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Surface-mount technology is a method for producing electronic circuits in which the components are mounted or placed directly onto the surface of printed circuit boards. The purpose of this study was to analyze nozzle change in two production lines. Following a previous study, it was proposed that one type of nozzle would place resistors while another type of nozzle would place capacitors, contrary to what happened in the initial process, where the two placed both components. However, the change of nozzle was not done globally, but only applied to two specific types of capacitors that were more critical. Even so, the positive effect of this change was globally visible, both in the decreased number of component rejection and in the reduced number of component defects in the printed circuit boards. It was also possible to estimate the percentage saving and the expected growth from this new implementation. The data were validated using statistical analysis. Finally, the current cleaning periodicity of the nozzles was examined in order to verify if it was compromising their performance.
Luís Silva; Susana Lima; José Meireles; Mário Pinhão; A. Manuela Gonçalves; M. T. Malheiro; José Machado. A Systematic Analysis of an Industrial Pickup and Placement Production System. 5th EAI International Conference on Management of Manufacturing Systems 2021, 479 -491.
AMA StyleLuís Silva, Susana Lima, José Meireles, Mário Pinhão, A. Manuela Gonçalves, M. T. Malheiro, José Machado. A Systematic Analysis of an Industrial Pickup and Placement Production System. 5th EAI International Conference on Management of Manufacturing Systems. 2021; ():479-491.
Chicago/Turabian StyleLuís Silva; Susana Lima; José Meireles; Mário Pinhão; A. Manuela Gonçalves; M. T. Malheiro; José Machado. 2021. "A Systematic Analysis of an Industrial Pickup and Placement Production System." 5th EAI International Conference on Management of Manufacturing Systems , no. : 479-491.
It is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out.
Somnath Chattopadhyaya; BrajeshKumar Dinkar; Alok Mukhopadhyay; Shubham Sharma; José Machado. Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment. Sustainability 2021, 13, 8672 .
AMA StyleSomnath Chattopadhyaya, BrajeshKumar Dinkar, Alok Mukhopadhyay, Shubham Sharma, José Machado. Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment. Sustainability. 2021; 13 (15):8672.
Chicago/Turabian StyleSomnath Chattopadhyaya; BrajeshKumar Dinkar; Alok Mukhopadhyay; Shubham Sharma; José Machado. 2021. "Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment." Sustainability 13, no. 15: 8672.
Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on the contemporary manufacturing environment. Although the decentralization of supply chain has led to rapid advancements in manufacturing systems, finding an efficient supplier simultaneously from the pool of available ones as per customer requirement and enhancing the process planning and scheduling functions are the predominant approaches still needed to be addressed. Therefore, this paper aims to address this issue by considering a set of gear manufacturing industries located across India as a case study. An integrated classifier-assisted evolutionary multi-objective evolutionary approach is proposed for solving the objectives of makespan, energy consumption, and increased service utilization rate, interoperability, and reliability. To execute the approach initially, text-mining-based supervised machine-learning models, namely Decision Tree, Naïve Bayes, Random Forest, and Support Vector Machines (SVM) were adopted for the classification of suppliers into task-specific suppliers. Following this, with the identified suppliers as input, the problem was formulated as a multi-objective Mixed-Integer Linear Programming (MILP) model. We then proposed a Hybrid Multi-Objective Moth Flame Optimization algorithm (HMFO) to optimize process planning and scheduling functions. Numerical experiments have been carried out with the formulated problem for 10 different instances, along with a comparison of the results with a Non-Dominated Sorting Genetic Algorithm (NSGA-II) to illustrate the feasibility of the approach.
Veera Ramakurthi; V. Manupati; José Machado; Leonilde Varela. A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems. Applied Sciences 2021, 11, 6314 .
AMA StyleVeera Ramakurthi, V. Manupati, José Machado, Leonilde Varela. A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems. Applied Sciences. 2021; 11 (14):6314.
Chicago/Turabian StyleVeera Ramakurthi; V. Manupati; José Machado; Leonilde Varela. 2021. "A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems." Applied Sciences 11, no. 14: 6314.
