A Literature Review of Mathematical Programming Applications in the Fresh Agri-Food Supply Chain

Fuchigami, Helio Yochihiro; Severino, Maico Roris; Yamanaka, Lie; Oliveira, Meire Ramalho de

doi:10.1007/978-3-030-14973-4_4

Cited by 6 publications

(3 citation statements)

References 31 publications

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“…Agricultural supply chains (ASCs) are nowadays under increasing pressure and the management of agri‐food supply chains (AFSCs) has become much more challenging due to several reasons, including declining land sizes and growing demand, as well as due to the fact the world's population is expected to increase to more than 9 billion by 2050 (Sharma et al, 2018). The AFCS is a multilevel supply chain (SC) network consisting of primary production, production of semi‐product by plants, production of finished products and distribution centers with multiple products like cereal, grains, fruits, and other vegetables (Fuchigami et al, 2019). The role of the ASC is to deliver agricultural products from farms to the consumer (Esteso et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Sustainable agriculture supply chain network design considering water‐energy‐food nexus using queuing system: A hybrid robust possibilistic programming

Baghizadeh

Cheikhrouhou

Govindan

et al. 2021

Natural Resource Modeling

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Due to the nature of the agricultural and food industry, the management of production, storage, transportation, waste disposal and environmental effects of their production, are of great importance. To deal with the sustainability issues linked to their supply chains, we propose in this study a mathematical model to design a sustainable supply chain of highly perishable agricultural product (strawberry). The model is a multiperiod, multiproduct multiobjective MINLP mathematical program that takes into consideration economic, social and environmental objectives to cover all aspects of sustainability. In addition, a G/M/S/M queuing system is developed for the transportation of harvested products between facilities for the first time. Since real‐world problems related to industries such as food and agriculture are inherently uncertain, in this model, the important parameters of the problem are considered uncertain using fuzzy sets theory and a hybrid robust possibilistic programming model is developed. In addition, the Epsilon constraint approach converts the multiobjective mathematical model into a single‐objective one and the Lagrangian relaxation method is used to effectively solve the model on a large scale. A case study in Iran is provided to investigate the results and discuss the solutions. Finally, a sensitivity analysis is performed to identify the impacts of important parameters on the solution. According to the analysis, equipping greenhouses with drip irrigation system and using solar panels in greenhouses, respectively, have the greatest impact on improving all target functions. Recommendations for Resource Managers Multiobjective optimization shows trade‐offs among conflicting objective function and assists decision‐making to enhance sustainable agriculture industry. Focus on transportation system in fresh product will lead to less waste. The use of solar panels and drip irrigation helps to minimize water and energy consumption and CO2 emission.

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Section: Introductionmentioning

confidence: 99%

Sustainable agriculture supply chain network design considering water‐energy‐food nexus using queuing system: A hybrid robust possibilistic programming

Baghizadeh

Cheikhrouhou

Govindan

et al. 2021

Natural Resource Modeling

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“…Against this background, this paper focuses on the research of community group-buying e-commerce, primarily in the domain of short-cycle products, implementing group buying to communities, and systematically studying the service capabilities of distribution centers. Helio et al [1] proposed a mixed-integer programming (MIP) for agricultural supply chain fresh food delivery. Wang and Yang [2] researched fresh food delivery routes, fresh product distribution, and methods for allocating resources.…”

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confidence: 99%

Modeling and Simulation of Community Group Buying Warehousing and Distribution Center Based on Flexsim

Chen,

Xu,

Luo

et al. 2024

FBEM

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With the continuous increase in the demand for small quantities, diverse varieties, and high-efficiency goods distribution, there is a growing customer need for short-cycle products. In this context, leveraging Flexsim software platform, this paper models the warehousing and distribution center for community group-buying goods. The modeling encompasses key operational aspects such as product supply, storage, picking and grouping, as well as loading and unloading, and distribution. Through simulation, the results are analyzed and optimized, yielding the optimal layout scheme for the community group-buying warehousing and distribution center model.

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“…Several papers have surveyed different models, like (GLEN, 1987) in farm planning, (WEINTRAUB; ROMERO, 2006) in agriculture and forestry, (AHUMADA; VILLALOBOS, 2009) in the agrifood supply chain, (SOTO-SILVA et al, 2016) in the fresh fruit supply chain, (FUCHIGAMI et al, 2018) in the fresh agri-food supply chain, and (TA ŞKINER; BILGEN, 2021) in harvest and production planning. In the last decades, due to the complexity of the multi-echelon agriculture supply chains (BARBOSA, 2021;LEZOCHE et al, 2020), various papers include components of risk and uncertainty existing in their typical stages: primary production (of raw products by farmers), production of semi-product by plants, and finished products and distribution (FUCHIGAMI et al, 2018;ZHAO et al, 2020). Uncertainty management in agriculture has been highlighted intensively in the last decade, (BORODIN et al, 2016) and (BEHZADI et al, 2018) provide excellent reviews, including most of the papers which handle the components of risk and uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective models for optimizing olive crop management for olive oil production

Santos

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Sou profundamente grato ao meu orientador de tese, Dr. Marcelo Seido Nagano, por sua valiosa orientação, conselhos e correções durante todo o processo. Sua experiência e rigor científico foram fundamentais para o desenvolvimento desta tese. Também gostaria de agradecer ao Professor Dr. Carlos Monardes Concha, que desde o início de meus estudos superiores vem me acompanhando e orientando meus conhecimentos. A Francisco Pérez Galarce, por seu apoio durante toda a pesquisa, suas sugestões e o tempo dedicado ao desenvolvimento deste trabalho. Ao Dr. Alfredo Candía Vejar, que me mostrou que, com paciência e dedicação, as metas são alcançáveis. À professora María Alejandra Peralta Müller, sem ela esta história não teria começado. Também gostaria de agradecer a Jorge Astudillo Gálvez, que me deu a oportunidade de obter os dados necessários para esta pesquisa e contribuiu com sua longa experiência no cultivo de oliva. A Luis Gallardo, que orientou os aspectos mais essenciais de minha vida com base na visão em Deus.À minha família por seu amor incondicional, paciência e compreensão. Aos meus queridos pais, que sempre me incentivaram a seguir meus sonhos e me deram tudo o que eu precisava para minha educação. À minha avó, que sempre confiou em mim.Por fim, quero agradecer à Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES -001). RESUMOMONTENEGRO DOS SANTOS, F. A. Modelos multiobjetivos para otimização do gerenciamento da cultura de azeitona visando a produção de azeite de oliva. 2023. 70 p. Dissertação (Mestrado Processos e Gestão

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A Literature Review of Mathematical Programming Applications in the Fresh Agri-Food Supply Chain

Cited by 6 publications

References 31 publications

Sustainable agriculture supply chain network design considering water‐energy‐food nexus using queuing system: A hybrid robust possibilistic programming

Sustainable agriculture supply chain network design considering water‐energy‐food nexus using queuing system: A hybrid robust possibilistic programming

Modeling and Simulation of Community Group Buying Warehousing and Distribution Center Based on Flexsim

Multi-objective models for optimizing olive crop management for olive oil production

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