Enterprises evolve continuously, usually gradually, but sometimes rapidly in the face of disruptive events. The purpose of this study is to analyze the transformation process of the design consultancy in the face of challenges presented by advanced technology, economic change, and systemic shifts by applying selected methods and tools from the ARIES (Architecting Innovative Enterprise Strategy) framework. The study uses IDEO as an example to discuss the organizational structure of design consultancies, and describes how IDEO has evolved in the context of change. This study illustrates some emerging challenges that the design consulting industry is facing now and will face in the future, and how these challenges will affect organizational culture and structure, the design consulting process, the recruiting criteria, and the designers, as well as envisioning possible paths for the future of design consultancy.

With the growth of online marketplaces and social media, product designers have been seeing an exponential growth of data available, which can serve as an extremely valuable source of information communicated from customers without geographical limitations. The data will reveal customers’ preferences, which can be expensive and slow to obtain via traditional methods such as survey and questionnaires. While existing methods in the literature have been proposed to extract product information and make inference from online data, they have limitations, especially in providing reliable results and in dealing with data sparsity. Therefore, this paper proposes a method to conduct an Important-performance analysis from online reviews. The major steps of this method involve using latent Dirichlet allocation (LDA) to identify product attributes, using IBM Watson Natural Language Understanding tool to perform aspect-based sentiment analysis, and using XGBoost model to infer product attribute importance from the collected dataset. In our case study, we have collected over 150,000 text reviews of more than 3,000 laptops from Amazon.

To pursue business innovation with PSS, many different PSS concepts are designed and evaluated. Various business models of a PSS design concept are devised and evaluated as well. Evaluation of the economic sustainability of PSS business models is critical. This paper presents a systematic method to evaluate the economic sustainability of PSS business models using a system dynamics modelling template. System dynamics modelling task is challenging for practitioners due to the variety of variables comprising business model strategies and their complex interrelationships. To enable the modelling task, a system dynamics modelling template composed of six modules of customer acquisition, channel acquisition, profit creation, resource acquisition, PSS provision, and partnership pattern has been devised. The PSS business model evaluation method has been illustrated using a smart study experience management service system design case to demonstrate the proposed system dynamics modelling template can reflect the case-specific business model which consists of the particular business model strategies.

The same information has different cognitive difficulty in different representation forms, especially in the field of interaction design. Thus, Scientists pay attention to the design effectiveness based on visual perception. This study focuses on two problems: 1) The relationship between textual comprehension, spatial understanding and cognitive accuracy of text information; 2) The transformation differences of cognitive elements from text information to 3D image information. First, we conduct an experiment to show the cognitive transformation difference of text elements and 3D image elements. Then, we take the design of "Logoup" 3D modeling software (This is programming driven 3D modeling software) as an example, and applies the experimental results in this study to the interface design of the software. By setting up horizontal and vertical reference planes in the real-time rendering area of the software, we can improve the cognitive efficiency and user experience of users and provide non-professional 3D modeling skill of users with an entrance to create 3D shapes.

New design objectives as the digital twin encourage companies to replace the tradition document-based systems engineering approach by a model-centric one. All views of the system rely on different types of models that serve many objectives, especially to improve communication among stakeholders. However, the increasing number of heterogeneous models jeopardize communication at the end. Indeed, to get a holistic view of the virtual definition, engineers have no other alternative than to navigate through numerous models requiring domain-specific software and language. In this paper, we propose to use virtual reality to develop an immersive environment for a collaborative model-centric review of engineered systems. The virtual environment, which relies on a digital thread stored in a graph-oriented database, enables users to explore a model-centric design by navigating through the models in a unique virtual space. To illustrate our proposal, we use a model-centric design of a telescope and shows how our preliminary prototype supports the reviewing activity with data limited to the architecture and geometry. Future works will concentrate on the integration of data related to other perspectives on the system.

