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1.
International Journal of Production Research ; 61(8):2402-2415, 2023.
Article in English | Scopus | ID: covidwho-2264160

ABSTRACT

The COVID-19 pandemic has triggered new research areas in supply chain resilience. One of these new areas is viability. Viability extends the resilience understanding from performance-based assessment of firm's responses to disruptions towards survivability of both supply chains and associated ecosystems not only during some short-term disruptions but also under conditions of long-term crises. To explore the state-of-the-art knowledge on methods, models, capabilities, and technologies of supply chain viability, we edited this important IJPR special issue. To introduce the special issue, we review the existing literature on supply chain viability, conceptualise seven major pillars of supply chain viability theory (i.e. viable supply chain design, viability in process planning and control, ripple effect, intertwined and reconfigurable supply networks, ecosystems, digital supply chain, and Industry 5.0), and establish some associated future research directions. The findings of this editorial paper, as well as the articles in the special issue, can be used by researchers and practitioners alike to consolidate recent advances and practices of viability in supply chain networks and lay the solid foundation for further developments in this area. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

2.
Ifac Papersonline ; 55(10):2749-2754, 2022.
Article in English | Web of Science | ID: covidwho-2131074

ABSTRACT

The majority of publications in the scientific literature investigate stochastic demand processes with constant order lead times. In practice, inventory management software like MRP is used by companies even if ignored the uncertainty of lead times. In this work, we investigate the influence of this type of uncertainty and existing solutions proposed in the scientific literature. To do this, ARTIREV tool is used to identify the major schools of thought competing in the filed and highlight the current and emerging research themes. One conclusion is obvious from this preliminary work. Even though lead times are very disruptive to supply chain, as seen during the Covid crisis, most of the work is still only interested in the uncertainties related to demand. Copyright (C) 2022 The Authors.

3.
Ifac Papersonline ; 55(10):1693-1698, 2022.
Article in English | Web of Science | ID: covidwho-2131060

ABSTRACT

Reconfigurable supply chains received increasing interest from academia and industry in the past years, especially because recent events such as the COVID-19 pandemic revealed the vulnerability of present supply chains. Especially the rapid digitalization and the emergence of artificial intelligence in supply chain management create new opportunities for implementing reconfigurable supply chains. In this paper, we propose a concept that uses a knowledge graph and graph-based artificial intelligence to recommend reconfigurations of the supply chain. Due to the importance of these strategic decisions, the concept considers a humancentric approach using a recommender system. The knowledge graph exploits the inherent graph structure of supply chains to create a machine-readable and human-understandable database that also supports reasoning. Finally, we provide three research hypotheses and examine the integration of open-source knowledge graphs and news monitoring tools. Copyright (C) 2022 The Authors.

4.
Springer Series in Supply Chain Management ; 20:121-146, 2022.
Article in English | Scopus | ID: covidwho-2085260

ABSTRACT

The use of Additive Manufacturing (AM) has become more widespread in recent years, covering different sectors. The increased interest in AM is due to the main benefits associated with its use, such as the possibility to produce even complex parts on demand and on the service site. These benefits have recently made researchers and practitioners hypothesize that AM can guarantee supply chain (SC) resilience, hence triggering their interest in AM as an emergency solution for SC disruptions. With the COVID-19 pandemic outbreak, this hypothesis has been confirmed to be true. In fact, AM has been shown to be very effective in guaranteeing the restoration and reconstruction of the SC, especially in the production of medical equipment (e.g., face masks, valves for respirators, etc.). However, to the best of the authors’ knowledge, the impact of AM on SC resilience has never been quantified before. Similarly, the potentialities of AM to guarantee the resilience of an SC outside of the medical sector have been barely treated (and never in a quantitative way). In this work, we aim to fill these two gaps. To do so, starting from the global supply chain of a company selling lighting equipment (available in the literature), we evaluated the potential of adopting AM as an emergency solution in guaranteeing SC resilience during the COVID-19 pandemic. Specifically, we considered 15 different scenarios where we considered the pandemic outbreak to be limited to the country of production as well as spread worldwide. From the results, the benefits of adopting AM, in terms of revenue, profit, service Level and lead time, were evident. Moreover, from the specific case considered we were also able to draw some general conclusions and suggest to SC managers when the use of AM would be beneficial. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021 ; 629 IFIPAICT:789-796, 2021.
Article in English | Scopus | ID: covidwho-1565258

ABSTRACT

The coronavirus crisis had a critical impact on supply chains and production worldwide. In particular, closed borders often prevented companies from obtaining the components required for their production. Such disruptions are the results of globalization, with suppliers spreading all over the world. The circular economy is an opportunity to overcome this challenge since components from end-of-life items may substitute supplies from afar. However, many barriers exist in the implementation of circular processes, as manufacturers perceive it as a radical change to their procedures. Therefore, we propose not to use completely new lines for the circular economy, but to use already existing systems. This paper presents the definition of circular integrated production systems (CIPS) and suggests a research roadmap for such to investigate what challenges and potentials arise, and what future research will be needed. © 2021, IFIP International Federation for Information Processing.

6.
Operations Management Research ; : 12, 2021.
Article in English | Web of Science | ID: covidwho-1252226

ABSTRACT

Businesses and governments are becoming increasingly concerned about the resilience of supply chains and calling for their review and stress testing. In this conceptual essay, we theorize a human-centred ecosystem viability perspective that spans the dimensions of resilience and sustainability and can be used as guidance for the conceptualization of supply chain resilience analysis in the presence of long-term crises. Subsequently, we turn to the technological level and present the digital supply chain twin as a contemporary instrument for stress testing supply chain resilience. We provide some implementation guidelines and emphasize that although resilience assessment of individual supply chains is important and critical for firms, viability analysis of intertwined supply networks and ecosystems represents a novel and impactful research perspective. One of the major outcomes of this essay is the conceptualization of a human-centred ecosystem viability perspective on supply chain resilience.

7.
International Journal of Production Research ; 59(1):102-109, 2021.
Article in English | Scopus | ID: covidwho-1066053

ABSTRACT

Ripple effect is a specific area of SC disruptions and a strong stressor to SC resilience. Research on the ripple effect analyses how one or more disruptive events propagate through the SC and impact its resilience and performance. The phenomenon of the ripple effect, immensely existing in practice, has received great research interest in recent years. Ripple effect management, modelling and assessment became visible research avenues with a growing number and scope of contributions. This Special Issue presents recent developments on the ripple effect in SCs. The Special Issue focuses on studies that address the ripple effect and provide a comprehensive picture of the state of the art and future perspectives. The methodologies comprise of mathematical optimisation, simulation, game theory, control theoretic, data-driven analytics, network complexity, reliability theory research, and empirical research. Even though a variety of valuable insights have been developed in this area in recent years, new research avenues and ripple effect taxonomies are identified for further exploring the ripple effect in the settings of the COVID-19 pandemic, SC viability, viable SC model, and reconfigurable SCs. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

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