An ANP (Analytic Network Process)-based Multi-Criteria Decision Approach for The Selection of Sugar-Cane Industry Development

Gani, Ferizandi Qauzar; Hantoro, Ridho

doi:10.12962/j23546026.y2018i1.3507

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…The last one is extremely important for industries. This study follows the methodology proposed by AZAPAGIC & PERDAN (2000) 2017) and GANI & HANTORO (2018). Rather than presenting a high number of indicators for the established criteria, a restricted number of structured criteria are selected so that relationships between impacts and outputs are clarified.…”

Section: Defining a Group Of Indicators For The Mexican Sugar Industrmentioning

confidence: 99%

Development of indicators for the sustainability of the sugar industry

García

Aguilar‐Rivera

Zepeda-Pirrón

et al. 2018

Environmental &Amp; Socio-Economic Studies

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Sustainable development has been highlighted widely in productive sectors such as the sugar industry with new paradigms and trends such restructuring of sugar mills in biorefineries and development of green chemical from byproducts, considering issues such as technology adoption towards sustainability, circular economy, climate change, value chain, sustainability assessment and decision making. Production of cane sugar is one of Mexico's main agro-industries; it conveys numerous positive socio-economic impacts and presents opportunities for productive diversification and enhanced profitability and competiveness. The sugar industry faces sustainability challenges due to the management of natural resources like soil, water, fossil fuels and agrochemicals, as well as the impacts of its greenhouse gas emissions and socio-economic constraints. However, sustainability of cane and sugar production cannot be assessed due to a lack of methodological frameworks for integrating economic and environmental indicators. We propose an index for Mexico's sugar agro-industry that facilitates the identification of those system components that impact sustainability. This index is based on a reduced number of indicators aggregated through a multi-criteria evaluation using the analytical hierarchy process (AHP). We apply this index to evaluate four sugar production systems in Mexico: producers of raw, refined, muscovado sugar and ethanol. Results show that systems with a high agro-industrial yield present better sustainability performance. This study is relevant because it provides quantitative information for decision makers towards a sustainable sugarcane agro-industry, based on the indicators used to build the sustainability index, to address actions as increase productive diversification by-products based, improve access to credit, irrigation, management practices and raw material quality reducing production costs, eliminate fossil fuel use in factories, make fertilizer application more efficient and reduce the area that is burned for manual harvest.

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Section: Defining a Group Of Indicators For The Mexican Sugar Industrmentioning

confidence: 99%

Development of indicators for the sustainability of the sugar industry

García

Aguilar‐Rivera

Zepeda-Pirrón

et al. 2018

Environmental &Amp; Socio-Economic Studies

View full text Add to dashboard Cite

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Feasibility of utilizing recycled drainage water in agriculture using an analytical network process (ANP) and geographic information system (GIS)

Zolfaghary,

ZakeriNia,

Kazemi

2024

Irrigation and Drainage

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Utilizing unconventional water for sustainable agriculture is a multi‐criteria process. Decision‐making in such problems is based on finding the value of various criteria using advanced methods, for example the analytic network process (ANP). ANP is usually preferred in cases where the criteria are not independent and have intra‐/intergroup relationships. Considering techno‐economic and environmental criteria, the ANP structure was used in this study to investigate the feasibility of utilizing Chapaghli drainage water in western Golestan Province, Iran, for cultivating tolerant and semi‐tolerant crops, including canola, barley, cotton and wheat, using GIS software. Irrigation water availability, techno‐economic distance and land suitability for cultivation were selected as techno‐economic criteria, while irrigation water quality, soil, plant sensitivity and aquifer vulnerability were selected as environmental criteria. The results show that canola is the best crop for cultivation with Chapaghli drainage water. This study provides a reliable decision‐making infrastructure related to the recycling of drainage water for various cultivars in an area where environmental hazards are minimized.

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An ANP (Analytic Network Process)-based Multi-Criteria Decision Approach for The Selection of Sugar-Cane Industry Development

Cited by 2 publications

References 11 publications

Development of indicators for the sustainability of the sugar industry

Development of indicators for the sustainability of the sugar industry

Feasibility of utilizing recycled drainage water in agriculture using an analytical network process (ANP) and geographic information system (GIS)

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