ESHT - DSIM - Comunicações em eventos científicos
URI permanente para esta coleção:
Navegar
Percorrer ESHT - DSIM - Comunicações em eventos científicos por Domínios Científicos e Tecnológicos (FOS) "Engenharia e Tecnologia::Outras Engenharias e Tecnologias"
A mostrar 1 - 3 de 3
Resultados por página
Opções de ordenação
- A hybrid strategy for oven optimization in aerospace manufacturing: lean principles and mathematical modellingPublication . Pereira, M. Teresa; Pereira, Marisa G.; Ferreira, Fernanda A.; Silva, Francisco G.; Guimarães, AndréAdopting the Lean philosophy is essential for reducing costs and increasing productivity in industrial environments, where equipment efficiency plays a pivotal role. This study focuses on optimizing the use of an oven, a critical equipment, in the aircraft parts manufacturing process, in a company producing composite components for aerospace applications. A mathematical model based on the classic two-dimensional knapsack problem was developed to address inefficiencies in space utilization and workflow inconsistencies. The model was implemented to determine the optimal parts’ allocation, maximizing oven occupancy while ensuring efficient workflows. The study introduces a hybrid strategy that combines a structured allocation system with vertical shelving units to streamline part storage and improve the kiln-loading process. Extensive experiments validated the model’s performance, demonstrating its ability to support Lean principles by enhancing productivity and reducing costs in the aeronautical industry. This work underscores the importance of mathematical modelling for optimizing manufacturing processes and meeting the increasing demands of modern production environments.
- Optimization of metal sheet cutting processes using integer linear programming: reducing waste and enhancing production efficiencyPublication . Pereira, Marisa G.; Pereira, M. Teresa; Fernandes, Miguel A.; Silva, Francisco G.; Guimarães, André; Ferreira, Fernanda A.This paper presents an optimization approach for metal sheet cutting processes using Integer Linear Programming (ILP). It addresses the critical challenges of material waste and inefficiencies inherent in traditional manual cutting methods. The primary objective was to develop and implement an ILP-based model to automate and optimize cutting plans, thereby minimizing material waste and enhancing production efficiency. The proposed model extends existing optimization frameworks by incorporating constraints and decision variables tailored to the Two-Dimensional Strip Packing Problem (2D-SPP). Implemented in Python with libraries such as PuLP for mathematical modeling and Matplotlib for result visualization, the model was validated using real-world datasets. Results demonstrated substantial improvements, achieving material utilization rates of up to 87.94%. These findings underscore the effectiveness of ILP in addressing complex industrial challenges, offering a systematic approach to waste reduction and workflow optimization. The paper concludes by evaluating the model’s practical implications and its potential scalability for broader industrial applications.
- Process modelling of copacking operations using BPMN: a case study at a large european logistics operator distribution centrePublication . Pereira, Maria T.; Pinto, Carlota; Ferreira, Fernanda A.; Ramos, Filipe R.; Pereira, Marisa G.; SpringerCopacking and reworking activities play a critical role in modern logistics operations, particularly in highly customized supply chains. However, their predominantly manual nature makes them prone to inefficiencies, variability, and limited standardization. This study applies Business Process Model and Notation (BPMN) to model, analyse, and structure the end-to-end copacking workflow within a large European logistics operator, focusing on an external service provider operating within the facility. The methodological approach involved direct observation and segmentation of the process into four phases: Budgeting process, Preparation for the start, Operational handling and Material handling and order closure. The BPMN diagrams developed enabled the identification of bottlenecks, redundant email-based communication loops, manual data reconciliation using Excel and limited system integration across WMS and SAP platforms. Results demonstrate that BPMN effectively increases process transparency, clarifies interdepartmental responsibilities, and supports the identification of opportunities for automation particularly in administrative tasks, quotation validation cycles, and order closure procedures. The study concludes that structured process modelling is a valuable step toward future digitalization and operational optimisation in copacking environments, contributing to greater consistency, traceability, and scalability in logistics services that remain heavily dependent on human intervention.