A Conceptual Framework for Modelling the Collaborative Order Management Process. - Faustino Alarcón; Maria Jose Verdecho; M. M. E. Alemany; Francisco-Cruz Lario Esteban (IESA, 2009)

Conceptual Framework for the Interoperability Requirements of Collaborative Planning Process. - María M. E. Alemany; Faustino Alarcón; Francisco-Cruz Lario Esteban; Raul Poler (I-ESA, 2010)

Impact of Coordination Mechanisms on the Collaborative Planning Process Components. - M. M. E. Alemany; Faustino Alarcón; Ángel Ortiz Bas (BASYS, 2010)

An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. - M. M. E. Alemany; Faustino Alarcón; Francisco-Cruz Lario Esteban; Jorge Juan Boj (Comput. Ind., 2011)

Framework for Modelling the Decision: View of the Supply Chains Collaborative Planning Process. - D. David Pérez Perales; Francisco-Cruz Lario Esteban; Ma Mar Eva Alemany Díaz; Jorge E. Hernández (Int. J. Decis. Support Syst. Technol., 2012)

Structural elements of coordination mechanisms in collaborative planning processes and their assessment through maturity models: Application to a ceramic tile company. - Llanos Cuenca; Andrés Boza; M. M. E. Alemany; Jos J. M. Trienekens (Comput. Ind., 2013)

A Decentralized Production and Distribution Planning Model in an Uncertain Environment. - Johannes Hegeman; David Peidro; María del Mar Alemany; Manuel Díaz-Madroñero (Supply Chain Management Under Fuzziness, 2014)

The Methodology of Modeling the Decision-Making Process for Planning the Logistics Supply Chain. - David Pérez; María del Mar Alemany; Marian Molasy (ISAT (4), 2015)

Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model. - Hanzel Grillo; David Peidro; M. M. E. Alemany; Josefa Mula (Int. J. Bio Inspired Comput., 2015)

Configurable DSS for Uncertainty Management by Fuzzy Sets. - M. M. E. Alemany; Andrés Boza; Ángel Ortiz Bas; Vicente S. Fuertes-Miquel (ANT/SEIT, 2016)

Event Classification System to Reconsider the Production Planning. - Andrés Boza; Faustino Alarcón; M. M. E. Alemany; Llanos Cuenca (ICEIS (2), 2016)

Event Monitoring System to Classify Unexpected Events for Production Planning. - Andrés Boza; Faustino Alarcón; M. M. E. Alemany; Llanos Cuenca (ICEIS (Revised Selected Papers), 2016)

Modelling Pricing Policy Based on Shelf-Life of Non Homogeneous Available-To-Promise in Fruit Supply Chains. - Hanzel Grillo; M. M. E. Alemany; Ángel Ortiz Bas (PRO-VE, 2016)

A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty. - Hanzel Grillo; M. M. E. Alemany; Ángel Ortiz Bas (Comput. Ind. Eng., 2016)

Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product. - M. I. Mundi; M. M. E. Alemany; Raul Poler; Vicente S. Fuertes-Miquel (Fuzzy Sets Syst., 2016)

Conceptual Framework for Managing Uncertainty in a Collaborative Agri-Food Supply Chain Context. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas (PRO-VE, 2017)

A Collaborative Model to Improve Farmers' Skill Level by Investments in an Uncertain Context. - Ana Esteso; María del Mar Alemany; Ángel Ortiz Bas; Cécile Guyon (PRO-VE, 2018)

A decision support tool for the order promising process with product homogeneity requirements in hybrid Make-To-Stock and Make-To-Order environments. Application to a ceramic tile company. - M. M. E. Alemany; Ángel Ortiz Bas; Vicente S. Fuertes-Miquel (Comput. Ind. Eng., 2018)

A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas; David Peidro (Comput. Ind. Eng., 2018)

A Fuzzy Order Promising Model With Non-Uniform Finished Goods. - Hanzel Grillo; M. M. E. Alemany; Ángel Ortiz Bas; Josefa Mula (Int. J. Fuzzy Syst., 2018)

Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas (Int. J. Prod. Res., 2018)

How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System. - Pascale Zaraté; M. M. E. Alemany; Mariana del Pino; Ana Esteso Alvarez; Guy Camilleri (EmC-ICDSST, 2019)

Value-Chain Wide Food Waste Management: A Systematic Literature Review. - Guoqing Zhao; Shaofeng Liu 001; Huilan Chen; Carmen Lopez 001; Jorge E. Hernández; Cécile Guyon; Rina Iannacone; Nicola Calabrese; Hervé Panetto; Janusz Kacprzyk; M. M. E. Alemany (EmC-ICDSST, 2019)

