Simulation model for the sequential in-field machinery operations in a potato production system

Zhou, Kun; Jensen, Allan Leck; Bochtis, Dionysis; Sørensen, Claus G.

doi:10.1016/j.compag.2015.06.018

Cited by 28 publications

(17 citation statements)

References 23 publications

(23 reference statements)

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“…Other problems in agricultural production systems have been addressed, such as rock removal operations, planting, irrigation, improvement of harvesting sugar cane, and the improvement of agricultural planning . The quality of products is another research area that has allowed for the study of the quality of the product harvested in relation to delivery dates and product deterioration, evaluating the costs associated with the operations in the fields .…”

Section: Resultsmentioning

confidence: 99%

“…Rural areas have also been the subject of studies estimating social benefits, food security, ecological balance, and job stability . Other studies have also been conducted of operations planning in crops with geological deformation and operations and tactical planning models in horticulture and viticulture …”

Section: Resultsmentioning

confidence: 99%

“…80 Rural areas have also been the subject of studies estimating social benefits, food security, ecological balance, and job stability. 81 Other studies have also been conducted of operations planning in crops with geological deformation 61 and operations and tactical planning models in horticulture and viticulture. 82 Recently, new approaches to production control have been proposed, such as, for example, several studies that have optimized the harvest quantities and yields using scheduling operations 83,84 and increasing production volumes through cooperative work in the case of vegetables.…”

Section: Problems Addressed In Agriculture Planning Based In Operatiomentioning

confidence: 99%

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Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

2019

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Operative planning in agricultural production has historically had the objective of improving yields and quality. Sowing, cropping, and harvesting are usually treated independently, and waste and the sustainability of operations are generally not integrated into operational planning methodologies for agricultural production. This study shows the need to have a clear and precise methodology to minimize waste in agricultural production systems to ensure sustainability. This need is addressed with a novel methodological guide to minimizing waste in agricultural operations, crop maintenance, and harvesting. The proposed methodology is founded on the use of lean manufacturing as a waste‐management tool. Lean manufacturing principles allow agricultural operations and the variables that represent wastes to be identified, mathematical models to be built, constraints to be defined, and the cost of waste to be illustrated, as well as its minimization through an objective function. To guide implementation, we propose a conceptual model to explain the construction of a mathematical model that represents the development of decision variables on agricultural operations with the elements to consider and the constraints and theoretical proposal of the necessary objective function. The proposed conceptual model and the constructed methodology constitute a novel development within agricultural production systems that could be used by decision makers and farmers. © 2019 Society of Chemical Industry

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Problems Addressed In Agriculture Planning Based In Operatiomentioning

confidence: 99%

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Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

2019

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“…In addition, the capacity of the machinery and the locations of the service unit (SU) also have effect on the FE. Bochtis et al (2010) and Zhou et al (2015) have evaluated different user configurations in terms of machinery capacity and locations of the SU on the effect of the FE by using simulation models. The research results show that appropriate selections of machinery capacity and SU's locations can substantially increase the FE from 35.5% to 69.1%.…”

Section: Discussionmentioning

confidence: 99%

Performance of machinery in potato production in one growing season

Zhou

Jensen

Bochtis

et al. 2015

Span. j. agric. res.

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Statistics on the machinery performance are essential for farm managers to make better decisions. In this paper, the performance of all machineries in five sequential operations, namely bed forming, stone separation, planting, spraying and harvesting in the potato production system, were investigated during one growing season. In order to analyse and decompose the recorded GPS data into various time and distance elements for estimation of the machinery performance, an automatic GPS analysis tool was developed. The field efficiency and field capacity were estimated for each operation. Specifically, the measured average field efficiency was 71.3% for bed forming, 68.5% for stone separation, 40.3% for planting, 69.7% for spraying, and 67.4% for harvesting. The measured average field capacities were 1.46 ha/h, 0.53 ha/h, 0.47 ha/h, 10.21 ha/h, 0.51 ha/h, for the bed forming, stone separation, planting, spraying, and harvesting operations, respectively. These results deviate from the corresponding estimations calculated based on norm data from the American Society of Agricultural and Biological Engineers (ASABE). The deviations indicate that norms provided by ASABE cannot be used directly for the prediction of performance of the machinery used in this work. Moreover, the measured data of bed forming and stone separation could be used as supplementary data for the ASABE which does not provide performance norms for these two operations. The gained results can help farm managers to make better management and operational decisions that result in potential improvement in productivity and profitability as well as in potential environmental benefits.Additional key words: GPS data analysis; operation management; machinery management; field efficiency; field capacity; Solanum tuberosum L.

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“…Los problemas que se discuten en este documento incluyen el problema de enrutamiento de las cosechadoras, el problema de fusión de campos y el problema de la integración de la fuerza de trabajo y la cosechadora en las operaciones. Zhou et al (2015) Desarrollar un enfoque para predecir y optimizar el rendimiento general de todas las operaciones, dado un campo seleccionado y las máquinas requeridas. Desarrollar una herramienta de planificación de la gestión para la toma de decisiones sobre decisiones operativas (por ejemplo, la dirección de conducción, la posición de recarga) y el dimensionamiento de la maquinaria (por ejemplo, el tamaño del tanque / tolva).…”

Section: Pathumnakul Y Nakrachata-amonunclassified

Programación o planeación de actividades o recursos en la agricultura. Una revisión de literatura

Valencia

Aguirre

Herrera

2018

reveia

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Con el propósito de detectar las herramientas y enfoques desarrollados en la programación de recursos o la planeación de actividades en la agricultura, el presente documento muestra la revisión sistemática de literatura adelantada para tal fin, así mismo, expone los resultados y discusión de ellos. Se pretende realizar un diagnóstico del desarrollo de este sector y como está siendo impactado por diferentes herramientas de optimización, que en su mayoría han sido aplicadas en la industria. El documento muestra una introducción general, las ecuaciones de búsqueda utilizadas, las bases de datos en las que fueron aplicadas las ecuaciones de búsqueda, los resultados de la revisión sistemática de literatura y la discusión de los resultados obtenidos.

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Simulation model for the sequential in-field machinery operations in a potato production system

Cited by 28 publications

References 23 publications

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition

Performance of machinery in potato production in one growing season

Programación o planeación de actividades o recursos en la agricultura. Una revisión de literatura

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