In the last years, cork-based composites proved to be able to provide new solutions for different areas like footwear or aerospace. Some of these products are the result of a combination of cork granulates with different materials - like thermosets or thermoplastics -, and its manufacture involves a thermal process. In order to simulate the manufacturing process of these types of composites, a new methodology was applied. A material composed of cork and a thermoplastic served as a case study. A model for the prediction of a cork composite mixture properties and a simulation methodology was developed to study the variation of temperature during the moulding process of cork composites. Density, thermal conductivity, and specific heat were determined based on the composite formulation and the properties of cork and the agglutinant agent, through the development of two theoretical models. The results obtained by both models were very similar. The assumptions, boundary conditions, finite volume and finite element methods formulations used for analyses are also presented.
Helena Lopes; Susana P. Silva; José Machado. Modelling of Thermal Properties and Temperature Evolution of Cork Composites During Moulding Process: Model Development. Recent Advances in Computational Mechanics and Simulations 2021, 274 -284.
AMA StyleHelena Lopes, Susana P. Silva, José Machado. Modelling of Thermal Properties and Temperature Evolution of Cork Composites During Moulding Process: Model Development. Recent Advances in Computational Mechanics and Simulations. 2021; ():274-284.
Chicago/Turabian StyleHelena Lopes; Susana P. Silva; José Machado. 2021. "Modelling of Thermal Properties and Temperature Evolution of Cork Composites During Moulding Process: Model Development." Recent Advances in Computational Mechanics and Simulations , no. : 274-284.
Dumpers or dump trucks are used all over the world to move overburden from many opencast mines. Diesel engines are the main driving force behind the trucks. The frequency of damage due to the failure of diesel engines is enormous. Therefore, efforts are necessary to analyze failure to reduce the downtime periods. A detailed analysis of engine failure at the subsystem level needs to be done. Reliability analysis and maintenance planning remain the norm in this regard. The obstacle faced while analysing the reliability of dumpers was the availability of a large number of data failures. In this paper, this issue is addressed by using Common Beta Hypothesis test and Meta-analysis test. The engine is divided into five subsystems. The result shows that all five subsystems pass the CBH test and Meta-analysis test. Accordingly, the failure data is grouped. The trend test of grouped failure data shows that the Failure data of two subsystems follows the independent and identically distributed characteristics while the remaining three do not follow it. The reliability is estimated for all five subsystems. Finally, fuel supply subsystems show the highest reliability while the lowest value is seen for self-starting subsystems.
BrajeshKumar Dinkar; Alok Mukhopadhyay; Somnath Chattopadhyaya; Shubham Sharma; Firoz Alam; José Machado. Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation. Applied Sciences 2021, 11, 5387 .
AMA StyleBrajeshKumar Dinkar, Alok Mukhopadhyay, Somnath Chattopadhyaya, Shubham Sharma, Firoz Alam, José Machado. Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation. Applied Sciences. 2021; 11 (12):5387.
Chicago/Turabian StyleBrajeshKumar Dinkar; Alok Mukhopadhyay; Somnath Chattopadhyaya; Shubham Sharma; Firoz Alam; José Machado. 2021. "Statistical Reliability Assessment for Small Sample of Failure Data of Dumper Diesel Engines Based on Power Law Process and Maximum Likelihood Estimation." Applied Sciences 11, no. 12: 5387.
A comprehensive approach to the technological wear resistance of parts is based, on the one hand, on the assessment of quality indicators of parts that characterize their geometric shape, surface layer quality, and volumetric properties, depending on technological factors, and, on the other hand, on performance characteristics: contact stiffness, corrosion resistance of parts depending on their quality indicators. In order to do this, considering the mutual influence of quality indicators, changes in one indicator depending on another and changes in the second indicator depending on the first, which are manifested in the same technological transition, such effects significantly affect the values of quality indicators, especially in the manufacture of precision details. A method for estimating the contact interaction of friction plunger pairs is proposed, which considers microgeometric parameters and physical and mechanical properties of the surface layer of conjugate parts based on the theory of the elliptical shape of the microprojections of the surface layer. Modeling the process of contact interaction of coaxial sliding contact of two surfaces, in the form of contact of a cylindrical plunger and a sleeve with equivalent values of parameters of roughness, undulation, and macrodeviations is given. As a result of the comparison of calculated and actual values of wear resistance parameters, the suitability of this approach for modeling of processes of contact interaction of friction surfaces is confirmed. The results confirming the adequacy of the offered model are presented.
