Supply chain disruptions pose an increasingly significant risk to supply chains. This research develops a framework to examine the threat of potential disruptions on supply chain processes and focuses on potential mitigation and supply chain design strategies that can be implemented to mitigate this risk. The framework was developed by integrating three theoretical perspectives—normal accident theory, high reliability theory, and situational crime prevention. The research uses a multi‐method approach to identify key safety and security initiatives (process management, information sharing, and supply chain partner and service provider relationship management) that can be implemented and the conditions under which each initiative is best suited. The research results illustrate that the depth and breadth of security initiatives depends on top management mindfulness, operational complexity, product risk, and coupling.

This paper examines the simultaneous impact of configuration capacity, inventory level, and complexity on service performance as measured by unit and order fill rates in a configure‐to‐order environment. Demand skew is treated as a control variable. A simulation model based on data from a leading electronics manufacturer is used to test the hypotheses and identify the impact. Results suggest that there are differential direct and interactive effects of examined variables on unit and order fill rates.

Sec: Adv/Price: Low Sec: Adv/Price: Med Sec: Adv/Price: Hi † Low = Equal to or below industry average; Medium = 1-2 % above industry average; High = 3 % or more above industry average Results pertaining to unconcerned respondents are presented in Table 12 and Figure 6. ANOVA results for unconcerned respondents (Table 12; F = 85.829; p<0.01) indicate a statistically greater preference for basic security/low price over advanced security/medium price. Therefore, unconcerned respondents are not willing to trade off price for advanced supplier security.