Borja Ponte

Orcid: 0000-0003-3985-0400

According to our database¹, Borja Ponte authored at least 24 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

Simul. Model. Pract. Theory, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2022

2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2021

2019

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

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

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

[BibT_eX]

[DOI]

Borja Ponte

Mohamed M. Naim

Aris A. Syntetos

Eur. J. Oper. Res., 2019

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

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2019

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

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2019

2018

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

[BibT_eX]

[DOI]

Complex., 2018

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

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2018

2017

Exploring nonlinear supply chains: the dynamics of capacity constraints.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Decis. Support Syst., 2016

2015

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

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2015

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

2014

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

[BibT_eX]

[DOI]

Borja Ponte

Raúl Pino

David de la Fuente

Trans. Comput. Collect. Intell., 2014

2013

Supply Chain Management by Means of Simulation.

[BibT_eX]

[DOI]

Polibits, 2013

Multiagent Model to Reduce the Bullwhip Effect.

[BibT_eX]

Borja Ponte

David de la Fuente

Proceedings of the ICAART 2013, 2013

Borja Ponte

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