An Agent-based Simulation of a QoS-oriented Supply Chain

  • Roman Gumzej Univerza u Mariboru Fakulteta za logistiko
  • Bojan Rosi Univerza u Mariboru Fakulteta za logistiko
Keywords: supply chain, adaptive, quality of service, management, agent-based simulation,

Abstract

With adaptive customer-orientation the efficiency of supply chain management is improved substantially. By the introduction of service quality-based decision-making into supply chain management the quality of service (QoS) within supply chains is expected to improve autonomously and continuously up- and downstream. In the paper the main characteristics of quality of service oriented supply chain management are outlined. The quality of service criterion, introduced into the adaptive supply chain model, provides market regulators and managements with the needed information and feedback to their increasingly informed decisions. By an experiment comprising several typical scenarios on our agent-based simulation model it was possible to empirically verify the expected impact of quality of service-
based reasoning on generic adaptive supply chains.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

Roman Gumzej, Univerza u Mariboru Fakulteta za logistiko

Roman Gumzej, born 1970 in Maribor, Slovenia, received a doctorate in computer science and informatics from University of Maribor in 1999. He worked both in industry (Institute of Information Science, IZUM Maribor) and academia (University of Maribor), before he was elected assistant professor at the Faculty of electrical engineering and computer science at University of Maribor in 2004. He was a visiting researcher at ifak e.V. Magdeburg, Germany and visiting professor at the Faculty of Mathematics and Computer Science, Fernuniversität in Hagen, Germany. In 2014 he was elected associate professor at the Faculty of logistics, University of Maribor. His research interests comprise all major areas of real-time computing with special emphasis on logistics information systems, cyber-physical systems, autonomous operation, as well as safety and security. He has conducted a national and co-operated in several national and international basic and applied research projects. He has authored or co-authored two patents, two books, several refereed book chapters, as well as many journal publications and conference contributions. He is involved in international professional organizations and editorial bords or program committees of several journals and conferences.

Bojan Rosi, Univerza u Mariboru Fakulteta za logistiko
Full. Prof. dr. Bojan Rosi, MBA, BSc. of organizational (production management) science, university lecturer and dean of the Faculty of Logistics, University of Maribor, qualified for the subject area of Economic Logistics/Logistics social sciences. Author of a number of scientific papers, textbooks and books and different other publications. Before the present employment he was employed at the Slovenian Railways for twenty years, and as a counsellor of the Government of the Republic of Slovenia at the Ministry of Transport, for five years. He is also a member of some significant associations in the field of transport and logistics on the national and international level.

References

Holland JH. Hidden Order: How Adaptation Builds Complexity. Addison Wesley Longman Publishing Co., Inc.; 1995.

Christoper M. Logistics and Supply Chain Management. London: Prentice Hall; 2005.

Rosi B, Mulej M. The dialectical network thinking - a new systems theory concerned with management. Kybernetes. 2006;35(7/8): 1165-1178.

Zhang G, Shang J, Li W. Collaborative production planning of supply chain under price and demand uncertainty. European Journal of Operational Research. 2011;215(3): 590-603.

Gumzej R, Gajšek B. Introducing Quality of Service Criteria into Supply Chain Management for Excellence. International Journal of Applied Logistics (IJAL). 2011;2(1): 1-16.

Melo MT, Nickel S, Saldanha-da-Gama F. Facility location and supply chain management - A review. European Journal of Operational Research. 2009;169(2): 401-412.

Shah N. Process industry supply chains: Advances and challenges. Computers & Chemical Engineering. 2005;29(2005): 1225-1236.

Georgiadis P, Vlachos D, Iakovou E. A system dynamics modeling framework for the strategic supply chain management of food chains. Journal of Food Engineering. 2005;70(3): 351-364.

Tako AA, Robinson S. The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems. 2012;50(4): 802-815.

Intihar M. System Dynamics Modeling in Supply Chain Management. In: Eichler G, Gumzej R, editors. Proceedings of the 13th International Conference on Innovative Internet Community Systems and the International Workshop on Autonomous Systems, 2013 May/June, Hagen, Germany. Fortschr.-Ber. VDI 10(826). Düsseldorf: VDI Verlag; 2013. p. 241-252.

Angerhofer BJ, Angelides MC. System dynamics modelling in supply chain management: research review. In: Joines JA, Barton RR, Kang K, Fishwick PA, editors. 2000 Winter Simulation Conference Proceedings,

December 10-13, Orlando, FL, USA. IEEE; 2000. p. 342-351.

Behdani B, van Dam KH, Lukszo Z. Agent-Based Models of Supply Chains. Springer Netherlands; 2013.

Xiong H, Wang P. A Simulation of Food Supply Chain (Version 1). openabm [Internet]. 2016 [cited 2017 Apr 18]; [about 9pp.]. Available from: https://www.openabm.org/model/4963/version/1/view

Wilensky U. NetLogo. 1999-2016 [cited 2017 Apr 18]. Available from: Https://Ccl.Northwestern.Edu/Netlogo/Index.Shtml

Published
2017-12-21
How to Cite
1.
Gumzej R, Rosi B. An Agent-based Simulation of a QoS-oriented Supply Chain. Promet [Internet]. 2017Dec.21 [cited 2024Mar.28];29(6):593-01. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/2520
Section
Articles