An international consumer goods industry, whose main product is a three-piece tin plate aerosol can, is facing a similar challenge to improve the quality of its products. Although the industry is producing aerosol cans with a quality already above the international rules and regulations, customers are always in the quest of even higher quality and defect free products. This situation accounts for high financial costs and dissatisfied clients, compromising in the long run the dominant position of this manufacturer worldwide. Solving this problem is a big challenge for this company, not only due to the high production rates of assembly lines, but also due to the low cost of the final product. Several available and renowned quality improvement methodologies for the diagnosis and control of different manufacturing processes are usually at the basis of any quality improvement actions. This research proposes a new methodology by applying Systems Engineering approaches for quality improvement based on a real-industrial case. In fact, and according to the literature review, applications of System Engineering tools in quality improvement problems has not been attempted so far, being one of the research gaps that this work attempts to address.
Abstract —Aircraft software systems are categorized as safety critical systems. This is due to them being employed in high-risk tasks that require rigorous development methodologies to assure their integrity. Designing these systems require: 1) thorough understanding of their requirements, 2) precise and unambiguous specifications, and 3) metrics to verify and validate the quality of software produced. Safety critical aviation systems must adhere to standards such as the RTCA DO-178C in order to be acceptable by regulatory agencies. The DO-178C focuses on all aspects of round trip software engineering. This paper outlines a software engineeringmethodology that is model-based and incorporates formal specification techniques towards being DO-178C compliant.
This article describes an ongoing research project that, at the current stage, raised the importance of analyzing research methods reported in the scientific methodology literature for the specific elaboration of engineering projects. Based on the assumption that there are more suitable research methods for the exercise of engineering research, the project presents the following problem: “What are the most effective research methods, available in the research methodology literature, for carrying out research projects? in engineering? ”It appears that the research methodology literature is generic with regard to which sciences can apply it and, therefore, it intends to attend research projects in any and all areas of study. In this sense, it was perceived at this stage of the project the need to look for more specific methods to engineering, in view of its character of seeking the application of science in solving practical problems
The present research work by using Petri nets for the engineering of service-oriented automation systems offer several novel aspects that already were reviewed by international committees (see e.g. the SOCRADES project at http://www.socrades.eu) and recent disseminations. Note that the aspects discussed here are part of the individual research work used in the context of the project. From the SoA side, it is well known that it represent a future trend in the automation and production world, but from the software engineering and also end-user perspective, integrated solutions are missing. As such, the research work focus on a Petri net based solution for those systems, for the design, analysis and also operation. Contributions are in a form of an open methodology for developing custom and feature-full Petri net applications and control solutions, an engineering process based on Petri nets and several runtime features such as distributed orchestration, composition and active conflict resolution.
Recently, almost organizations have their own Knowledge Management strategies. These KM strategies lead to the development of software projects. One of the well known Data and Knowledge Engineering Technology (DKET) for implement these systems is Artificial Intelligent (AI). Among the serious competition in the business organizations and other organizations, the important data, information, knowledge and wisdom are required to support the business activities such as Customer Management, Research and Development, Supply Chain Management, Enterprise Resource Planning, Production Life Cycle management process etc to be the Business intelligent organization. Before constructing these systems, Knowledge Management strategies are planed and informed to the related people for operating following the defined Knowledge Management Processes. The process to transform data to information or information to knowledge or knowledge to wisdom needs Systematic Thinking and DKET to design framework or methodology and generate the outputs also especially, Web-Knowledge-Based System.
This paper presents an analysis of the application of the Design Thinking methodology in the Introduction to Engineering discipline in order to integrate the areas of knowledge - Design and Engineering - and achieve innovation in the process of developing new projects. Design Thinking is a methodology for solving complex problems using and applying Design tools, centering the process on people and their needs through associative reasoning and analytical thinking. By decentralizing Design practice from the hands of specialized professionals - in this case Designers - it is an approach that allows its principles to be adopted by people working in various professional areas - such as Engineering, for example. As object of study of the research was approached the Project “OpenFab”, integrated to the discipline Introduction to Engineering, taught during the 1st semester of 2018 to the students of the 1st series of Engineering courses of Instituto Mauá de Tecnologia. The aim of this study is to observe the development process of an Engineering project using a Design methodology, analyzing its effects and impacts as a teaching strategy in the students learning, at the beginning of the course, considering the dimensions related to the technical-scientific competences. and possible and existing interdisciplinary knowledge
Complementing the main goals referred above, the course also promotes students’ teamwork skills, personal responsibility and criticism, through the preparation of lab activities, short presentations and reports, as well as exercising their self-organizing, conflict-solving capabilities and, if possible, implementing some practice in self 'learning-through-teaching'. Nowadays, these goals are among those recognized as being of great importance in students training for their future engineering environment, [1, 2]. The following sections will describe some aspects of contents and classes, the assessment methodology and results during the last 4 years. At last, comments from some students and from the school’s psychologist are listed.
For the purposes of this work, analysis will be performed on the use of the problem solving methodology because it aims to develop metacognitive abilities, favoring reflection and questioning by apprentices (Mendes, 2009), allowing an approach to non-mathematical problems without the use of techniques or application of algorithms (Caraça, 1989), developing critical reasoning (Lupinacci and Botin, 2004), boosting comprehension and deduction coherently, making students responsible for their own knowledge (Ferreira, Silva, Nunes, 2015), all useful skills for future engineering professionals.
