scholarly journals An Extenics-Based Scheduled Configuration Methodology for Low-Carbon Product Design in Consideration of Contradictory Problem Solving

2021 ◽  
Vol 13 (11) ◽  
pp. 5859
Author(s):  
Shedong Ren ◽  
Fangzhi Gui ◽  
Yanwei Zhao ◽  
Min Zhan ◽  
Wanliang Wang ◽  
...  

Low-carbon product design involves a redesign process that requires not only structural module modification, but more importantly, generating innovative principles to solve design contradictions. Such contradictions include when current design conditions cannot satisfy design requirements or there are antithetical design goals. On the other hand, configuration tasks in the reconfiguration process are interdependent, which requires a well-scheduled arrangement to reduce feedback information. This study proposes an effective configuration methodology for low-carbon design. Firstly, configuration tasks and configuration parameters are designated through quality characteristics, and the directed network along with the associated values of configuration tasks are transformed into the design structure matrix to construct the information flow diagram. Then, the Extenics-based problem-solving model is presented to address design contradictions: low-carbon incompatibility and antithetical problems are clarified and formulated with a basic-element model; extensible and conjugate analysis tools are used to identify problematic structures and provide feasible measures; the Gantt chart of measures execution based on the information flow diagram is constructed to reduce feedback and generate robust schemes with strategy models. The methodology is applied to the vacuum pump low-carbon design, the results show that it effectively solves contradictions with innovative design schemes, and comparative analysis verifies the performance of Extenics.

2015 ◽  
Vol 26 (10-12) ◽  
pp. 321-339 ◽  
Author(s):  
Bin He ◽  
Jun Wang ◽  
Shan Huang ◽  
Yan Wang

Author(s):  
Tsai Chi Kuo ◽  
Hsiao Min Chen ◽  
Chia Yi Liu ◽  
Jui-Che Tu ◽  
Tzu-Chang Yeh

Author(s):  
Aijun Liu ◽  
Qiuyun Zhu ◽  
Xiaohui Ji ◽  
Hui Lu ◽  
Sang-Bing Tsai ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiranjit Das

PurposeThe purpose of this study is to analyze the effect of low carbon product design on firm's competitiveness and economic performance. It also examines the mediating role of the proactive environmental strategy and eco-innovation on low carbon product design, competitiveness and economic performance.Design/methodology/approachThrough a questionnaire-based survey, the data were collected from 69 Indian manufacturing firms and analyzed using a variance-based structural equation modeling (SEM) technique to test the proposed hypotheses.FindingsThe results show that the low carbon product design significantly improves firm's competitiveness and economic performance, and proactive environmental strategy significantly mediates the relationship between low carbon product design and firm's competitiveness.Practical implicationsThis study provides a framework for the adoption of low carbon product design. It demonstrates how manufacturing firms can implement environmental friendly product design. It also analyses the contextual factors that ensure a successful low carbon product design.Originality/valueThis article investigates the economic benefit of low carbon product design, thus filling lacuna in existing research.


2015 ◽  
Vol 79 (9-12) ◽  
pp. 1821-1828 ◽  
Author(s):  
Bin He ◽  
Jun Wang ◽  
Zhongqiang Deng

2020 ◽  
Vol 12 (10) ◽  
pp. 168781402097031
Author(s):  
Shedong Ren ◽  
Fangzhi Gui ◽  
Yanwei Zhao ◽  
Min Zhan ◽  
Wanliang Wang

In the initial stage of low-carbon product design, design information is always uncertain and incomplete, as well as the coupling properties between design attributes, thus it requires retrospective coordination for design conflicts resulting from the inclusion of low-carbon requirements. Reusing the prior design knowledge can promote design efficiency, however, the acquisition of similar cases knowledge not only needs to consider the similarity of design problems, but also the adaptability of candidate cases. This study presents an effective similarity determination model to support low-carbon product design, and targets of the proposed model are (1) to reasonably determine design ranges of attribute values for product cases retrieval by representing the uncertain design attributes with fuzzy set theory; (2) to construct an efficient indexing structure to generate the index set of similar cases based on the improved discretized highest similarity method by proposing two effective strategies; and, (3) to establish similarity estimation models for different types of attributes, and it calculates the information content of each attribute to evaluate the adaptability of cases based on the Information Axiom. The applicability of the proposed model is demonstrated through a case study of similar cases retrieval for the vacuum pump low-carbon design.


2012 ◽  
Vol 573-574 ◽  
pp. 745-749 ◽  
Author(s):  
Qi Fu Wu ◽  
Shuang Ling Yuan

Low-carbon Tourism Scenic spots are the key important part of Low-carbon Tourism industry, which is attached to natural ecological environment with massive carbon sink. Low-carbon tourism emphasizes low-exhausting, low-consuming and low-contamination, and compensate to carbon footprint through improving ecological environment. This article is based on establishing low-carbon scenic spots, suggests different methods to establish low-carbon scenic spots from several angle, like ecology conservation, low-carbon product design, daily energy-saving, low-carbon transportation, low-carbon accommodation, low-carbon sightseeing and catering service etc.


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