Akademik Veri Yönetim Sistemi
Measurement: Journal of the International Measurement Confederation, cilt.56, ss.121-127, 2014 (SCI-Expanded)
Nowadays, business competition turns from inter-company competition into competition between supply networks (Rice and Hoppe, 2001) [1]. Winning customer satisfaction is one of the primary elements of survival in the market. Organizations are no longer committed to long-term cooperation with suppliers. Furthermore, choosing suppliers is only based on their qualifications with regard to providing service and their compatibility with the type of customers' demands. Thus, each supply network needs to be designed according to a specific market opportunity with regard to structure and members. As a result, the structure of supply networks must be more flexible and move toward dynamics (Humphries and Mena, 2012) [2]. Delivery time is one of the main criteria for evaluating the performance of a supply network. Delivery speed and accuracy in dynamic supply networks are the main challenges ahead of network managers due to the short-time nature of such networks (da Silveira and Arkader, 2007) [3]. Therefore, from a different viewpoint, uncertainty and its sources, which directly affect delivery time, could not be ignored easily. Therefore, this study essentially focuses on the impact of uncertainty on delivery time in three nodes supply networks. The aim of this paper is to identify the impact of the accumulation of the individual delivery time uncertainties on overall delivery time uncertainty. The idea is the type of network and their structures have a crucial impact on the delivery time uncertainty. To prove this idea a probabilistic method is created to measure and evaluate this influence by implementing the Markov theorem. This research is an important step toward the better understanding of more complex networks and the impact of network type in the delivery time uncertainty of these networks. © 2014 Elsevier Ltd. All rights reserved.