Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain

Chávez, Marcela María Morales; Sarache, William; Costa, Yasel; Soto, José D.

doi:10.1016/j.jclepro.2020.123305

Cited by 24 publications

(10 citation statements)

References 39 publications

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“…(2019) present a mathematical model addressing decisions regarding the selection of the plots whose crop residue (left after harvesting) will be transported for energy production in each period, and Morales Chavez et al. (2020) present a multi‐objective model that considers the balance between economic, environmental and social goals when making decisions related to harvest, maintenance, and transportation. Additionally, the authors take into account sugarcane yield uncertainty.…”

Section: Analysis and Discussion Of The Selected Papersmentioning

confidence: 99%

A review of mathematical optimization models applied to the sugarcane supply chain

Teixeira¹,

Rangel²,

Florentino³

et al. 2021

Int Trans Operational Res

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Sugarcane is a product of great economic relevance and, as well as its use for the production of different types of sugar, it is also a renewable source for the production of bio‐fuels, other bio‐products, and electricity. In this context, efficient planning and technology changes are necessary to ensure high productivity, competitiveness and harmony with economic, social, and environmental issues. Consequently, this sector needs technical and scientific support. Mathematical optimization models can be useful to build efficient planning tools for the activities involved in the sugarcane supply chain, helping to address these challenges. This paper describes the sugarcane supply chain and presents a literature review of mathematical optimization models that have been proposed to represent its main stages: planting, harvesting, transporting, industrial processing, and marketing. The findings show that several models have been proposed to represent these five stages, however, most of them have not been thoroughly explored from the point of view of strength of the models and solution methods. Moreover, the harvesting stage is the one that has received more attention than the other stages. In the integration of two or more stages, there are many challenges yet to be addressed by mathematical optimization models. This review contributes to a better understanding of the sugar‐energy sector and opens up new perspectives for future investigations.

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Section: Analysis and Discussion Of The Selected Papersmentioning

confidence: 99%

A review of mathematical optimization models applied to the sugarcane supply chain

Teixeira¹,

Rangel²,

Florentino³

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Este indicador tiene tres intencionalidades; la primera, sujeta a inversiones de las cuales se deriva la creación de múltiples empleos temporales; la segunda, busca la generación puestos de trabajo directo respecto a la operación recurrente de la SC; y la tercera, corresponde al trabajo indirecto, generado por actividades de soporte de las operaciones (Fattahi & Govindan, 2018). También se han investigado aspectos de seguridad alimentaria en conjunto con la generación de empleo (Santibañez-Aguilar et al, 2014;Fathollahi-Fard et al, 2018;Morales Chavez et al, 2020).…”

Section: Perspectiva Socialunclassified

“…);Mota et al (2015);Fathollahi-Fard et al (2018);Morales Chavez et al (2020), el indicador social (creación de puestos de trabajo) se ha comportado de forma conflictiva respecto al indicador económico.…”

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Biofuels technologies: An overview of feedstocks, processes, and technologies

Ziolkowska

2020

Biofuels for a More Sustainable Future

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“…CATE seeks to reduce production costs through technological standards and logistics improvements for harvesting, loading and transporting cane to the factory [18]. Although CENICAÑA has done signi cant work around cane productivity, the literature review shows a lack of local models for integrating operational, economic, and environmental indicators for sugarcane harvesting, loading, and transportation [19]. Thus, the goal and main contribution of this paper is the holistic analysis of Colombian sugarcane harvesting, transport, and loading/unloading systems following a cycle analysis approach.…”

Section: Introductionmentioning

confidence: 99%

Operational cycle analysis of Colombian sugarcane harvest, transport and unloading systems

Salazar,

Lozano-Moreno,

Clavijo-Buritica

2023

Preprint

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This paper addressed the cycle analysis of the Colombian sugarcane harvest, transport, and unloading system, providing evidence to highlight the synchronization of the machinery as the main bottleneck. The paper's uniqueness to previously published results lies in the holistic approach adopted, integrating operational, economic, and environmental performance indicators. The solution approach considered a set of mathematical formulations and logical rules that feed three perspectives of analysis (operational, economic, and environmental). Consequently, the computational models for each perspective are called ‘modules’ and generate the performance measures. The preliminary analytical results showed low utilization rates for all system resources and a significant difference between the sugarcane harvested and the volume transported to the mill. A sensitivity analysis was conducted using different scenarios to study the impact of machinery synchronization on the system performance. In summary, the main results show that the maximum use of the harvester will be achieved by two tractors in the cycle. Consequently, the operational cost and energy consumption will increase. Besides, the number of wagons per truck will positively influence the system's performance. Although larger truck fleets will improve the system capacity, a deeper financial analysis becomes necessary due to the intense capital investment.

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Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain

Cited by 24 publications

References 39 publications

A review of mathematical optimization models applied to the sugarcane supply chain

A review of mathematical optimization models applied to the sugarcane supply chain

Biofuels technologies: An overview of feedstocks, processes, and technologies

Operational cycle analysis of Colombian sugarcane harvest, transport and unloading systems

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