Kostiantyn Svirzhevskyi; Oleg Zabolotnyi; Anatolii Tkachuk; José Machado; Andriy Kononenko. An Increase in Wear Resistance Frictional Contact of Functional Surfaces for Plunger Pairs. Recent Advances in Computational Mechanics and Simulations 2021, 84 -94.
AMA StyleKostiantyn Svirzhevskyi, Oleg Zabolotnyi, Anatolii Tkachuk, José Machado, Andriy Kononenko. An Increase in Wear Resistance Frictional Contact of Functional Surfaces for Plunger Pairs. Recent Advances in Computational Mechanics and Simulations. 2021; ():84-94.
Chicago/Turabian StyleKostiantyn Svirzhevskyi; Oleg Zabolotnyi; Anatolii Tkachuk; José Machado; Andriy Kononenko. 2021. "An Increase in Wear Resistance Frictional Contact of Functional Surfaces for Plunger Pairs." Recent Advances in Computational Mechanics and Simulations , no. : 84-94.
In this paper, an Industry 4.0 oriented architecture of a manufacturing scheduling decision support system is provided. This proposal is based on an analysis performed about some other decision support systems architectures found in the literature and based on another analysis that was carried out regarding the results obtained through a questionnaire distributed through a wide set of enterprises in the Iberian Peninsula. This analysis did enable us to realize that the main characteristics considered fundamental to be integrated into the prosed manufacturing scheduling decision support system were, in fact, of upmost importance, within the current Industry 4.0 requirements. Moreover, the main characteristics proposed for integrating the manufacturing scheduling decision support system’s architecture presented were also used to establish a comparative analysis between the proposed system’s architecture and the ones analyzed from the literature. Besides, through this analysis, it was possible to realize that none of the architectures analyzed from the literature covered the whole set of important I4.0 oriented characteristics proposed.
Leonilde Varela; Vaibhav Shah; Aurélio Lucamba; Adriana Araújo; José Machado. An Intelligent Scheduling System Architecture for Manufacturing Systems Based on I4.0 Requirements. Recent Advances in Computational Mechanics and Simulations 2021, 262 -274.
AMA StyleLeonilde Varela, Vaibhav Shah, Aurélio Lucamba, Adriana Araújo, José Machado. An Intelligent Scheduling System Architecture for Manufacturing Systems Based on I4.0 Requirements. Recent Advances in Computational Mechanics and Simulations. 2021; ():262-274.
Chicago/Turabian StyleLeonilde Varela; Vaibhav Shah; Aurélio Lucamba; Adriana Araújo; José Machado. 2021. "An Intelligent Scheduling System Architecture for Manufacturing Systems Based on I4.0 Requirements." Recent Advances in Computational Mechanics and Simulations , no. : 262-274.
This paper presents a portable passwords manager which has a two-stage biometric-based access procedure. Data security using biometric methods was chosen as a variant of reduced complexity but was very effective in preventing cyber theft. The implementation of biometrics for the purpose of identification in high-security systems has become essential with the evolution of technology and the spike in identity theft. Unlike passwords or IDs, a biometric feature is an identifier that cannot be lost, stolen, or replicated, which provides biometric authentication systems with an increased level of security. During the first accessing step, the 3DPassManager portable device measures the heartbeat and uses fingerprint and iris features to realize a unique biometric-based authentication. While the specific characteristics of fingerprint and iris features are integrated to ensure that the person using the device is the rightful owner, the pulse is utilized to verify if previously acquired static images are not used. During the second accessing step, a password is generated based on fingerprint details, valid only for a small-time interval. The fingerprint is stored in a secret key with a 1024-bit length. Once access is allowed, the passwords are made available through an extension installed on the web browser. The device is the size of a cigarette pack and communicates with the PC by scanning a QR code. It is safe and was previously tested for dictionary and brute force attacks.
Camelia Avram; Jose Machado; Adina Aştilean. Hardware Passwords Manager Based on Biometric Authentication. Engineering Proceedings 2021, 6, 31 .
