Background: Endogenous and exogenous factors impact the operational characteristics of supply chains, affecting wholesale warehouses. The survival of a warehouse is often threatened by disruptive events that alter infrastructure and performance. The emergence of COVID-19 exemplified the need for adaptability in retail goods supply chains, emphasizing the necessity for responding to external shocks. Methods: The MARLIN (Method wArehouse ResiLience dIstruptioN) method, founded on theories and models of resilience engineering is introduced. MARLIN is a practical tool designed to identify key areas requiring intervention in response to disruptive events. An empirical test was conducted in an Italian warehouse. Results: The conducted test yielded tangible results, demonstrating the efficacy of the method. It successfully pinpointed areas necessitating intervention and identified Key Performance Indicators (KPIs) associated with disruptions. The study not only underscores the importance of data collection but also highlights the often-overlooked significance of warehouse management. Conclusions: The study establishes MARLIN as a valuable asset for stakeholders involved in disruption management. Its application has proven instrumental in recognizing areas of intervention and identifying KPIs related to disruptions. Ongoing research endeavors to broaden its applicability across diverse supply chain scenarios, aiming to enhance situational awareness and enable proactive risk assessment through what-if analysis.

The COVID-19 outbreak adversely impacted agri-food supply chains and caused a severe socio-economic crisis worldwide. Preventive measures taken by several countries have affected production and distribution. Moreover, producers have had to face difficulties related to changes in local and international export markets, a decrease in the labor force due to the spread of the virus, and challenges in harvesting, processing, and shipment of products. However, despite the extraordinary nature of the disruption, supply chains have demonstrated a fair, resilient, and sustainable crisis recovery. Although a large number of papers deal with supply chains and the pandemic’s impact, a review of measures implemented that comprehensively includes resilience dimensions is still lacking. The scope of this paper is to survey available literature in order to understand whether there are classes of actions and strategies undertaken by meat supply chains in managing the pandemic. Documents were reviewed through a protocol based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) review technique. The survey highlights which actions have enabled supply chain resilience by underling virtuous behaviors and lessons learned. These findings support the need for further investigation of supply chain resilience and offer practitioners guidance toward a greater understanding of impacts and implementable strategies.

In the field of industrial process monitoring, scholars and practitioners are increasing interest in time-varying processes, where different phases are implemented within an unknown time frame. The measurement of process parameters could inform about the health state of the production assets, or products, but only if the measured parameters are coupled with the specific phase identification. A combination of values could be common for one phase and uncommon for another phase; thus, the same combination of values shows a high or low probability depending on the specific phase. The automatic identification of the production phase usually relies on clustering techniques. This is largely due to the difficulty of finding training fault data for supervised models. With these two considerations in mind, this contribution proposes the Latent Dirichlet Allocation as a natural language-processing technique for reviewing the topic of clustering applied in time-varying contexts, in the maintenance field. Thus, the paper presents this innovative methodology to analyze this specific research fields, presenting the step-by-step application and its results, with an overview of the theme.