International Society on Multiple Criteria Decision Making (MCDM) brings together academicians, professionals, researchers, students and policymakers at a bi-annual conference since 1975. MCDM 2019, one of those conferences, gathered 261 participants from five continents and 39 countries. The modern world is experiencing a shift from a production-focussed age to the information-focussed age. As the organisers of the conference believe that the information age will be followed by a decision age where MCDM will play a crucial role in using information and communication technology for making better decisions, they announced the theme of the conference as "MCDM beyond the information age". They also prepared the call for this special issue, inviting researchers across the world to submit their work supporting decision-making with multiple criteria methods.MCDM models incorporate concerns about multiple conflicting criteria into the management planning processes covering a wide variety of topics. With a vast domain of applications, multiple criteria decision models are increasingly used for supply chain decision-making. This special issue covers decision-making studies on quality in manufacturing, sustainability in supply chains, location selection and employee selection.We open the special issue with two papers on risk management. Unver et al. (2020) present a decision support system for proactive failure prevention in an automotive company. Automotive products have become increasingly complex, and the decision support system estimates risk scores for workstations using multiple attributes. Based on the analytic network process (AHP), the decision model brings together design-driven factors, processdriven factors and human-focussed factors to produce a risk index for each workstation. We expect this application to inform other similar applications of risk prevention in complex manufacturing environments.Fattahi et al. (2020) highlight the importance of risk management in various industries and focus on assessing the risk of different failure modes as well as several risk factors, such as occurrence, severity and detection. Their fuzzy-based FMEA model is tested in a case study, Kerman Steel Industries Factory, and a sensitivity analysis is further conducted to validate their results.Majd and Hobson (2020) develop an integrated decision model which evaluates provider agents with respect to reliability, unreliability, and uncertainty and proposes the most trustworthy provider agent in e-commerce multi-agent environments utilising TOPSIS method. The model is believed to enhance the fulfilment of purchasing between provider and requester agents.Shifting the focus to sustainability, Calik (2020) introduces a hybrid approach for supplier selection, incorporating sustainability criteria into the process. This three-stage hybrid approach starts with identifying main and sub-criteria, constructing a hierarchical structure and prioritising the criteria using the fuzzy AHP in the second stage. Finally, the third stage comprises...