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Researcher in the field of supply chain management and manufacturing
The steel industry is an important engine for sustainable growth, added value, and high-quality employment within the European Union. It is committed to reducing its CO2 emissions due to production by up to 50% by 2030 compared to 1990′s level by developing and upscaling the technologies required to contribute to European initiatives, such as the Circular Economy Action Plan (CEAP) and the European Green Deal (EGD). The Clean Steel Partnership (CSP, a public–private partnership), which is led by the European Steel Association (EUROFER) and the European Steel Technology Platform (ESTEP), defined technological CO2 mitigation pathways comprising carbon direct avoidance (CDA), smart carbon usage SCU), and a circular economy (CE). CE approaches ensure competitiveness through increased resource efficiency and sustainability and consist of different issues, such as the valorization of steelmaking residues (dusts, slags, sludge) for internal recycling in the steelmaking process, enhanced steel recycling (scrap use), the use of secondary carbon carriers from non-steel sectors as a reducing agent and energy source in the steelmaking process chain, and CE business models (supply chain analyses). The current paper gives an overview of different technological CE approaches as obtained in a dedicated workshop called “Resi4Future—Residue valorization in iron and steel industry: sustainable solutions for a cleaner and more competitive future Europe” that was organized by ESTEP to focus on future challenges toward the final goal of industrial deployment.
Johannes Rieger; Valentina Colla; Ismael Matino; Teresa Branca; Gerald Stubbe; Andrea Panizza; Carlo Brondi; Mohammadtaghi Falsafi; Johannes Hage; Xuan Wang; Bernhard Voraberger; Thomas Fenzl; Victoria Masaguer; Eros Faraci; Loredana di Sante; Filippo Cirilli; Florian Loose; Christoph Thaler; Aintzane Soto; Piero Frittella; Gianpaolo Foglio; Cosmo di Cecca; Mattia Tellaroli; Marco Corbella; Marta Guzzon; Enrico Malfa; Agnieszka Morillon; David Algermissen; Klaus Peters; Delphine Snaet. Residue Valorization in the Iron and Steel Industries: Sustainable Solutions for a Cleaner and More Competitive Future Europe. Metals 2021, 11, 1202 .
AMA StyleJohannes Rieger, Valentina Colla, Ismael Matino, Teresa Branca, Gerald Stubbe, Andrea Panizza, Carlo Brondi, Mohammadtaghi Falsafi, Johannes Hage, Xuan Wang, Bernhard Voraberger, Thomas Fenzl, Victoria Masaguer, Eros Faraci, Loredana di Sante, Filippo Cirilli, Florian Loose, Christoph Thaler, Aintzane Soto, Piero Frittella, Gianpaolo Foglio, Cosmo di Cecca, Mattia Tellaroli, Marco Corbella, Marta Guzzon, Enrico Malfa, Agnieszka Morillon, David Algermissen, Klaus Peters, Delphine Snaet. Residue Valorization in the Iron and Steel Industries: Sustainable Solutions for a Cleaner and More Competitive Future Europe. Metals. 2021; 11 (8):1202.
Chicago/Turabian StyleJohannes Rieger; Valentina Colla; Ismael Matino; Teresa Branca; Gerald Stubbe; Andrea Panizza; Carlo Brondi; Mohammadtaghi Falsafi; Johannes Hage; Xuan Wang; Bernhard Voraberger; Thomas Fenzl; Victoria Masaguer; Eros Faraci; Loredana di Sante; Filippo Cirilli; Florian Loose; Christoph Thaler; Aintzane Soto; Piero Frittella; Gianpaolo Foglio; Cosmo di Cecca; Mattia Tellaroli; Marco Corbella; Marta Guzzon; Enrico Malfa; Agnieszka Morillon; David Algermissen; Klaus Peters; Delphine Snaet. 2021. "Residue Valorization in the Iron and Steel Industries: Sustainable Solutions for a Cleaner and More Competitive Future Europe." Metals 11, no. 8: 1202.
The critical success factor of the supply chain management process in a modern manufacturing company consists in the company’s capability to exploit the data produced by a growing number of different sources. The latter include a network of collaborative sensors, digital tools, and services, made available to suppliers and other involved supply chain actors by the recent advancements in digitalization. The collected data can be processed and analyzed in near real time to extract significant information useful for the company to take some relevant decisions. However, these data are typically produced under the form of heterogeneous formats, as they arrive from different types of sources. This is the reason why the real challenge is finding valid solutions that support the data integration. In this regard, this paper investigates the potential of a solution for data integration that allows supporting a set of interacting decision-support tools within the inbound logistics of the automotive manufacturing. This solution is based on a message-oriented middleware which enables a collaborative approach where suppliers, trucks, dock managers and production plants can share information about their own status for the optimization of the overall system.
Nicola Mincuzzi; Mohammadtaghi Falsafi; Gianfranco E. Modoni; Marco Sacco; Rosanna Fornasiero. Managing Logistics in Collaborative Manufacturing: The Integration Services for an Automotive Application. Security Education and Critical Infrastructures 2019, 355 -362.
