Fuzzy-Based Bow-Tie Framework for Supply Chain Risk Assessment of Restaurant Delivery Service

Supply chain and supply chain management start from the procurement of raw materials from the manufacturer to the consumption of the final product by the consumer. Restaurants generally require a simple but strict sequential supply chain. To satisfy customer expectations, restaurants must anticipate and manage potential risks, that is, supply, operational, demand, and macro risks. There are many factors for each potential risk that can cause these disruptions. An effective risk assessment for restaurant delivery services is still a gap that needs to be filled as a risk analysis, and their impact on customer satisfaction is often imprecise or vague due to linguistic uncertainties. This study proposes a fuzzy-based bowtie framework to improve risk assessment for the supply chain by eliminating these linguistic variations. Potential risks and risk factors were systematically identified and categorized throughout the study. A sensitivity analysis was also carried out to identify and determine significant risk factors and their contributions to the proposed framework to improve risk management. The results prove that eliminating the risk factor with the highest deviation will result in an improvement in the risk management of the restaurant supply chain.