Assessing Product Lifecycle Sustainability Using Uncertain Design Information at Conceptual Stage

Author(s):  
Q. Z. Yang ◽  
B. Song

This paper presents a hierarchical fuzzy evaluation approach to product lifecycle sustainability assessment at conceptual design stages. The purpose is to advocate the emerging use of lifecycle engineering methods in support of evaluation and selection of design alternatives for sustainable product development. A fuzzy evaluation model is developed with a hierarchical criteria structure to represent different sustainability considerations in the technical, economic and environmental dimensions. Using the imprecise and uncertain early-stage product information, each design option is assessed by the model with respect to the hierarchical evaluation criteria. Lifecycle engineering methods, such as lifecycle assessment and lifecycle costing analysis, are applied to the generation of the evaluation criteria. This would provide designers with a more complete lifecycle view about the product’s sustainability potentials to support decision-making in evaluation and selection of conceptual designs. The proposed approach has been implemented in a sustainable design decision-support software prototype. Illustrative examples are discussed in the paper to demonstrate the use of the approach and the prototype in conceptual design selection of a consumer product.

2010 ◽  
Vol 44-47 ◽  
pp. 1449-1454 ◽  
Author(s):  
Peng Fei Zhao ◽  
Yi Zhang ◽  
Zong Bin Li ◽  
Xiao Yang Yuan

To solve the problem of anticorrosion design in early stage of manufacture, a formal method of anticorrosion design was proposed, and a formal model of conceptual design of anticorrosive materials was established by using hierarchical structure, individual color sets and unified color sets. Basing on the reasoning matrices which were established by using polychromatic sets theory, a formal reasoning method was proposed to realize the formal reasoning from the functional requirements to the selection of final scheme. This formal method of conceptual design for anticorrosion based on the polychromatic sets can make the design process of anticorrosion standardized, and facilitate the formal description of the reasoning process and its expression and operation in computer. The method made some useful explorationfor the CAPP integration design of anticorrosion.


2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Carlos Sepúlveda ◽  
Oscar Montiel ◽  
José M. Cornejo Bravo ◽  
Roberto Sepúlveda

Population pharmacokinetic (PopPK) models allow researchers to predict and analyze drug behavior in a population of individuals and to quantify the different sources of variability among these individuals. In the development of PopPK models, the most frequently used method is the nonlinear mixed effect model (NLME). However, once the PopPK model has been developed, it is necessary to determine if the selected model is the best one of the developed models during the population pharmacokinetic study, and this sometimes becomes a multiple criteria decision making (MCDM) problem, and frequently, researchers use statistical evaluation criteria to choose the final PopPK model. The used evaluation criteria mentioned above entail big problems since the selection of the best model becomes susceptible to the human error mainly by misinterpretation of the results. To solve the previous problems, we introduce the development of a software robot that can automate the task of selecting the best PopPK model considering the knowledge of human expertise. The software robot is a fuzzy expert system that provides a method to systematically perform evaluations on a set of candidate PopPK models of commonly used statistical criteria. The presented results strengthen our hypothesis that the software robot can be successfully used to evaluate PopPK models ensuring the selection of the best PopPK model.


2009 ◽  
Vol 419-420 ◽  
pp. 49-52 ◽  
Author(s):  
Dong Xing Cao ◽  
Zhan Wei Li ◽  
Hong Lai Li ◽  
Kai Cheng Qi

Existing conceptual design methods mainly focus on component modeling and representation, which makes them insufficient to help in the conceptual design stage. Port ontology, as an approach to formally expressing product design, has been effectively applied to concept description of a product. An incidence matrix support for product conceptual design based on port ontology is given in this paper. It formally represents and organizes product information in both functional ontology and physical domain in a hierarchy. Port compatibilities are used to map and link the two components. This makes it possible to build incidence matrix and decompose it into an independence matrix, and allow designers from different backgrounds with various interests to access the design ontology. A multilevel matrix is constructed to generate principle schemes of products at different levels of abstraction, which facilitates design decision-making through the whole conceptual design stage. A case study is also given to demonstrate the proposed approach.


