Massimiliano M. Schiraldi

Prof. Massimiliano M. Schiraldi

Tor Vergata University of Rome
+1
orcid
Full Professor of Operations Management

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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26 April 2012 in International Journal of Production Research
Verified
Journal Article
Closed access
DFDiego Falsini
Diego Falsini
FFFederico Fondi
Federico Fondi
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi
Saaty's AHP is helpful in evaluating alternatives thanks to its effective procedure to determine the relative weights of several comparison criteria. Combining the results of expert interviews, AHP can be very useful for a company in choosing a third party logistics service provider (3PL). However, in the traditional AHP procedure, several results may be rejected when the consistency ratio (CR) of the respondent exceeds a certain threshold. As a consequence, AHP interviews may be repeated several times with a consequent waste of time. In many industrial domains, a faster way to choose a supplier would thus be appreciated. In this paper we propose a mathematical method that combines AHP, DEA and linear programming in order to support the multi-criteria evaluation of third party logistics service providers. The proposed model aims to overcome the limitation of the AHP method, merging experts’ indications with objective judgments which originate from historical data analysis. Suppliers' past performance is thus used to correct eventual errors resulting from the acceptance of interviews where the consistency ratio is high. The proposed model has been validated on the real case of an international logistics service provider.

1 November 2018 in Simulation Modelling Practice and Theory
Verified
Journal Article
Closed access
Antonio ComiAntonio Comi
Antonio Comi
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi
BBBerta Buttarazzi
Berta Buttarazzi

17 January 2025 in Future Internet
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Journal Article
Open access
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Italo Cesidio FantozziItalo Cesidio Fantozzi
Italo Cesidio Fantozzi
ASAnnalisa Santolamazza
Annalisa Santolamazza
Giancarlo LoyGiancarlo Loy
Giancarlo Loy
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi
The Fourth Industrial Revolution, known as Industry 4.0, has transformed the manufacturing landscape by integrating advanced digital technologies, fostering automation, interconnectivity, and data-driven decision-making. Among these innovations, Digital Twins (DTs) have emerged as a pivotal tool, enabling real-time monitoring, simulation, and optimization of production processes. This paper provides a comprehensive exploration of DT technology, offering a strategic framework for its effective implementation within Industry 4.0 environments to enhance operational efficiency. The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. Through a detailed case study, this work demonstrates how DTs can optimize production processes, reduce downtime, and improve maintenance strategies. The findings highlight DTs’ transformative potential in achieving continuous improvement, competitiveness, and operational excellence. This research aims to provide organizations with actionable insights and a roadmap to leverage DT technology for sustainable industrial innovation.

1 January 2018 in Procedia Manufacturing
Verified
Journal Article
Open access
LZLi Zhu
Li Zhu
CJCharlotta Johnsson
Charlotta Johnsson
MVMartina Varisco
Martina Varisco
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi

1 January 2013 in International Journal of Engineering Business Management
Verified
Journal Article
Open access
AFAndrea Fumi
Andrea Fumi
APArianna Pepe
Arianna Pepe
LSLaura Scarabotti
Laura Scarabotti
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi
In the fashion industry, demand forecasting is particularly complex: companies operate with a large variety of short lifecycle products, deeply influenced by seasonal sales, promotional events, weather conditions, advertising and marketing campaigns, on top of festivities and socio-economic factors. At the same time, shelf-out-of-stock phenomena must be avoided at all costs. Given the strong seasonal nature of the products that characterize the fashion sector, this paper aims to highlight how the Fourier method can represent an easy and more effective forecasting method compared to other widespread heuristics normally used. For this purpose, a comparison between the fast Fourier transform algorithm and another two techniques based on moving average and exponential smoothing was carried out on a set of 4-year historical sales data of a €60+ million turnover medium- to large-sized Italian fashion company, which operates in the women's textiles apparel and clothing sectors. The entire analysis was performed on a common spreadsheet, in order to demonstrate that accurate results exploiting advanced numerical computation techniques can be carried out without necessarily using expensive software.

1 January 2017 in Transportation Research Procedia
Verified
Journal Article
Open access
Antonio ComiAntonio Comi
Antonio Comi
BBBerta Buttarazzi
Berta Buttarazzi
Massimiliano M. SchiraldiMassimiliano M. Schiraldi
Massimiliano M. Schiraldi
RIRosy Innarella
Rosy Innarella
MVMartina Varisco
Martina Varisco
LRLuca Rosati
Luca Rosati
The paper proposes a simulation framework for planning, managing and controlling urban delivery schemes taking into account the real-time occupancy of delivery bays and the possibility to drive transport operators in their delivery tours providing personal and real-time information. A methodology that allows the real-time management of urban delivery operations (including prior booking) to be simulated and the performance indicators (to be used in the ex-ante assessment of delivery scenarios) to be computed was developed, on top of an application for testing the presented methods and for pointing out the importance of using telematics applications for managing and controlling such operations. Significant results were obtained according to some management and operations control rules