Investigation of life cycle assessment barriers for sustainable development in manufacturing using grey relational analysis and best worst method

Author(s):  
Mahender Singh Kaswan ◽  
Rajeev Rathi
Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu

Adaptable design is a new design paradigm to create designs and products that can be easily changed to satisfy different requirements. Adaptable design aims at identifying the designs and products considering functionality, manufacturing efforts, customization and environment friendliness. This research focuses on adaptable design considering product adaptability. In this work, product adaptability is evaluated by three measures including extendibility of functions, upgradeability of modules, and customizability of components. Various design candidates created in adaptable design are evaluated by different life-cycle evaluation measures including product adaptability of design, part and assembly costs of manufacturing, and operationability by customers. Since different evaluation measures are modeled in different units, the grey relational analysis method is employed to integrate the different evaluation measures for prioritizing different design candidates. A case study is given to demonstrate the effectiveness of the introduced adaptable design approach.


Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu

A new method to evaluate design candidates in adaptable design is introduced in this research using the grey relational analysis approach. In this method, the functions of different adaptable design candidates are classified into fundamental functions and adaptable (optional) functions. These design candidates are evaluated by different life-cycle evaluation measures including adaptability of design, part and assembly costs of manufacturing, operationability by customers, etc. The grey analysis approach is employed in this research to integrate the different evaluation measures for prioritizing different design candidates with different fundamental and adaptable functions. A case study is given to demonstrate the effectiveness of the introduced approach.


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