Adaptation of smart-object dimensions in the product design process to reduce household food waste

Q3 Engineering
M. Kamil, Chuah Ee Hua, M. Sani
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引用次数: 0

Abstract

Food waste is a huge problem across the world, but it's especially bad in developed countries such as Malaysia, according to the previous study. It is estimated that 1.3 billion tonnes of food are lost or wasted every year, accounting for one-third of all food produced for human consumption. Hence, the goal of this study is to supplement the solution within the framework of product design process based on the evaluation of food waste behaviour among household in Malaysia. As an approach for acquiring empirical data, a survey study was conducted with 52 respondents in Malaysia, including an analysis of similar existing products on the market, which was then followed by the design process. The findings suggest a multitude of design needs in preventing food waste behaviour among household in Malaysia, including the issues of the existing similar products on the market. Therefore, a few design criteria have been proposed and a set of semi-working food tracking models was successfully developed as a proposal for potential future development and production. It is hoped that the outcome of the study exhibits the synchronization of the product design process inside the smart-object dimensions in order to generate the design that helps to manage and reduce the amount of food waste created among household in Malaysia.
在产品设计过程中调整智能对象尺寸,以减少家庭食物浪费
根据之前的研究,食物浪费在世界各地都是一个巨大的问题,但在马来西亚等发达国家尤为严重。据估计,每年有13亿吨粮食损失或浪费,占供人类消费的粮食总产量的三分之一。因此,本研究的目的是在评估马来西亚家庭食物浪费行为的基础上,在产品设计过程的框架内补充解决方案。作为获取经验数据的一种方法,对马来西亚的52名受访者进行了一项调查研究,包括对市场上类似的现有产品进行分析,然后进行设计过程。研究结果表明,在防止马来西亚家庭中的食物浪费行为方面,有许多设计需要,包括市场上现有类似产品的问题。因此,提出了一些设计标准,并成功开发了一套半工作食品跟踪模型,作为潜在的未来开发和生产的建议。希望该研究的结果能够在智能对象维度内展示产品设计过程的同步性,从而产生有助于管理和减少马来西亚家庭中产生的食物浪费量的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of graphic engineering and design
Journal of graphic engineering and design Engineering-Computational Mechanics
CiteScore
1.40
自引率
0.00%
发文量
16
审稿时长
10 weeks
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