Crowdsourcing customer needs for product design using text analytics

In product design and engineering, identifying customer needs is the foundation for designing and producing a successful product. Traditionally, a range of techniques have been employed to elicit customer needs. A relatively new technique for identifying customer needs is ‘crowdsourcing’. An emerging area of research is the crowdsourcing of customer needs from online product review sites. This paper proposes a simple process for crowdsourcing customer needs for product design using text analytics. The analysis/visualization method is presented in detail. The text content of online customer reviews for a popular product is collected and processed using text analytics software. A published case study identifying expressed customer needs for the same generic product, collected via conventional means, is used to successfully validate the findings from the text analytics method.

Customer-product interaction : a model for new product development in entrepreneurial firms

Use of New Product Development (NPD) methods may benefit New Zealand SMEs and entrepreneurial firms in gaining greater market share. In this paper we review the literature on New Product Development, NPD theory and methods for early stage product design and development. Our reading suggests that product design has greater success when the customer is involved in the design effort. It also recommends methods of approach to new markets in the (NPD) life cycle. The literature further elucidates methods for identification of product design criteria based on customer needs identification. In essence, customer-product interaction in the early stages of product development is important to product success in new markets for entrepreneurial firms and SMEs. Of particular interest are early-stage NPD research methods and their influence on the company’s marketing strategy.

Classification and optimization of product review information using soft computing models

A soft computing framework to classify and optimize text-based information extracted from customers' product reviews is proposed in this paper. The soft computing framework performs classification and optimization in two stages. Given a set of keywords extracted from unstructured text-based product reviews, a Support Vector Machine (SVM) is used to classify the reviews into two categories (positive and negative reviews) in the first stage. An ensemble of evolutionary algorithms is deployed to perform optimization in the second stage. Specifically, the Modified micro Genetic Algorithm (MmGA) optimizer is applied to maximize classification accuracy and minimize the number of keywords used in classification. Two Amazon product reviews databases are employed to evaluate the effectiveness of the SVM classifier and the ensemble of MmGA optimizers in classification and optimization of product related keywords. The results are analyzed and compared with those published in the literature. The outputs potentially serve as a list of impression words that contains useful information from the customers' viewpoints. These impression words can be further leveraged for product design and improvement activities in accordance with the Kansei engineering methodology.

Texture changes during uniaxial compression of Mg-3AI-1Zn

The mechanical anisotropy of wrought Mg alloys is very high. For example the yield stress of extruded Mg-3Al-1Zn tested in tension can be as high as twice that obtained in compression [1]. To solve the problems this creates for product design it is necessary to understand the sensitivity of texture to processing parameters. Uniaxial compression tests at different temperatures were performed on cylindrical samples of an extruded Mg-3Al-1Zn bar. The texture
during this deformation changes from a situation where all crystal c-axes are nearly perpendicular to the sample axis to one where the c-axes are all nearly parallel to this axis. Compression was stopped at different strains to examine the rate of this texture change. Textures were examined using EBSD measurements. It was found that different mechanisms operate depending on the temperature of deformation and that a variety of textures can be created. Also it was seen that an annealing treatment performed after compression has an influence on the texture. Afterwards the samples were subjected to another uniaxial compression test to examine the influence of texture on room temperature properties.

Haptically enabled interactive virtual reality prototype for general assembly

Desktop computers based virtual training systems are attracting paramount attention from manufacturing industries due to their potential advantages over the conventional training practices. Significant cost savings can be realized due to the shorter training-scenarios development times and reuse of existing engineering models. In addition, by using computer based virtual reality (VR) training systems, the time span from the product design to commercial production can be shortened due to non-reliance on hardware parts. Within the aforementioned conceptual framework, a haptically enabled interactive and immersive virtual reality (HIIVR) system is presented. Unlike existing VR systems, the presented idea tries to imitate real physical training scenarios by providing comprehensive user interaction, constrained within the physical limitations of the real world imposed by the haptics devices within the virtual environment. As a result, in contrast to the existing VR systems, capable of providing knowledge generally about assembly sequences only, the proposed system helps in procedural learning and procedural skill development as well, due to its high physically interactive nature.

