Miguel Afonso Sellitto

Dr. Miguel Afonso Sellitto

Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil
orcid
Prof. PhD of the Production and Systems Graduate Program at ...

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 December 2019 in Applied Energy
Verified
Journal Article
Closed access
MBMaria Angela Butturi
Maria Angela Butturi
Francesco LolliFrancesco Lolli
Francesco Lolli
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto
EBElia Balugani
Elia Balugani
RGR. Gamberini
R. Gamberini
BRB. Rimini
B. Rimini

1 January 2018 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto
LVLuis Antonio Machado Vial
Luis Antonio Machado Vial
CVCláudia Viviane Viegas
Cláudia Viviane Viegas

1 January 2011 in Journal of Cleaner Production
Verified
Journal Article
Closed access
MBMiriam Borchardt
Miriam Borchardt
MWMarcos H. Wendt
Marcos H. Wendt
GPGiancarlo Medeiros Medeiros Pereira
Giancarlo Medeiros Medeiros Pereira
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto

30 January 2015 in International Journal of Production Research
Verified
Journal Article
Closed access
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto
GPGiancarlo Medeiros Medeiros Pereira
Giancarlo Medeiros Medeiros Pereira
MBMiriam Borchardt
Miriam Borchardt
RSRosnaldo Inácio da Silva
Rosnaldo Inácio da Silva
CVCláudia Viviane Viegas
Cláudia Viviane Viegas
Supply Chain Operations Reference (SCOR) is a widely employed model for SC performance assessment, regardless its generic nature. This article presents a SCOR-based model for performance measurement in supply chains (SC) and apply it in the context of Brazilian footwear industry. The model has two dimensions: SCOR processes (source, make, deliver and return) and performance standards adapted from original SCOR (cost, quality, delivery and flexibility). This structure delivers a 4 × 4 matrix, with each component assessed under analytical hierarchy process. Using focus groups, SC’s experts weighted each component of the matrix regarding their relevance. Thereafter, SC’s managers indicated respective results. The SC’s overall performance was obtained by adding the performance of all indicators. The model application embraced one focal footwear manufacturer, four suppliers, three distribution channels and a return channel, with 85 indicators assessed. The achieved performance for the whole SC is 75.29%.The main gaps were found in deliver process (12.78 percentual points of difference between relevance and achieved proportions) and in flexibility performance (9.82). Further application is recommended in order to find consolidated results.

25 May 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
FRANCISCO TARDELLI DA SILVAFRANCISCO TARDELLI DA SILVA
FRANCISCO TARDELLI DA SILVA
Ismael Cristofer BaierleIsmael Cristofer Baierle
Ismael Cristofer Baierle
Ricardo Gonçalves de Faria CorrêaRicardo Gonçalves de Faria Corrêa
Ricardo Gonçalves de Faria Corrêa
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto
FPFernanda Araujo Pimentel Peres
Fernanda Araujo Pimentel Peres
LKLiane Kipper
Liane Kipper
Industry 4.0 digital technologies in agribusiness will enable traditional farming systems to migrate to Agriculture 4.0. Open innovation emerges as an enabler for implementing these technologies and increased sector competitiveness. However, there are still doubts and questions about how technologies and open innovation relate to and will drive Agriculture 4.0. This study identified which digital technologies of Industry 4.0 have more adherence to agribusiness, what the barriers and facilitators for using these technologies are, and how open innovation can increase the competitiveness of agribusiness. The results show that of the Industry 4.0 technologies related to agribusiness, the Internet of Things (IoT) is the most prominent. The main barriers are the users’ need for more knowledge and advanced skills, which evidences the need for investment in training operators. Among the facilitators stand the pre-existence of several technologies, which bring with them already defined basic structures, control of the technology, and communication between systems. To overcome the barriers and enhance the migration to Agriculture 4.0, developing devices, tools, systems, software, and machines is essential. More stakeholders, managers, and practitioners may share such opportunities for innovation in agribusiness through the concept of Open Innovation. To benefit from it, facilitators, managers, and practitioners of agribusiness should search for alternatives for their problems with engineering solutions providers.

21 July 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
Felipe Fehlberg HerrmannFelipe Fehlberg Herrmann
Felipe Fehlberg Herrmann
ABAna Barbosa-Povoa
Ana Barbosa-Povoa
MBMaria Angela Butturi
Maria Angela Butturi
SMSimona Marinelli
Simona Marinelli
Miguel Afonso SellittoMiguel Afonso Sellitto
Miguel Afonso Sellitto
Sustainability and environmental concerns have been important topics of discussion in recent decades. Green supply chain management assures the effectiveness of public and company policies in greening their operations, increasing the market share, improving the company image and reputation, and increasing profits. The objective of this article is to propose a conceptual framework that considers dimensions, categories, and practices in green supply chain management. After an extensive review of the literature, we identified models and a set of green dimensions, categories, and practices used for green supply chain management. From the analysis of the findings, we propose a conceptual framework that is organized into 3 environmental dimensions, 21 categories, and 64 green practices. The framework can contribute to the literature, given that empirical studies mostly select a limited set of dimensions to evaluate supply chain green practices. Finally, this study offers directions for future research.