Integration model of collaborative supply chain

Bautista-Santos, Horacio; Fernández-Lambert, Gregorio; Bernábe-Loranca, María Beatríz; Sánchez-Galván, Fabiola; Cossío, Neyfe Sablón

doi:10.15446/dyna.v82n193.47370

Cited by 11 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to (Sanchez et al, 2015), the BSC approach, objectives, factors and indicators are structured in four main interrelated groups, each of which represent different perspectives of the company to entrepreneurs that allow them to examine their companies by establishing objectives from four different perspectives that provide answers to four basic questions (Figure 1):…”

Section: The Balance Score Card As a Business Management Modelmentioning

confidence: 99%

“…Five refers to the external collaborators that are required for the supply chain to be effective, efficient and competitive. Indeed (Bautista-Santos et al, 2015) the basis of external cooperation is the exchange of information, functions, knowledge and business processes in order to create competitive advantage in the supply chain, which includes employees, customers, suppliers and partners. Partner collaboration begins with the recognition that the success of each member depends on the satisfaction of other members and customers.…”

Section: Factors Relevant To Supply Chain Developmentmentioning

confidence: 99%

See 1 more Smart Citation

The Balanced Score Card as a Predictor of Supply Chain Improvement for ACES Peru, 2022

Souza Galo,

Bejarano Auqui,

Ramírez Pezo

2024

Acad. J. Interdiscip. Stud.

View full text Add to dashboard Cite

The application of Balance Score Card (BSC) and Supply Chain (SC) as structured methods of strategic analysis is scarce and controversial in the business management of some companies, except in large industries competing in the globalized market. The objective of the study was to analyze the Balance Score Card as a predictive tool to improve the Supply Chain (SC) of the company ACES Peru, 2022. The study evaluates the BSC variables and the five dimensions of the CS variable: Supply, production, storage, transportation and distribution, a total of 24 items on a Likert scale. A total of 260 responses were collected from those who participated in the survey. Statistically, exploratory factor analysis, Varimax factorial rotation, KMO, CFI, TLI and RSMA tests were used. The results show that BSC was not a significant predictor of CS; however, the BSC variable is a significant predictor of the dimensions of the CS variable. In these circumstances the BSC model assumes the role of evaluator of the management strategies developed in ACES and improver of the predictor level of CS and its dimensions. Received: 1 December 2023 / Accepted: 7 April 2024 / Published: 5 May 2024

show abstract

Section: The Balance Score Card As a Business Management Modelmentioning

confidence: 99%

Section: Factors Relevant To Supply Chain Developmentmentioning

confidence: 99%

The Balanced Score Card as a Predictor of Supply Chain Improvement for ACES Peru, 2022

Souza Galo,

Bejarano Auqui,

Ramírez Pezo

2024

Acad. J. Interdiscip. Stud.

View full text Add to dashboard Cite

show abstract

“…La administración y gestión de la cadena de suministros dependen en gran medida de los procesos que integran y coordinan la forma en que una empresa encuentra materias primas y los componentes necesarios para elaborar y entregar un producto o servicio (Bautista Santos, Martínez Flores et al 2015). En otras palabras, es una secuencia de eslabones que tiene como objetivo principal satisfacer competitivamente al cliente final.…”

Section: Introductionunclassified

La integración de la Cadena de suministro del sector hotelero: Estudio de caso Hotel Ceibo Dorado.

Cevallos-Villacreses,

Sablón-Cossío

2023

MQRInvestigar

View full text Add to dashboard Cite

La importancia de este estudio se centra en estudiar el nivel de integración de una cadena de suministro del sector hotelero: Estudio de caso Hotel Ceibo Dorado en la ciudad de Portoviejo, donde su principal problema es la gran demanda de este servicio y la limitada oferta de empresas dedicadas a esta actividad por las pérdidas de infraestructura en el terremoto en el año 2016. El objetivo de este artículo es analizar la integración de la cadena de suministro del sector hotelero en la provincia de Manabí mediante una metodología que combina los métodos cuantitativos y cualitativos, identificándose la investigación como de enfoque mixto, se utilizaron técnicas investigativas como la encuesta y el sistema SPSS para el análisis de datos. La realidad es que la cadena de suministro del sector hotelero es un factor crítico dentro de la economía de Portoviejo y mejorar este aspecto logístico debe ser una prioridad ante la necesidad de la demanda de los diferentes servicios que ofrecen los hoteles.

show abstract

“…On the other hand, other studies with a renewal approach such as artificial intelligence. For example: the blurry logic for the selection of variables (Bautista-Santos, Martínez-Flores, Fernández-Lambert, Bernabé-Loranca, Sánchez & Sablón-Cossío, 2015) and qualify the solutions to face the risk in the supply chain networks (Jafarnejad, Momeni, Abdollahi, Safari & Nakhai-Kamalabadi, 2018), the genetic algorithms (Liu & Ran 2019), the structural equation modeling for (Sreedevi & Saranga, 2017) and the neural networks for variable forecasting (Baharmand, 2019). This last perspective is the subject of this article.…”

Section: Introductionmentioning

confidence: 99%

Application of neural networks in predicting the level of integration in supply chains

Muñoz

Cossío

Cedeño

et al. 2020

JIEM

Self Cite

View full text Add to dashboard Cite

Purpose: This investigation is based on the theoretical analysis of the application of neural networks to the design and manage supply chains, along with an empirical approach, this investigation its developed with the prediction of the level of integration in the supply chain through neural networks.Design/methodology/approach: The methodology designed and used for the processing of data was the instruction of a neural network wich is used to predict the level of integration in a supply chain. This type of predictive application appears in the literature reviewed on supply chains. This analysis was carried out in a comparative way with the heterogeneous and homogeneous weights of the neuron training.Findings: The main results of this research focus on predicting the level of integration in the supply chain from the neoronal network. This provides a coached neuron that can be applied in other studies and, therefore, predict the outcome. On the other hand, it is shown that if the weights of the integration level variables are not homogeneous, the procedure presents different results depending on the context in which it is developed.Research limitations/implications: Among the limitations of the implementation of neural networks it should be noted, the necessary adaptation to the characteristics of the supply chains and the areas of performance of the business organizations under study, in the framework of activities productive or service itself, in addition to analyzing its corporate purpose in relation to the satisfaction of certain needs of the target markets.Originality/value: The literature shows multiple theoretical sources that refer to studies of neural networks in supply chains, observing the opportunity to apply this technique to predict the level of integration due to its benefits for decision making. The originality of this scientific work lies in the possibility of comparing the historical data of the level of integration and those predicted as a result of the coaching of the neuron with the weights of the heterogeneous and homogeneous variables.

show abstract

Integration model of collaborative supply chain

Cited by 11 publications

References 26 publications

The Balanced Score Card as a Predictor of Supply Chain Improvement for ACES Peru, 2022

The Balanced Score Card as a Predictor of Supply Chain Improvement for ACES Peru, 2022

La integración de la Cadena de suministro del sector hotelero: Estudio de caso Hotel Ceibo Dorado.

Application of neural networks in predicting the level of integration in supply chains

Contact Info

Product

Resources

About