Abstract
For continuous growth and sustaining the competitiveness of a company, product developers spend most of their time making crucial decisions to address a great variety of unpredictable and uncontrollable information. Several mathematical approaches have already been adopted to aid the developers in selecting the best product concept for meeting customers’ requirements and exceeding their expectations. However, those methods do not cope with fully revealed developers’ preferences and do not take into account the random distribution of the target values of engineering characteristics (ECs). In this paper, the application of a quality function deployment (QFD)-based model and a stochastic dominance-based method is presented for product concept development. The first phase in the approach is to construct a product planning house of quality (PPHoQ), which is the core and the engine of the entire QFD model. This model depicts the relationship between the customers’ requirements (CRs) and the ECs for a product. The proposed approach addresses both the relationships between CRs and ECs, in addition to the correlations among the ECs. In this study, developers are invited to express their preferences using different types of linguistic terms dependent on their diverse backgrounds and understanding levels of the product. Based on the outcomes of the PPHoQ process, a variety of alternative concepts can be created. The alternatives are then prioritized and ranked in the second phase. The proposed approach facilitates the random distribution with stochastic variables rather than fuzzy methods to obtain more realistic product concept alternatives. Several examples and comparative results further illustrate that unbalanced linguistic terms and stochastic dominance efficiently endow the product concept selection model with uncertain information and the random distribution in a realistic style.
Highlights
Changing customer desires and globally dispersed product design activities present tremendous challenges to companies these days as they respond to rapidly evolving international markets
This research focuses on providing a novel approach to addressing these issues in the customer requirements (CRs) identification, prioritization, and translation stages, in addition to the product concept design and selection stages
The proposed integrated method allows the prioritization of CRs to be translated and product concept alternatives to be designed in accordance with the information asymmetry
Summary
Changing customer desires and globally dispersed product design activities present tremendous challenges to companies these days as they respond to rapidly evolving international markets. The two initial steps seek to generate new and valuable innovative products for customers; these steps have a tremendous impact on the organization, as they shape the products that are Complex & Intelligent Systems offered [5] Given their critical role, these early stages have received considerable attention in the literature [6,7]. The inherent uncertainty in constructing the PPHoQ makes it complicated to systematically select the best product concept during the development process. (3) Eliciting the target value distributions of ECs to form an effective tool for determining the best alternative To achieve these purposes, a novel approach for analyzing and satisfying CRs by employing development technology and handling the information distribution is proposed. In “Conclusion”, the key findings are summarized and conclusions are drawn
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
