Digitalization and the momentous role being assumed by data are commonly viewed as pervasive phenomena whose impact is felt in all aspects of society and the economy. Design activity is by no means immune from this trend, and the relationship between digitalization and design is decades old. However, what is the current impact of this ‘data revolution’ on design? How will the design activity change? What are the resulting research questions of interest to academics? What are the main challenges for firms and for educational institutions having to cope with this change? The paper provides a comprehensive conceptual framework, based on recent literature and anecdotal evidence from the industry. It identifies three main streams: namely the consequences on designers, the consequences on design processes and the role of methods for data analytics. In turn, these three streams lead to implications at individual, organizational and managerial level, and several questions arise worthy of defining future research agendas. Moreover, the paper introduces relational diagrams depicting the interactions between the objects and the actors involved in the design process and suggests that what is occurring is by no means a simple evolution but a paradigmatic shift in the way artefacts are designed.
Product cost estimation (PCE) still draws the attention of researchers and practitioners, even though it has been extensively discussed in the literature for more than 20 years. This is due to its central impact on the company's performance. Nowadays, the adoption of cost estimation methods seems to be limited, despite the multitude of examples and applications available. A possible reason is the multitude of approaches and techniques proposed in the literature, which, instead of representing a guide for enabling possible implementations, actually create confusion and ambiguity on their appropriateness for a particular application. Hence, this paper aims to provide a systematic review of the recent literature in the field of PCE, and intensively investigates the aspects that can enable a more conscious decision on the type of technique to be adopted. This results in the identification of five different perspectives, which can be taken simultaneously into account. By combining the different viewpoints, a new multilayer framework is derived, with a specific focus on the whole product life cycle. The proposed framework can be used as a decision-making tool by both researchers and practitioners. In fact, the former group can benefit from the new structure, as a way to identify new areas of possible research opportunities. The latter group is provided an operative guide for the application in industrial contexts.
Sustainability-related information affects people’s choices and evaluation. The literature has made significant efforts to understand the best ways of delivering this kind of information to shape consumer behavior. However, while most studies have focused on packaged products and direct information provided through eco-labels, preferences could be formed differently in other design domains. The paper investigates the effect of the perceived amount of indirect information on the evaluation of an architectural artefact. A sample of 172 participants visited a locally produced mobile tiny house, made with a considerable amount of sustainable materials. The same participants answered a questionnaire about their perceived knowledge, quality, appropriateness and sustainability of the tiny house. The general level of knowledge of the tiny house was used as a proxy of the amount of indirect information received. Although the knowledge of the tiny house was generally low, ratings regarding the other dimensions were overall extremely positive. In particular, no evident relation was found between knowledge of the tiny house and sustainability, while the latter is significantly linked to quality aspects. These outcomes deviate from the evidence from other studies; this might be due to indirect vs. direct information and the peculiarity of the study carried out in the field of buildings. The gathered demographic and background data of the participants make it possible to highlight the role played by gender and age in affecting the evaluations, but the absence of a significant impact of experience in the field, education and origin. The results are compared with findings related to the evaluation of sustainable products and green buildings in particular.
This exploratory work aims to understand which elements of a building mostly attract visitors’ attention. An experiment was conducted to allow participants to visit a prototype tiny house while wearing eye-tracking glasses. Identified gazed elements of the prototype were selected and the corresponding dwell times used as variables. The limited dwell times on structural elements show that they can be easily overshadowed by other features present in the building. This leads to a design problem when the novelty and the quality of a new product, markedly a building, reside in the materials used.
This paper proposes a three-step cost estimation methodology that dynamically adapts the focus of the analysis on the progress of the development phases and on the different levels of aggregation of the product architecture. At each step, different qualitative and quantitative techniques are progressively integrated according to the degree of data granularity required by the advancement of the product development. Moreover, a fixed set of cost drivers are identified to express the costs at different phases of the product lifecycle. The different levels of the product architecture are instead used as a framework to collect and bundle data for a cost analysis, which gradually increases the accuracy. Hence, the purpose of this research is to move the focus from merely estimating the structuring data and information for the cost analysis. The methodology is explicitly aimed at standardized assembled systems/products, characterized by a high number of parts and modules shared among different product versions. The approach was tested and validated at an automotive company that designs, produces, and markets measurement devices for engine development. Operatively, the approach can be used by the development team to evaluate the impact of different design alternatives, deriving the lifecycle costs of the product once the design choices are made. By tracking the development process at each aggregation level, designers can assess cost reduction by monitoring the impact of selected cost drivers while the product development process is in progress.
The literature on cost-estimation is full of examples that methodologically explain the construction of models. In this paper, we showed how such methods when correctly implemented represent a source of structured information for in-depth design decisions. We investigated the impact of variety proliferation overall lifecycle costs, assessing differences in product architectures using a cluster analysis. The evidence collected serves as validation of a cost model approach and provides a decision-making support for choosing between platform solutions against a knowledge of costs consequences.
The digitalisation of the industry offers new opportunities to discuss design activities and support tools. Advancement in AI allows thinking about new Designer-AI tools interaction in the design process. The paper aims to initiate a characterisation of tools issued from researches in the application of AI in Design to rethink the division of work between Designer-AI tools. The paper is based on the literature on the concept of Levels of Automation in cognitive engineering, manufacturing and robotics, and proposes a grid of characterisation of the Level of Automation for the design process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.