Simulation to reallocate supply to committed orders under shortage. - Ana Esteso; Josefa Mula; Francisco Campuzano-Bolarín; Ma Mar Eva Alemany Díaz; Ángel Ortiz Bas (Int. J. Prod. Res., 2019)

Possibilistic compositions and state functions: application to the order promising process for perishables. - Hanzel Grillo; M. M. E. Alemany; Ángel Ortiz Bas; Bernard De Baets (Int. J. Prod. Res., 2019)

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model. - Isabel Mundi; M. M. E. Alemany; Raul Poler; Vicente S. Fuertes-Miquel (Int. J. Prod. Res., 2019)

A Decision Support Tool for the Selection of Promoting Actions to Encourage Collaboration in Projects for the Agriculture Sector. - M. M. E. Alemany; Faustino Alarcón; David Pérez; Cécile Guyon (PRO-VE, 2020)

Optimization Models to Improve First Quality Agricultural Production Through a Collaboration Program in Different Scenarios. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas; Pascale Zaraté (PRO-VE, 2020)

Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives. - María Angeles Rodríguez; M. M. E. Alemany; Andrés Boza; Llanos Cuenca; Ángel Ortiz Bas (PRO-VE, 2020)

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios. - Israel David Herrera-Granda; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; M. M. E. Alemany (LOD (2), 2020)

A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez; Israel David Herrera-Granda (LOD (2), 2020)

Using LEL and scenarios to derive mathematical programming models. Application in a fresh tomato packing problem. - Alejandra Garrido 001; Leandro Antonelli 001; Jonathan Martin; M. M. E. Alemany; Josefa Mula (Comput. Electron. Agric., 2020)

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture. - Mario Lezoche; Jorge Esteban Hernández Hormazabal; María del Mar Eva Alemany Díaz; Hervé Panetto; Janusz Kacprzyk (Comput. Ind., 2020)

Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains - New directions, challenges and applications. - Hervé Panetto; Mario Lezoche; Jorge Esteban Hernández Hormazabal; María del Mar Eva Alemany Díaz; Janusz Kacprzyk (Comput. Ind., 2020)

Group Decision Support for agriculture planning by a combination of Mathematical Model and Collaborative Tool. - Pascale Zaraté; M. M. E. Alemany; Ana Esteso Alvarez; Amir Sakka; Guy Camilleri (CoRR, 2020)

Demand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez; Roberth A. Araujo (ACIIDS, 2021)

The integration of Transversal Competences in Higher Education in Engineering through e-learning tools. The case of the ETSII at the UPV. - José Felipe Villanueva López; María del Mar Eva Alemany Díaz; Ana Vallés-Lluch; Jorge García-Serra García F. Alarcón; D. Alfonso; V. Amigó; J. Andrés; F. Aparicio; P. Aragonés; M. Arroyo; M. J. Bastante; M. A. Bes; et al. (CINAIC, 2021)

Collaborative Plan to Reduce Inequalities Among the Farms Through Optimization. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas; Rina Iannacone (PRO-VE, 2021)

Centralized and distributed optimization models for the multi-farmer crop planning problem under uncertainty: Application to a fresh tomato Argentinean supply chain case study. - M. M. E. Alemany; Ana Esteso; Ángel Ortiz Bas; Mariana del Pino (Comput. Ind. Eng., 2021)

Collaborative Optimization Tool for Sustainable Planning of an Agricultural Supply Chain Preserving Farmers' Independence. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz; Mario Lezoche (PRO-VE, 2022)

Human resource allocation problem in the Industry 4.0: A reference framework. - Hanzel Grillo; M. M. E. Alemany; Eldon Caldwell (Comput. Ind. Eng., 2022)

Optimization model to support sustainable crop planning for reducing unfairness among farmers. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas; Shaofeng Liu 001 (Central Eur. J. Oper. Res., 2022)

System dynamics model for improving the robustness of a fresh agri-food supply chain to disruptions. - Ana Esteso; M. M. E. Alemany; Fernando Ottati; Ángel Ortiz (Oper. Res., 2023)

A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez (Comput. Ind. Eng., 2024)

Sustainable agri-food supply chain planning through multi-objective optimisation. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz (J. Decis. Syst., 2024)

Integrating freshness and profitability in horticultural supply chain design. - Ana Esteso; M. M. E. Alemany; Ángel Ortiz Bas; Rina Iannacone (Central Eur. J. Oper. Res., 2025)