Aims

Journal of Engineering Resilience and Robust Systems Design (JERRSD) is an international, peer-reviewed open-access journal that publishes research on how engineering systems can be designed, analysed, and managed to remain functional, reliable, and adaptive under uncertainty, disturbance, and changing operating conditions.

The journal is concerned less with idealised system performance than with how resilience and robustness are defined, implemented, and sustained in practice: how systems are structured to withstand disruption; how failure, degradation, and recovery are modelled and managed; and how design, control, and operational decisions shape long-term system behaviour. JERRSD welcomes work that examines how engineering systems respond to uncertainty, shocks, and evolving environmental or organisational constraints.

The journal provides a home for interdisciplinary scholarship spanning systems engineering, control and optimisation, reliability and risk analysis, applied mathematics, data-driven modelling, and domain-specific engineering fields. Submissions may address, among other issues, how uncertainty affects system performance, how risks and failures propagate across interconnected components, and how design choices influence system adaptability, recovery, and sustainability.

The journal publishes rigorous conceptual, methodological, computational, and empirical contributions that help researchers and practitioners understand not only how systems perform under nominal conditions, but how they behave under stress, how they recover from disruption, and how they can be deliberately designed to be more resilient and robust over their life cycle.

The journal is published quarterly by Acadlore and follows a structured peer-review process and standard editorial procedures to support consistency and transparency in its publication practices.

Key features of JERRSD include:

• The journal centres on the design and management of resilient and robust engineering systems, rather than on abstract system properties or isolated performance metrics;

• It gives particular attention to the modelling and management of uncertainty, disturbance, risk, failure, and recovery in complex and interconnected systems;

• The journal values work that connects system-level concepts with concrete engineering design, control, and operational decisions, supported by clear analytical reasoning and empirical or computational evidence;

• Contributions on risk, safety, and reliability are considered where these are integrated with system design perspectives, rather than treated as separate or purely regulatory concerns;

• The journal encourages comparative and cross-sectoral studies that examine how resilience and robustness are addressed in different engineering domains and institutional contexts;

• The editorial and review process emphasises clarity of argument, transparency of method, and the robustness of conclusions, to ensure a fair, consistent, and substantively grounded evaluation of submissions.

Scope

JERRSD welcomes original research articles, theoretical contributions, systematic reviews, and high-quality empirical or computational studies in areas including, but not limited to, the following:

Resilience and Robustness in Engineering Systems

This area focuses on how resilience and robustness are conceptualised, measured, and operationalised in engineering systems, and how these properties relate to system reliability, safety, and long-term performance across different scales and contexts.

• Conceptualisation and measurement of resilience and robustness

• Relationships between resilience, robustness, reliability, safety, and sustainability

• Modelling of failure, degradation, recovery, and adaptation processes

• Multi-scale and multi-layer resilience analysis

Uncertainty, Risk, and Disturbance

This area addresses the sources and representations of uncertainty in engineering systems, and examines how risk, extreme events, and disturbances affect system behaviour, safety, and performance.

• Stochastic, probabilistic, and scenario-based uncertainty modelling

• Risk assessment, extreme events, and hazard analysis

• Sensitivity, vulnerability, and robustness analysis

• Cascading failures and interdependent system risks

System Design, Architecture, and Optimisation

This area examines how design choices, system architectures, and optimisation strategies can be used to enhance system robustness, flexibility, and recoverability across the system life cycle.

• Robust and resilience-oriented design methods

• System architecture, modularity, and redundancy strategies

• Multi-objective and life-cycle optimisation under uncertainty

• Design for flexibility, reconfigurability, and recovery

Control, Operation, and System Management

This area focuses on how systems can be monitored, controlled, and managed in real time to maintain performance and safety in the presence of disturbances and changing conditions.

• Adaptive, fault-tolerant, and resilient control strategies

• Operational planning and scheduling under disturbance

• Monitoring, diagnosis, and system health management

• Digital twins and real-time system assessment

Data-Driven and Intelligent Methods

This area explores the use of data analytics, machine learning, and hybrid modelling approaches to assess, predict, and manage system risks, failures, and resilience-related behaviour.

• Machine learning and data analytics for resilience assessment

• Anomaly detection, fault prediction, and predictive maintenance

• Data-driven risk identification and decision support

• Hybrid physical–data-based modelling approaches

Sectoral and Application Domains

This area covers empirical and applied studies in specific engineering domains where resilience and robustness are of practical importance, and where domain-specific constraints shape system behaviour and design.

• Energy systems and power network resilience

• Transportation systems and critical infrastructure

• Manufacturing systems, supply chains, and industrial operations

• Water, environmental, and climate-adaptation systems

• Communication networks and cyber-physical systems

Standards, Policy, and Engineering Governance

This area addresses the institutional, regulatory, and normative frameworks that influence how resilient and robust systems are designed, evaluated, and governed in practice.

• Engineering standards and guidelines related to resilience and safety

• Risk governance and regulatory frameworks

• Investment and planning decisions for resilient infrastructure

• Ethical, social, and environmental considerations in system design

Organisational, Strategic, and Decision Perspectives

This area focuses on how organisations, managers, and policymakers make decisions about system design, investment, and operation under uncertainty and risk.

• Organisational and managerial responses to system risk and disruption

• Decision-making under uncertainty in engineering contexts

• Coordination and governance of large-scale engineering programmes

• Performance evaluation and accountability in safety-critical systems