Author(s):  
Joshua T. Gyory ◽  
Kosa Goucher-Lambert ◽  
Kenneth Kotovsky ◽  
Jonathan Cagan

AbstractThe ability to effectively analyse design concepts is essential for making early stage design decisions. Human evaluations, the most common assessment method, describe individual design concepts on a variety of ideation metrics. However, this approach falls short in creating a holistic representation of the design space as a whole that informs the underlying relations between concepts. Motivated by this shortcoming, this work leverages network theory to visualize and characterize features of a conceptual design space. To illustrate the utility of network theory for these purposes, a network composed of a corpus of solutions to a design problem and their semantic similarity is derived, and its design properties (e.g., uniqueness and innovation potential) are studied. This network-based approach not only characterizes features of individual designs themselves, but also uncovers more nuanced properties of the design space through studying emerging clusters of concepts. Overall, this work expands on developing research in design, demonstrating the value in applying network analytics to a conceptual design space as an engineering support tool to aid design decision-making.


2020 ◽  
Vol 27 (10) ◽  
pp. 2759-2784 ◽  
Author(s):  
Riju Jakhar ◽  
Deepak Verma ◽  
Ajay Pal Singh Rathore ◽  
Divesh Kumar

PurposeVisual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This study blends fuzzy numbers and Analytical Hierarchy Process to create a fuzzy evaluation model prioritizing the relative weights of visual merchandising dimensions of online fashion apparel store. This study will help the fashion retailers in creating more engaging and informative online stores leading to subsequent increase in online retail sales.Design/methodology/approachVisual merchandising dimensions and sub dimensions used by retailers for online stores were identified through review of literature and discussion with experts. Twenty experts were interviewed and their responses captured. The responses were analyzed using Fuzzy AHP technique resulting in prioritizing the dimensions according to the weight. For testing the stability of the results, sensitivity analysis was conducted.FindingsFour key dimensions and sixteen sub dimensions were extracted. Weights were calculated using FAHP. “Pictorial Presentation” has the highest weight followed closely by “Product Information” dimension. Amongst the sub-dimensions “Number of Product Images” scored highest followed by “Product Presentation mode”. “Alterable Background” scored the least weight.Originality/valuePrevious studies have identified Online Visual Merchandising dimensions and have also studied the impact of some of these dimensions on consumer buying behavior, but the relative significance has not been determined yet. This study fills the gap.


2021 ◽  
Vol 11 (16) ◽  
pp. 7400
Author(s):  
Qinghua Liu ◽  
Jiadui Chen ◽  
Weixing Wang ◽  
Qing Qin

In concept design, effective decision making and management of schemes can shorten the design cycle and improve product quality. The decision maker (DM)’s confidence is one of the critical factors affecting the conceptual design evaluation. Although many studies use quantitative linguistic evaluation for design scheme decision-making, which improves product conceptual design decision-making efficiency and effectiveness, few studies consider the confidence level of a decision. A conceptual design evaluation method based on Z-numbers is proposed to solve this problem, considering the customer requirements and the DM’s confidence. Firstly, the evaluation criteria are determined by analyzing customer requirements; then, the fuzzy analytic hierarchy process in the Z-numbers environment (Z-AHP) is used to determine the criteria weight; Finally, the fuzzy technique for order preference by similarity to ideal solution method in the Z-numbers environment (Z-TOPSIS) is used to evaluate the design schemes to obtain the optimal scheme. The proposed method is applied to the selection of the design scheme of the waste containers in the kitchen. The results show that considering the DM’s self-confidence can achieve a more reasonable and practical evaluation of the conceptual design scheme, and it is easier to obtain the best scheme.


2011 ◽  
Vol 243-249 ◽  
pp. 1774-1782 ◽  
Author(s):  
Quan Sheng Sun ◽  
Ji Feng Chang

This paper to bridge safety evaluation as the starting point, the current evaluation method is based on the collection of the Delphi method, the level of analysis, grey cluster theory and the theory of fuzzy evaluation DHGF comprehensive evaluation method is applied to bridge safety evaluation, the establishment of a bridge safety evaluation of the DHGF evaluation model, and based on actual projects will DHGF evaluation method used in the actual concrete bridge safety evaluation, so as to verify the DHGF bridge safety evaluation of the scientific method, accuracy and operability. The main innovation is the first time DHGF evaluation theory is applied to bridge the field of evaluation and the establishment of the corresponding class bridge safety evaluation criteria and indicators in order to achieve the safety of the bridge accurate evaluation.


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