Greenwood A. [Eds.], Process Simulation and Optimization in Sustainable Logistics and Manufacturing, Springer, ISBN 978-3-319-07346-0, 2014.
  • [15] VDI (Verein Deutscher Ingenieure, Association of German Engineers) Guideline 3633, https://www.vdi.de/uploads/tx_vdirili/pdf/13988 02.pdf.
  • [16] Tecnomatix documentation, Tecnomatix Plant Simulation 10, Step-by-Step Help 2010 Siemens Product Lifecycle Management Software Inc., https://community.plm.automation.siemens.com/siemensplm/attachments/siemensplm/Plant-Simulation-Tecnomatix/181/1/Plant_Simulation_Fact_Sheet_book_HQ.pdf.
  • [17] Ślusarczyk B., Logistics costs measurement at enterprises, Economic Annals-XXI, 11–12, pp. 97–100, 2014.
  • [18] Arató Á., Papp B., Gubán, M., Simulation of a practical service problem based on modeling of fluid flow, (in Hungarian), A fluidum-áramlás modelljére épülő gyakorlati szolgáltatási probléma szimulációja, Student research paper presented at Conference of Scientific Students’ Associations, BGE, pp. 25–37, 2016.
  • [19] Law M., Kelton D.W., Simulation Modeling and Analysis, third edition In: The nature of simulation, Mcgraw Hill, USA, 2000.
  • [20] Macal C.M., North M.J., Introduction to Agentbased Modeling and Simulation, Argonne National Laboratory, Lemont, 2006.
Uwagi
Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1629cceb-80e8-412d-94e7-e2a3676dd740
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