The outbreak of the coronavirus disease not only caused many deaths worldwide but also severely affected the development of the global economy, such as supply chain disruptions, plummeted demand, unemployment, etc. These social changes have led to changes in customers' purchasing patterns. Therefore, it is more important than ever for manufacturers to quickly identify and respond to changing customer purchasing patterns and requirements. However, few studies have been done on dynamic changes in customer preferences for product features following COVID-19 spread. This study aims to investigate the dynamic change of customer sentiment on product features following COVID-19 through sentiment analysis based on online reviews. The proposed methodology consists of two main processes: feature extraction and sentiment analysis. After finding a specific feature of the product through feature extraction, the words used to mention the feature in the review were analyzed for sentiment analysis of customers. To demonstrate the methodology, a case study is conducted using new and refurbished smartphone reviews to investigate the dynamic changes in customer sentiment during COVID-19.

There is an inherent tension between functional descriptions of products and structural descriptions. Traditionally system architecture combine the two, by mapping system elements to functions. In this process fundamental decisions about the embodiment of a product are often taken without proper scrutiny. Axiomatic design advocates a zigzag between functional decomposition and system break down. While this approach makes sense for ab initio design these are rare and most products are developed incrementally., This paper takes up the idea of a functional reference architecture.

Conventional functional modelling advocates a hierarchical decomposition into sub function. By contrast FRAs decompose function into function chain, i.e., dependent sequences of sub function required to carry out an overall function. This allows the identification of common sub-functions in different chains, and thereby generates a lattice structure of functions rather than a tree. This enables a detailed but solution neutral description of the product.

This concept has attracted interest in industry but does not have many tools and methods to develop FRA. The paper discusses some of the areas that require research

Hydrogen is a promising fuel to fulfil climate goals and future legislation requirements due to its carbon-free property. Especially hydrogen fueled buses and heavy-duty vehicles (HDVs) strongly move into the foreground. In contrast to the hydrogen-based fuel cell technology, which is already in commercial use, vehicles with hydrogen internal combustion engines (H2-ICE) are also a currently pursued field of research, representing a potentially holistic carbon-free drive train. Real applications of H2-ICE vehicles are currently not known but can be expected, since their suitability is put to test in a few insolated projects at this time. This paper provides a literature survey to reflect the current state of H2-ICEs focused on city buses. An extended view to HDVs and fuel cell technology allows to recognize trends in hydrogen transport sector, to identify further research potential and to derive useful conclusion. In addition, within this paper we apply green MAGIC as a holistic approach and discuss Well-to-Tank green hydrogen supply in relation to a H2-ICE city bus. Building on that, we introduce the upcoming Hydrogen-bus project, where tests of H2-ICE buses in real driving mode are foreseen to investigate Tank-to-Wheel.

This paper investigates the design and development of bio-inspired suture pins that would reduce the insertion force and thereby reducing the pain in the patients. Inspired by kingfisher's beak and porcupine quills, the conceptual design of the suture pin is developed by using a unique ideation methodology that is proposed in this research. The methodology is named as Domain Integrated Design, which involves in classifying bio-inspired structures into various domains. There is little work done on such bio-inspired multifunctional aspect. In this research we have categorized the vast biological functionalities into domains namely, cellular structures, shapes, cross-sections, and surfaces. Multi-functional bio-inspired structures are designed by combining different domains. In this research, the hypothesis is verified by simulating the total deformation of tissue and the needle at the moment of puncture. The results show that the bio-inspired suture pin has a low deformation on the tissue at higher velocities at the puncture point and low deformation in its own structure when an axial force (reaction force) is applied to its tip. This makes the design stiff and thus require less force of insertion.

This paper will adopt the Munich Agile Concepts (MAGIC) on the design of Vertistops and Vertiports (Verti-X) for Urban Air Mobility (UAM) Systems. Vertiports and Vertistops are single or multi-landing spaces for air taxis, which are electric-powered vertical take-off and landing (eVTOLs) aircraft. The target of this paper is to apply a holistic approach how to design so called Verti-X in a holistic and system of system method from the Requirement-, Function-. Architecture- and the Implementation phase. The MAGIC approach contains all of the requierd phases which are necessary to build up such a complex design of Verti-X. Therefore, based on the literature survey, we have determined the key components of the Verti-X design with a thorough requirement analysis. Then, we have followed the existed criteria and regulations to design a valid and verified Verti-X which fulfills all the requirement. Furthermore, the focus of this paper is to apply the first four phases of MAGIC regarding the requirement, function, architecture and the implementation of such Verti-X Design.

