运用层次分析法和模糊层次分析法对云制造整体可持续性因素进行优先排序

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Scientific Journal of Silesian University of Technology-Series Transport Pub Date : 2023-06-01 DOI:10.20858/sjsutst.2023.119.3
M. K. Sharma
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引用次数: 0

摘要

在全球竞争激烈的环境下,随着资讯及通讯科技的发展,业界正采取新的策略以维持发展。云制造是一种新技术,它利用数据分析来做出更好的决策,从而提高生产效率、成本和能效。在制造业中,对清洁环境和资源优化利用的意识日益增强,促使我们在可持续发展的背景下研究云制造。因此,通过文献综述,确定了大量影响云制造的社会、环境和经济因素,并通过AHP和模糊AHP方法获得了专家对这些因素的意见和优先级。根据最终获得的结果,“资源的有效利用”是采用云制造过程的最重要因素,而“远程材料监控”是考虑的所有因素中最不重要的因素。根据一致性比的取值,发现结果是一致和准确的。社会、环境和经济因素所占的百分比证明了云制造过程是一个可持续的制造过程。
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PRIORITIZATION OF OVERALL SUSTAINABILITY FACTORS OF CLOUD MANUFACTURING THROUGH AHP AND FUZZY AHP APPROACH
In this global competitive environment, with the recent advancement in information and communication technologies, the industries are adopting new strategies to sustain. Cloud manufacturing is a new technology that utilizes data analytics for better decision-making resulting in more productive, cost, and energy-efficient operations. Increasing awareness towards a clean environment and optimum utilization of resources in manufacturing motivate us to study cloud manufacturing in the context of sustainability. Therefore, a significant number of social, environmental, and economic factors of cloud manufacturing are identified through literature review, and experts’ opinions and prioritization of these factors are obtained through the AHP and Fuzzy AHP methods. As per the final results obtained, “Efficient use of resources” is the most significant factor for the adoption of cloud manufacturing process and “Remote material monitoring” is the least significant factor amongst all the factors taken under consideration. The results are found to be consistent and accurate as per the value of consistency ratio. And the percentage obtained for social, environmental, and economic factors proves the cloud manufacturing process to be a sustainable manufacturing process.
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
52
审稿时长
20 weeks
期刊最新文献
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