Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

Improved Quality and Reliability in Telecommunication Network Testing by means of a Remote Online Test System

Increasing demand for high quality and reliable operation of the telecommunication network services and its applications have been the main challenges of the telecommunication network providers in the last decade. In this paper, a remote online testing facility (Intact – Intelligent Test Automation and Configuration Tool) is introduced that proposes a solution for telecommunication network providers to meet demands and to ensure business services as well as network related services (circuit switched and packet switched) operate efficiently. This paper presents a particular solution of remote testing based on the automated functional “End to End” testing approach. “End to End” starts by configuring service properties, subscriber record and service logic on one hand. On the other hand several hundred call scenarios can be executed fully automatically. Moreover the call detail records written by the network elements are verified automatically too. Hence a test description and web automation language was developed which is very easy to learn. This testing approach improves test speed and quality leading to reduced risk and investment on test procedure. As a result, the proposed solution of a remote automated online test system aims to overcome higher cost, longer time to market periods and increased effort in testing

A Model of Global Cooperation to Enable Intelligent Metrology Applications by Means of an Integrated Teleoperation System

Today’s advanced production industry faces challenges of increasing quality and competition requirements in the global market. The new aspects of cooperation between the production industry and metrology laboratories enable a development capacity providing an information highway and expertise exchange by accommodating rising demand of services. This paper proposes a novel approach to develop a global network on two different continents that will moreover be a model for the industry without any limits of location, time difference or facility. Due to the high cost of special infrastructure, equipment and expertise for production of complex components, this study also proposes a strategic approach to develop a remotely controlled high precision metrology system with high accuracy as well as with the smallest measurement uncertainties for the micro- and nanotechnologies and intelligent integrated management system applicable in advanced manufacturing industry. This will provide a roadmap for the industrial applications as well as in educational organizations with the developed and integrated low-cost telepresence and teleoperation system

The relationship between the quality engineering and taguchi methodology

Quality engineering is an interdisciplinary science which is concerned with not only producing satisfactory products for customers but also reducing the total loss. Quality engineering involves engineering design, process operations, after-sales services, economics and statistics. Although the Taguchi Robust Design is the first concept comes to mind when thinking of quality engineering, the definition of this major has been used in different manners in the literature. There are also differences on the definition of the quality which has been made by experts. The aim of this study is to contribute to the literature to avoid deviations on definition of the concept of "Quality Engineering", which has not been defined yet by ISO Standards Institute

Revolutionizing the Garment Industry 5.0: Embracing Closed-Loop Design, E-Libraries, and Digital Twins

This study presents an innovative approach for modernizing the garment industry through the fusion of digital human modeling (DHM), virtual modeling for fit sizing, ergonomic body-size data, and e-library resources. The integration of these elements empowers manufacturers to revolutionize their clothing design and production methods, leading to the delivery of unparalleled fit, comfort, and personalization for a wide range of body shapes and sizes. DHM, known for its precision in representing human bodies virtually and integrating anthropometric data, including ergonomic measurements, enhances the shopping experience by providing valuable insights. Consumers gain access to the knowledge necessary for making tailored clothing choices, thereby enhancing the personalization and satisfaction of their shopping experience. The incorporation of e-library resources takes the garment design approach to a data-driven and customer-centric level. Manufacturers can draw upon a wealth of information regarding body-size diversity, fashion trends, and customer preferences, all sourced from e-libraries. This knowledge supports the creation of a diverse range of sizes and styles, promoting inclusivity and relevance. Beyond improving garment fit, this comprehensive integration streamlines design and production processes by reducing the reliance on physical prototypes. This not only enhances efficiency but also contributes to environmental responsibility, fostering a more sustainable and eco-friendly future for the garment industry and embracing the future of fashion, where technology and data converge to create clothing that authentically fits, resonates with consumers, and aligns with the principles of sustainability. This study developed the mobile application integrating with the information in cloud database in order to present the best-suited garment for the user

The Importance of Quality Control within the Relationship between the Quality Engineering and Taguchi Methodology

© (2015) Trans Tech Publications, Switzerland.Nowadays there is a strong relationship between the quality control and quality engineering in the modern advanced manufacturing. Quality engineering is an interdisciplinary science which is concerned with not only producing satisfactory products for customers but also reducing the total loss. Quality engineering involves engineering design, process operations, aftersales services, economics and statistics. Although the Taguchi Robust Design is the first concept comes to mind when thinking of quality engineering, the definition of this major has been used in different manners in the literature. There are also differences on the definition of the quality which has been made by experts. The aim of this study is to contribute to the literature to avoid deviations on definition of the concept of "Quality Engineering", which has not been defined yet by ISO - International Organization for Standardization. This study pointed out that the process of quality control is a part of on-line quality engineering rather than off-line phase and tries to ensure planned and/or improved values are satisfied during mass production

Interaction between capability indices and skewness of nonnormal processes using quantile based estimation and Johnson transformation

Many process capability indices have been developed for non-normal process but there has been little research about the skewness nowadays. The aim of this research work is to investigate the interaction between capability indices and skewness by using three estimation methods like conventional, Johnson transformation, and quantile based methods to take into consideration symmetrical and non-symmetrical parameter of different kind of distributions such as gamma- and skew t-distribution. To demonstrate the interaction between skewness and process capability indices Cp, and Cpk, the random data of size 100 for data sets of gamma- and skew t-distribution for skewness ranging from 0.5, 1.0, 1.5, 1.8 to 2.0 has been generated by using of MINITAB15. Obviously, it is seen that for the skewness parameters of the different distributions, estimation of both the gamma- and skew tdistribution by calculating three techniques are decreasing after the "skewness parameter 1.8". Furthermore, the main findings indicated that the skewness of the distributions have a significant influence on the methods to compute the process capability indices, therefore on the improvement of the manufacturing process, respectively

The importance of quality control within the relationship between the quality engineering and Taguchi methodology

© (2015) Trans Tech Publications, Switzerland.Nowadays there is a strong relationship between the quality control and quality engineering in the modern advanced manufacturing. Quality engineering is an interdisciplinary science which is concerned with not only producing satisfactory products for customers but also reducing the total loss. Quality engineering involves engineering design, process operations, aftersales services, economics and statistics. Although the Taguchi Robust Design is the first concept comes to mind when thinking of quality engineering, the definition of this major has been used in different manners in the literature. There are also differences on the definition of the quality which has been made by experts. The aim of this study is to contribute to the literature to avoid deviations on definition of the concept of "Quality Engineering", which has not been defined yet by ISO - International Organization for Standardization. This study pointed out that the process of quality control is a part of on-line quality engineering rather than off-line phase and tries to ensure planned and/or improved values are satisfied during mass production