MCDA Model using FAHP for implementation of SSCM during VUCA conditions

With the onset of the COVID-19 pandemic and BREXIT, there is a prominent need for further understanding of implications of VUCA conditions and the seismic impact this could have on supply chains. During VUCA times, it has been shown that supply chains struggle on a regular basis to maintain and implement sustainability in their production lines especially for swift decision making for business growth, which are hinged on a set of selected KPIs. This is further exacerbated due to multiplicity of theoretical models that identify KPIs applicable to a particular industry. However, these models do not give these industries the independence to set their own criteria or guide their decision making. Decision making processes for procurement or business area growth can be quite time consuming and is complicated due to the multiple criteria inherent within, which are further complicated during VUCA conditions. As an approach to resolve this, this paper discusses an interactive mathematical tool using modified FAHP based calculation to aid in organizational decision making. This is through suggesting the most sustainable option a supply chain organization can implement based on the multiple criteria and options available to that organization during VUCA times (e.g., COVID-19). This model gives the user/organization the independence to set their own criteria and is not based on a pre-defined list of theoretical KPIs to choose from. Three different case studies have been applied to the MCDA model and the results have been verified with actual decisions made. This model correctly ranked the best options as well as indicated that it can replace the multiple meetings and conferences organizations usually must conduct during the decision-making processes. The paper successfully concludes by highlighting the applications of this MCDA Model and the scenarios it can be further applied to, leading to a more streamlined sustainability implementation within supply chains, and guiding decision making during VUCA times