Decision Support Systems for Safety and Security

ABSTRACT

The necessity of ensuring safety and security has emerged as a critical challenge across various domains, ranging from critical infrastructure protection to emergency response planning. The course offers a comprehensive exploration of how decision support systems (DSS) based on wireless information and communication technology (ICT) are leveraged to make informed choices in complex safety and security scenarios. This course provides an in-depth understanding of the principles and applications of decision support systems tailored to safety and security contexts in the framework of civil engineering. Participants will delve into the integration of data-driven approaches, risk assessment methodologies, and real-time information management to enhance decision-making in high-stakes situations. To complete the didactic offer, various numerical exercises (exploiting SW programs) will follow the theoretical lessons.

 

COURSE CONTENT

Part 1: INTRODUCTION AND FUNDAMENTALS

  • Introduction to information systems: from data to situational awareness
  • Fundamentals of decision support systems and their role in safety and security
 

Part 2:: DATA ACQUISITION TECHNOLOGY AND PROCESSING METHODS

  • Introduction to data structures, data management, and data storage systems
  • ICT technology for distributed and pervasive monitoring: Wireless Sensor Networks, Internet of Things, and Satellites
  • Key Performance Indicators for aggregating and highlighting information
  • Approaches and techniques for processing, prioritizing, and reducing false-positive threats
  • EXERCISES: Creating a decision support system by using plug-and-play tools
 

Part 3: MULTI-CRITERIA DECISION MAKING TECHNIQUES

  • Solving multi-criteria decision problems through optimization
  • Strategies for analyzing and presenting the results
  • EXERCISES: Using optimization algorithms to solve multi-criteria problems
 

Part 4: DECISION SUPPORT SYSTEMS IN ACTION

  • Resource optimization
  • Construction site management
  • Management of large civil infrastructures and smart buildings
  • Prognostic and failure detection for Industry 4.0
   

 

TEACHING ACTIVITIES

  • Theoretical Lessons
  • e-Xam Self Assessment (each teaching class or periodically)
  • MATLAB Hands-On
  • e-Xam Final Assessment
 

FURTHER READINGS

  1. V. L. Sauter, Decision Support Systems for Business Intelligence, John Wiley & Son, 2010.
  2. F. Burstein, C. W. Holsapple, Handbook on Decision Support Systems, Springer-Verlag Berlin Heidelberg, 2008.
  3. G. Rejda, M. McNamara, Principles of Risk Management and Insurance, Pearson, 2021.
  4. S. Martorell, C. Guedes Soares, J. Barnett, Safety, Reliability and Risk Analysis: Theory, Methods and Applications, Taylor & Francis Group, 2009.