Extending the notion that reshoring can have a significant impact on a firm's supply network owing to the associated location decisions, we explore how reshoring influences the resilience and sustainability of a focal firm's supply network. While reshoring is triggered by aspects related to both the home (domestic) and the host (foreign) country, frequently more favourable aspects in the home country lead to the reshoring decision. To investigate these dynamics, we construct two large-scale networks consisting of 2066 and 1283 firms, respectively, capturing the supply networks of Apple and Jaguar Land Rover. Both networks have been experiencing the reshoring of previously foreign suppliers to domestic locations. Our investigation captures the network dynamics created by this relocation of tier 1 suppliers for the overall supply chain network, that is, also for higher-tier/subtier suppliers. The results reveal, contrary to our expectations, that indirect (sub-tier) foreign suppliers positively influence the network's resilience, with this impact, however, being negatively moderated by their degree centrality, that is, the number of ties a node possesses. In addition, existing indirect (sub-tier) domestic suppliers do not have a significant influence on the resilience of the network. No evidence was found for the impact of reshoring on sustainability. Overall, our study contributes to the reshoring literature by delineating its influence on both the resilience and the sustainability of a focal firm's supply chain network.

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PurposeThis paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.Design/methodology/approachThis paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.FindingsThe proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.Research limitations/implicationsThe proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Practical implicationsThis research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Originality/valueThis is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the last decade, particularly during the last 5 years, there has been a flurry of literature on supply chain risk management (SCRM), illustrating the need for further classification so as to guide researchers to the most promising avenues and opportunities. We therefore conduct a bibliometric and network analysis of SCRA publications to identify research areas and underlying themes, leading to the identification of three major research clusters for which we provide interpretation and guidance for future work. In doing so we focus in particular on the variety of parameters, analytical approaches, and characteristics of multi-criteria decision-making techniques for assessing supply chain risks. This offers an invaluable synthesis of the SCRA literature, providing recommendations for future research opportunities. As such, this paper is a formidable starting point for operations researchers delving into this domain, which is expected to increase significantly also due to the current pandemic.