J. Puente

发表

SUPPLIER EVALUATION , QUALIFICATION AND SELECTION MODEL : A PROPOSAL

J. Parreño, J. Puente, N. García, 2008 .

Comparative Analysis of Artificial Intelligence Techniques for Goods Classification

A. Gomez, P. Priore, J. Parreño, 2011 .

On improving failure mode and effects analysis ( FMEA ) from different artificial intelligence approaches

D. Fuente, P. Priore, R. Pino, 2014 .

Application of the FTOPSIS ranking method to an industrial facility location problem

J. Lozano, B. Ponte, D. Fuente, 2015 .

HOW TO MANAGE THE ONLINE EXPERIENCE CONCERNING TRANSACTIONAL AND EXPERIMENTAL CUSTOMERS: CASE OF E-FASHION SECTOR

Rodolfo Vazquez-Casielles, J. Puente, Adrián Castro-Lopez, 2019, Journal of Business Economics and Management.

Blockchain in sustainable supply chain management: an application of the analytical hierarchical process (AHP) methodology

D. Fuente, J. Puente, R. Rosillo, 2022, Bus. Process. Manag. J..

Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments with Multiple Objectives Using the Hybrid Dynamic Non-Dominated Sorting Genetic II Algorithm

I. Fernández, Alberto Gómez, J. Puente, 2022, Mathematics.

EVALUATION OF A SPANISH UNIVERSITY BY USING FUZZY LOGIC

Nazario García, Javier Puente, José Parreño, 2011 .

Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions

Javier Puente, Paolo Priore, Alberto Gomez, 2018, Int. J. Prod. Res..

Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system

Nazario García, Javier Puente, Paolo Priore, 2013, Appl. Soft Comput..

Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms

Alberto Gómez, Javier Puente, Paolo Priore, 2009, Comput. Ind. Eng..

A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems

David de la Fuente, Javier Puente, José Parreño, 2006, Eng. Appl. Artif. Intell..

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

David de la Fuente, Javier Puente, Fernando Gascón, 2019, Artif. Intell. Medicine.

e-Service Quality Model for Spanish Textile and Fashion Sector: Positioning Analysis and B2C Ranking by F-Topsis

Javier Puente, Adrian Castro-Lopez, Rodolfo Vazquez-Casielles, 2017, Int. J. Inf. Technol. Decis. Mak..

Fuzzy inference suitability to determine the utilitarian quality of B2C websites

Javier Puente, Adrian Castro-Lopez, Rodolfo Vazquez-Casielles, 2017, Appl. Soft Comput..

Integrating Sustainability in the Quality Assessment of EHEA Institutions: A Hybrid FDEMATEL-ANP-FIS Model

Paolo Priore, Alberto Gomez, Javier Puente, 2020 .

Abc classification with uncertain data. a fuzzy model vs. a probabilistic model

David de la Fuente, Javier Puente, Raúl Pino, 2002, Appl. Artif. Intell..

Using fuzzy inference systems to improve purchasing process-related decisions

J. Puente, I. Fernandez, N. Garcia, 2013, 2013 IEEE International Conference on Industrial Engineering and Engineering Management.

Evaluating critical success factors in the permanence in Higher Education using multi-criteria decision-making

Adrián Castro-Lopez, Ana B. Bernardo, Antonio Cervero, 2021, Higher Education Research & Development.

A Decision-Making Support System on a Products Recovery Management Framework. A Fuzzy Approach

Alberto Gómez, Nazario García, Javier Puente, 2008, Concurr. Eng. Res. Appl..

A decision support system for applying failure mode and effects analysis

David de la Fuente, Javier Puente, Raúl Pino, 2002 .

Integrated model for the assessment of power generation alternatives through analytic hierarchy process and a fuzzy inference system. Case study of Spain

Omar León, I. Fernández, J. Puente, 2023, Renewable Energy.

On firm specific characteristics of pharmaceutical generics and incentives to permanence under fuzzy conditions pdf

David de la Fuente, Javier Puente, Jesús Lozano Mosterín, 2012, ArXiv.

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

Nazario García, Javier Puente, Paolo Priore, 2018, Symmetry.

Learning-based scheduling of flexible manufacturing systems using ensemble methods

Alberto Gómez, Javier Puente, Borja Ponte, 2018, Comput. Ind. Eng..

LEARNING-BASED SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEMS USING SUPPORT VECTOR MACHINES

Alberto Gómez, Javier Puente, José Parreño, 2010, Appl. Artif. Intell..

A case-study about shift work management at a hospital emergency department with genetic algorithms

Alberto Gómez, David de la Fuente, Javier Puente, 2006, GECCO.

A New Heuristic for Shift Work Management

Alberto Gómez, David de la Fuente, Javier Puente, 2006, IC-AI.

Dynamic Scheduling of Manufacturing Systems with Machine Learning

Alberto Gómez, David de la Fuente, Javier Puente, 2001, Int. J. Found. Comput. Sci..

A review of machine learning in dynamic scheduling of flexible manufacturing systems

Alberto Gómez, David de la Fuente, Javier Puente, 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Different Stock Market Models Using Support Vector Machines

Javier Puente, Borja Ponte, Rafael Rosillo, 2013 .

On macroeconomic characteristics of pharmaceutical generics and the potential for manufacturing and consumption under fuzzy conditions

David de la Fuente, Javier Puente, Jesús Lozano Mosterín, 2007, Artif. Intell. Medicine.