AMA StyleCamelia Avram, Jose Machado, Adina Aştilean. Hardware Passwords Manager Based on Biometric Authentication. Engineering Proceedings. 2021; 6 (1):31.
Chicago/Turabian StyleCamelia Avram; Jose Machado; Adina Aştilean. 2021. "Hardware Passwords Manager Based on Biometric Authentication." Engineering Proceedings 6, no. 1: 31.
Cork-rubber composites are materials that can be used in different applications ranging from industry to construction sectors. One of its applications is building vibration isolation. One of the principal requirements in the design of these materials is the capacity of supporting static compressive loads. In this study, based on the shape factor and hardness Shore A of a cork-rubber block, the application of artificial neural networks methodology, for the prediction of apparent compression modulus, was evaluated. A large database with compression test results was used for the training and testing of neural networks. Using the early stopping method, several studies were performed regarding artificial neural networks architecture and training: the number of neurons on the hidden layer, change of training parameters and dataset division method. Neural networks with three neurons on the hidden layer proved to be more efficient without overfitting and presented a good correspondence between predicted and measured results. The use of different methods to divide the dataset through different development stages also influences the model performance. A comparison of performance with other models available in the literature revealed that the chosen ANN model proved, in most cases, to have a better performance regarding these materials.
Helena Lopes; Susana P. Silva; José Machado. Application of artificial neural networks to predict mechanical behaviour of cork-rubber composites. Neural Computing and Applications 2021, 1 -10.
AMA StyleHelena Lopes, Susana P. Silva, José Machado. Application of artificial neural networks to predict mechanical behaviour of cork-rubber composites. Neural Computing and Applications. 2021; ():1-10.
Chicago/Turabian StyleHelena Lopes; Susana P. Silva; José Machado. 2021. "Application of artificial neural networks to predict mechanical behaviour of cork-rubber composites." Neural Computing and Applications , no. : 1-10.
I4.0 concepts allow a very important approach concerning improving competitiveness of modern industry and services in several domains of economic activity. Maintenance of cyber-physical systems is an important issue that can be crucial for the availability of those systems for developing their activities in a standard way, with respective desired behavior. With the most recent evolution of methodologies and available tools, e-maintenance is a concept that has been evolved in last years, and the use of this approach is of the utmost importance for the competitiveness of companies at several levels. In this chapter, the authors highlight the benefits of using an e-maintenance approach for the success of maintenance of cyber-physical systems, mainly when, on those systems, it is critical to keep and assure the reliability of respective behavior. For this purpose, a robot, as an illustration example, is used, and some conclusions are obtained concerning this global overview and proposed approach.
Pierluigi Rea; Erika Ottaviano; José Machado; Katarzyna Antosz. A General Overview of E-Maintenance and Possible Applications. Advances in Systems Analysis, Software Engineering, and High Performance Computing 2021, 196 -218.
AMA StylePierluigi Rea, Erika Ottaviano, José Machado, Katarzyna Antosz. A General Overview of E-Maintenance and Possible Applications. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2021; ():196-218.
Chicago/Turabian StylePierluigi Rea; Erika Ottaviano; José Machado; Katarzyna Antosz. 2021. "A General Overview of E-Maintenance and Possible Applications." Advances in Systems Analysis, Software Engineering, and High Performance Computing , no. : 196-218.
Cyber physical systems (CPS) are known as one of the significant advancement in computer science and IT. Cyber physical manufacturing system is the emerging research area in the field of computer science as well as manufacturing science and technology which is promoting the 4th industrial revolution which is known as Industrie 4.0. CPS generally focuses on the integration of physical world with cyberspace. It is the integration of communication, computation, control and physical elements. At present time, CPS is the point of interest for academia, government and industries. However, a systematic literature review of cyber physical system for manufacturing system is not available. This paper aims to present the findings on cyber physical systems on manufacturing systems and development of cyber physical system for intelligent manufacturing. The CPS is explained with the concept of CPS and five level architecture system for manufacturing systems. Further, key enabling technologies for cyber physical manufacturing systems is also discussed. In this paper both WoS and Scopus databases (2000-2020) is taken in consideration for literature review. Top journals, top cited papers, top authors and top research categories have been found out.
