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The purpose of this paper is twofold: first, to discuss key challenges associated with the use of either simulation or real-world application of intelligent autonomous vehicles (IAVs) in supply network operations; and second, to provide a theoretical and empirical evidence-based methodological framework that supports the integrated application of conceptualisation, simulation, emulation and physical application of IAVs for the effective design of digital supply networks.

First, this study performs a critical review of the extant literature to identify major benefits and shortcomings related to the use of either simulation modelling or real-word application of physical IAVs. Second, commercial and bespoke software applications, along with a three-dimensional validation and verification emulation tool, are developed to evaluate an IAV’s operations in a conceptual warehouse. Third, a commercial depth-sensor is used as a test bed in a physical setting.

The results demonstrate that conceptual and simulation modelling should be initially used to explore alternative supply chain operations in terms of ideal performance while emulation tools and real-world IAV test beds are eminent in validating preferred digital supply chain design options.

The provided analysis framework was developed using literature evidence along with experimental work and research experience, without consulting any industry experts. In addition, this study was developed based on the application of a single physical device application as a test bed and, thus, the authors should further progress with the testing of a physical IAV in an industrial warehouse.

The study provides bespoke simulation modelling and emulation tools that can be useful for supply chain practitioners in effectively designing network operations.

This work contributes in the operations management field by providing both a multi-stage methodological framework and a practical “toolbox” for the proactive assessment and incorporation of IAVs in supply network operations.

Amidst compounding crises and increasing global population’s nutritional needs, food supply chains are called to address the “diet–environment–health” trilemma in a sustainable and resilient manner. However, food system stakeholders are reluctant to act upon established protein sources such as meat to avoid potential public and industry-driven repercussions. To this effect, this study aims to understand the meat supply chain (SC) through systems thinking and propose innovative interventions to break this “cycle of inertia”.

This research uses an interdisciplinary approach to investigate the meat supply network system. Data was gathered through a critical literature synthesis, domain-expert interviews and a focus group engagement to understand the system’s underlying structure and inspire innovative interventions for sustainability.

The analysis revealed that six main sub-systems dictate the “cycle of inertia” in the meat food SC system, namely: (i) cultural, (ii) social, (iii) institutional, (iv) economic, (v) value chain and (vi) environmental. The Internet of Things and innovative strategies help promote sustainability and resilience across all the sub-systems.

The study findings demystify the structure of the meat food SC system and unveil the root causes of the “cycle of inertia” to suggest pertinent, innovative intervention strategies.

This research contributes to the SC management field by capitalising on interdisciplinary scientific evidence to address a food system challenge with significant socioeconomic and environmental implications.

The purpose of this paper is to investigate strategies to manage product recalls where shortages are a critical threat, with impacts such as loss of life. The authors aim to identify key supply chain strategies and opportunities for theoretical advancement by taking a resilience perspective on temporary supply chain design.

First, the authors conducted an impact event analysis of product recalls by exploring the RAPEX database and official statements of individual country regulators. Second, the authors conducted an exploratory case study with the Cambridge University Hospitals on Personal Protective Equipment to explore product recall risks, utilising an action research methodology.

Additional processes, mainly testing, can compensate for the risks that may arise from temporary supply chains, where changes in location and product design are not possible due to the immediate nature of demand caused by COVID-19 pandemic. This finding reflects on the resilience of designing and implementing temporary supply chains from the perspective of product, process and location.

This paper does not employ an in-depth multiple case study methodology. However, the authors argue that the role of institutional actors in global supply chains and its implications on product safety needs to be empirically studied in order to expand existing supply chain management theories to cover resilience in emerging, mature and temporary supply chain.

Managers can learn from the Cambridge University Hospitals case study that a downstream quality inspection system can be deployed to manage product quality and safety risks where recalls are not an option, such as during critical situations in the COVID-19 pandemic.

The authors’ observations suggest that governments may be socially responsible for implementing rigorous mechanisms to manage product recall risks that compromise consumer safety.

The authors’ study is uniquely designed and studies various specific phenomena of product recalls risks in COVID-19. The unique design features include a dynamic and recent database analysis involving a product, process and location centric perspective complemented with a Cambridge University Hospitals case study.