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.
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