In a complex hospital environment, where in many cases the demands for a quality in Clinical Engineering are high and resources are low, it is important to apply tools that can assist at improving services provided by clinical engineering’s professionals. Thus, this paper aims to apply the QFD methodology as an aid tool in planning the quality of service provided by the clinical engineering team of Onofre Lopes University Hospital, with the intention of proposing improvements to be included in future planning. Initially, this research aims to discover the main needs of healthcare professionals that use services provided by the clinical engineering team, by reviewing articles on quality at hospitals environments. The target sectors of this research were chosen using as criteria the highest number of work orders (OS) generated and criticality of equipment. It is also object of study to analyze the level of satisfaction and importance that the employees of the studied sectors attribute to the clinical engineering sector. This study was conducted through semi- structured interviews, which were granted by the heads and coordinators of each sector. After completing the previous step, the quality house was built starting with translating users' needs into design requirements, and then correlating existing design requirements with finding out which design requirement is of highest relevance to meet customer needs. In the end, it will be possible to generate data that can be interpreted efficiently by the clinical engineering team, thus identify which points are working as expected and which need to be analyzed more closely in future strategic planning.
The Reverse Engineering process starts with point cloud data being extracted from the physical object by scanning the model followed by mesh generation and fitting of the surfaces to the model to create the exterior skin of the 3D geometric element . Numerous factors need to be taken into account when generating surfaces over the polygonal model such as the level of accuracy and quality desired for the final CAD model. In the automotive industry and other similar industries, a perfect visual surface finish with very smooth lines and contours is to
1.1 Reliability vs. Quality. Quality and Reliability are two major concerns in the engineering industry, especially for manufacturing and civil engineering. Quality relates to a product or structure’s initial performance when new, while reliability relates to performance over its lifetime. Over the years many industrial standards and evaluation systems have been built relating to quality, such as Six Sigma, ISO 9000, the Malcolm Baldrige National Quality Award and the Deming Prize. The American Society for Quality (ASQ) has garnered well over 150,000 members and continues to grow in strength. By comparison reliability is fairly neglected; the Institute for Reliability Engineering languishes is near obscurity. However, for the end customer reliability is equally, if not more important than quality because of future maintenance costs and the consequences of potential failures in today’s large, complex systems.
along the course, allied to research and extension, with an emphasis on better teaching. The present research aims to evaluate the satisfaction and effectiveness that the discipline brings to the students, if the same fulfilled its role, aiming for a continuous improvement in its methodology. For that, a questionnaire with an investigative character and a quantitative and qualitative descriptive approach was elaborated, it was possible to conclude with the analysis of the results that the discipline can motivate and at the same time be a differential in the methodology of teaching.
PKO+ is indeed a good methodology for a cost saving project with high targets and with long term duration. During the firsts months of the creation of the Project House, it has been noted by the team members and the top management that this is the way MAN wants to continue working on PKO+. Having all the departments involved in a single room, such as, engineering, purchasing, quality, controlling, logistics and production, is helping to move forward in a faster manner and in an effective way. It is clear that the process is being aligned naturally since the whole process is now transparent and reliable.
For the numerical simulation of the conservation equa- tions of mass and momentum, a commercial code based on the FVM is employed . The solver is pressure- based and all simulations were performed using ‘up- wind’ and PRESTO for spatial discretizations of momen- tum and pressure, respectively. The velocity-pressure cou- pling is performed by the PISO method, while the GEO- RECONSTRUCTION method is employed to tackle with the volumetric fraction. Moreover, under-relaxation factors of 0.3 and 0.7 are imposed for the conservation equations of continuity and momentum, respectively. More details con- cerning the numerical methodology can be obtained in the works of Versteeg and Malalasekera  and Patankar . The numerical simulations were performed using a com- puter with two dual-core Intel processors with 2.67 GHz clock and 8 GB ram memory. It used Message Passing Inter- face (MPI) for parallelization. The processing time of each simulation was approximately two hours.
This work is organized as follows: The motivation introduces the relevance of IGZO-TFT technology and the importance of developing compact models to open doors for this technology to flourish in new applications; It is followed by the introduction where it is explained how device modelling came to be, what are compact models and how they are subdivided, small signal in three terminal devices and lastly the state of the art in TFT modelling. Chapter 2 explains the overall work-flow and methodology used in this project. Chapters 3 and 4 describe each of the studies. Chapter 3 includes the procedure for parameter extraction followed by the model representation. Chapter 4 includes all the work done on the development of the small signal model. Finally, Chapter 5 summarizes all the work done on TFT compact modelling, moreover some future ideas are presented.
The creation of a product’s lexicon is a complex task that begun with Arthur D. Little during 1940s . He started with the Flavour Profile Method  that consisted in a tool for flavour characterization of complex products using a group of trained panellists (panel), replacing the use of a single taster expert . This technique was later improved and replaced by the Texture Profile Method  which is used in order to evaluate the levels of “mechanical, geometric, fat and moisture characteristics of a food” . Next, these two gave place to the Spectrum Descriptive Analyses (SDA) which involves the creation of absolute intensity references and provides more discrimination points . Note that, the use of an absolute scale conducted to a solid evaluation among panels. The Tragon Quantitative Descriptive Analyses method (Tragon QDA) uses a language based on the consumers usage which means that does not use standardized terms between panels. So, each panel creates its own language . For this reason, this methodology causes some disagreements when a high level of training is needed . In addition, it does not usually use intensity references, as well as SDA does, but both use qualitative references .