Author
Maria Grazia Gnoni
Other affiliations: Instituto Politécnico Nacional
Bio: Maria Grazia Gnoni is an academic researcher from University of Salento. The author has contributed to research in topics: Supply chain & Management system. The author has an hindex of 16, co-authored 68 publications receiving 1266 citations. Previous affiliations of Maria Grazia Gnoni include Instituto Politécnico Nacional.
Papers published on a yearly basis
Papers
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TL;DR: This work analyzes the current literature on CE assessment, then proposes a reference framework for the monitoring phase of a CE strategy, and the main existing environmental assessment methodologies based on indexes are analyzed according to their suitability to evaluate the circularity of a system.
523 citations
TL;DR: The hybrid modelling approach is adopted to test a local as well as a global production strategy in solving the lot sizing and scheduling problem of a multi-site manufacturing system with capacity constraints and uncertain multi-product and multi-period demand.
139 citations
TL;DR: In this paper, the authors proposed a near-miss management system (NMS) based on the integration of principles of Lean Management in occupational safety for a worldwide automotive supplier firm.
86 citations
TL;DR: A multi-criteria model based on Analytic Hierarchy Process (AHP) method has been proposed to provide decision makers with quantitative knowledge for more efficiently designing AR applications in manufacturing to assess the contribution of the AR device in a wider prospective compared to current technological analyses.
Abstract: Augmented Reality (AR) systems could improve performance of manufacturing processes.AR systems are characterized by high technological complexity.Their effective application in the manufacturing requires methods integrating technological and process based metrics.A multi-criteria model is proposed to evaluate the feasibility of AR system application. Augmented Reality (AR) systems in last few years show great potentialities in the manufacturing context: recent pilot projects were developed for supporting quicker product and process design, as well as control and maintenance activities. The high technological complexity together with the wide variety of AR devices require a high technological skill; on the other hand, evaluating their actual impacts on the manufacturing process is still an open question. Few recent studies have analysed this topic by using qualitative approaches based on an "ex post" analysis - i.e. after the design and/or the adoption of the AR system - for evaluating the effectiveness of a developed AR application. The paper proposes an expert based tool for supporting production managers and researchers in effectively evaluating a preliminary ex-ante feasibility analysis for assessing quantitatively most efficient single AR devices (or combinations) to be applied in specific manufacturing processes. A multi-criteria model based on Analytic Hierarchy Process (AHP) method has been proposed to provide decision makers with quantitative knowledge for more efficiently designing AR applications in manufacturing. The model allows to integrate, in the same decision support tool, technical knowledge regarding AR devices with critical process features characterizing manufacturing processes, thus allowing to assess the contribution of the AR device in a wider prospective compared to current technological analyses. A test case study about the evaluation of AR system in on-site maintenance service is also discussed aiming to validate the model, and to outline its global applicability and potentialities. Obtained results highlighted the full efficacy of the proposed model in supporting ex-ante feasibility studies.
85 citations
TL;DR: In this article, the authors present an updated review and synthesis of key ideas and challenges of NMS, and examine important synergies between fundamental safety principles adopted in risk management, including defense and observability-in-depth, and NMS.
74 citations
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TL;DR: The findings show that Industry 4.0 is related to a systemic adoption of the front-end technologies, in which Smart Manufacturing plays a central role, and the implementation of the base technologies is challenging companies, since big data and analytics are still low implemented in the sample studied.
1,245 citations
TL;DR: In this article, the authors identify and analyze the published definitions of green supply chain management (GSCM) and sustainable supply chain Management (SSCM) and two different sets of key characteristics for business sustainability (economic, environmental, social, stakeholder, volunteer, resilience, and long-term focuses) and SCM (i.e., flow, coordination, stake holder, relationship, value, efficiency, and performance focuses) were proposed.
1,020 citations
TL;DR: In this paper, the authors conduct a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0.
Abstract: The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition.,The study performs a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson’s natural language processing for advanced text analysis.,Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later.,The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one-size-fits-all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company’s core competencies, motivations, capabilities, intent, goals, priorities and budgets.,The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0.,The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.
773 citations
TL;DR: A systematic literature review exploring the state-of-the-art of academic research on circular economy (CE) is presented in this paper, where the authors examine the CE body of literature with a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria.
698 citations
TL;DR: The paper extends the state-of-the-art literature by proposing a pioneering roadmap to enhance the application of CE principles in organisations by means of Industry 4.0 and CE principles based on the most relevant management theories.
Abstract: This work makes a case for the integration of the increasingly popular and largely separate topics of Industry 4.0 and the circular economy (CE). The paper extends the state-of-the-art literature by proposing a pioneering roadmap to enhance the application of CE principles in organisations by means of Industry 4.0 approaches. Advanced and digital manufacturing technologies are able to unlock the circularity of resources within supply chains; however, the connection between CE and Industry 4.0 has not so far been explored. This article therefore contributes to the literature by unveiling how different Industry 4.0 technologies could underpin CE strategies, and to organisations by addressing those technologies as a basis for sustainable operations management decision-making. The main results of this work are: (a) a discussion on the mutually beneficial relationship between Industry 4.0 and the CE; (b) an in-depth understanding of the potential contributions of smart production technologies to the ReSOLVE model of CE business models; (c) a research agenda for future studies on the integration between Industry 4.0 and CE principles based on the most relevant management theories.
612 citations