A Concept Evaluation Method for Strategic Product Design with Concurrent Consideration of Future Customer Requirements

2010 ◽  
Vol 18 (4) ◽  
pp. 275-289 ◽  
Author(s):  
Chathura Withanage ◽  
Taezoon Park ◽  
Hae-Jin Choi
Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3469
Author(s):  
Ji Han ◽  
Pingfei Jiang ◽  
Peter R. N. Childs

Although products can contribute to ecosystems positively, they can cause negative environmental impacts throughout their life cycles, from obtaining raw material, production, and use, to end of life. It is reported that most negative environmental impacts are decided at early design phases, which suggests that the determination of product sustainability should be considered as early as possible, such as during the conceptual design stage, when it is still possible to modify the design concept. However, most of the existing concept evaluation methods or tools are focused on assessing the feasibility or creativity of the concepts generated, lacking the measurements of sustainability of concepts. The paper explores key factors related to sustainable design with regard to environmental impacts, and describes a set of objective measures of sustainable product design concept evaluation, namely, material, production, use, and end of life. The rationales of the four metrics are discussed, with corresponding measurements. A case study is conducted to demonstrate the use and effectiveness of the metrics for evaluating product design concepts. The paper is the first study to explore the measurement of product design sustainability focusing on the conceptual design stage. It can be used as a guideline to measure the level of sustainability of product design concepts to support designers in developing sustainable products. Most significantly, it urges the considerations of sustainability design aspects at early design phases, and also provides a new research direction in concept evaluation regarding sustainability.


2020 ◽  
Vol 18 (5) ◽  
pp. 1139-1151
Author(s):  
Jørgen Blindheim ◽  
Christer W. Elverum ◽  
Torgeir Welo ◽  
Martin Steinert

Purpose This paper proposes the combination of rapid prototyping and physical modelling as a set-based concept evaluation method in the early stage of new product development. Design/methodology/approach The concept evaluation method is applied in a case study of a new metal additive manufacturing process for aluminium, where a set of four extruder concepts has been modelled and evaluated. Rapid prototyping was used to produce plastic models of the different designs, and plasticine feedstock material was used to physically model the metal flow during operation. Finally, the selected concept has been verified in full-scale for processing of aluminium feedstock material. Findings The proposed method led to several valuable insights on critical factors that were unknown at the outset of the development project. Overall, these insights enabled concept exploration and concept selection that led to a substantially better solution than the original design. Research limitations/implications This method can be applied for other projects where numerical approaches are not applicable or capable, and where the costs or time required for producing full-scale prototypes are high. Practical implications Employing this method can enable a more thorough exploration of the design space, allowing new solutions to be discovered. Originality/value The proposed method allows a design team to test and evaluate multiple concepts at lower cost and time than what is usually required to produce full-scale prototypes. It is, therefore, concluded to be a valuable design strategy for the early development stages of complex products or technologies.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Yan-pu Yang ◽  
Hong-liang Tian ◽  
Sheng-jie Jiao

Product evaluation practices spread throughout from initial creative stages to final products before communicating them to the market. They emphasize on assessing design alternatives against specified criteria, which can help promote design process, ensure design quality, and diminish design risk before making a decision. However, how to identify and improve the reliability of product evaluation opinions toward design alternatives has an important role in adding additional insurance and reducing uncertainty to successful product design. Aiming at this issue, this study employs a consensus model by integrating network analysis and analytic hierarchy process (AHP) method. The consensus model is constructed to measure the consistency of evaluators’ preferences and determine the rounds of evaluation. Complex network theory is integrated into the product evaluation process for network analysis of evaluators’ opinions, which can help determine evaluators’ weights in each evaluation round dynamically by changing the network topology. To obtain the weight of product evaluation indices, the AHP method is applied to avoid subjectivity given by evaluators. The process of the proposed method is presented, and the details are illustrated using a product evaluation example. The case study demonstrates that the proposed method is promising for improving the consensus level of evaluators’ opinions, reducing the influence of subjectivity, and finally improving the quality of design decision-making.


2011 ◽  
Vol 230-232 ◽  
pp. 324-328
Author(s):  
Jing Kun Wang ◽  
Jin Feng Shan ◽  
Jian Jun Li ◽  
Jin Sheng Zhang

Reconfigurable design is becoming more and more important in the product design. Based on the interchange and the assembled character of the module, module design is the main technology of carrying out reconfigurable design. Reconfigurable design system in this paper uses function and structure module, builds the virtual design floor to decompose and mapping the function and structure of the stone grinding equipment. Based on the equipment database created in Pro/Engineer software, this software can design, modify and assemble the module and the whole product according to the customer requirements. The application effect of this software is prefect.


2016 ◽  
Vol 30 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Varun Tiwari ◽  
Prashant Kumar Jain ◽  
Puneet Tandon

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