Anbesh Jamwal; Rajeev Agrawal; Vijaya Kumar Manupati; Monica Sharma; Leonilde Varela; José Machado. Development of cyber physical system based manufacturing system design for process optimization. IOP Conference Series: Materials Science and Engineering 2020, 997, 012048 .
AMA StyleAnbesh Jamwal, Rajeev Agrawal, Vijaya Kumar Manupati, Monica Sharma, Leonilde Varela, José Machado. Development of cyber physical system based manufacturing system design for process optimization. IOP Conference Series: Materials Science and Engineering. 2020; 997 (1):012048.
Chicago/Turabian StyleAnbesh Jamwal; Rajeev Agrawal; Vijaya Kumar Manupati; Monica Sharma; Leonilde Varela; José Machado. 2020. "Development of cyber physical system based manufacturing system design for process optimization." IOP Conference Series: Materials Science and Engineering 997, no. 1: 012048.
Like other types of elastomers, different geometries of the same cork–rubber material present different mechanical behaviour when subject to compression between bonded plates. To validate the application of Hooke’s Law on cork–rubber materials, under compression at small strains, a set of experimental and numerical analyses has been conducted. Using finite element analysis, a methodology is described to relate frictionless and frictional compression between a cork–rubber sample and loading plates. Based on that, the performance of square cross-section blocks with other dimensions can be evaluated. The results obtained by this approach showed a good agreement with experimental compression tests and with outputs from other models available in the literature relating Young and apparent compression moduli.
Helena Lopes; Susana Silva; José Machado. Analysis of the Effect of Shape Factor on Cork–Rubber Composites under Small Strain Compression. Applied Sciences 2020, 10, 7177 .
AMA StyleHelena Lopes, Susana Silva, José Machado. Analysis of the Effect of Shape Factor on Cork–Rubber Composites under Small Strain Compression. Applied Sciences. 2020; 10 (20):7177.
Chicago/Turabian StyleHelena Lopes; Susana Silva; José Machado. 2020. "Analysis of the Effect of Shape Factor on Cork–Rubber Composites under Small Strain Compression." Applied Sciences 10, no. 20: 7177.
Recent manufacturing systems did not just confine to optimal utilization of resources due to the global stance on strict environmental regimes. Collaborative effort to achieve sustainable practices in the decentralized manufacturing environment is a new complex problem. In this paper, with a networked manufacturing system we try to achieve both traditional as well as sustainable parameters by optimizing the performances such as makespan, machine utilization, and energy consumption. Thereafter, we formulate the problem as a mixed-integer non-linear programming (MINLP) model. To handle this NP-hard problem and to find the optimal solutions a Controlled elitist non-dominated sorting genetic algorithm (CE-NSGA-II) has been adopted. Finally, the results are analyzed with different scenarios to prove the proposed approach validation.
Veera Babu Ramakurthi; V. K. Manupati; Leonilde Varela; José Machado. Energy Efficient Network Manufacturing System Using Controlled Elitist Non-dominated Sorting Genetic Algorithm. Proceedings of International Conference on Big Data, Machine Learning and Applications 2020, 188 -206.
AMA StyleVeera Babu Ramakurthi, V. K. Manupati, Leonilde Varela, José Machado. Energy Efficient Network Manufacturing System Using Controlled Elitist Non-dominated Sorting Genetic Algorithm. Proceedings of International Conference on Big Data, Machine Learning and Applications. 2020; ():188-206.
Chicago/Turabian StyleVeera Babu Ramakurthi; V. K. Manupati; Leonilde Varela; José Machado. 2020. "Energy Efficient Network Manufacturing System Using Controlled Elitist Non-dominated Sorting Genetic Algorithm." Proceedings of International Conference on Big Data, Machine Learning and Applications , no. : 188-206.
