Addressing a robust decision in the sugarcane supply chain: Introduction of a new agricultural investment project in Colombia

Carvajal, Jimmy; Sarache, William; Costa, Yasel

doi:10.1016/j.compag.2018.12.030

Cited by 42 publications

(19 citation statements)

References 51 publications

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“…For optimal percentage of chopped cane delivery, the mechanized harvesting requires specialized labor, as rain is an important factor (Carvajal et al 2019 ), which determines the harvesting process. The cutting height of the blades can prevent the loss of 1.9 and 12.5 tons per hectare of cane in the soil (Pongpat et al 2017 ).…”

Section: Discussionmentioning

confidence: 99%

“…(5), which verifies that the independent variables influence the dependent variable. Kaffash et al (2019) analyzed 132 studies that used the DEA to evaluate efficiency between 1993 and 2018, and the (5) Represents the total area, measured in hectares, used to plant sugarcane for a DMU in a harvest (Nothard et al 2019;Carvajal et al 2019;Marin et al 2019) Output 1-y 1 (Desirable)…”

Section: Quantitative Stagementioning

confidence: 99%

“…Due to the importance of increasing productivity, the number of studies using mathematical models to measure efficiency is increasing with the objective of maximizing agricultural production (Carvajal et al 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

Carlucci

Lemos

Salgado

et al. 2021

Clean Techn Environ Policy

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Graphic abstract This study aims to identify explanatory factors to increase the agricultural performance of Brazilian and Australian sugarcane mills. The relevance of Brazil and Australia for the sugar industry motivated the development this study based on the most important factors in both countries responsible for increasing the efficiency in sugarcane production. Thus, this study is designed to assess the hypothesis that there are a few explanatory variables that are deeply responsible for the agricultural efficiency in the sugar-energy sector. As a specific objective, it proposes a DEA (Data Envelopment Analysis) model that seeks to optimize the production of Total Recoverable Sugar (TRS) by planted area, and simultaneously, minimizes mineral and vegetable impurities. The sample consists of 82 observations from 32 sugarcane mills. An agricultural efficiency study was performed using the two-stage DEA, in which the evaluated mills according to the level of efficiency in the proposed model. Then, a Multiple Linear Regression Analysis was performed to identify the variables with the greatest influence on the performance of the mills in terms of efficiency. The results revealed six relevant variables for increasing the agricultural performance in the production of sugarcane: rainfall (mm weekly), chopped cane delivery (%), delivery time (h), borer (%), air humidity (%), and rods in raw wine (× 10 5 /mL). Finally, semi-structured interviews with Brazilian and Australian experts in the sugar-energy sector allowed the identification of five other relevant complementary factors that were unavailable in the database: genetic variety, agricultural cultivation activities, edaphoclimatic factors, renewal of sugarcane fields and irrigation system. The results of this study were grouped into the dimensions of environment, yield, and impurities, providing quantification and better understanding of the identified explanatory factors and the agricultural performance in terms of production efficiency, offering fundamental information that enables managers to make decisions and prioritize the aspects that contribute more significantly to the increase in agricultural productivity of the planted area.

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Section: Discussionmentioning

confidence: 99%

Section: Quantitative Stagementioning

confidence: 99%

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Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

Carlucci

Lemos

Salgado

et al. 2021

Clean Techn Environ Policy

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“…Other papers in which information regarding decision optimization models associated with the sugarcane supply chain can be found include reference [26], which proposed a stochastic optimization model for sugarcane supply chain planning integrating sowing, growing, and harvesting operations. Reference [27] presented a model to improve the integration between harvest decisions and transportation decisions in sugar industry supply chain in Australia.…”

Section: Literature Review-bioenergy Supply Chain Optimizationmentioning

confidence: 99%

Supply Chain Optimization for Energy Cogeneration Using Sugarcane Crop Residues (SCR)

Manyoma-Velásquez¹,

Manotas-Duque²

2019

Sustainability

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Access to clean and non-polluting energy has been defined as a Sustainable Development Goal (SDG). In this context, countries such as Colombia have promoted policies and incentives for the implementation of energy projects with non-conventional sources of energy. One of the main energy alternatives available is related to the use of residual biomass left by agribusiness supply chains, such as sugarcane. In Colombia, sugar cane is grown and harvested all year round, due to the local tropical climate. The model we propose addresses the question of the selection of the plots whose crop residue will be transported for energy production on a given day. We built a Mixed-Integer Programming model to decide which plots to harvest on a given day. Although no additional energy is generated in the model, the results show that it is feasible to replace all coal used in the boilers with sugarcane crop residues (SCRs) for power cogeneration. Sustainability 2019, 11, 6565 2 of 15The use of agricultural crop residues in electrical co-generation processes has been widely discussed in the literature. Some authors, such as those of reference [3], systematically describe energy needs and targets, biofuel feedstocks, conversion processes, and provide a comprehensive review of biomass supply chain (BSC) design and modeling. In reference [4], the authors describe the key challenges and opportunities in the modeling and optimization of biomass-to-bioenergy supply chains. The optimization process of a biomass supply chain is essential to overcome barriers and uncertainties that may inhibit the development of a sustainable and competitive bioenergy market. In reference [5], the authors give an overview of the optimization techniques and models, focusing on decisions regarding the design and management of the upstream segment of the biomass-for-bioenergy supply chain. Another research approach is related to the integration of different optimization objectives in biomass supply chain models. There is a recent tendency to integrate economic, environmental, and social aspects in the evaluation and optimization of biomass supply chains. Some authors (for example, those of reference [6]) have reviewed the studies that assessed or optimized economic, social, and environmental aspects of forest biomass supply chains for the production of bioenergy and bio-products.The structure of this paper is as follows: In Section 1.2, we present a literature review of bioenergy supply chain optimization decisions. In Section 2, the optimization model is explained, taking into account the parameters, variables, objective functions, and constraints. Sections 3 and 4 present the results and discussion. Section 5 presents conclusions and future research options. The Julia code of the model is included as an appendix.

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“…As is displayed in this Figure 2, metaheuristics approach covers 41%, exact method covers about 40%, and simulation aid about 19% of these researches [36][37][38][39][40][41][42]. Also, most of these research (75%) consider case study to accumulate data for their model parameters [43][44][45][46]. Besides, Table 2 shows that all of these researches considered forward flows, while only two researches considered reverse flows or closed-loop network.…”

Section: Introductionmentioning

confidence: 99%

A Review of Optimization Researches in the Field of Agricultural Supply Chain

Cheraghalipour¹,

Roghanian

2020

MCDA

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The position of the agricultural sector as a driving force for economic growth and development in the urban and rural structure is one of the issues that has always been the subject of expert opinion. A considerable amount of perishable products especially in the food and agriculture is corrupted annually due to the lack of an effective mechanism in the supply chain. This forces researchers to plan and design mathematical models to improve this situation. One of the most important tools in this field is supply chain network design, which the researchers are trying to improve in the current human society by extending this tool for the agriculture sector. For this purpose, in this research, we will briefly review some of the work done. Finally, research gaps are provided for future research.

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Addressing a robust decision in the sugarcane supply chain: Introduction of a new agricultural investment project in Colombia

Cited by 42 publications

References 51 publications

Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

Environmental, field and impurity factors to increase the agricultural performance of Brazilian and Australian sugarcane mills

Supply Chain Optimization for Energy Cogeneration Using Sugarcane Crop Residues (SCR)

A Review of Optimization Researches in the Field of Agricultural Supply Chain

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