Application of the multi-objective optimization under uncertainty for paper waste Reclycing systems

• Grant number: 18/14433-0
• Support type: Regular Research Grants
• Duration: May 01, 2019 - April 30, 2021
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal researcher: Fernando Augusto Silva Marins
• Grantee: Fernando Augusto Silva Marins
• Home Institution: Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil
• Assoc. researchers: Aneirson Francisco da Silva ; Cristiane Maria Defalque

Abstract

Reverse Logistics (RL) involves the collection, separation, recycling, and disposal of waste. One of the materials that can and should go through the recycling process is paper, since recycling of this material contributes to the development of the three pillars of sustainability (economic, environmental and social) by minimizing emissions of polluting gases, and the costs involved production processes, and by increasing the number of jobs. The general objective of this work is to develop a model for the waste paper recycling system in order to optimize the economic, environmental and social factors considering uncertainty. A literature search will be carried out to investigate multiobjective models, random parameters and techniques to deal with uncertainty in the context of solid waste RL. Visits to companies that work with waste paper will also be carried out to assist in the process of construction and validation of the proposed model. It is expected to elaborate a model close to reality in order to optimize sustainable objectives and to obtain interesting and competitive results with the help of the solution approaches that will be proposed. (AU)

Scientific publications

(7)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DA SILVA, ANEIRSON FRANCISCO; MARINS, FERNANDO AUGUSTO S.; DIAS, ERICA XIMENES. Improving the discrimination power with a new multi-criteria data envelopment model. ANNALS OF OPERATIONS RESEARCH, OCT 2019. (18/06858-0, 18/14433-0)

DA SILVA, ANEIRSON FRANCISCO; SILVA MARINS, FERNANDO AUGUSTO; DIAS, ERICA XIMENES; MIRANDA, RAFAEL DE CARVALHO. Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components. EXPERT SYSTEMS, v. 39, n. 2, SEP 2021. (18/14433-0, 18/06858-0)

DEFALQUE, CRISTIANE MARIA; MARINS, FERNANDO AUGUSTO SILVA; DA SILVA, ANEIRSON FRANCISCO; RODRIGUEZ, ELEN YANINA AGUIRRE. A review of waste paper recycling networks focusing on quantitative methods and sustainability. JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT, v. 23, n. 1, p. 55-76, JAN 2021. (18/06858-0, 18/14433-0)

DA SILVA, ANEIRSON FRANCISCO; SILVA MARINS, FERNANDO AUGUSTO; DIAS, ERICA XIMENES; DA SILVA OLIVEIRA, JOSE BENEDITO. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process. MATERIALS & DESIGN, v. 173, JUL 5 2019. (18/06858-0, 18/14433-0)

BRUNO VINÍCIUS RIBEIRO FURLANETTO; FERNANDO AUGUSTO SILVA MARINS; ANEIRSON FRANCISCO DA SILVA; CRISTIANE MARIA DEFALQUE. Otimização de uma rede logística considerando alocação de instalações e aspectos tributários. Gestão & Produção, v. 27, n. 4, 2020-12-02. (18/06858-0, 18/14433-0)

SILVA MARINS, FERNANDO AUGUSTO; DA SILVA, ANEIRSON FRANCISCO; MIRANDA, RAFAEL DE CARVALHO; BARRA MONTEVECHI, JOSE ARNALDO. A new approach using fuzzy DEA models to reduce search space and eliminate replications in simulation optimization problems. EXPERT SYSTEMS WITH APPLICATIONS, v. 144, APR 15 2020. (18/06858-0, 18/14433-0)

DE OLIVEIRA, STEFANO P.; LUCHE, JOSE ROBERTO D.; MARINS, FERNANDO A. S.; DA SILVA, ANEIRSON F.; COSTA, ANTONIO F. B.. Design of a Bike-Bus Network for a City of Half a Million Citizens. JOURNAL OF URBAN PLANNING AND DEVELOPMENT, v. 147, n. 3, SEP 2021. (18/06858-0, 18/14433-0)