Production activity control approaches, methods, and mechanisms have been widely applied over the last decades, and continue to be of utmost importance nowadays, within the context of the currently fast-growing Industry 4.0 era. In this paper, a Simio-based simulation model is proposed and its application in a printing factory is illustrated. The main aim of this work consists of providing general production planning improvements in the considered factory, with a special focus on the reduction of setup time. The proposed model is based on several distinct production activity control mechanisms, for instance, the CONWIP and the Routing Group mechanisms from Simio, which did enable to reach good improvements regarding a set of performance measures considered, including machines’ setup time reduction, along with the maximization of the percentage of products delivered on time. Future work is also planned to be carried out to improve other kinds of performance measures, and by using other types of production activity control mechanisms, to be further applied in other industrial companies and sectors.
José Pedro Vaz; Leonilde Varela; Bruno Gonçalves; José Machado. Production Planning and Setup Time Optimization: An Industrial Case Study. Recent Advances in Computational Mechanics and Simulations 2020, 220 -230.
AMA StyleJosé Pedro Vaz, Leonilde Varela, Bruno Gonçalves, José Machado. Production Planning and Setup Time Optimization: An Industrial Case Study. Recent Advances in Computational Mechanics and Simulations. 2020; ():220-230.
Chicago/Turabian StyleJosé Pedro Vaz; Leonilde Varela; Bruno Gonçalves; José Machado. 2020. "Production Planning and Setup Time Optimization: An Industrial Case Study." Recent Advances in Computational Mechanics and Simulations , no. : 220-230.
Production environments are becoming more complex and dynamics. This is influenced by external factors related with products’ characteristics and costumers’ requirements and internal factors related with processing times variability, machine failures, setup times, between others. To face this increasing complexity and dynamics, it is crucial to have effective production control methods, considering Interoperability Enablers for Cyber-Physical Systems. However, production control methods most in used today, are focused on centralised decision-making and planning, and considered inadequate to deal with the increasing dynamics of these systems. Autonomous Production Control (APC) may be an adequate alternative to face this complexity, allowing flexible and rapid reaction to possible disturbances that may occur in the production system. However, as APC is the relatively new concept, there are no existing surveys. Therefore, we review and discuss the literature on APC methods to bring more attention to this promising topic of research, highlighting future research directions.
Luis Martins; Maria L. R. Varela; Nuno O. Fernandes; Sílvio Carmo–Silva; José Machado. Literature review on autonomous production control methods. Enterprise Information Systems 2020, 14, 1219 -1231.
AMA StyleLuis Martins, Maria L. R. Varela, Nuno O. Fernandes, Sílvio Carmo–Silva, José Machado. Literature review on autonomous production control methods. Enterprise Information Systems. 2020; 14 (8):1219-1231.
Chicago/Turabian StyleLuis Martins; Maria L. R. Varela; Nuno O. Fernandes; Sílvio Carmo–Silva; José Machado. 2020. "Literature review on autonomous production control methods." Enterprise Information Systems 14, no. 8: 1219-1231.
In the framework of this paper, we aimed to propose a methodology for giving baths to elderly, bedridden persons, when this task is performed by a single caregiver. Usually, two caregivers are required for nursing a bedridden patient, especially when certain important tasks are needed (e.g., bathing the patient), but this is not always possible. The entire study considers the primary user’s perspective—the caregiver—who is responsible for a wide range of tasks; thus, suffering physical and psychological exhaustion over time. A physical prototype has been developed for allowing caregivers to perform tests in a life-like environment, by means of the device and the methodology. This technology, therefore, will represent an important contribution to the quality of life of caregivers. Considering an increase in the share of the elderly population and the related problems that arise in daily care, this project intends to be beneficial contemporarily. The presented methodology has been successfully tested and validated.
Karolina Bezerra; José Machado; Vítor Carvalho; Filomena Soares; Demétrio Matos; Marcelo Castro; Filipe Pereira; Hugo Lopes. A New Methodology for Use by a Single Caregiver to Bathe Bedridden Elderly Persons Using Advanced Mechatronic Systems. Healthcare 2019, 7, 124 .
AMA StyleKarolina Bezerra, José Machado, Vítor Carvalho, Filomena Soares, Demétrio Matos, Marcelo Castro, Filipe Pereira, Hugo Lopes. A New Methodology for Use by a Single Caregiver to Bathe Bedridden Elderly Persons Using Advanced Mechatronic Systems. Healthcare. 2019; 7 (4):124.
