Borja Ponte

According to our database, Borja Ponte authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Integration of AHP and fuzzy inference systems for empowering transformative journeys in organizations: Assessing the implementation of Industry 4.0 in SMEs.

Isabel Fernández, Javier Puente, Borja Ponte, Alberto Gómez

Appl. Intell., December, 2024

On the dynamics of return collection in closed-loop supply chains.

Shupeng Huang, Haiyan Lu, Junyi Lin, Borja Ponte

Int. J. Prod. Res., February, 2024

Catch me if you can: A simulation model of the internationalization of digital platforms.

Esteban García-Canal, Mauro F. Guillén, Borja Ponte

Inf. Organ., 2024

Shaping closed-loop supply chain dynamics: Mitigating the bullwhip effect and improving customer satisfaction in production systems with material reuse.

Carmen Liping Fernández-Arribas, Borja Ponte, Isabel Fernández

Comput. Ind. Eng., 2024

2023

An agent-based simulator for quantifying the cost of uncertainty in production systems.

José Costas, Julio Puche, Borja Ponte, Mahesh C. Gupta

Simul. Model. Pract. Theory, 2023

On the stationary stochastic response of an order-constrained inventory system.

Xun Wang, Stephen M. Disney, Borja Ponte

Eur. J. Oper. Res., 2023

2022

Examining the balance between efficiency and resilience in closed-loop supply chains.

María de Arquer, Borja Ponte, Raúl Pino

Central Eur. J. Oper. Res., 2022

Homogeneous grouping of non-prime steel products for online auctions: a case study.

Borja Ena, Alberto Gómez, Borja Ponte, Paolo Priore, Diego Díaz

Ann. Oper. Res., 2022

2021

Exploring the nonlinear dynamics of the lost-sales order-up-to policy.

Stephen M. Disney, Borja Ponte, Xun Wang

Int. J. Prod. Res., 2021

Proportional order-up-to policies for closed-loop supply chains: the dynamic effects of inventory controllers.

Salvatore Cannella, Borja Ponte, Roberto Domínguez, Jose M. Framiñan

Int. J. Prod. Res., 2021

2019

Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments.

Paolo Priore, Borja Ponte, Rafael Rosillo, David de la Fuente

Int. J. Prod. Res., 2019

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems.

Thanos E. Goltsos, Borja Ponte, Shixuan Wang, Ying Liu, Mohamed M. Naim, Aris A. Syntetos

Int. J. Prod. Res., 2019

The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective.

Julio Puche, José Costas, Borja Ponte, Raúl Pino, David de la Fuente

Expert Syst. Appl., 2019

The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems.

Borja Ponte, Mohamed M. Naim, Aris A. Syntetos

Eur. J. Oper. Res., 2019

On the dynamics of closed-loop supply chains with capacity constraints.

Roberto Domínguez, Borja Ponte, Salvatore Cannella, Jose M. Framiñan

Comput. Ind. Eng., 2019

On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions.

Javier Puente, Fernando Gascón, Borja Ponte, David de la Fuente

Artif. Intell. Medicine, 2019

2018

Evolving Trends in Supply Chain Management: Complexity, New Technologies, and Innovative Methodological Approaches.

Salvatore Cannella, Roberto Domínguez, Jose M. Framiñan, Borja Ponte

Complex., 2018

Learning-based scheduling of flexible manufacturing systems using ensemble methods.

Paolo Priore, Borja Ponte, Javier Puente, Alberto Gómez

Comput. Ind. Eng., 2018

2017

Exploring nonlinear supply chains: the dynamics of capacity constraints.

Borja Ponte, Xun Wang, David de la Fuente, Stephen M. Disney

Int. J. Prod. Res., 2017

Exploring the interaction of inventory policies across the supply chain: An agent-based approach.

Borja Ponte, Enrique Sierra, David de la Fuente, Jesús Lozano Mosterín

Comput. Oper. Res., 2017

2016

Intelligent Decision Support System for Real-Time Water Demand Management.

Borja Ponte, David de la Fuente, José Parreño, Raúl Pino

Int. J. Comput. Intell. Syst., 2016

Holism versus reductionism in supply chain management: An economic analysis.

Borja Ponte, José Costas, Julio Puche, David de la Fuente, Raúl Pino

Decis. Support Syst., 2016

2015

Real-time water demand forecasting system through an agent-based architecture.

Borja Ponte, David de la Fuente, Raúl Pino, Rafael Rosillo

Int. J. Bio Inspired Comput., 2015

Applying Goldratt's Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling.

José Costas, Borja Ponte, David de la Fuente, Raúl Pino, Julio Puche

Expert Syst. Appl., 2015

2014

Multiagent Methodology to Reduce the Bullwhip Effect in a Supply Chain.

Borja Ponte, Raúl Pino, David de la Fuente

Trans. Comput. Collect. Intell., 2014

2013

Supply Chain Management by Means of Simulation.

Borja Ponte, David de la Fuente, Raúl Pino, Rafael Rosillo, Isabel Fernández

Polibits, 2013

Multiagent Model to Reduce the Bullwhip Effect.

Borja Ponte, David de la Fuente

Proceedings of the ICAART 2013, 2013