RETRACTED ARTICLE: Optimal design of transportation distance in logistics supply chain model based on data mining algorithm

Li, Jian

doi:10.1007/s10586-018-2544-x

Cited by 17 publications

(5 citation statements)

References 13 publications

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“…Since storage and internal flow are interconnected (Wollenburg et al , 2018), the existence of mixed routes adds complexity to the material flow, aggravating the analysis of this decision. Some studies in the literature analyze the transport and flow of materials simultaneously in order to reduce transport costs (Kazemi and Szmerekovsky, 2015; Suarez-Barraza et al , 2016; Küçükoğlu and Öztürk, 2017; Li, 2019). Regarding decision d 21 , literature evidence points out that the location of the DC is generally influenced by factors related to transport and vice versa.…”

Section: Resultsmentioning

confidence: 99%

Association between distribution centre design and contextual characteristics

Guimarães

Tortorella

Taboada

et al. 2021

JFM

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Purpose This paper aims to examine the relationship between the main decisions for designing distribution centers (DCs) and the contextual characteristics of the distribution networks. Design/methodology/approach Experts were surveyed and responses analyzed quantitatively through multivariate data techniques. This study considered four contextual characteristics that were deemed as influential for DC design: types of routes in the distribution network, quantity of DCs, distribution network levels and company size. Findings This paper evidenced which decisions are affected by each contextual characteristic encompassed in this study. This paper identified that the characteristic types of route in the distribution network must be carefully considered, as it had the greatest amount of associations with the decisions for designing a DC. Originality/value Despite its importance, most studies on design of DCs disregard the effect of the context in which DCs are inserted. This research provides arguments to support decision-making process of DCs design, increasing assertiveness of their planning. This work fulfills a literature gap by empirically examining the effect of contextual variables on the decisions related to DC design. Regarding practice, this paper addressed a fundamental issue for managers looking to design a DC, as it evidenced how contextual characteristics impact the decision-making.

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Section: Resultsmentioning

confidence: 99%

Association between distribution centre design and contextual characteristics

Guimarães

Tortorella

Taboada

et al. 2021

JFM

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“…The use of methods and theories that address data mining and even some statistical techniques in the cold chain develop a critical activity to ensure the predetermined metrics by those responsible for transported and stored products with predefined specificities (Li, 2019). Many challenges were observed varying from installing a new distribution center involving supply and demand caused by seasonality, regionality, and unpredictable customer preferences.…”

Section: Discussionmentioning

confidence: 99%

Thermal mapp routing in pharmaceutical products transportation using machine learning approach: a systematic review

Mangini

Lima

Nääs

2021

RSD

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The cold chain is crucial to ensure the quality and effectiveness of transported and stored medicines. For this, it is necessary to carry out the thermal mapping of routes for drugs transported between 15°C and 30°C, so that the most assertive decision can be taken without raising costs. This study aims to identify the main factors influencing the thermal mapping of pharmaceutical products in the cold chain and applying the machine learning technique. The method used for this systematic review is the Prisma, where the identification, screening, eligibility, and inclusion stages were analyzed. After analyzing 75 articles, the result shows that only eight papers were consistent with the use of modeling in the medicine cold chain distribution. Thus, it can be concluded that there is an extensive field to be researched regarding the use of prediction algorithms in the cold chain of drugs and vaccines.

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“…Uno de los problemas en la cadena de suministro es la ubicación estratégica de los centros de distribución, para lo cual la minería de datos, combinada con el algoritmo de clusterizacion a partir de cúmulos de macrodatos, permite tomar mejores decisiones en este eslabón de la cadena y poder responder efectivamente a los indicadores de ventas de la empresa, según la demanda del mercado (Li, 2019). Por lo tanto, el pronóstico de ventas es uno de los mayores beneficios, en términos prácticos, de la cadena de suministro, porque los datos revelan el comportamiento del consumidor (Boone et al, 2019).…”

Section: George Et Al (2014) Yunclassified

Análisis bibliométrico de la investigación en big data y cadena de suministro

Duque Hurtado,

Giraldo Castellanos,

Osorio Gómez

2023

Rev. CEA

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Los mercados contemporáneos requieren la gestión de grandes cantidades de datos, por lo que el big data se ha convertido en una tecnología para responder a esta necesidad. En consecuencia, las empresas competitivas los emplean en diversos procesos, como la gestión de la cadena de suministro. En este contexto, el presente artículo tuvo como objetivo analizar la investigación existente sobre la implementación del big data en la cadena de suministro. Para ello, se realizó una revisión sistemática de la literatura utilizando la metodología PRISMA y seleccionando documentos de las bases de datos Scopus y Web of Science. Se aplicaron herramientas bibliométricas y se clasificaron los documentos en tres grupos: raíces, tronco y hojas, según la metáfora del árbol del conocimiento, y se identificaron los clústeres de investigación. Los resultados revelaron que el big data en la cadena de suministro permite mejorar la toma de decisiones, la competitividad y la eficiencia logística. Se concluye que es un tema con creciente interés investigativo, liderado por China; que requiere cambios organizacionales estratégicos. Aporta beneficios en eficiencia y toma de decisiones, pero enfrenta desafíos en transición y resistencia al cambio. Los clústeres abordan el rendimiento, la adaptabilidad, la capacidad de gestión y la conectividad. Se proponen líneas futuras de estudio relacionadas con problemáticas globales, automatización y IoT.

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RETRACTED ARTICLE: Optimal design of transportation distance in logistics supply chain model based on data mining algorithm

Cited by 17 publications

References 13 publications

Association between distribution centre design and contextual characteristics

Association between distribution centre design and contextual characteristics

Thermal mapp routing in pharmaceutical products transportation using machine learning approach: a systematic review

Análisis bibliométrico de la investigación en big data y cadena de suministro

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