Dynamic stability metrics for the container loading problem

The Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.

Characterization of an antioxidant surfactant-free topical formulation containing Castanea sativa leaf extract

Context: Inclusion of antioxidants in topical formulations can contribute to minimize oxidative stress in the skin, which has been associated with photoaging, several dermatosis and cancer. Objective: A Castanea sativa leaf extract with established antioxidant activity was incorporated into a semisolid surfactant-free formulation. The objective of this study was to perform a comprehensive characterization of this formulation. Materials and methods: Physical, microbiological and functional stability were evaluated during 6 months storage at 20 °C and 40 °C. Microstructure elucidation (cryo-SEM), in vitro release and in vivo moisturizing effect (Corneometer® CM 825) were also assessed. Results and discussion: Minor changes were observed in the textural and rheological properties of the formulation when stored at 20 °C for 6 months and the antioxidant activity of the plant extract remained constant throughout the storage period. Microbiological quality was confirmed at the end of the study. Under accelerated conditions, higher modifications of the evaluated parameters were observed. Cryo-SEM analysis revealed the presence of oil droplets dispersed into a gelified external phase. The release rate of the antioxidant compounds (610 ± 70 µgh−0.5) followed Higuchi model. A significant in vivo moisturizing effect was demonstrated, that lasted at least 4 h after product’s application. Conclusion: The physical, functional and microbiological stability of the antioxidant formulation was established. Specific storage conditions should be recommended considering the influence of temperature on the stability. A skin hydration effect and good skin tolerance were also found which suggests that this preparation can be useful in the prevention or treatment of oxidative stress-mediated dysfunctions.

Cutting path as a rural postman problem

The Rural Postman Problem (RPP) is a particular Arc Routing Problem (ARP) which consists of determining a minimum cost circuit on a graph so that a given subset of required edges is traversed. The RPP is an NP-hard problem with significant real-life applications. This paper introduces an original approach based on Memetic Algorithms - the MARP algorithm - to solve the RPP and, also deals with an interesting Industrial Application, which focuses on the path optimization for component cutting operations. Memetic Algorithms are a class of Metaheuristics which may be seen as a population strategy that involves cooperation and competition processes between population elements and integrates “social knowledge”, using a local search procedure. The MARP algorithm is tested with different groups of instances and the results are compared with those gathered from other publications. MARP is also used in the context of various real-life applications.

Melhoria do processo produtivo de embalagem numa empresa do ramo automóvel

Este estudo foi desenvolvido no âmbito da Unidade curricular de Dissertação / Projeto / Estágio do Mestrado em Engenharia Mecânica – Ramo de Gestão Industrial do Instituto Superior de Engenharia do Porto, com aplicação em ambiente industrial numa empresa metalomecânica da indústria automóvel. O projeto desenvolveu-se na secção de inspeção e embalagem de produto acabado da empresa IETA S.A., fornecedora de estruturas metálicas, com o objetivo de minimizar as reclamações recebidas por defeitos originados no processo de fabrico. A abordagem a este estudo iniciou-se pelo registo e análise de dados e consequente formulação e implementação de melhorias ao processo de fabrico, com recurso a metodologias e ferramentas Lean. A existência de um problema relacionado com o processo de fabrico em vigor permitiu o conhecimento dos hábitos de trabalho e a apresentação de propostas de melhoria ao layout fabril e ao método de trabalho em vigor na secção. A análise dos problemas existentes possibilitou a identificação de oportunidades de melhoria em outras áreas do processo, revelando-se o poder das ferramentas utilizadas na análise de dados. Este estudo de investigação revelou ser muito enriquecedor e motivador tendo proporcionado a aplicação de conteúdos científicos Lean em ambiente industrial ficando provada a mais-valia da sua implementação. A aplicação das ferramentas e metodologias Lean estudadas permitiram efetuar uma análise cuidada dos dados conduzindo a propostas de melhoria vantajosas e compatíveis com as necessidades da empresa. As propostas apresentadas, apesar de não terem sido todas implementadas, resultaram num impacto positivo no processo de fabrico com uma eliminação expectável de 38% dos defeitos reclamados.