Nowadays, the world is shifting towards a more sustainable way of life, and product designers have an important part in this change. They have to eco(re)design their products to make them environmentally conscious throughout their lifecycle, and especially at their end-of-life (EoL). However, one can observe that synergy between product designers and recycling-chains stakeholders is lacking, mainly due to their weak communication. While many design-for-EoL approaches coexist in the literature, design from EoL must also be taken into account to fully develop a circular economy.

RE-CYCLING is an innovative design approach that supports both design for and from EoL. This paper focuses on the recycling EoL-option and the validation of the associated indicators. To validate the design-for-recycling indicators, the recyclability of three smartphones is assessed. It is expected that indicators provide a similar score as none of them was designed to be recycled; results comply with expectations. In parallel, the convenience of using recycled materials in smartphones is analysed to validate our design-from-recycling indicators. It is found that the proposed indicators can indeed support designers integrating recycled materials in products.

As a result of the increasing challenges in the field of lightweight constructions, the demand for efficient joining technologies is continuously rising. For this purpose, cold forming processes offer an environmental friendly and fast alternative to established joining methods (e.g. welding). However, to ensure a high reliability, not only the selection of an appropriate procedure, but also the dimensioning of the individual joint is essential. While product designers can rely on a wide range of design principles for thermal processes, the dimensioning and evaluation of mechanical joining processes is mainly based on expert knowledge and a few experimental tests. Although few studies already investigated the numerical analysis of mechanical joints, an approach for the sustainable and consistent optimization of the strength and reliability of joining connections for varying use-cases is not available yet. Motivated by this lack, this paper presents an approach for the automated transfer of information within the process chain and the data-based analysis of mechanical joints by using clinching as an example. Therefore, the CRISP-DM reference model is used for the systematic data mining.

The implementation of agile frameworks, such as SAFe, in large companies causes conflicts between the overall product development process with a rigid linkage to the calendar cycles and the continuous agile project planning. To resolve these conflicts, adaptive processes can be used to support the creation of realistic target-processes, i.e. project plans, while stabilizing process quality and simplifying process management. This enables the usage of standardisation methods and module sets for design processes.

The objective of this contribution is to support project managers to create realistic target-processes through the usage of target-process module sets. These target-process module sets also aim to stabilize process quality and to simplify process management. This contribution provides an approach for the development and application of target-process module sets, in accordance to previously gathered requirements and evaluates the approach within a case study with project managers at AUDI AG (N=21) and an interview study with process authors (N=4) from three different companies.

Patent analysis is a popular topic of research. However, designers do not engage with patents in the early design stage, as patents are time-consuming to read and understand due to their intricate structure and the legal terminologies used. Manually produced graphical representations of patent working principles for improving designers’ awareness of prior art have been demonstrated in previous research. In this paper, an automated approach is presented, utilising Natural Language Processing (NLP) techniques to identify the invention working principle from the patent independent claims and produce a visualisation. The outcomes of this automated approach are compared with previous manually produced examples. The results indicate over 40% match between the automatic and manual approach, which is a good basis for further development. The comparison suggests that the automated approach works well for features and relationships that are expressed explicitly and consistently but begin to lose accuracy when applied to complex sentences. The comparison also suggests that the accuracy of the proposed automated approach can be improved by using a trained part-of-speech (POS) tagger, improved parsing grammar and an ontology.

