Making the tacit explicit: Developing tools to support collaboration during industrial design and engineering design practice

Industrial designers employ an extensive range of media and techniques at various times during professional practice. Whilst general patterns of use are acknowledged, such as loose sketches at the beginning of product development and full prototypes at the end, the nuances of use for specific design representations remain elusive. Having identified problems in communication during product development, the researchers identified a lack of understanding in the use of design representations as a key issue. This paper reports on research to enhance communication during product development by making tacit knowledge on the use of design representations explicit. This was achieved through the development of two design tools called CoLab and iD Cards. Phase 1 of the project identified barriers to communication through semi-structured interviews with 61 industrial designers and engineering designers at 17 industrial design consultancies. Phase 2 explored the nature of design representations and categorized 35 types as sketches, drawings, models or prototypes using isemi-structured interviews with both industrial designers and engineering designers, with differences in use between the two groups becoming apparent. Phase 3 used a process of information design to translated the findings and data from Phase 2 into the card-based CoLab design tool that included the taxonomy and indication of when the design representations were used by industrial designers and engineering designers and for what types of information. Changes were made after appraisal and the final tool was validated through semi-structured interviews with 43 industrial design and engineering design practitioners and observation. Phase 4 disseminated the research output with the support of the Royal Academy of Engineering (RAE) in the UK (CoLab web-based design tool) and Industrial Designers Society of America (IDSA) in the USA (iD Cards physical design tool). The paper concludes that the use of appropriate research methods that integrate literature based sources with practitioner engagement has the potential to elicit valuable and unexpected tacit knowledge. It also acknowledges that whilst the outcomes from such research can be enthusiastically received, translation into a format for effective dissemination can be a challenging and time-consuming process. However, with confidence in outcomes and a desire to disseminate, opportunities can be identified if researchers are prepared to be flexible and adapt to stakeholder needs

Revisiting the design intent concept in the context of mechanical CAD education

[EN] Design intent is generally understood simply as a CAD model¿s anticipated behavior when altered. However, this representation provides a simplified view of the model¿s construction and purpose, which may hinder its general understanding and future reusability. Our vision is that design intent communication may be improved by recognizing the multifaceted nature of design intent, and by instructing users to convey each facet of design intent through the better-fitted CAD resource. This paper reviews the current understanding of design intent and its relationship to design rationale and builds on the idea that communication of design intent conveyed via CAD models can be satisfied at three levels provided that specialized instruction is used to instruct users in selection of the most suitable level for each intent.Otey, J.; Company, P.; Contero, M.; Camba, J. (2018). Revisiting the design intent concept in the context of mechanical CAD education. Computer-Aided Design and Applications. 15(1):47-60. https://doi.org/10.1080/16864360.2017.1353733S476015

Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry

Collective knowledge, consisting of tacit group-embedded knowledge, is a key element of organizational capabilities. This study undertakes a multiple-case study of the transfer of collective knowledge, guided by a set of tentative constructs and propositions derived from organizational learning theory. By focusing on the group-embeddedness dimension of collective knowledge, we direct our attention to the source and recipient communities. We identify two sets of strategic choices concerning the transfer of collective knowledge: collective vs. fragmented teaching, and collective vs. fragmented learning. The empirical context of this study is international R&D capability transfer in the Chinese auto industry. From the case evidence, we find the expected benefits of collective teaching and collective learning, and also discover additional benefits of these two strategies, including the creation of a bridge network communication infrastructure. The study disclosed other conditions underlying the choice of strategies of transferring collective knowledge, including transfer effort and the level of group-embeddedness of the knowledge to be taught or re-embedded. The paper provides a group-level perspective in understanding organizational capabilities, as well as a set of refined constructs and propositions concerning strategic choices of transferring collective knowledge. The study also provides a rich description of the best practices and lessons learned in transferring organizational capabilities.http://deepblue.lib.umich.edu/bitstream/2027.42/39804/3/wp420.pd

Development of a tool for building shared representations among industrial designers and engineering designers

Previous studies have demonstrated the importance of multi-disciplinary collaboration in New Product Development (NPD). As such, interactions between industrial designers and engineering designers have become increasingly important. This research project aims to build a shared understanding between the two disciplines during NPD. Following empirical research that revealed collaboration-related problem areas, as well as collecting data concerning the use of design representations, a card system was developed to provide information on the role and significance of design representations, leading to joint understanding, improved communication and creation of shared knowledge. When asked in the validation study if the system would foster collaboration, 68.2% of industrial designers and 63.2% of the engineering designers gave a good and excellent rating, indicating that the system could play a significant role towards the support of multi-disciplinary teamwork

A comparison of processing techniques for producing prototype injection moulding inserts.

