Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014, İstanbul, Türkiye, 14 - 16 Ekim 2014, ss.1090-1098, (Tam Metin Bildiri)
In today's global competition, due to shorter product life cycles, cost and time pressure, companies adopt lean production concepts, global outsourcing and collaboration strategies. However, it is observed that these strategies increase supply chain vulnerability. The bad experiences from the disruptive events such as 9/11 attacks and Taiwan earthquake have attracted both researchers' and practitioners' attention on supply chain disruptions. In this study, an ordering policy considering possible impacts of supply chain disruptions is proposed. In this context, widely known beer distribution model which is suitable for observing the complex dynamics of multi-echelon systems is handled by considering transportation disruptions. In order to reduce the impact of the transportation disruptions on the system, a new ordering policy is proposed. Finally, the best values for the parameters of the proposed policy are determined by implementing a differential evolution algorithm under different disruption scenarios.