Fernando D. Mele

National University of Tucumán

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Gonzalo Guillén‐Gosálbez

ETH Zurich

Luís Puigjaner

Universitat Politècnica de Catalunya

Antonio Espuña

Universitat Politècnica de Catalunya

Jonathan Wheeler

University of Oxford

Laureano Jiménez

Dalhousie University

Miguel J. Bagajewicz

University of Oklahoma

Paula Z. Araujo

National University of Tucumán

Lucas Ferrero

National University of Tucumán

Guillermo A. Durand

Consejo Nacional de Investigaciones Científicas y Técnicas

Andrei Kostin

Gazprom (Russia)

Cooperative Institutions

Consejo Nacional de Investigaciones Científicas y Técnicas

Universitat Politècnica de Catalunya

National University of Tucumán

Universidad Rovira i Virgili

Carnegie Mellon University

Planta Piloto de Ingeniería Química

National Technological University

Centro Científico Tecnológico - San Juan

Universidad Nacional del Sur

Centro Científico Tecnológico - Bahía Blanca

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Design and Planning of the Bioethanol Supply Chain Via Simulation-Based Optimization: The Case of Argentina

Iberoamerican Journal of Industrial Engineering (2012)

Guillermo A. Durand Fernando D. Mele Gonzalo Guillén‐Gosálbez Alberto Bandoni

This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand.The design problem is setting as a reformulation of a multiscenario mixed-integer linear programming (MILP) problem.It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels.The strategy supports decisions on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.).The capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry.Results include the investment strategy for the optimal SC configuration.

Supply chain optimization

10.13084/2175-8018.v04n08a07

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Citations (7)

Modeling of Purchase and Sales Contracts in Supply Chain Optimization

2006 SICE-ICASE International Joint Conference (2006)

Minhwan Park Sunwon Park Fernando D. Mele Ignacio E. Grossmann

This work presents a novel approach for modeling of different types of contracts that a company may sign with its suppliers and customers. The main objective is to expand the scope of current planning and supply chain optimization models by including the selection of the types of contracts as an additional decision. The solution approach relies on representing the decision of choosing different contracts using disjunctive programming for both short-term and long-term production planning models. The resulting formulation is converted into a mixed-integer linear programming (MILP) problem. The advantages of the proposed models are highlighted in two case studies of increasing complexity

Scope (computer science)

Decision model

Supply chain optimization

10.1109/sice.2006.315135

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Citations (2)

Diseño y optimización de la cadena de suministros de biorrefinerías de caña de azúcar

Jonathan Wheeler Lucas Maximiliano Machín Ferrero Pablo Mauricio Jeger Isabel Salas Tonello Fernando D. Mele

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Economic and environmental benefits of waste-based energy closed-loop integration in process industries under uncertainty

Computer-aided chemical engineering/Computer aided chemical engineering (2018)

Shabnam Morakabatchiankar Kefah Hjaila Fernando D. Mele Moisès Graells Antonio Espuña

10.1016/b978-0-444-64235-6.50089-9

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Citations (5)

Event-based approach for supply chain fault analysis

Computer-aided chemical engineering/Computer aided chemical engineering (2005)

Ramón Sarrate Fatiha Nejjari Fernando D. Mele Joseba Quevedo Luís Puigjaner

10.1016/s1570-7946(05)80052-5

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Citations (4)

Life cycle assessment of the Argentine lemon and its derivatives in a circular economy context

Sustainable Production and Consumption (2021)

Lucas Ferrero Jonathan Wheeler Fernando D. Mele

Circular Economy

Biogas

Value added

Bioproducts

Consumption

10.1016/j.spc.2021.11.014

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Citations (25)

Multiobjective Model for More Sustainable Fuel Supply Chains. A Case Study of the Sugar Cane Industry in Argentina

Industrial & Engineering Chemistry Research (2011)

Fernando D. Mele Andrew M. Kostin Gonzalo Guillén‐Gosálbez Laureano Jiménez

The objective of this work is to present a quantitative tool to support decision-making in the area of optimal design of supply chains (SC) for the combined production of sugar and ethanol. The problem is formulated as a multiobjective mixed-integer linear program that seeks to optimize simultaneously the economic and environmental performance of the production chain. The advantages of the approach presented are illustrated through its application to a case study, in which a trade-off exists between the economic and environmental performance of the network. Our method provides valuable insight into the problem and a guide to adopt more sustainable strategic alternatives in the design of SCs with embedded biorefineries.

Sustainable Production

Sugar cane

Sugar industry

10.1021/ie101400g

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Citations (159)

Life cycle assessment of bioenergy from lignocellulosic herbaceous biomass: The case study of Spartina argentinensis

Energy (2022)

Emiliano Jozami Fernando D. Mele Roxana Piastrellini Bárbara Civit Susana R. Feldman

10.1016/j.energy.2022.124215

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Citations (11)

Diseño óptimo de cadenas de suministros de biorrefinerías sustentablemente eficientes

Lucas Ferrero Richard Cabrera-Jiménez Jonathan Wheeler Carlos Pozo Curo Fernando D. Mele

El uso integral de la biomasa como materia prima para producir alimentos, energía y productos es crucial para alcanzar los Objetivos de Desarrollo Sostenible. El concepto de biorrefinería permite que regiones con abundantes recursos naturales aprovechen al máximo su disponibilidad de biomasa, consiguiendo una progresi-va independencia de los recursos fósiles. Este estudio presenta un marco multicri-terio para el diseño de cadenas de suministros (CS) de biorrefinerías bajo consi-deraciones de sustentabilidad. Se realiza una etapa de optimización de diferentes escenarios seguida de una clasificación basada en el modelo de Análisis Envol-vente de Datos (DEA) para evaluar la eficiencia de cada escenario de acuerdo con diferentes indicadores económicos, ambientales y sociales. Las capacidades de es-te enfoque se ilustran a través de un caso de estudio de una CS de biomasa locali-zada en el noroeste de la Argentina.

10.24215/15146774e010

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MINLP basado en el Proceso Analítico Jerárquico para simplificar problemas de optimización multiobjetivo

Jonathan Wheeler J. Rubén Ruiz Femenia José A. Caballero Gonzalo Guillén‐Gosálbez Fernando D. Mele

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