Evaluation of Sustainability Performance of Product Design Element Concepts Using Analytic Hierarchy Process

2013 ◽  
Vol 315 ◽  
pp. 799-808 ◽  
Author(s):  
Mohd Fahrul Hassan ◽  
Muhamad Zameri Mat Saman ◽  
Safian Sharif ◽  
Badrul Omar

ntegrating sustainable product design into the design process has been acknowledged nowadays by many companies for producing sustainable products. The integration should be implemented during the early stage of product development process so that the sustainability of the product can be evaluated before manufacturing the product. Although a number of studies have been conducted on the integration in many aspects along with many approaches, evaluation of the sustainability of the product during its total life-cycle while it is being designed has not been comprehensively investigated. In this paper, Analytic Hierarchy Process (AHP) is used to evaluate product design element concept during conceptual design stage by providing a weightage of sustainability metrics throughout the total life-cycle of product and finalize the preferred product design configuration by selecting the highest sustainability index of the design element concept. The approach is useful for product designers to design many concepts of product design elements and then to select the most likely sustainable design element to configure in one complete product. An example of an armed chair is used to demonstrate this approach.

BioResources ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 4065-4088
Author(s):  
H. N. Salwa ◽  
S. M. Sapuan ◽  
M. T. Mastura ◽  
M. Y. M. Zuhri

Starch is a natural polymer and eligible for short-term, single-use food packaging applications. Nevertheless, different starches have different features and properties determined by their botanical plant origins. This paper presents an approach that combines Shannon’s entropy and the Analytic Hierarchy Process method to aid the selection process of starch as matrix in green biocomposites for takeout food packaging design. The proposed selection system ranks alternative starches in terms of the key design elements, i.e. strength, barrier property, weight, and cost. Shannon’s entropy established corresponding weight values for the indicators selected. Six starches: wheat, maize, potato, cassava, sago, and rice were appraised using gathered data from the literature to determine their suitability as a more sustainable option. This study found that sago starch obtained the highest priority score of 26.8%, followed by rice starch (20.2%). Sensitivity analysis was then carried out to further verify the results; sago starch was at the top rank for five of six different scenarios tested. The results showed that sago starch is the starch that can best satisfy the design requirements. Despite the results attained, the selection framework used could be enhanced with a more comprehensive attributes assessment and extensive dataset.


2017 ◽  
Vol 19 (8) ◽  
pp. 2075-2088 ◽  
Author(s):  
Jully Tan ◽  
Raymond R. Tan ◽  
Kathleen B. Aviso ◽  
Michael Angelo B. Promentilla ◽  
Nik Meriam Nik Sulaiman

2012 ◽  
Vol 490-495 ◽  
pp. 2022-2026
Author(s):  
Pu Hong Li ◽  
Li Na Yang

Traditional evaluation methods of industrial design are more qualitative and hard to be applied to product development. Quantitative methods centralize the fuzzy evaluation. In this paper, an improved analytic hierarchy process (IAHP) is applied to evaluate industrial design, whose mathematical model and steps are described detailed. At last, an intelligent home service is used in a case of industrial design evaluation to explain the IAHP. This method can be improved to guarantee the accuracy of the evaluation results, but also be benefit for the implementation and outspread of product design.


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