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A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer

Author

Listed:
  • Christos Keramydas
  • Dimitris Tsiolias
  • Dimitrios Vlachos
  • Eleftherios Iakovou

Abstract

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 Arena™ 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.

Suggested Citation

  • Christos Keramydas & Dimitris Tsiolias & Dimitrios Vlachos & Eleftherios Iakovou, 2015. "A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 7(2), pages 141-155.
  • Handle: RePEc:ids:injdan:v:7:y:2015:i:2:p:141-155
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    Cited by:

    1. Ali Salmasnia & Hamid Daliri & Ali Ghorbanian & Hadi Mokhtari, 2018. "A statistical analysis and simulation based approach to an uncertain supplier selection problem with discount option," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1250-1259, December.

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