Integrated Autonomy A Modeling-Based Investigation of Agrifood Supply Chain Performance

Bryceson, Kim P.; Slaughter, Geoff

doi:10.1109/uksim.2009.42

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…In other studies, AI has been used in quality control processes, whether or not they are supported by artificial vision [29] or in processes of justification of food policy decisions, such as when the use of AI is analyzed as a collaborative tool between the different actors that supply the agri-food chain, using distributed computing processes [30].…”

Section: Key Sector Applications: Agriculture Pastmentioning

confidence: 99%

Artificial Intelligence: Framework of Driving Triggers to Past, Present and Future Applications and Influencers of Industry Sector Adoption

Fulton¹,

Fulton²,

Kaplan³

2022

Embedded Systems and Applications

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To gain a sense of the development of Artificial Intelligence (AI), this research analyzes what has been done in the past, presently in the last decade and what is predicted for the next several decades. The paper will highlight the biggest changes in AI and give examples of how these technologies are applied in several key industry sectors along with influencers that can affect adoption speed. Lastly, the research examines the driving triggers such as cost, speed, accuracy, diversity/inclusion and interdisciplinary research/collaboration that propel AI into an essential transformative technology.

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Section: Key Sector Applications: Agriculture Pastmentioning

confidence: 99%

Artificial Intelligence: Framework of Driving Triggers to Past, Present and Future Applications and Influencers of Industry Sector Adoption

Fulton¹,

Fulton²,

Kaplan³

2022

Embedded Systems and Applications

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“…Agricultural applications of expert systems and decision support systems have also benefited the simulation of processes and the management of supply operations [27][28]. In other studies, AI has been used in quality control processes, whether or not they are supported by artificial vision [29] or in processes of justification of food policy decisions, such as when the use of AI is analyzed as a collaborative tool between the different actors that supply the agri-food chain, using distributed computing processes [30].…”

Section: Pastmentioning

confidence: 99%

The Framework of Artificial Intelligence (FAI): Driving Triggers, State of the Art Over Time and Industry Adoption Influencers

Fulton¹,

Fulton²,

Kaplan³

2022

IJAIA

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The authors present a new Framework of Artificial Intelligence which analyzes the key elements of transformational AI in industry. The State of the Art of Artificial Intelligence is gleaned from an examination of what has been done in the past, presently in the last decade and what is predicted for future decades. The paper will highlight the biggest changes in AI, important influencers to adoption/diffusion and give examples of how these technologies have and will be applied in three key industrial sectors, including agriculture, education and healthcare. Next the research examines seven driving triggers of cost, speed, accuracy, diversity/inclusion, interdisciplinary research/collaboration and ethics/trustworthiness that are accelerating AI development and concludes with a discussion of what are the critical success factors for industry to be transformational in AI.

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“…Tabla IV. Artículos con tipo de mecanismo de integración y medidas de desempeño en CS Agroindustrial Integración externa en las cadenas de suministro agroindustriales: Una revisión al estado del arte [108] 2009 X X [109] 2009 X X X [110] 2007 X X X [111] 2006 X [112] 2006 X [113] 2004 X Tecnología de la información [33] 2013 X X X X X X X [114] 2009 X X X X X X X Intercambio de información -Tecnología de la información [115] Los mecanismos de integración externa han sido usados en su mayoría de manera aislada como se observa en la Figura 4, cada mecanismo de integración externa es representado con un círculo y las intersecciones muestran cuándo se usó más de un mecanismo de manera simultánea. El mecanismo usado con mayor frecuencia es el intercambio de información (58,1 %), seguido del uso de contratos (23,3 %), mientras que el uso de tecnologías de la información (16,3 %) y la toma decisiones conjunta (13,9 %) han sido poco utilizados.…”

Section: Impacto De La Integración Externa En El Desempeño De Cadenas Agroindustrialesunclassified

Integración Externa en las Cadenas de Suministro Agroindustriales: Una Revisión al Estado del Arte

Moreno

Otavo

Castro

2015

Ing.

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La Integración de la Cadena de Suministro (ICS) ha sido un tema ampliamente abordado debido a su importancia estratégica; no obstante, existen pocos estudios de integración en cadenas agroindustriales. El propósito de este artículo es hacer una revisión de la ICS, enfocándose en el impacto de mecanismos de integración externa sobre el desempeño de las cadenas agroindustriales. Los resultados muestran que los mecanismos de integración externa más utilizados han sido el intercambio de información y la toma de decisiones conjunta, mientras que las medidas de desempeño usadas con mayor frecuencia han sido los costos, la utilidad, el rendimiento de la inversión y los niveles de inventario. La revisión identifica la necesidad de evaluar el impacto de varios mecanismos de manera simultánea en el desempeño de la Cadena de Suministro (CS), enfatizando la importancia de hacer investigación en mecanismos de integración de toma de decisiones conjunta, como el inventario administrado por el vendedor (VMI) y la planeación colaborativa, pronóstico y reabastecimiento (CPFR). En cuanto a la medición del desempeño, se requiere la inclusión de al menos un indicador por categoría (eficiencia, flexibilidad, capacidad de respuesta y calidad de los alimentos) del marco de desempeño descrito para cadenas agroindustriales; mientras que para la medición de desempeño logístico de cadenas agroindustriales se requiere mayor investigación en los modos (procesos de gestión) y medios (recursos) logísticos.

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Integrated Autonomy A Modeling-Based Investigation of Agrifood Supply Chain Performance

Cited by 5 publications

References 28 publications

Artificial Intelligence: Framework of Driving Triggers to Past, Present and Future Applications and Influencers of Industry Sector Adoption

Artificial Intelligence: Framework of Driving Triggers to Past, Present and Future Applications and Influencers of Industry Sector Adoption

The Framework of Artificial Intelligence (FAI): Driving Triggers, State of the Art Over Time and Industry Adoption Influencers

Integración Externa en las Cadenas de Suministro Agroindustriales: Una Revisión al Estado del Arte

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