A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer Conference Paper uri icon


  • Copyright 2015 Inderscience Enterprises Ltd. Globalisation and technological evolution associated with critical socioeconomics changes altered the traditional supply chain (SC) nature, and the corresponding risk forms. Therefore, modern SCs are vulnerable to risks, and their effects (delays and disruptions of product, money, and information flows). Whilst the nature of the overall supply disruption problem is quantitative, the vast majority of the relevant literature efforts employs a qualitative approach. In this paper we focus on the evaluation of emergency sourcing (ES) risk mitigation strategies for a discrete part manufacturer, employing a quantitative approach. Specifically, a discrete event simulation methodology is developed using the ArenaTM simulation software for the measurement of risk impacts on the organisation's performance, and the evaluation of alternative emergency/dual sourcing policies in terms of the premium cost paid to the alternative emergency supplier. The optimal emergency capacity that should be contracted from the alternative supplier is computed along with the associated cost savings.

published proceedings

  • International Journal of Data Analysis Techniques and Strategies

author list (cited authors)

  • Keramydas, C., Tsiolias, D., Vlachos, D., & Iakovou, E.

citation count

  • 5

complete list of authors

  • Keramydas, Christos||Tsiolias, Dimitris||Vlachos, Dimitrios||Iakovou, Eleftherios

publication date

  • January 2015