Exact and heuristic methods to solve a bi-objective problem of sustainable cultivation

Filho, Angelo Aliano; Florentino, Helenice de Oliveira; Pato, Margarida Vaz; Poltroniere, Sônia Cristina; Costa, João Fernando da Silva

doi:10.1007/s10479-019-03468-9

Cited by 13 publications

(2 citation statements)

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“…In the domain of evolutionary and swarm intelligence algorithms, many researchers developed the various variant of existing algorithms to solve the complicated real-life problems. Metaheuristics are receiving more attention to solve complex agricultural supply chain problems (Aliano Filho et al 2019, Florentino et al 2020, Chan et al 2020. Recently, several new variants of PSO algorithm were employed to deal with the SCND problem (Maiyar and Thakkar 2018;Soleimani and Kannan 2015;Yamada and Febri 2015).…”

Section: Solution Methodsmentioning

confidence: 99%

Green food supply chain design considering risk and post-harvest losses: a case study

2020

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The global food insecurity, malnourishment and rising world hunger are the major hindrances in accomplishing the zero hunger sustainable development goal by 2030. Due to the continuous increment of wheat production in the past few decades, India received the second rank in the global wheat production after China. However, storage capacity has not been expanded with similar extent. The administrative bodies in India are constructing several capacitated silos in major geographically widespread producing and consuming states to curtail this gap. This paper presents a multi-period single objective mathematical model to support their decisionmaking process. The model minimizes the silo establishment, transportation, food grain loss, inventory holding, carbon emission, and risk penalty costs. The proposed model is solved using the variant of the particle swarm optimization combined with global, local and near neighbor social structures (GLNPSO) along with traditional PSO. The solutions obtained through two metaheuristic algorithms are compared with the optimal solutions. The impact of supply, demand and capacity of silos on the model solution is investigated through sensitivity analysis. Finally, some actionable theoretical and managerial implications are discussed after analysing the obtained results.

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Section: Solution Methodsmentioning

confidence: 99%

Green food supply chain design considering risk and post-harvest losses: a case study

2020

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“…Planting activities focus on scheduling of tilling of lands, plowing, and planting of seeds and saplings. (See, e.g., Wijngaard, 1988; Aliano Filho et al., 2019).…”

Section: Operational Efficiency In Farmingmentioning

confidence: 99%

Opportunities in farming research from an operations management perspective

Gupta

Berenji

Shukla

et al. 2023

Production and Operations Management

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We review and analyze the farming (upstream agribusiness supply chain) research literature since 1965 to identify farming research opportunities for operations management (OM) researchers. A majority of reviewed papers in our corpus, until the turn of the 21st century, primarily focus on improving operational efficiency and effectiveness of farming using optimization techniques. However, during the last two decades, farmers’ welfare and the interests of other stakeholders have drawn OM researchers’ attention. This expanded focus on farming research has become possible due to the proliferation of mobile communication devices and the Internet as well as advancements in information technology platforms and social media. Our review also shows that there is a paucity of OM literature that leverages increased data availability from the emergence of precision agriculture and blockchain to address major challenges for the farming sector emanating from climate change, natural disasters, food security, and sustainable and equitable agriculture, among others. Big data, in conjunction with opportunities for field‐based experimentation, artificial intelligence and machine learning, and integration of predictive and prescriptive analytics, can be leveraged by OM scholars engaged in farming research. We zero in on specific questions, issues, and opportunities for research in farming.

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The $$\varepsilon -$$Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation

Filho¹,

Silva²

2021

Springer Proceedings in Mathematics &Amp; Statistics

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Exact and heuristic methods to solve a bi-objective problem of sustainable cultivation

Cited by 13 publications

References 20 publications

Green food supply chain design considering risk and post-harvest losses: a case study

Green food supply chain design considering risk and post-harvest losses: a case study

Opportunities in farming research from an operations management perspective

The $$\varepsilon -$$Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation

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