Knowledge sharing by organisations in sustainable development projects

There are an increasing number of organisations seeing the benefits of implementing sustainable development practices within their processes and product design. However, there are a number of barriers that are preventing organisations from taking up this challenge. Some of these barriers could be reduced through the application of better external knowledge sharing. This paper explores the potential for sharing knowledge about sustainable development practices in academic and industry journals. Using content analysis, the types of projects that are discussed and the level of detail provided in the reporting of sustainable development initiatives by organisations are examined to identify what is being communicated and more importantly to identify what is not being shared. The results show that there is a lack of detail in reporting with a focus on reporting only certain types of sustainable development projects that may prevent knowledge sharing from occurring.

Customer-oriented NPD models for entrepreneurial firms

New Product Development (NPD) is an underutilised methodology in New Zealand. In this paper the authors review the literature on New Product Development, NPD theory and methods for early stage product design and development to make it better understood to SMEs.

Effect of structure-property relationships on fatigue failure in natural fibres

The fatigue behaviour of natural fibres is important for fibre processing efficiency as well as the properties and performance of products made from these fibres. This chapter presents some fibre fatigue results obtained from various experimental methods and testing conditions. It demonstrates that many factors, including fibre structure and chemical treatments, affect the fatigue failure in natural fibres. Examples of controlling fibre fatigue life for different purposes are also presented. Knowledge of the fatigue behaviour of natural fibres will help product design and care.

Haptically enable interactive virtual assembly training system development and evaluation

Virtual training systems are attracting paramount attention from the manufacturing industries due to their potential advantages over the conventional training practices. Significant cost savings can be realized due to the shorter times for the development of different training-scenarios as well as reuse of existing designed engineering (math) models. In addition, use of computer based virtual reality (VR) training systems can shorten the time span from computer aided product design to commercial production due to non-reliance on the hardware parts for training. Within the aforementioned conceptual framework, a haptically enabled interactive and immersive virtual reality (HIVEx) system is presented. Unlike existing VR systems, the presented idea tries to imitate real physical training scenarios by providing comprehensive user interaction, constrained within the physical limitations of the real world. These physical constrains are imposed by the haptics devices in the virtual environment. As a result, in contrast to the existing VR systems that are capable of providing knowledge generally about assembly sequences only, the proposed system helps in cognitive learning and procedural skill development as well, due to its high physically interactive nature.

Haptics and virtual reality in modern manufacturing

Product assembly is one of the most studied processes in modern manufacturing. In recent years a number of computer-based virtual reality systems have been proposed, developed and adopted by the manufacturing industries. Such systems have major advantages over conventional training practices for product assembly. Significant cost savings can be realized due to shorter training-scenario development times and reuse of existing engineering math models. In addition, the time span from the product design to full production can be shortened due to non-reliance on actual components and subsystems for training. Such training systems are effective if the knowledge required to be transferred is just process sequence such as assembly sequence. However, knowledge transfer for procedural and cognitive learning as well as skills development is very limited, due to the lack of user interactivity and immersion.

This talk will focus on a research technology platform where haptics and virtual reality are integrated to create an effective environment for production assembly operators’ training. In this system virtual reality provides the grounds for realistic visualization, as well as immersion, whereas haptics enforces physical constraints within the virtual world generating the feelings of realistic interaction, making it accessible for formal learning and better understanding during task performance.

The developed research technology platform imitates real physical training scenarios by providing comprehensive user interaction, constrained within the physical limitations of the real world. Through the utilization of a haptics device, providing realistic force feedback, users are able to engage in product assembly training with a stronger sense of ‘reality’.

A hybrid Kansei engineering system using the self-organizing map neural network

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and therelationships with the product design decisions have been introduced in KE systems, many or the approaches are not able to incorporate human subjective feelings and preferenees into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abililities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate tbe effectiveness of the proposed approach in developing an intelligent KE system which is able to combine huiiUUI feelings and preferences into its decision making process.

