Chapter 2 - A general approach to business resilience system (BRS)

Abstract

The business resilience system (BRS) with its risk atom and processing data point is based on fuzzy logic and cloud computation in real time. Its purpose and objectives define a clear set of expectations for organizations and enterprises, so their network system and supply chain are totally resilient and protected against cyberattacks, man-made threats, and natural disasters. These enterprises include financial, organizational, homeland security, and supply chain operations with multipoint manufacturing across the world. Market share and marketing advantages are expected to result from the implementation of the system. The collected information and defined objectives provide the basis to monitor and analyze the data through cloud computation and will guarantee the success of their survivability against any unexpected threats. Putting this kind of operation in place allows the executive and stakeholders within those organizations and enterprises to make the right decision when encountering threats that interrupt their normal day-to-day operations, as well as, in cases such as defense and homeland security, to predict the next move of an adversary. Given the fact that the BRS, as part of its functionality, processes the incoming data and information if not real time, then near real time with the help of superartificial intelligence in place, this gives the stakeholder an edge against and threats as well as predicting issues with operational intelligence. Artificial intelligence (AI) is one of those technologies that seem to be expanding in every direction. This technology will take center stage at Think 2018. Resilience thinking is inevitably systems thinking, at least as much as sustainable development is. In fact, “when considering systems of humans and nature (social-ecological systems), it is important to consider the system as a whole.” The term “resilience” originated in the 1970s in the field of ecology from the research of C.S. Holling, who defined resilience as “a measure of the persistence of systems and of their ability to absorb change and disturbance and still maintain the same relationships between populations or state variables.” In short, resilience is best defined as “the ability of a system to absorb disturbances and still retain its basic function and structure.” In this chapter, we explain the BRS and how it works. Please note that the with minor editing and manipulation, the materials presented in this chapter have been borrowed from the book published from Zohuri and Moghaddam10 with permission from both authors and publisher as well.