Sustainable food smart manufacturing technology

智能制造 业务 制造工程 计算机科学 工程类
作者
Binbin Wu,Bangjun Gao,Wei Xu,Hongxun Wang,Yang Yi,R Premalatha
出处
期刊:Information Processing and Management [Elsevier]
卷期号:59 (1): 102754-102754 被引量:14
标识
DOI:10.1016/j.ipm.2021.102754
摘要

• Food processing and presents a modern framework to guide potential assessments. • Investigated utilizing the evaluation method for a number of chosen innovations. • Techniques are to select the appropriate alternate for SFIMT technologies. At present, the research and development in the food processing technology sector have generally been driven by the large manufacturing drivers that enhance the effectiveness of the economic scale. Increasing demand for high-quality, innovative texture-building foods, consumer requirements for customized products (i.e., fat, sugar, and micronutrient content), and the limited availability of ingredients and services are pressuring the business industry to use innovative technology to allow a more sustainable food supply. People need a successful approach for potential industrial technologies, and one of the key elements of the industry is Sustainable Food Smart Manufacturing Technology (SFIMT). Advanced methods and techniques are needed to select the appropriate alternate for SFIMT technologies. This paper summarizes technology in food processing and presents a modern framework to guide potential assessments. An innovative empirical evaluation method is proposed to provide several criteria for recognizing the suitability of different food technology for future SFIMT systems. Finally, the analysis value is investigated by utilizing the evaluation method for a number of chosen innovations with promising prospects in future food processing.
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