ABSTRACT
In recent years, scientific interest in the concepts of sustainability and resilience has grown considerably. The Covid-19 pandemic has indeed emphasized all the fragility of manufacturing systems and supply chains both globally and locally. The disruptive effects of the outbreak on production systems, warehouses and distribution networks are evidence of the urgent need for digital twins, which are able to reproduce supply chains behavior and guarantee adequate levels of performance. In this paper, a Simulation-Based Decision-Making Framework, which exploits the Digital Supply Chain Twin paradigm to enhance resilience and sustainability in the face of COVID-like crises, is proposed. Preliminary computational tests, carried out on a real agri-food supply chain, show that the framework is extremely promising for evaluating the validity of multiple response strategies, based on resilience and sustainability indicators. The research represents a first significant step in the design and development of a ready-to-use decision support tool, based on simulation principles and the novel concept of Digital Supply Chain Twin.
ABSTRACT
The COVID-19 pandemic was an unexpected and disruptive event that significantly affected the performance of manufacturing systems and supply chains in various sectors. In this paper, a literature review is provided, which investigates the role that Industry 4.0 technologies and simulation tools have played in addressing the effects of the pandemic crisis. Specifically, a bibliometric analysis provides an overview of the most influential technologies through a study of the most used keywords. While a document analysis, conducted on critical papers that concern real case studies, shows that so far simulation provided support in four main areas: energy consumption, healthcare supply chain & contact tracing, food supply chain, and in general supply chain management. The main outcome of this research work is that Industry 4.0 technologies and simulation models were particularly important during the pandemic crisis and their properties deserve to be deeply exploited in the near future.
ABSTRACT
During the SARS-CoV-2 pandemic (also known as COVID-19), workforce downsizing needs, safety requirements, supply chain breaks and inventory shortages affected manufacturing systems' and supply chain's responsiveness and resilience. Companies wandered in a disrupted scenario because recommended actions/strategies to survive - and thrive - were not available an improvised actions to keep their operations up and running. This paper analyzes the COVID-19 impacts on the workforce and supply resilience in a holistic manner. The following research questions are discussed: (i) how can manufacturing firms cope with urgent staff deficiencies while sustaining at the same time a healthy and safe workforce in the perspective of socially sustainable and human-centric cyber-physical production systems?; (ii) is remote working (cf. smart working) applicable to shop-floor workers?; (iii) is it possible to overcome supply chain breaks without stopping production? In the first part, we propose three Industry 4.0-driven solutions that would increase the workforce resilience, namely: (i) the Plug-and-Play worker; (ii) the Remote Operator 4.0; (iii) the Predictive Health of the Operational Staff. In the second part, the concepts of (i) Digital & Unconventional Sourcing, i.e. Additive Manufacturing, and (ii) Product/Process Innovation are investigated from a novel business continuity and integration perspective. We ultimately argue that forward-looking manufacturing companies should turn a disruptive event like a pandemic in an opportunity for digital and technological innovation of the workplace inspired by the principles of harmonic digital innovation (that places the human well-being at the center). These aspects are discussed with use cases, system prototypes and results from research projects carried out by the authors and real-world examples arising lessons learned and insights useful for scientists, researchers and managers.