Application of exact methods for finding the optimal solution of organizational resilience improvement

Abstract

This paper investigates the application of branch and bound algorithms to determine the optimal solution for enhancing organizational resilience. Faced with an increasingly dynamic and uncertain business environment, organizations seek effective methods to fortify their resilience against disruptions. Our study focuses on identifying a set of management methods that can improve key resilience factors while considering constraints such as execution time and costs. Through rigorous analysis, the branch and bound algorithm efficiently navigates the vast solution space, yielding a curated set of methods including Flowchart (generic), Mind map, Stakeholder analysis, Brainstorming, Brainwriting, 5W2H, and Importance–performance analysis. These methods offer diverse approaches to resilience enhancement, each with its unique strengths. By incorporating time and cost constraints, our approach ensures practical feasibility for real-world implementation. It can be concluded that leveraging branch and bound algorithms provides valuable insights for organizations to proactively adapt to challenges and seize opportunities in an ever-evolving landscape of disruptions.