Sustainability assessment of sugarcane production systems: SustenAgro Decision Support System

Jesus, K. R. E. de; Torquato, S. A.; Machado, Pedro Gerber; Zorzo, Catiana Regina Brumatti; Cardoso, Bruno Oliveira; Leal, M. de L. da S.; Picoli, Michelle Cristina Araújo; Ramos, Rejane Cecilia; Dalmago, Genei Antônio; Capitani, Daniel Henrique Dario; Duft, Daniel Garbellini; Suárez, John Garavito; Pierozzi, I.; Trevelin, Luis Carlos; Moreira, Dilvan de Abreu

doi:10.1016/j.envdev.2019.05.003

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…[45], [46] 5 Environment aspect [55] 13 Artificial Neural Networks Triple Bottom Line aspects [56] Based on some weaknesses of the existing sustainability assessment techniques, a new technique is required to improve sustainability. Challenges to measuring a sustainable supply chain are limited information to combine data and involve multiple stakeholders, so a sustainable supply chain must be analyzed in depth based on sustainability indicators.…”

Section: Methods and Approach For Sustainable Supply Chain Assessmentmentioning

confidence: 99%

Sustainable sugarcane supply chain performance assessment: A review and research agenda

Mursidah

Fauzi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Supply chain sustainability has become a popular concept used by several businesses to increase business competitiveness. However, there is no standard for measuring supply chain sustainability and business competitiveness. The objectives of this research were to analyze and criticize existing methods for supply chain sustainability assessment and develop a new framework for future research. This study reviewed 151 scientific articles related to supply chain sustainability assessments from 2004 to 2020. The results show that many techniques are used for sustainability assessments. However, no single technique can comprehensively measure supply chain sustainability. Therefore, a new robust technique that accommodates complex data in a sustainable supply chain is required. The technique to be developed is a machine learning technique because it can accommodate multi-criteria problems with various nonlinear relationships. This research is a case study of the sugarcane agroindustry supply chain. The supply chain of the sugarcane agroindustry faces various sustainability issues caused by negative environmental impacts. The analysis results show that using machine learning techniques to assess sustainability for the sugarcane agroindustry’s supply chain has great potential to be developed. Machine learning applications for this assessment can also be used to monitor the performance of organizations. Thereby organizations can enhance their sustainability performance through data-driven decision-making.

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Section: Methods and Approach For Sustainable Supply Chain Assessmentmentioning

confidence: 99%

Sustainable sugarcane supply chain performance assessment: A review and research agenda

Mursidah

Fauzi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The flow diagram (Figure 1) demonstrates systematic review as per shown below: MCA study, several papers have been selected that may be relevant to the ethanol plant. In biorefinery plants, most past researchers discuss the system of sustainability with focus on biomass supply chains, site selection, biomass process in biorefinery site and sustainability assessment methodologies (How & Lam, 2018;Jeong & Ramírez-Gómez, 2018a;Jesus et. al., 2019a;Martinkus et.…”

Section: Data Abstraction and Analysismentioning

confidence: 99%

A Systematic Literature Review of Multi-Criteria Analysis Model Methods on Sustainability Weighting for Ethanol Plant

Halim¹,

Radzi²,

Kasim³

et al. 2021

ASMScJ

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The sustainability weighting is crucial as it is practically implemented into sustainability evaluation, especially in industrial development. Sustainability is about the interconnection between three aspects of sustainability impact such as economic impact, environmental impact, and social impact. Multi-Criteria Analysis (MCA) model play important roles to measure the weighting for each impact according to the scenario and criteria selected based on scientific rules and robust statistical methods. However, there were insufficient studies on the existing literature sustainability weighting model from MCA method for the ethanol plant. Hence, the present paper demonstrates a systematic literature review of MCA model methods on sustainability weighting for the ethanol plant. There are two steps involved in systematic literature reviews: formulation of the research question and systematic searching strategies consisting of identification, screening, eligibility, quality appraisal, data abstraction and analysis. The review is based on leading databases; Scopus – ScienceDirect, Springer, Taylor and Francis, and one supporting database – Google Scholar. From the review, the preferable MCA weighting model for sustainability evaluation of ethanol plants is ‘integrated Analytical Hierarchy Process (AHP)’ rather than ‘standalone AHP’. The paper offered a significant contribution to the body of knowledge and sustainability evaluation purposes.

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“…Por lo tanto, es necesario evaluar y medir, de manera integrada, los impactos ambientales causados por la expansión del cultivo de caña de azúcar para verificar si el progreso de la caña de azúcar se produce de manera sostenible. Desde una perspectiva agrícola, la sostenibilidad podría resumirse como la capacidad de los sistemas agrícolas para mantener su producción a largo plazo sin agotar los recursos disponibles, incluida la biodiversidad, la fertilidad del suelo y los recursos hídricos, con su manejo adecuado (Evaristo de Jesús et al, 2019).…”

Section: Figura 1 Localización Del áRea De Estudio Parroquia Fátima Cantón Y Provincia De Pastazaunclassified

Evaluación de la calidad de los suelos en cultivares de caña de azúcar (Saccharum officinarum L.) en la parroquia Fátima provincia de Pastaza

González

Bravo

Romero

et al. 2019

cyt

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Al ser el recurso suelo uno de los componentes fundamentales que provee de bienes y servicios para el desarrollo de la vida, para cubrir la necesidad alimentaria en los actuales tiempos, demanda de mayores áreas con monocultivo, esta es la razón de la degradación de los ecosistemas naturales; el objeto de estudio fue evaluar la calidad de los suelos en cultivares de caña de azúcar (Saccharum officinarum L.) en la parroquia Fátima provincia de Pastaza. Se recolectaron muestras de seis unidades productivas agrícolas seleccionadas al azar, a 25 – 30 cm de profundidad. Los parámetros evaluados fueron %W, Ca2+, Mg2+, Na+, pH, MO y CE. El análisis de salinidad se desarrolló por espectrofotometría de absorción atómica. Los resultados de pH (3.84 a 4.72) de los suelos de la zona revelo que son fuertemente ácidos; con CE (0.36 a 2.02 mS/cm) denotando salinidad baja Ca2+ (0.122 a 0.210 meq/100ml), Mg2+ (0.022 a 0.046 meq/100ml) y Na+ (0.031 a 0.049 meq/100ml) siendo el sodio el responsable del aumento de la CE en los suelos, el contenido MO (12.1 – 12.7%); nutrientes P (5.80 a 14.00 ppm), K (0.12 a 0.36 meq/100ml), Ca (1.90 a 5.00 meq/100ml), Mg (0.60 a 1.30 meq/100ml) y el contenido de humedad (%W) (128.04 a 238.22%) que son características medio ambientales de la Amazonía Ecuatoriana. El deterioro progresivo de los suelos en la parroquia de Fátima obedece a la mala práctica agrícola y tecnologías agrícolas deficientes.

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Sustainability assessment of sugarcane production systems: SustenAgro Decision Support System

Cited by 12 publications

References 10 publications

Sustainable sugarcane supply chain performance assessment: A review and research agenda

Sustainable sugarcane supply chain performance assessment: A review and research agenda

A Systematic Literature Review of Multi-Criteria Analysis Model Methods on Sustainability Weighting for Ethanol Plant

Evaluación de la calidad de los suelos en cultivares de caña de azúcar (Saccharum officinarum L.) en la parroquia Fátima provincia de Pastaza

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