Integrated planning model for citrus agribusiness system using systems dynamics

Ferreira, José Orlando; Batalha, Mário Otávio; Domingos, Jean Carlos

doi:10.1016/j.compag.2016.04.029

Cited by 17 publications

(7 citation statements)

References 14 publications

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“…As a recent classification approach, Supporting Vector Machines (SVMs) [8] addresses this problem in machine learning techniques. They implement adjustable flexibility identifications optimized on the training samples on an excellent performance automatically and in principle way [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Designing User-Centered IoT Middleware Solutions for Small and Mid-Scale Farmers for Precision Agriculture using Cloud Computing

2020

IJATCSE

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Agriculturists need an improved knowledge of farm characteristics and crop development to overcome the variability that is one of the main problems for agricultural productivity. The recent growth in the Internet of Things provides a world in which real objects with limited capacity can capture data from the sensors and share the information with the Internet, thereby creating a global network of sensed data. Existing solutions rely on tremendous investment in infrastructure equipment and field-design changes, making them unworkable for less mechanized farms. Modern agriculture relies on farming models that assist in predicting returns and costs that include data on worker behavior as well. The program proposes to control irrigation in agriculture through an integrated Agri-IoT-Based Smart Irrigation System (IBSIS). Based upon both soil tests and climatic changes collected by various independent threads in the field, our system analyzed the weekly irrigation requirements for a farm. Our approach is to use a conventional Smartphone integrated with sensors are used to monitor the position and motion of workers to enable the inference of activity.

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Section: Literature Reviewmentioning

confidence: 99%

Designing User-Centered IoT Middleware Solutions for Small and Mid-Scale Farmers for Precision Agriculture using Cloud Computing

2020

IJATCSE

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“…Integrated planning can significantly improve the competitiveness of the whole chain and benefit all its agents no matter what is produced; therefore, integration studies of individual industries are often carried out. Integrated production planning mechanisms can improve the coordination of agro-industrial production systems [9][10]. Foreign researchers analyze the alternative forms of agriculture, paying particular attention to the role of vertically integrated agribusiness [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Agroindustrial Intergation as Way to Improve Efficiency of Regional Agroindustrial Complex Management

Zhura¹,

Smirnova²

2017

Proceedings of the International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017

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-The article studies the issues of regional agroindustrial integration in the context of a single network structure formation, which brings together the sectors of supply, production and sales, industrial, trade, marketing, research, consulting and other organizations directly involved in the process of production of competitive agricultural product, and bringing it to the consumer. This research is considered as a new additional way to improve the efficiency of management of the agroindustrial complex of the region and to ensure its competitiveness and sustainable development.

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“…A simulação computacional está presente na otimização de sistemas de produção de várias áreas por ser uma ferramenta importante que permite confrontar a teoria, baseada em conceitos e modelos matemáticos com a parte experimental. É um processo de experimentação que utiliza um modelo suficientemente detalhado de um sistema para determinar como este responderá às mudanças em sua estrutura, ambiente ou condições de contorno (Ferreira, Batalha, & Domingos, 2016).…”

Section: Introductionunclassified

“…O System Dynamics é uma metodologia utilizada para nos ajudar a entender como evolui no tempo o comportamento de um sistema complexo, que pode ser definido como um conjunto de elementos que interagem continuamente ao longo do tempo, formando uma estrutura unificada, através de feedback de informação (Adane & Nicolescu, 2014;Fetene Adane, Bianchi, Archenti, & Nicolescu, 2019;Oyarbide, Baines, Kay, & Ladbrook, 2003). A análise baseada em dinâmica de sistemas pode ser muito útil no planejamento da produção de sistemas agroalimentares (Ferreira et al, 2016) Desta forma, caracterizado como um sistema dinâmico, o presente trabalho foi Research, Society and Development, v. 9, n. 7, e950974729, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i7.4729 conduzido com o objetivo de implementar um modelo computacional para simular as etapas que integram o fluxograma operacional de uma indústria de água mineral, através do software Stella 8.0. Por meio da análise de sensibilidade do sistema modelado, objetivou-se verificar a influência da alteração da variável de entrada (quantidade de garrafões a serem envasados) sobre a variável de saída (tempo de processamento), podendo deste modo, identificar falhas na produção e propor melhorias.…”

Section: Introductionunclassified

Simulação do processo de produção de uma indústria de água mineral pelo método system dynamics

Silva

Geraldine

Santana

et al. 2020

RSD

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This research was conducted with the objective of implementing a computer model to simulate the steps that comprise the operational flowchart of a mineral water industry, using the software Stella 8.0. The model defined as dynamic, stochastic and discrete consisted of eleven interconnected blocks. It was built following the steps of characterizing the real system, creating the conceptual model, structuring and verification of computational model, data collection, and model validation. From data collected in the real system we obtained fits of the distributions used in assembling and verifying the model. Validation of the program was conducted by comparing the data of the real system with simulated data. The values collected in the real system were within the upper and lower limits on the graph obtained by regression analysis, with a confidence level of 95%, ensuring that the computer model adequately represents the real system. However, the computational model developed is appliable to simulate the dynamics of processing lines of Mineral Water, being a tool of production control, which allows the visualization of the behavior of the real system, facilitates the identification of errors, improve production flow, and reduces manufacturing costs by controlling the total processing time.

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Integrated planning model for citrus agribusiness system using systems dynamics

Cited by 17 publications

References 14 publications

Designing User-Centered IoT Middleware Solutions for Small and Mid-Scale Farmers for Precision Agriculture using Cloud Computing

Designing User-Centered IoT Middleware Solutions for Small and Mid-Scale Farmers for Precision Agriculture using Cloud Computing

Agroindustrial Intergation as Way to Improve Efficiency of Regional Agroindustrial Complex Management

Simulação do processo de produção de uma indústria de água mineral pelo método system dynamics

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