مقاله انگلیسی مرور اصولی پایداری اجتماعی هوش مصنوعی در طراحی محصول
Abstract
Keywords
Introduction
literature review
Methodology
Results
Discussion
Conclusion
References
Abstract
Emerging technologies such as artificial intelligence help operations management achieve sustainability. However, in sustainable operations management studies, scholars pay less attention to product design, which can be highly affected by artificial intelligence. In addition, sustainability is perceived as maintaining economic development while limiting environmental harm caused by human activity. Therefore, social sustainability is treated as peripheral compared to economic and environmental sustainability. However, social sustainability now has gained more attention because it is the basis on which meaningful economic and environmental sustainability can be valid. Thus, I systematically reviewed present studies on product design considering artificial intelligence to understand what types of social sustainability are achieved when applying artificial intelligence to product design. This study discovered artificial intelligence can improve social sustainability in product design, but social sustainability diversity is necessary. These findings can contribute to the inclusion of different types of social sustainability in product design when using artificial intelligence.
Introduction
Emerging technologies, as competitive resources, help operations management become more sustainable by meeting the needs of the present and future generations in economic, environmental, and social aspects [1]. The three aspects of sustainability are based on three pillars of sustainability [2]. Sustainable operations management can advance these activities not only in the supply chain of a product but also in new product development, including product design [3]. On top of sustainable operations management, these technologies, such as artificial intelligence, can improve the performance of the activities. Economic sustainability has been related to operational costs such as production and manufacturing costs [4]. In the economic aspect, association rule mining and decision trees enabled companies to develop a new digital camera [5] and a new smart phone [6] efficiently and effectively. Rough set theory and decision trees helped a manufacturer to design a new notebook visual aesthetic that will decrease consumer complaints and increase user experience [7].