Revealing the hidden potentials of Internet of Things (IoT) - An integrated approach using agent-based modelling and system dynamics to assess sustainable supply chain performance

Ding, Suiting; Ward, Hauke; Cucurachi, Stefano; Tukker, Arnold

doi:10.1016/j.jclepro.2023.138558

Cited by 9 publications

(2 citation statements)

References 52 publications

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“…The deployed modeling process consists of both system dynamics (SD) and agent-based models (ABMs) [84]. ABM and SD methods are widely used throughout the literature in areas like supply chain sustainability, economics, environment, and other fields [85,86]. Their application aids the decision-making processes of businesses since these methods provide valuable information regarding the various factors of firms' internal and external environments.…”

Section: Hybrid Model and Ai Proceduresmentioning

confidence: 99%

Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling

Giannakopoulos,

Terzi,

Sakas

et al. 2024

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Agriculture firms face an array of struggles, most of which are financial; thus, the role of decision making is discerned as highly important. The agroeconomic indexes (AEIs) of Agriculture Employment Rate (AER), Chemical Product Price Index (CPPI), Farm Product Price Index (FPPI), and Machinery Equipment Price Index (MEPI) were selected as the basis of this study. This research aims to examine the connection between digital marketing analytics and the selected agroeconomic indexes while providing valuable insights into their decision-making process, with the utilization of AI (artificial intelligence) models. Thus, a dataset of website analytics was collected from five well-established agriculture firms, apart from the values of the referred indexes. By performing regression and correlation analyses, the index relationships with the agriculture firms’ digital marketing analytics were extracted and used for the deployment of the fuzzy cognitive mapping (FCM) and hybrid modeling (HM) processes, assisted by using artificial neural network (ANN) models. Through the above process, there is a strong connection between the agroeconomic indexes of AER, CPPI, FPPR, and MEPI and the metrics of branded traffic, social and search traffic sources, and paid and organic costs of agriculture firms. It is highlighted that agriculture firms, to better understand their sector’s employment rate and the volatility of farming, chemicals, and machine equipment prices for future investment strategies and better decision-making processes, should try to increase their investment in the preferred digital marketing analytics and AI applications.

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Section: Hybrid Model and Ai Proceduresmentioning

confidence: 99%

Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling

Giannakopoulos,

Terzi,

Sakas

et al. 2024

Information

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show abstract

“…Para esto, en el presente estudio se utilizaron dos tipos de diagramas: causales y de Forrester, que tienen su origen en la Teoría General de Sistemas [17] que al usarse en conjunto dan como resultado el poder analizar la causa de las variaciones existentes en el sistema, lo que puede permitir incrementar la satisfacción del cliente [18]- [20] . Por otra parte, es posible realizar análisis más complejos de las funciones necesarias a partir de la aplicación de algoritmos, modelos y técnicas que fortalecen y optimizan el transporte de productos, considerando el entorno del almacén, y uso de Tecnologías de Información y Comunicación (TIC) en los procesos de recepción y despacho [21] , así como la gestión óptima de los recursos y capacidades del almacén dependiendo de sus características y volumen de los productos a manipular [22] .…”

Section: Introductionunclassified

Dinámica de sistemas para la gestión de salidas de un almacén de certificación portuaria

Ramos Hernández,

Gómez Sánchez,

Antonio Vidaña

2023

CULCyT

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La cadena de suministro del azúcar cuenta con procesos logísticos complejos que cuando no son coordinados de manera tiene como consecuencia directa la disminución de la satisfacción del cliente. En la empresa mexicana Logistics, dedicada a almacenar, verificar y mandar costales de azúcar a buques de carga para su exportación, este proceso genera un contrato en el cual se pacta el tiempo de entrega de la carga solicitada (usualmente expresado en horas). En este proceso, los últimos meses no se ha cumplido con la meta establecida de satisfacción debido a que las entregas pactadas se han estado retrasando por horas o incluso días. Por esta razón, en el presente artículo se desarrolla un modelo de simulación que permite evaluar el comportamiento actual del sistema, tomando en cuenta los tiempos de ocio programados y no programados. Se identificó que menos del 10 % de las cargas son entregadas de manera satisfactoria a causa de prometer un determinado tiempo de entrega, por lo cual el modelo de simulación implementado otorga al usuario el tiempo estimado promedio que debe pactar para no reducir la satisfacción del cliente, teniendo como resultado un aumento de casi el 90 % en el número de cargas entregadas a tiempo.

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Carbon dynamics in agricultural greenhouse gas emissions and removals: a comprehensive review

Kamyab,

SaberiKamarposhti,

Hashim

et al. 2023

Carbon Lett.

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Revealing the hidden potentials of Internet of Things (IoT) - An integrated approach using agent-based modelling and system dynamics to assess sustainable supply chain performance

Cited by 9 publications

References 52 publications

Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling

Agroeconomic Indexes and Big Data: Digital Marketing Analytics Implications for Enhanced Decision Making with Artificial Intelligence-Based Modeling

Dinámica de sistemas para la gestión de salidas de un almacén de certificación portuaria

Carbon dynamics in agricultural greenhouse gas emissions and removals: a comprehensive review

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