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Although concept evaluation has attracted much attention, collaborative concept evaluation has received minimal attention. In this work, we identify problems and propose solutions regarding collaborative concept evaluation. First, we reviewed past projects and interviewed evaluators with international design experiences to conclude that concept evaluation criteria are not established but constructed. Second, we apply the psychology of Brunswik's Lens model to propose that providing multiple concept aspects improve collaborative concept evaluation. Three experimental studies demonstrate that our proposed Concept Aspect Profile (CAP) model (1) is superior to existing concept evaluation models, (2) differentiates between breakthrough new product concepts and incremental new product concepts, and (3) increases the likelihood that a concept receives the Industrial Design Excellence Award (IDEA). This work contributes to marketing research of concept evaluation as well as provides implications for designers.

Whereas there is general satisfaction with straightforward picture‐board techniques for testing me‐too and brand extension product concepts, there is a widely held belief that such techniques are inadequate in accurately gauging the appeal of truly innovative concepts. “Living with the concept” is an alternative method which requires participants to keep material describing the concept at home for a period of time. During this time they are asked to think about the concept. At the end of the fixed period participants record their attitudes and likely purchase intention for the concept. Although this method is considerably more costly and time consuming, it continues to grow in popularity, supported by the lay‐beliefs that “time to think” affects participants’ responses to the concept and makes such responses more predictive of marketplace success. Reports on an empirical study that provides a controlled test of the first of these beliefs. States that results showed that time per se had no effect on responses, but argues that more systematic “thought‐related” exercises within concept tests may lead to better prediction of marketplace success for innovative products.

Once alternative attachment concepts for a specific application have been generated, an evaluation tool needs to be used to select the “best” attachment concept based on given design objectives. Part 6 of this series presents a quantitative evaluation tool to select the optimal attachment concept based on structural performance, ease of manufacture, or ease of assembly as primary design objectives. Ways to consider secondary objectives in the evaluation process to handle design problems with multiple objectives are also presented.

The purpose of this paper is to examine the influence of innovativeness, change seeking and cognitive effort on consumer responses to traditional versus virtual testing environment.

The empirical study collects concept evaluations of five heterogeneous consumer appliances, from 400 members of an online panel. Generalizability theory (hereafter G theory) is used to assess the psychometric quality of the evaluation data in different testing environments.

The results show that subjects with high innovativeness and change seeking report significantly more favorable concept evaluations and generate better quality data. However, the effect of innovativeness on testing outcomes and data quality would be reduced in virtual testing environment.

The results indicate that using firm or industry norms to interpret the testing outcome will be biased unless it accounts for whether the screening processes result in equally innovative or variety seeking samples of respondents.

Managerially, the current results indicate that a product manager wanting to concept test a pool of appliance concepts can benefit from screening for the respondents, who will provide higher quality concept testing data in a traditional testing environment. However, the effects of traits on data quality are mitigated in a virtual testing environment. The findings provide a surprising insight that subject selection is not a more critical issue in virtual testing.

Concept design practices in engineering are not common across industry or academia. There are a number of well-known tools and methods acknowledged as useful in facilitating concept designing, that is, to assist idea generation, aid evaluation and final selection of one winning concept from many. Combinations of these popular concept design tools and methods provide various systematic methodologies by which practitioners propose to conduct or teach concept designing. In this paper, effective practices and trends are observed through the application of a specific concept design methodology over a range of different projects in electromechanical systems design.

The concept design methodology utilised in this study has been developed through the adoption of various tools and methods shown to be beneficial to concept designing, supported by previous positive experiences and successful utilisation associated with electromechanical systems research projects in academia. Each stage of the methodology is discussed and six case studies are presented, which are used to explore effective practices for concept designing.

Analysis of the case study data reveals the most popular criteria for the selection of concepts in electromechanical systems design, the number of selection criteria and number of initial concepts ideally required to converge on a final winning concept more efficiently, that is without the need for a more detailed second stage of selection using performance metrics.

Rarely are detailed studies undertaken in concept design, first, to address the justification for the concept design methodology adopted and, second, to show how effective practices emerge through the analysis of non-subjective data over a number of concept design projects. Although the paper uses only six case studies in electromechanical systems design, it is hoped that the approach presented promotes the possible future development of a framework for verification of concept design methodologies across different products, sectors and user groups.

