A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer. (1st January 2015)

• Record Type: Journal Article
• Authors: Keramydas, Christos; Tsiolias, Dimitris; Vlachos, Dimitrios; Iakovou, Eleftherios
• Is Part Of: International journal of data analysis techniques and strategies. Volume 7:Number 2(2015)
• Page Start: 141
• Page End: 155
• Publication Date: 2015-01-01
• Subjects: supply chain risks -- risk management -- supply chain disruption -- risk mitigation strategies -- emergency sourcing -- emergency capacity -- alternative suppliers -- discrete event simulation -- discrete parts manufacturing -- supply chain management -- SCM -- dual sourcing; Electronic data processing -- Periodicals; Database searching -- Periodicals; 005
• DOI: 10.1504/IJDATS.2015.068747
• Languages: English
• ISSNs: 1755-8050

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.