This project involves the investigation of processing techniques for producing low-cost moulding inserts used in the particulate injection moulding (PIM) process. Prototype moulds were made from both additive and subtractive processes as well as a combination of the two. The general motivation for this was to reduce the entry cost of users when considering PIM. PIM cavity inserts were first made by conventional machining from a polymer block using the pocket NC desktop mill. PIM cavity inserts were also made by fused filament deposition modelling using the Tiertime UP plus 3D printer. The injection moulding trials manifested in surface finish and part removal defects. The feedstock was a titanium metal blend which is brittle in comparison to commodity polymers. That in combination with the mesoscale features, small cross-sections and complex geometries were considered the main problems. For both processing methods, fixes were identified and made to test the theory. These consisted of a blended approach that saw a combination of both the additive and subtractive processes being used. The parts produced from the three processing methods are investigated and their respective merits and issues are discussed

Reducing risk in pre-production investigations through undergraduate engineering projects.

This poster is the culmination of final year Bachelor of Engineering Technology (B.Eng.Tech) student projects in 2017 and 2018. The B.Eng.Tech is a level seven qualification that aligns with the Sydney accord for a three-year engineering degree and hence is internationally benchmarked. The enabling mechanism of these projects is the industry connectivity that creates real-world projects and highlights the benefits of the investigation of process at the technologist level. The methodologies we use are basic and transparent, with enough depth of technical knowledge to ensure the industry partners gain from the collaboration process. The process we use minimizes the disconnect between the student and the industry supervisor while maintaining the academic freedom of the student and the commercial sensitivities of the supervisor. The general motivation for this approach is the reduction of the entry cost of the industry to enable consideration of new technologies and thereby reducing risk to core business and shareholder profits. The poster presents several images and interpretive dialogue to explain the positive and negative aspects of the student process

The Shaping of Form: Exploring Designers’ Use of Aesthetic Knowledge

Research on design and designers has emphasized the tacit nature of the aesthetic knowledge that these professionals draw upon to make decisions about formal properties of objects and spaces, but is less clear about how design teams address the difficulties associated with expressing and sharing this type of knowledge. A ten-month ethnography in a design consultancy revealed a range of multimodal and cross-modal ways in which members of a design team compensate their imperfect capacity of articulating verbally their aesthetic knowledge in order to gradually construct a common knowledge base enabling creative collaboration. In so doing, our study offers two main contributions. It illuminates the interplay between designers’ aesthetic experiences, visceral responses, and intuitive cognitive processes that enable designers to draw upon their aesthetic knowledge to support the collective accomplishment of their task, and provides an interpretation of the design process as a form of ‘creative’ intuition driven by emotional reactions to environmental stimuli and emerging formal solutions

Effect of Automation Level on Cognitive Workload when Collaborating with a Robotic Assistant

