Banca de DEFESA: JOAO BATISTA MENDES BARBOSA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JOAO BATISTA MENDES BARBOSA
DATE: 23/02/2024
TIME: 10:00
LOCAL: Online
TITLE:
KEY WORDS:

Green permutation flow shop; Case study; Heuristic algorithm; Production sequencing; Multi-objective optimization.

PAGES: 107
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUMMARY:

This dissertation research deals with a permutational flow shop problem with environmental considerations (GPFSP) faced by a manufacturing company in the cleaning products, food, sanitizing, and hygiene products industry, located in the city of Recife – PE. The main objective of the study is to solve a GPFSP faced by a medium-sized industry, aiming to optimize the performance measures of Makespan and TEC. Thus, an attempt was made to determine a processing sequence for the products capable of reducing operational costs and environmental impacts generated by the organization. The research used a methodology that combines qualitative and quantitative approaches, allowing a deeper understanding of the investigated problem. Technical procedures involved literature review, computational experiments, and a case study. Initially, a literature review on task sequencing problems in flow shop environments was conducted to identify the main heuristic resolution methods. This step provided insights for the construction of a bibliometric analysis within the studied theme. Subsequently, a diagnosis of the current situation of task sequencing in the company was made, and on-site data collection was conducted. Following the steps listed above, data and information analysis began, along with the choice of the mixed-integer multi-objective linear programming model and the definition of the heuristic algorithm used. In this sense, computational tests were performed with classical heuristics, and the NEHT-RB showed efficient results compared to NEH, which is important since this heuristic is used as a constructive procedure in the chosen algorithm to solve the company's GPFSP. The heuristic algorithm NEHT-RB + VND + Energy Saving, proposed by Vasconcelos (2023), was applied to an instance constructed from the company's data, demonstrating efficiency by providing low computational time and obtaining solutions with lower energy consumption. The method enables energy savings through machine speed control, given the determination of a minimum Makespan that undergoes no changes. Multi-objective optimization took into account the minimization of conflicting evaluation criteria Makespan and TEC. Finally, the heuristic algorithm returned a set of 4 non-dominated solutions that will be analyzed based on the preferences of the production scheduling manager.

COMMITTEE MEMBERS:
Externo à Instituição - LUCIANO CARLOS AZEVEDO DA COSTA
Interna - 1809373 - MAISA MENDONCA SILVA
Presidente - 1078937 - RAPHAEL HARRY FREDERICO RIBEIRO KRAMER