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During the past few years, statistical process control and experiment design concepts have taken a prominent place within the industry. The use of such tools within the Motorola, GEG manufacturing environment, has grown to the point where reflow and wave solder process development and optimisation has significantly benefited. The ability to evaluate statistically and model various known and unknown phenomena has provided GEG's manufacturing technology with a series of very powerful tools to aid in process control and development. The primary purpose of this paper is to present the various approaches used by GEG to implement the previously mentioned statistical tools, with respect to the development of infra‐red (I‐R) reflow solder processes and enhancement of certain quality characteristics associated with wave soldered printed wiring boards (PWBs). Beyond specific GEG applications, the paper discusses the role of statistically designed experiments and process control methods as a vehicle for providing answers to complex manufacturing problems. In addition, a discussion of the mathematical and graphical methods underlying the interpretation of quantitative data is presented. Perhaps the most important benefit derived from the use of statistics to solve manufacturing and quality problems is related to decision making. When experiments are conducted to isolate unwanted sources of process and product variation, decisions must be made to determine whether or not certain experimental effects are important. Through the application of statistics, the researcher can ascertain the mathematical probability associated with the random chance occurrence of various experimental effects. With this knowledge, the researcher can make decisions with known degrees of risk and confidence. Without such knowledge, an organisation might possibly expend valuable resources and derive no direct benefit. Ultimately, the principal reason for applying statistical methods and procedures is to increase quality and yield, while simultaneously reducing costs.

The purpose of this paper is to determine the impact level of parameters affecting wing design at low speeds using Taguchi method.

Using brain storming approach airfoil shape, wing angle of attack and Reynolds number are determined as important wing design parameters. Most important parameters over these parameters are determined using Taguchi method. The lift-to-drag ratio (CL/CD ratio) is chosen as the performance criterion and L8 orthogonal index is chosen as experimental study scheme for this study.

Experimental results are examined using Taguchi method. After making experiments and also analyses, Reynolds number is found as the most important and identifier parameter for aircraft wing design.

Taguchi method makes the experimental design for experimental studies. This method reduces the number of experiments substantially using orthogonal indices while keeping effects of uncontrolled parameters to a minimum. Reduction in number of experiments helps save time and also cost.

In this study, with less number of experiments, the most important parameter for aircraft wing design is determined. Moreover, with less number of experiments, not only is time saved but the design stage is also made faster.

The purpose of this article is to demonstrate the application of the tools and techniques of Quality by Design (QbD) approach in an Indian pharmaceutical drug product manufacturing company and to understand the challenges, managerial implications and lessons learned while implementing this initiative.

This work adopts the Action Research methodology for impurity reduction in a drug product manufacturing company in India by using the tools and techniques of QbD approach. Various QbD tools like Design of experiments, process capability evaluation and control charts were effectively utilized for the study.

As a part of QbD implementation in the organization, a specific drug product was identified and the impurity level in the product was studied. Significant variables impacting the impurity were identified and the optimum levels for the significant variables were identified through design of experiments. The solutions were implemented and the impurity levels were reduced significantly.

Even though the article is based on a single case study related to tools and techniques of QbD in a single organization in India, the identified problem is a generic product quality related issue for any pharmaceutical drug product manufacturing company. Hence the findings of this research are applicable to pharmaceutical drug manufacturing industry in general.

This article illustrates the systematic usage of various tools and techniques of QbD methodology in a pharmaceutical drug product manufacturing company. The usage of Design of Experiments for process optimization and application of other tools and techniques are ready references for the practitioners and novice users in the field.

Immersive virtual environments (IVEs) aid in perceiving spaces by providing a platform for all stakeholders to make better decisions at early design stages. Nevertheless, they are not widely used in architecture, engineering and construction (AEC) industry. This paper aims to illustrate the impact of level of details (LODs) in participants’ perception for architecture design alternatives in IVEs.

This paper presents an approach to estimate how distance perception varies between real and virtual environments when different design alternatives are implemented. First, a fully three-dimensional (3D) model for a replica meeting room was created and the level of details (LODs) inside the IVE was gradually modified. Second, a questionnaire was designed to collect responses about how the perceived experience of an IVE is compared to that of the physical environment, where the two environments have the same dimensions. Twenty-six participants were recruited in this study to estimate eight distances in the IVEs while putting on a head-mounted display.

Obtained results show that decreasing LOD has negative effect on users’ perception. Thus, when all of the available LODs were added to the IVE, the perceived perception was significantly enhanced. These findings emphasize the relation between the physical details and distance perception in IVEs and shed light on how to design virtual reality architectural models in an efficient manner.

Different experiments were conducted to analyze perception differences associated with factors such as LODs, gender and whether participants are wearing glasses.

This paper aims to present the design and experiment of a modular multisensory prosthetic hand for applications. Design and experiment of a modular multisensory hand for prosthetic applications.

This paper reveals more details focusing on the appearance, mechanism design, electrical design and control of the prosthetic hand considering anthropomorphism, dexterity, sensing and controllability. The finger is internally integrated with the actuator, the transmission mechanism, the sensors and the controller as a modular unit. Integrated with multiple sensors, the prosthetic hand can not only perceive the position, the contact force and the temperature of the environment like a human hand but also provide the foundation for the practical control.

