Evaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach

Author(s):  
C. Y. Ng ◽  
K. B. Chuah

Today “ecodesign” is a necessary consideration in the product development process. With increasing general awareness of the need for environmental production and more stringent regulatory requirements, manufacturers have to try to minimize their environmental impact. Life-cycle assessment (LCA) methodology is a generally accepted quantitative approach that can be applied to support environmental impact evaluations of a product. However, despite the time-consuming and resource-consuming attributes of the LCA, it has difficulty to deal with uncertain information. Therefore, LCA is yet to be a practical approach for environmental impact evaluation, particularly, during new product development (NPD). This paper proposes an approach to evaluate the environmental performance of design alternatives during NPD. The use of multiple criteria decision-making (MCDM) approaches with LCA methodology for the evaluation of design alternatives’ environmental performance during NPD processes is first discussed. The proposed approach integrates analytic hierarchy process (AHP) and fuzzy set theory (FST) with evidential reasoning (ER) in the evaluation of environmental performance to prioritize different design options. A case study is described to illustrate the use of the proposed method.

10.5772/56816 ◽  
2013 ◽  
Vol 5 ◽  
pp. 42 ◽  
Author(s):  
Elisa Battistoni ◽  
Andrea Fronzetti Colladon ◽  
Laura Scarabotti ◽  
Massimiliano M. Schiraldi

The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.


2011 ◽  
Vol 9 (2) ◽  
pp. 157-162
Author(s):  
Valério Antonio Pamplona Salomon ◽  
Sandra Miranda Neves ◽  
Jefferson Olegário de Paula ◽  
Marcos Rolando Piccilli ◽  
Carlos Eduardo Sanches da Silva

2017 ◽  
Vol 19 (03) ◽  
pp. 1750014
Author(s):  
C. Y. Ng ◽  
K. B. Chuah

Owing to the rise of societal awareness and hence governmental quest for environmental conservation worldwide, environmental friendliness in products has become a critical design consideration for all manufacturers during new product development. Life Cycle Assessment (LCA) is a comprehensive method to quantitatively assess the environmental burdens of products or services. However, such studies are difficult to carry out at the early product development process because of uncertain or limited product information. Also, LCA is a time and resource-consuming methodology. This paper proposes a shortcut approach to support product designers to carry out the environmental impact evaluations especially in the initial product development stage. This paper discusses the key challenges of implementing environmental impact evaluation in new product development. The combined Evidential Reasoning (ER) and Fuzzy Set Theory (FST) approach is applied to handle the uncertain information of the environmental data and deficiency of LCA. The result demonstrates the superiority of the combined ER and FST for evaluating several design alternatives while the uncertain information has been considered.


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