The Coronavirus pandemic affected activities worldwide, among which the supply chain (SC) disruptions is significant. The impact is expected to affect businesses indefinitely; thus, the SC is unlikely to resume its pre‐COVID‐19 status. This study examines the impact of the COVID‐19 pandemic on SCs regarding its disruptions, associated challenges, and trend. It conducts an analysis of SCs stages, phases, and manifestations regarding the consequences, opportunities, and developments induced by the pandemic. A framework for the SC with COVID‐19 is presented towards a future global value chain and continuous improvements. It explores and connects the relevant elements to address the relations of SC‐COVID19 (SCC19). This study is novel as it identifies, categorises, and frames the essential factors and their interrelationships in a comprehensive framework. The SCC19 framework can be of value for decision‐makers and researchers, and can be generalised to other industries. Furthermore, study limitations and future research directions are discussed.

COVID-19 has impacted various aspects of life and business. The economic panic and effects caused by the pandemic have led to disruptions in most supply chains (SCs) worldwide. Our research aims to analyse the impact of COVID-19 on SCs and enable organisations to prioritise solutions based on their relative importance. The research consists of two main phases. Phase I analyses the impact of the pandemic on SCs in terms of challenges, concerns, steps, and solutions with the goal of SC resilience. The second phase proposes a merged Analytic Network Process-Technique for Order Preference by Similarity to Ideal Solution framework (ANP-TOPSIS) to prioritise the solutions that considers the complicated interrelationships between the factors involved in decision-making. The proposed model increases the efficiency of the decision-making process and helps decision makers effectively select solutions based on their importance and impact on business. The results indicate that SCs should continuously utilise technology to withstand future competition and crises.

Rice, being a staple food in many countries, necessitates the identification of reliable suppliers to ensure a steady supply. Consequently, it is vital to establish trustworthy vendors for various types of this essential grain who can meet stringent product quality standards. This study aims to identify, analyze, rank, and select primary rice suppliers. The study emphasizes the importance of selecting and managing suitable providers to meet customer demands, proposes a ranking model for rice suppliers, and introduces developed fuzzy MCDM techniques. It proposes an integrated model for selecting rice suppliers, considering factors related to the processes before, during, and after selecting providers within a defined framework. The outcomes shows that rice supplier selection strategy can efficiently identify reliable rice suppliers, improve buyer value, reduce procurement risk, enhance efficiency, and establish strong supply chain relationships in complex decision-making processes. To assess suppliers, the study introduces two advanced integrated approaches and compares them. The fuzzy entropy weight method (EWM) was used to determine the criteria weights. The ranking of rice suppliers was achieved using a fuzzy multi-objective optimization based on ratio analysis (MOORA), fuzzy complex proportional assessment (COPRAS), and combinations of these two methods in different approaches. The methodology supports decision-makers in a rapidly evolving global environment by assisting importers, traders, suppliers, procurement, and logistics management, particularly for non-rice-cultivating countries in rice importation and supplier selection. The numerical analysis is grounded in a real-world case study of selecting rice suppliers in Jordan. The findings reveal that the various strategies yield both similar and different results. Furthermore, the integrated method is considered the most accurate for evaluating rice imports and suppliers, aligning closely with the reality of the current situation.

Wheat has significantly impacted food security in numerous countries. Like the Middle East and North Africa (MENA) region, Jordan’s daily diet contains a sizable amount of wheat. Further, Jordan is dealing with several issues, including rapid population growth, water scarcity, widespread urbanization, and limited agricultural wheat production. Thus, it imports most of its wheat and wheat products. Moreover, the method of selecting suppliers in Jordan is unique, as private importers import for the benefit of the government, and thus, the selection of suppliers is carried out by importers. This study aims to examine the various supplier selection approaches to determine Jordan’s primary wheat suppliers and rank them according to specified criteria. The fuzzy-VIKOR approach was used to assess, select, and rank the best wheat suppliers in Jordan. The findings suggest that Romania is the best supplier of wheat for Jordan. It is recognized as the most affordable and trustworthy supplier since it is nearby, has strong links through official channels, and is flexible. Suppliers are subject to change or adjust their offerings as a result of changes in the global economy, wheat prices at the source, exchange rates, transportation and handling costs, crises, and national export levies. This study will help importers, decision-makers, and others concerned with wheat imports as a strategic commodity identify and select suppliers.

With the great challenges that the latest pandemic (COVID-19) has imposed on manufacturing companies, the need to overcome and cope with such situations is becoming crucial. Supply chain resilience is one of the main aspects that enables manufacturers to cope with change and uncertainty; therefore, it is essential to develop the capabilities necessary to do so. This study aimed to ensure supply chain resilience in light of the COVID-19 pandemic through prioritizing main supply chain capabilities. After surveying (30) experts in supply chain from leading manufacturing companies in Jordan, a Fuzzy Analytic Hierarchy Process (FAHP) analysis was conducted to prioritize main supply chain capabilities that were derived from the related literature. The results of this study showed that proactive capabilities, followed by reactive capabilities, were the most dominant capabilities that could ensure supply chain resilience, while efficiency-based capabilities were the least significant. Therefore, manufacturing companies should place their focus and emphasis on reacting to this pandemic in a more systematic manner.