The experiments show that the prosthetic hand can accurately control the contact force to achieve stable grasps based on the sensors feedback and a simple and effective force-tracking impedance control algorithm. In addition, the experiments based on the cosmesis validate not only the cosmesis functionality but also the control performance for a prosthesis–cosmesis system.

Because of the small size, low weight, high integration, modularity and controllability, the prosthetic hand is easily applied to upper-limb amputees. Meanwhile, the finger as a modular unit is easy to be fixed, maintained and applied to a partial upper-limb amputee.

Each modular finger of the prosthetic hand integrated with the actuator, the transmission mechanism, the sensors and the controller as a whole can independently control the position and the force. The cosmetic glove design can provide pretty appearance without compromising the control performance.

Sketching is a creative skill that most architects develop over their long period of study and is considered an effective medium for communicating imaginative thinking and conceptual ideas in architecture. As a concept, mood is generally associated with imagining specific ambiance and spatial experience during the schematic phase of the architectural design process. While most architectural research on mood revolves around post-occupancy evaluation, colour effect and lighting comfort, few studies have been conducted to systematically investigate conceptual issues related to mood imagination. Besides, there has been little attempt to appreciate sketches as a reliable conceptual data source for architectural research.

To bridge this knowledge gap, this paper explores a semiological analysis of mood visualisation using architectural sketches. By framing the experiment within the architecture education context, the paper begins by discussing the relationship between sketching, mood and semiology in architecture. The discussion continues by highlighting methodological issues in the design of our experiment. The experiment comprised architecture students from undergraduate and postgraduate programmes. Following the visual and textual data derived from the experiment, two semiological analyses, namely, mood sign analysis and mood signifier analysis, were conducted to understand their imaginative thinking.

The results revealed significant preferential differences between the students on the use of specific semiotic representation and design language to conceptualise their mood idea.

As a preliminary experiment, this study constitutes an early attempt to further explore potential research related to architectural sketches and the creative imagination that may be beneficial to designers, art psychologists, educators and researchers alike.

The purpose of this paper is to present the application of Design of Experiments techniques for the analysis of operating parameters of an industrial oven for the heat treatment process of polyethylene terephthalate (PET) bottle filaments.

The focus is on evaluating new ways of operating the transformation process. The main issue is to raise what are the variables interfering with the performance of the oven. The complete 2k factorial for three factors of control was used to analyze the behavior of these variables and their relationships in the specific response parameter for the process.

The results presented in this work allow the company to have greater knowledge about the operation of the equipment. The study showed possibilities of 14.8% energy reduction.

The heat treatment activity was characterized as a critical point in the production process, and techniques with empirical approaches, based on statistical techniques, was an opportunity that the company has to improve the execution of activities without major investments for the quality of the final product. The application of statistical quality techniques showed to be very promising.

The fact that the study was conducted using subjective quality performance makes this work different from others presented in the literature, showing the possibility to apply Design of Experiments using main control factors based on the opinion of experienced personnel involved in the process analyzed.

Commercial pressure has forced improvements in the reduction of press down time. One restraining factor for the flexographic printing process has been the lack of predictability and consistency. The results of a factorial designed experiment, are reported in this paper. Investigations into the complex interactions of many variable factors that take place during the printing process were carried out. Various statistical methods were employed for the design of the experiment and for the interpretation of experimental data generated. The results of the investigation have been used to optimise the flexographic printing techniques to significantly manipulate the properties of various production components for the end‐use application to enhance the plates printing performance and consistency.

To address three issues of survey-based methods (i.e. the absence of behaviors, the reference inequivalence, and the lack of cross-cultural interaction), the purpose of this paper is to explore the potential of using the behavioral experiment method to collect cross-cultural data as well as the possibility of measuring culture with the experimental data. Moreover, challenges to this method and possible solutions are elaborated for intriguing further discussion on the use of behavioral experiments in international business/international management (IB/IM) research.

This paper illustrates the merits and downside of the proposed method with an ultimate-game experiment conducted in a behavioral laboratory. The procedure of designing, implementing, and analyzing the behavioral experiment is delineated in detail.

The exploratory findings show that the ultimate-game experiment may observe participants’ behaviors with comparable references and allow for cross-cultural interaction. The findings also suggest that the fairness-related cultural value may be calibrated with the horizontal and vertical convergence of cross-cultural behaviors (i.e. people’s deed), and this calibration may be strengthened by incorporating complementary methods such as a background survey to include people’s words.

The behavioral experiment method illustrated and discussed in this study contributes to the IB/IM literature by addressing three methodological issues that are not widely recognized in the IB/IM literature.

In the quest for continuous quality improvement for both products and processes, design of experiments based on Shainin’s Variables Search is still playing a pivotal role among engineers and quality control practitioners. Briefly describes the Variables Search Designs formulated and promoted by Dorian Shainin for identifying the most critical variables which influence the process performance. In order to illustrate the potential of this powerful method, a simple paper helicopter experiment was carried out by the author. The results of the study have shown that Shainin’s Variables Search Design is a powerful tool for identifying the key process variables and therefore should be utilised by the engineering fraternity in manufacturing organisations as a problem‐solving tool.