Chicago/Turabian StyleKarolina Bezerra; José Machado; Vítor Carvalho; Filomena Soares; Demétrio Matos; Marcelo Castro; Filipe Pereira; Hugo Lopes. 2019. "A New Methodology for Use by a Single Caregiver to Bathe Bedridden Elderly Persons Using Advanced Mechatronic Systems." Healthcare 7, no. 4: 124.
Rigid-rocker shoes may induce gait instability in diabetics, however, this is not clearly investigated. The present study investigates if rigid-rocker shoes influence diabetic gait stability. Fourteen non-neuropathic and nine neuropathic diabetics, plus eleven healthy young-adults were recruited. Full-body kinematic data was captured during walking. Experimental conditions included barefoot and three rocker-shoe designs according to the rocker angle, apex angle and apex position (R10: 10°, 80°, 60%; R15: 15°, 95°, 52%; R20: 20°, 95°, 60%). Sagittal and frontal stability margin, plus fear of fall were main outcome measures. Sagittal stability margin was not affected by health, however, was increased with R10 and R15 in non-neuropathic diabetics and healthy individuals (R2 = 0.16). Variability of sagittal stability margin was not altered in neuropathic diabetics, but was increased with R15 and R20 in healthy participants, with R15 in non-neuropathic diabetics (R2 = 0.12). Frontal stability margin (R2 = 0.46) and its variability (R2 = 0.39) were significantly increased in neuropathic and non-neuropathic diabetics compared to healthy individuals. Frontal stability margin was significantly higher with R15 in neuropathic diabetics, and with R20 in both non-neuropathic and healthy participants. Sagittal and frontal stability margin were strongly correlated with fear of fall in neuropathic diabetics. R15 and R20 might challenge gait stability of diabetics cause them restrict centre of mass motion thereby imposing a tighter control over walking. However, neuropathic diabetics generally walk very cautious due to neuropathy and increased fear of fall. Frontal stability margin, highly affected by health and experimental condition, is a more sensitive indicator of gait stability.
Banafshe Ghomian; Roozbeh Naemi; Sina Mehdizadeh; Hassan Jafari; Ismael Ebrahimi Takamjani; Rokhsareh Aghili; José Mendes Machado; Luís Fernando Sousa Ferreira Silva; Hassan Saeedi. Gait stability of diabetic patients is altered with the rigid rocker shoes. Clinical Biomechanics 2019, 69, 197 -204.
AMA StyleBanafshe Ghomian, Roozbeh Naemi, Sina Mehdizadeh, Hassan Jafari, Ismael Ebrahimi Takamjani, Rokhsareh Aghili, José Mendes Machado, Luís Fernando Sousa Ferreira Silva, Hassan Saeedi. Gait stability of diabetic patients is altered with the rigid rocker shoes. Clinical Biomechanics. 2019; 69 ():197-204.
Chicago/Turabian StyleBanafshe Ghomian; Roozbeh Naemi; Sina Mehdizadeh; Hassan Jafari; Ismael Ebrahimi Takamjani; Rokhsareh Aghili; José Mendes Machado; Luís Fernando Sousa Ferreira Silva; Hassan Saeedi. 2019. "Gait stability of diabetic patients is altered with the rigid rocker shoes." Clinical Biomechanics 69, no. : 197-204.
Production Activity Control (PAC) is fundamental to Production Management, since it allows for meeting deadlines, ensuring product quality and reducing production costs. For these reasons, it is essential for the improvement of enterprise performance to understand the production system and its integrated parts. Another production concept linked to the efficiency of enterprise performance is Industry 4.0. This is the most recent revolution of industry and one of its main goals are related with the integration of production activity control by using information technologies. The objective of this project is to implement three different mechanisms of Production Activity Control in a Flexible Flow Shop (FFS), composed of three stages with three parallel machines each. The mechanisms implemented are Workload Control (WLC), Generic Kanban System (GKS) and Drum-Buffer-Rope (DBR), and all are associated with a make-to-order (MTO) production. Additionally, three independent machine selection criteria are evaluated: Random, Load Hours and Load Units. Simio software is used for the simulation of the production system and results are given by diverse Key Performance Indicators (KPIs). After completing simulations, it can be concluded that DBR is the mechanism of PAC with the best performance for the studied scenarios. However, the scenario with the smallest value of load norm is compromising the performance of WLC. Otherwise, this mechanism would be the one with the best performance. Regarding the machine selection criteria, Load Hours is the criterion with the best performance for almost all the KPIs.
