1.3 Describe two significant risks that could compromise Maersk’s supply chain integration of IoT (2). For each identified risk, analyse its potential impact on cold chain operations (2) and propose a contextually appropriate control measure to mitigate it and enhance resilience (2). [6] Same case study

Here are two significant risks to Maersk's supply chain integration of IoT, their potential impact, and control measures:

• Risk 1: Cybersecurity Breaches

  • Description: Connected containers and cloud systems create additional points that unauthorized users can target, leading to data theft, manipulation, or system disruption.
  • Potential Impact on Cold Chain Operations: A cybersecurity breach could allow malicious actors to remotely alter temperature settings in refrigerated containers, leading to the spoilage of perishable goods. It could also disrupt communication, preventing real-time monitoring and intervention, or compromise location data, causing misdirection and delays in the cold chain. This would result in significant financial losses, reputational damage, and potential health risks if compromised food reaches consumers.
  • Control Measure: Implement robust, multi-layered cybersecurity protocols including end-to-end encryption for all data transmission, strong access controls with multi-factor authentication for all system users, continuous security monitoring, and regular vulnerability assessments. Develop and regularly test clear incident response procedures to quickly detect, contain, and recover from any breaches.

• Risk 2: Data Integrity and Availability Issues (due to sensor failure or network limitations)

  • Description: Sensors can produce inaccurate readings or fail entirely, and communication networks can have weak coverage, causing information to be delayed, unavailable, or incorrect.
  • Potential Impact on Cold Chain Operations: Inaccurate sensor readings could lead to incorrect decisions, such as failing to intervene when cargo is at risk or initiating unnecessary interventions. Sensor failure means a complete loss of critical monitoring for a container, making it impossible to ensure the integrity of perishable goods. Delayed or unavailable information due to weak network coverage prevents real-time intervention, allowing spoilage to occur before a problem is identified, leading to significant cargo damage and financial losses.
  • Control Measure: Implement sensor redundancy (multiple sensors for critical parameters) and regular automated calibration checks to ensure accuracy. For network limitations, deploy hybrid communication solutions (e.g., satellite and cellular with automatic failover) and implement data buffering capabilities on containers to store and transmit data once connectivity is restored. Additionally, use predictive analytics to identify potential sensor failures before they occur, allowing for proactive maintenance.