Marco Marconi

Prof. Marco Marconi

Department of Economics, Engineering, Society and Business Organization, Tuscia University, 01100 Viterbo, Italy
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in Advanced Engineering Informatics
Verified
Journal Article
Closed access
CFClaudio Favi
Claudio Favi
Marco MarconiMarco Marconi
Marco Marconi
MGMichele Germani
Michele Germani
Marco MandoliniMarco Mandolini
Marco Mandolini

1 May 2018 in Waste Management
Verified
Journal Article
Closed access
Daniele LandiDaniele Landi
Daniele Landi
SGSilvia Gigli
Silvia Gigli
MGMichele Germani
Michele Germani
Marco MarconiMarco Marconi
Marco Marconi

24 October 2017 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Marco MandoliniMarco Mandolini
Marco Mandolini
CFClaudio Favi
Claudio Favi
MGMichele Germani
Michele Germani
Marco MarconiMarco Marconi
Marco Marconi

1 September 2019 in Applied Energy
Verified
Journal Article
Closed access
Alessandra PapettiAlessandra Papetti
Alessandra Papetti
RMRoberto Menghi
Roberto Menghi
GDGiulia Di Domizio
Giulia Di Domizio
MGMichele Germani
Michele Germani
Marco MarconiMarco Marconi
Marco Marconi

1 March 2018 in International Journal of Production Research
Verified
Journal Article
Closed access
Marco MarconiMarco Marconi
Marco Marconi
MGMichele Germani
Michele Germani
Marco MandoliniMarco Mandolini
Marco Mandolini
CFClaudio Favi
Claudio Favi
Design for end-of-life and design for disassembly are enabling design strategies for the implementation of business models based on the circular economy paradigm. The paper presents a method for calculating the effective disassembly sequence and time for industrial products. Five steps support designers in defining liaisons and related properties and precedence among components with the aim to calculate the best disassembly sequence and time. The effective disassembly time is computed considering the actual conditions of a product and its components (e.g. deformation, rust and wear) using corrective factors. This aspect represents the main contribution to the state of the art in the field of design for disassembly. The corrective factors are derived from a specific data mining process, based on the observation of real de-manufacturing activities. The proposed approach has been used for calculating the disassembly times of target components in a washing machine and in a coffee machine. The case studies highlight the method reliability of both: definition of time-effective disassembly sequences and assessment of effective disassembly times. In particular, a comparison of experimental tests shows a maximum deviation of −6% for the electric motor of the washing machine and −3% for the water pump of the coffee machine.

28 December 2016 in International Journal of Sustainable Engineering
Verified
Journal Article
Closed access
CFClaudio Favi
Claudio Favi
MGMichele Germani
Michele Germani
ALAndrea Luzi
Andrea Luzi
Marco MandoliniMarco Mandolini
Marco Mandolini
Marco MarconiMarco Marconi
Marco Marconi
Recently, environmentally conscious design and extended producer responsibility have become key aspects for companies that need to develop products that are sustainable along their whole life cycle. Design for End of Life (EoL) is a strategy that aims to reduce landfill waste through the implementation of closed-loop product life cycles. It is important to consider disassembly and EoL scenario management as early as the design phase. For these reasons, this paper presents an approach to help designers in the evaluation and subsequent improvement in product EoL performance. The method is based on four innovative EoL indices that compare different EoL scenarios for each product component. In this way, the designer can modify the product structure or the liaisons to maximise the reuse and remanufacture of components as well as material recycling. The presented case studies confirm the validity of the approach in helping designers during the redesign phase of goods and products to reduce the quantity of materials and industrial wastes sent to landfill.