Manufacturing robotics have been used for decades to perform repetitive tasks, or tasks that require increased levels of speed, strength, or precision to meet production and specification requirements. Determining the appropriate degree of automation for both the human and robot collaborative team members is critical to optimize production as well as user experience. If the degree of automation is too high, the human will be out of the loop which can result in the loss of situational awareness and be detrimental to intervention time and accuracy. If the degree of automation is too low, then the human may experience greater than necessary cognitive workloads resulting in fatigue. In this experiment, the human team member performed a typing task while the robot team member performed a pick and place task. The human remained in a supervisory role to the robot’s actions. As the degree of automation increased, objective and subjective measurements of the cognitive effect were collected. 30 participants aged 18-44 years were divided between two levels of automation. Group one (n=15) participated in the decision support variation of the experiment. The human team member typed from provided literature while they supervised the Universal Robot performing a pick and place task. The robot then initiated movement to pick up the object when the human pressed a button. Group two participated in the automatic execution variation of the experiment in which the robot executed all movements automatically, without input from the human operator. The robot performed the pick task when an object was detected by a photelectric switch. In each scenario, an error was presented on the 5th, 9th, 15th, and 19th production cycle requiring the human to intervene. Time measurements were collected at this juncture to determine how the human reacted to an unexpected situation at each level of automation. The Subjective Workload Assessment Technique (SWAT) (Luximon & Goonetilleke, 2001) was used to measure the perceived cognitive workload for each participant. Time data were collected for the production cycle and intervention. Typed words per minute were collected and compared to each participant’s control. T-tests were used to analyze the mean time within groups comparing the control words per minute to the treatment words per minute. Additionally, t-tests were used to analyze mean time between groups in the following areas, time to complete twenty cycles, intervention time, and words per minute. Two hypotheses were developed which results were measured against. The first hypothesis is that the automatic execution operators will be out of the loop while engrossed in the typing task and take more time to notice the error, understand the problem, correct the problem, and return the system to homeostasis than decision support operators. The experiment results did not fully support this hypothesis, but they did reveal that the increased level of automation completed 20 cycles significantly (p \u3c 0.0001) faster mean time 9.57 min (SD 0.2 x 10-3) than the lower level of automation with a mean time 10.25 min SD 0.2 x 10-4. The second hypothesis is that automatic execution operators will be faster and more accurate in word processing and have lower subjective workload ratings than decision support operators. This hypothesis was not supported in the experiment results which revealed nearly significant (p = 0.07) higher levels of cognitive effort in higher levels of automation (57.5%) than in the lower level of automation (45.3%) (SD 2.0). However, no significant differences were found for word processing time or errors. The results of this study suggest that as automation increases overall production outcomes increase, but so does mental workload. This may help researchers and automation designers understand the relationship between cognitive workload, performance, and levels of automation within a human robotic collaborative team (HRC)

Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry

Collective knowledge, consisting of tacit group-embedded knowledge, is a key element of organizational capabilities. This study undertakes a multiple-case study of the transfer of collective knowledge, guided by a set of tentative constructs and propositions derived from organizational learning theory. By focusing on the group-embeddedness dimension of collective knowledge, we direct our attention to the source and recipient communities. We identify two sets of strategic choices concerning the transfer of collective knowledge: collective vs. fragmented teaching, and collective vs. fragmented learning. The empirical context of this study is international R&D capability transfer in the Chinese auto industry. From the case evidence, we find the expected benefits of collective teaching and collective learning, and also discover additional benefits of these two strategies, including the creation of a bridge network communication infrastructure. The study disclosed other conditions underlying the choice of strategies of transferring collective knowledge, including transfer effort and the level of group-embeddedness of the knowledge to be taught or re-embedded. The paper provides a group-level perspective in understanding organizational capabilities, as well as a set of refined constructs and propositions concerning strategic choices of transferring collective knowledge. The study also provides a rich description of the best practices and lessons learned in transferring organizational capabilities.knowledge transfer, collective knowledge, organizational capabilities, R&D capabilities, organizational learning, network, China

A taxonomic classification of visual design representations used by industrial designers and engineering designers

In the context of new product development (NPD), research has shown that not having a common understanding of visual design representations (VDRs) has affected collaboration between industrial designers and engineering designers. The aim of the research presented in this paper was two-fold. Firstly, to identify the representations employed by industrial designers and engineering designers during NPD from a literature survey. Secondly, to define and categorize these representations in the form of a taxonomy that is a systematic organization of VDRs that are presently dispersed in the literature. For the development of the taxonomy, four measures encompassing orthogonality, spanning, completeness and usability were employed. It resulted in four groups consisting of sketches, drawings, models and prototypes. Validation was undertaken by means of an interview survey and further, presenting the taxonomy at an international conference. The results showed that no issues were raised by the respondents concerning the structure of the taxonomy or its components