AMA StyleNicola Mincuzzi, Mohammadtaghi Falsafi, Gianfranco E. Modoni, Marco Sacco, Rosanna Fornasiero. Managing Logistics in Collaborative Manufacturing: The Integration Services for an Automotive Application. Security Education and Critical Infrastructures. 2019; ():355-362.
Chicago/Turabian StyleNicola Mincuzzi; Mohammadtaghi Falsafi; Gianfranco E. Modoni; Marco Sacco; Rosanna Fornasiero. 2019. "Managing Logistics in Collaborative Manufacturing: The Integration Services for an Automotive Application." Security Education and Critical Infrastructures , no. : 355-362.
Mohammadtaghi Falsafi; Rosanna Fornasiero; Walter Terkaj. Performance Evaluation of Stochastic Forward and Reverse Supply Networks. Procedia CIRP 2019, 81, 1342 -1347.
AMA StyleMohammadtaghi Falsafi, Rosanna Fornasiero, Walter Terkaj. Performance Evaluation of Stochastic Forward and Reverse Supply Networks. Procedia CIRP. 2019; 81 ():1342-1347.
Chicago/Turabian StyleMohammadtaghi Falsafi; Rosanna Fornasiero; Walter Terkaj. 2019. "Performance Evaluation of Stochastic Forward and Reverse Supply Networks." Procedia CIRP 81, no. : 1342-1347.
Management of the supply chain in the automotive sector is one of the most complex tasks since it involves numerous partners. Managing the inbound flow becomes more vital for large automotive manufacturers with hundreds of suppliers providing components according to just-in-time strategies. This paper presents a decision-support toolkit for monitoring and managing the disruptions in the inbound flow of the automotive sector. When a disruptive event happens, it affects the dock and transportation planning of the manufacturer. To cope with the consequent order displacements, some alternative solutions can be applied, with each alternative incurring additional costs. The paper proposes a managing strategy in which optimization models for the dock plan are utilized to deal with disruptive orders and to minimize the negative impacts on time and cost in the supply network.
Mohammadtaghi Falsafi; Irene Marchiori; Rosanna Fornasiero. Managing Disruptions in Inbound Logistics of the Automotive Sector. IFAC-PapersOnLine 2018, 51, 376 -381.
AMA StyleMohammadtaghi Falsafi, Irene Marchiori, Rosanna Fornasiero. Managing Disruptions in Inbound Logistics of the Automotive Sector. IFAC-PapersOnLine. 2018; 51 (11):376-381.
Chicago/Turabian StyleMohammadtaghi Falsafi; Irene Marchiori; Rosanna Fornasiero. 2018. "Managing Disruptions in Inbound Logistics of the Automotive Sector." IFAC-PapersOnLine 51, no. 11: 376-381.
Industrial symbiosis can well represent a new kind of collaborative network which demands resolute attention to the flow management of materials, by-products, and waste through local and regional economies. Industrial symbiosis engages traditionally separate companies in a collaborative approach to competitive advantage involving physical exchange of different kind of products which are usually disregard by traditional market transitions. The identification of innovative models to support decision-making process in this kind of networks is urgent since it is necessary to close the loop assuring profitability at a single node as well as at system level. This paper proposes the application of the bi-level optimization model as a way to handle this two-stage problem organized into two cooperating layers. As a preliminary result, the model is applied to a simplified case where the nodes can sell their output to the market or share them in the industrial symbiosis to increase the global efficiency.
Mohammadtaghi Falsafi; Rosanna Fornasiero; Umberto Dellepiane. How to Make Industrial Symbiosis Profitable. Lecture Notes in Control and Information Sciences 2017, 506, 614 -625.
AMA StyleMohammadtaghi Falsafi, Rosanna Fornasiero, Umberto Dellepiane. How to Make Industrial Symbiosis Profitable. Lecture Notes in Control and Information Sciences. 2017; 506 ():614-625.
Chicago/Turabian StyleMohammadtaghi Falsafi; Rosanna Fornasiero; Umberto Dellepiane. 2017. "How to Make Industrial Symbiosis Profitable." Lecture Notes in Control and Information Sciences 506, no. : 614-625.
This paper analyzes different approaches for managing Waste Electronic and Electrical Equipment (WEEE) in order to reduce the economic and environmental impacts and in particular how to manage collaborative networks. The classifications are made based on the review of the recent and related literature in WEEE treatment and show the impacts on different cases studied in the literature. In addition, a simulation model is proposed to study the practical impact of improving the capability of a Region to treat WEEE components.
Mohammadtaghi Falsafi; Rosanna Fornasiero. Establishing Networks for the Treatment of WEEE Components. Lecture Notes in Control and Information Sciences 2016, 652 -660.
AMA StyleMohammadtaghi Falsafi, Rosanna Fornasiero. Establishing Networks for the Treatment of WEEE Components. Lecture Notes in Control and Information Sciences. 2016; ():652-660.
Chicago/Turabian StyleMohammadtaghi Falsafi; Rosanna Fornasiero. 2016. "Establishing Networks for the Treatment of WEEE Components." Lecture Notes in Control and Information Sciences , no. : 652-660.