Customer centricity is described as placing value creation for customers at the core of business decisions and organizational practices and is progressively regarded as a foundation of sustainable competitive advantage by companies. Hence in recent years, there is a shift from companies being product-centric to them adapting customer-centric practices as a practice to create balanced and sustainable businesses. Although there are several methods and processes that can help companies become customer-centric; Design Thinking (DT) is championed by many practitioners and academics alike as being effective in introducing customer-centricity in organizations. Despite being a highly researched topic in the last decade, the bulk of the research is focused on success stories or one-off cases of using design thinking in Business to Customer (B2C) environments. This paper is based on a qualitative study performed at a high-tech Swedish electronics company and focuses on highlighting the barriers and opportunities of adapting DT in Business to Business (B2B) companies with established product development processes. The barriers we identified can help companies to address the impediments and will make the DT implementation easier for companies

Nature has always been a source of inspiration for designers and engineers, through the imitation of biological patterns and structures. This emulating and creative process is nowadays supported by technologies and tools as additive manufacturing and computational design. This paper describes the design and prototyping of a lamp inspired by a plant called Physalis Alkekengi, known as Chinese Lantern. We present the development of an algorithm, based on a computational model from literature, to realize the 2D pattern and leaves. They were then 3D printed to create the structure of the lamp and obtain an aesthetical and symbolic shading effect.

In this paper, we present results from an experiment using EEG to measure brain activity and explore EEG frequency power associated with gender differences of professional industrial designers while performing two prototypical stages of constrained and open design tasks, problem-solving and design sketching. Results indicate no main effect of gender. However, among other main effects, a consistent main effect of hemisphere for the six frequency bands under analysis was found. In the problem-solving stage, male designers show higher alpha and beta bands in channels of the prefrontal cortices and female designers in the right occipitotemporal cortex and secondary visual cortices. In the design sketching stage, male designers show higher alpha and beta bands in the right prefrontal cortex, and female designers in the right temporal cortex and left prefrontal cortex, where higher theta is also found. Prioritising different cognitive functions seem to play a role in each gender's approach to constrained and open design tasks. Results can be useful to design professionals, students and design educators, and for the development of methodological approaches in design research and education.

The field of design practice and design education is reaching out to address problems that cannot be solved by introducing a single product or service. Complex societal problems such as gender inequality cannot be solved using a traditional problem-solving oriented design approach. The specific characteristics of these problems require new ways of dealing with the dynamics, scale and complexity of the problem.

Systemic design is a design approach integrating systems thinking in combination with more traditional design methodologies, addressing complex and systemic problems. This paper reports a systemic design approach in an educational context for the case of academic gender inequality. We show the way the problem was addressed and how design students were invited to take a systemic perspective, provide integrated interventions and take first steps in providing instruments for implementation. We conclude with the learnings from this case study, both on the process and the results.

Classifying shape and form is a core feature of Engineering Design and one that we do this instinctively on a daily basis. Matching similar components to then reduce unique component counts, determining whether a competitors design infringes on copyright and receiving market feedback on product styling are all examples where shape and form comes into play. However, shape and form can be perceived in different ways from purely mathematical (e.g. shape grammars) to wholly subjective (e.g. market feedback) and these perceptions may not entirely agree.

This paper examines the mathematical and human perceptions of shape and form through a study of classifying shapes that have been interpolated between one another, and in doing so, highlights the disparity in perceptions. Following this, the paper demonstrates how the emergent field of Machine Learning can be applied to capture mathematical and human perceptions of shape and form resulting in a means to twin this feedback into product development.

Maturity assessments of technology is a crucial process to identify and acquire compatible technologies for a system’s development. However, being a complex and highly subjective process, the Government Accountability Office (GAO) has reported cost overruns and schedule slippages through the years. This study provides a unique Weighted Technology Readiness Level (WTRL) framework which utilizes cardinal factors to ascertain the maturity, schedule and trend of NASA’s 7 Technologies based on their maturity time. The framework utilizes MCDM methods to determine the cardinal complexity of each TRL. It allows the assimilation of other cardinal factors using a simple, open structure to track the overall technology maturity and readiness. Furthermore, this study highlights the importance of tailored TRL frameworks to determine the accurate cardinal coefficient of the said technology and the inferences derived otherwise. It eliminates several limitations of previous frameworks and compares against their performance using a verified statistical representation of processed data.