From product centricism to systems-wide education design: making corporate technology systems work for the learning organisation

Deakin University has established a major integrated corporate technology infrastructure in the last two years to enhance and bring together its distance education and on-campus education. This environment has been called Deakin Online. With Deakin Online rapidly developing, efforts are beginning to focus more fundamentally on how the potentials of the environment can be realised to create enduring teaching and learning value. This search must be understood in the context of the University’s commitment to the values of relevance, responsiveness and innovation. The question is: how can these values be realised in the digitally-based evolving educational enterprise using the new corporate technologies and new concepts of organisational structure and function? We argue for the transforming role of the academic teacher and new forms of open academic collegiality as being critical to realise strategic and enduring educational value. Moreover, change in role and process needs to be grounded in more systemic organisation and program-wide approaches to designing and working within the new contemporary learning environments. We believe the shift from the dangers of product centricism to system-wide education design modelling situating e-learning within broader curricular and pedagogical concerns represents the best strategy to create enduring educational benefits for all stakeholder groups (notably academic teachers and their learners) while preserving teachers’ sense of agency in the changing learning environments of higher education.

Enhancing quality in online learning : scaffolding planning and design through proactive evaluation

A major issue confronting educators is the extent to which they wish to conform to so-called paradigm shifts in teaching and learning. In the contemporary world of tertiary education these shifts embrace both pedagogy (from instructivist to constructivist) and technology (from classroom to online). As teachers and learners are faced with the potential of these new learning environments, the extent to which learning outcomes are achieved remains a high priority and subject to a wide range of evaluation strategies. Conventionally, evaluation has been positioned at the end of the instructional development cycle, to assess first whether or not the creative effort achieved the original product goals and second whether or not the desired learning outcomes were realized. In the context of online teaching and learning environments, however, the level of understanding teachers, learners and developers have of the medium can impact the ultimate effectiveness of the product. This paper articulates an additional dimension to post-development evaluation processes in proposing proactive evaluation, a framework that identifies critical online learning factors and influences that will better inform the planning, design and development of learning resources. This notion of proactive evaluation advocates resource development being undertaken where all planning activities are assessed against the evaluation criteria that would normally be applied during formative assessment. By performing these evaluation checks proactively, online learning resources will, in principle, work first time as all relevant factors and issues will have been considered and resolved. More importantly, for those participants who are new to online environments, proactive evaluation will perform a scaffolding and professional development role by enhancing online teaching or learning competencies.

Rationale and design of the national benchmarking and evidence-based national clinical guidelines for chronic heart failure management programs study

OBJECTIVES: The National Benchmarks and Evidence-Based National Clinical Guidelines for Heart Failure Management Programs Study is a national, multicenter study designed to determine the nature, range, and effect of interventions applied by chronic heart failure management programs (CHF-MPs) throughout Australia on patient outcomes. Its primary objective is to use these data to develop national benchmarks and evidence-based clinical guidelines and optimize their cost-effective application by reducing quality and outcome variability. DATA SOURCES/STUDY SETTING: Primary data will be collected from CHF-MP coordinators and CHF patients enrolled in these programs on a national basis. Secondary outcome data will be collected from a national morbidity record and from patients' medical records. STUDY DESIGN: Stage I of the study involves a prospective clinical audit of all CHF-MPs throughout Australia (n = 45) to determine the extent of variability in programs currently. Stage II is a prospective cross-sectional survey design enrolling 1,500 patients (average of 40 patients per program) to firstly determine the typical profile of patients being managed via a CHF-MP in Australia and, secondly, the subsequent morbidity and mortality during the 6-month follow-up. Outcome data will be subject to multivariate analysis to determine the key components of care in this regard. All study data will be then examined in the final stage of the study (III) to develop national benchmarks for the application and auditing of CHF-MPs in Australia. CONCLUSION: Variability in patient outcomes is a product of heterogeneity among CHF-MPs. The development of national benchmarks will minimize such heterogeneity and will provide a greater level of evidence for their cost-effective application.

Towards universal accessibility : including users with a disability in the design process

While increased awareness of disability issues has resulted in the development of guidelines for developing accessible software, such guidelines do not guarantee that the end product will be optimal for users with a disability. We present an overview of a user-centred approach to the needs analysis and ultimate design of a disability aware email client (Multimail). We discuss the process we used to work with participants in developing the software and reflect on the benefits and challenges of the process.