Daniela Costa; Mariana Martins; Susana Martins; Eduarda Teixeira; Andreia Bastos; Ana Rita Cunha; Leonilde Varela; José Machado. Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0. Sustainable Smart Cities and Territories 2019, 82 -103.
AMA StyleDaniela Costa, Mariana Martins, Susana Martins, Eduarda Teixeira, Andreia Bastos, Ana Rita Cunha, Leonilde Varela, José Machado. Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0. Sustainable Smart Cities and Territories. 2019; ():82-103.
Chicago/Turabian StyleDaniela Costa; Mariana Martins; Susana Martins; Eduarda Teixeira; Andreia Bastos; Ana Rita Cunha; Leonilde Varela; José Machado. 2019. "Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0." Sustainable Smart Cities and Territories , no. : 82-103.
Integrated process planning and scheduling in networked manufacturing systems plays a crucial role nowadays and in the forthcoming context of Industry 4.0 to enable effective and efficient decisions, and to improve the business market, based on collaboration, along with computer-based distributed manufacturing and management functions. In this paper some insights regarding a literature review carried out about this main subjects analysed are presented and discussed. Moreover, a framework for integrated process planning and scheduling in networked manufacturing systems is proposed and briefly described, along with some main underlying issues, which are further discussed. Thus, the main purpose of this research consists on presenting a proposed methodology, based on the study conducted, to enable to further assist either academia or industry to develop new tools, techniques and approaches for integrated process planning in networked manufacturing environments. The findings and contributions of this research can help in the implementation and improvement in distributed manufacturing environments, to be linked with small and medium enterprises, to further expand their potentialities through well suited integrated process planning and scheduling decision making processes.
Maria Leonilde Varela; Goran D. Putnik; Vijay K. Manupati; Gadhamsetty Rajyalakshmi; Justyna Trojanowska; José Machado. Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal. Wireless Networks 2019, 27, 1587 -1599.
AMA StyleMaria Leonilde Varela, Goran D. Putnik, Vijay K. Manupati, Gadhamsetty Rajyalakshmi, Justyna Trojanowska, José Machado. Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal. Wireless Networks. 2019; 27 (3):1587-1599.
Chicago/Turabian StyleMaria Leonilde Varela; Goran D. Putnik; Vijay K. Manupati; Gadhamsetty Rajyalakshmi; Justyna Trojanowska; José Machado. 2019. "Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal." Wireless Networks 27, no. 3: 1587-1599.
Mass customization is the most current production paradigm in organizations that depend heavily on the demands of their customers and with the ambition to stand out from the high competition in the market. However, given the increasing diversity of products that this type of production implies, implementing it in a company involves challenges, mainly in the Product Data Management (PDM). Thus, information technology and systems, more specifically Enterprise Resource Planning (ERP), are other determining factors for the success of organizations, allowing them to be more efficient through the integration of information. In response to a better functioning in the production planning and control (PPC), with the increasing expansion, the company Be Stitch directed the production of textile articles for the home market, and decided to innovate investing in an information system, allowing to adapt the way in which it operates and generates the required PPC information. With the phases of analysis, selection and survey of requirements carried out for the initial phase, the present project appeared as a follow-up to develop a software—Silex—being presented and specified the main functionalities needed, implemented and tested. After being developed and implemented in the company, this software has shown an improvement in the flow of information and is very beneficial in cases where the information is not centered in a certain point, as is the case of Be Stitch, which has streamlined and improved the communication between them.
Susana Martins; Maria Leonilde Rocha Varela; José Machado. Development of a System for Supporting Industrial Management. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2019, 209 -215.
AMA StyleSusana Martins, Maria Leonilde Rocha Varela, José Machado. Development of a System for Supporting Industrial Management. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2019; ():209-215.
Chicago/Turabian StyleSusana Martins; Maria Leonilde Rocha Varela; José Machado. 2019. "Development of a System for Supporting Industrial Management." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 209-215.