M. Alemany

发表

Identifying the Main Uncertainties in the Agri-Food Supply Chain

Á. Ortiz, F. Alarcón, D. Pérez, 2018, Lecture Notes in Management and Industrial Engineering.

Deterministic and Uncertain Methods and Models for Managing Agri-Food Supply Chain

Á. Ortiz, M. Alemany, Ana Esteso, 2017 .

Traceability in the Food Supply Chain: Review of the literature from a technological perspective

A. Boza, M. Alemany, Sabrina Cruz Introini, 2018 .

Impact of product perishability on agri-food supply chains design

Á. Ortiz, M. Alemany, Ana Esteso, 2021 .

A Conceptual Framework for Crop-Based Agri-food Supply Chain Characterization Under Uncertainty

M. M. E. Alemany, Ana Esteso, Jorge E. Hernandez, 2020 .

INNOVATION PROJECT TO VALIDATE AND SELECT ITEMS FOR ASSESSING TRANSVERSAL COMPETENCIES IN HIGHER EDUCATION

Marta Fernández-Diego, Llanos Cuenca, Andrés Boza, 2016 .

Making Product-Service Systems in Collaborative Networks: Implications in Business Processes

Á. Ortiz, M. Alemany, F. Alarcón, 2012 .

Analysis of OM-Based Literature Reviews on Facility Layout Planning

M. Alemany, D. H. Peluffo-Ordóñez, D. Herrera-Granda, 2022, Journal of Scientific & Industrial Research.

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

Raul Poler, M. M. E. Alemany, Vicente S. Fuertes-Miquel, 2019, Int. J. Prod. Res..

Value-Chain Wide Food Waste Management: A Systematic Literature Review

Guoqing Zhao, Shaofeng Liu, Janusz Kacprzyk, 2019, EmC-ICDSST.

Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product

Raul Poler Escoto, M. M. E. Alemany, Vicente S. Fuertes-Miquel, 2016, Fuzzy Sets Syst..

Application of particle swarm optimisation with backward calculation to solve a fuzzy multi-objective supply chain master planning model

Josefa Mula, Hanzel Grillo, David Peidro, 2015, Int. J. Bio Inspired Comput..

Framework for the Modeling of the Supply Chain Collaborative Planning Process

M. M. E. Alemany, D. Pérez, M. Alemany, 2015 .

The Methodology of Modeling the Decision-Making Process for Planning the Logistics Supply Chain

David Pérez, María del Mar Alemany, Marian Molasy, 2015, ISAT.

Framework for Modelling the Decision: View of the Supply Chains Collaborative Planning Process

M. M. E. Alemany, Jorge Esteban Hernández Hormazabal, Francisco-Cruz Lario Esteban, 2012, Int. J. Decis. Support Syst. Technol..

Order promising process for extended collaborative selling chain

Francisco-Cruz Lario, F. Alarcón, M.M.E. Alemany, 2008 .

An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning

M. M. E. Alemany, J. J. Boj, Faustino Alarcón, 2011, Comput. Ind..

A design and application methodology for hierarchical production planning decision support systems in an enterprise integration context

Carlos Andrés, M.M.E. Alemany, Eduardo Vicens, 2001 .

Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an "industry 4.0" context

Juan Carlos Torres, María del Mar Eva Alemany, Luis Omar Alpala, 2018, DYNA.

A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots

M. M. E. Alemany, Hanzel Grillo, Angel Ortiz, 2015 .

Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models

M. M. E. Alemany, Ana Esteso, Angel Ortiz, 2018, Int. J. Prod. Res..

Centralized and distributed optimization models for the multi-farmer crop planning problem under uncertainty: Application to a fresh tomato Argentinean supply chain case study

Ángel Ortiz Bas, M. M. E. Alemany, Ana Esteso, 2020, Comput. Ind. Eng..

Conceptual Framework for Managing Uncertainty in a Collaborative Agri-Food Supply Chain Context

Ángel Ortiz Bas, M. M. E. Alemany, Ana Esteso, 2017, PRO-VE.

Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products

M. M. E. Alemany, Hanzel Grillo, Angel Ortiz, 2017 .

A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty

Ángel Ortiz Bas, M. M. E. Alemany, Hanzel Grillo, 2016, Comput. Ind. Eng..

SCAMM-CPA: A supply chain agent-based modelling methodology that supports a collaborative planning process

Raul Poler, Francisco C. Lario, M.M.E. Alemany, 2009 .

Simulation to reallocate supply to committed orders under shortage

Josefa Mula, Ana Esteso, Francisco Campuzano-Bolarín, 2018, Int. J. Prod. Res..

Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives

Ángel Ortiz Bas, M. M. E. Alemany, Llanos Cuenca, 2020, PRO-VE.

Conceptual Framework for the Interoperability Requirements of Collaborative Planning Process

Raul Poler Escoto, M. M. E. Alemany, Faustino Alarcón, 2010, I-ESA.

Human resource allocation problem in the Industry 4.0: A reference framework

M. Alemany, E. Caldwell, H. Grillo, 2022, Comput. Ind. Eng..

Conceptual framework for the characterization of the order promising process in a collaborative selling network context

Angel Ortiz, F. Alarcón, M.M.E. Alemany, 2009 .

Configurable DSS for Uncertainty Management by Fuzzy Sets

Ángel Ortiz Bas, M. M. E. Alemany, Vicente S. Fuertes-Miquel, 2016, ANT/SEIT.

BACKWARD CALCULATION (PSO-B) TO SOLVE A FUZZY MULTIOBJECTIVE SUPPLY CHAIN MASTER PLANNING MODEL

J. Mula, M. Alemany, David Peidro, 2016 .

Optimization model to support sustainable crop planning for reducing unfairness among farmers

Á. O. Bas, Shaofeng Liu, Á. Ortiz, 2021, Central European Journal of Operations Research.

A Fuzzy Order Promising Model With Non-Uniform Finished Goods

Ángel Ortiz Bas, Josefa Mula, M. M. E. Alemany, 2018, Int. J. Fuzzy Syst..