The purpose of this paper is to describe the framework of conceptual design support tool (CDST) developed to assist designers during conceptual design process. The premise of the study is that, by combining human creativity with computer capabilities, it is possible to perform conceptual design process more efficiently than solely manual design. The study aims to show how conceptual design knowledge can be captured from experienced designers and kept in the computer system for later use and how the developed tool assists designers by handling some of the repetitive and time‐consuming tasks.

A conceptual design process model, which integrates systematic design approach with knowledge‐based system, is proposed. Based on this model, a CDST, which consists of function library, alternative concepts database, different modules for conceptual design activities, and a knowledge‐based system is developed. The alternative concepts database is built based on design reuse philosophy. Furthermore, the tool is designed to accept and save new concepts from the user through its knowledge acquisition module without modifying the source code. The CDST is developed using public domain open source programming environments namely CLIPS, Python, wxPython, and PyCLIPS.

Through its graphical user interface, CDST assists designers in performing the conceptual design process such as functional modelling, using standard vocabularies of functions, generating concepts and displaying on morphology chart, concept combination, and concept evaluation. The functionality and interaction between the user and the CDST is demonstrated with an example.

Currently, the alternative concepts database consists of concepts from subsea process equipment design and few general mechanical designs. The database can be enhanced by adding more concepts through the knowledge acquisition module provided.

The tool can be used as a knowledge management system in industry by capturing expertise knowledge and to train novice designers. It augments designer's knowledge by providing concepts from past designs.

The research output from this paper can be valuable resource in industry to support designers with computers. The research represents one of the attempts to develop domain independent conceptual design tool that can acquire new concepts throughout its lifetime.

This paper aims to describe the selection of the ideal variable inlet concept group by using results of aerodynamic investigations, system safety analyses and integration studies.

Aerodynamic and functional inlet requirements are explained and variable inlet concept groups are introduced. The concept evaluation by means of a weighted point rating is presented. The respective concept groups are analysed and evaluated regarding economic, functional and safety requirements.

By means of this evaluation, the concept group that adjusts the inlet geometry by rigid segment repositioning is identified as most suitable concept group.

The early selection of the most suitable concept group enables more detailed subsequent concept investigations, potentially enabling the technology of variable inlets for future commercial aircraft.

Judicious application of concept tests to specific situations contributes not only to the success of the product but also to the success of the product manager. Recognizing respondent limitations helps product managers estimate risk of product failure as well as explain failure to higher management. Respondents have limited ability to keep track of large numbers of items. New situations make categorization difficult. Respondents can seldom imagine or project beyond the test into an actual buying situation. Inadequate risk evaluation hampers decisions and ratings. Design tests falter when the full range of critical issues is not included. Managers improve success probabilities by using more stages in testing, simplifying requests of respondents, and adequately framing the evaluations to be made.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.

The purpose of this paper is to present a decisions support tool that can be applied in initial stages of design, for evaluating the investment feasibility of changeable and reconfigurable manufacturing design concepts, based on future demand predictions and their uncertainties. A quantitative model is proposed, which evaluates the discounted value of capital and operating costs of changeable manufacturing design concepts, based on essential characteristics regarding their type and extent of changeability.

Quantitative empirical modeling is applied, where model conceptualization, validation, and implementation are central elements, using two Danish manufacturing companies as cases.

The applicability of the model is demonstrated in the two case companies, highlighting differences in type, extent, and level of feasible changeability, as a result of differences in product and production characteristics.

Further studies of changeability implementation should be conducted across industrial fields in order to generalize findings.

There is currently limited support for the conceptual design phase of changeable and reconfigurable manufacturing, where critical decisions regarding type, extent, and level of changeability must be made, regardless of high degrees of uncertainty about future demand scenarios.

This paper expands previous research on design for changeability and reconfigurability, by explicitly considering changeability as a capability that can be enabled in various ways for various purposes in different industrial contexts. The proposed model and the case implementations provide important knowledge on the transition toward changeability in industry.