工业工程使用 IBM SPSS 统计

3 Pub Date : 2024-03-02 DOI:10.46632/jeae/2/3/4
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引用次数: 0

摘要

工业工程,大多数历史学家都认为,工业革命是工业工程专业的开端。纺织机的发明和蒸汽机(可能是最重要的发明)是帮助纺织业将传统手工作业机械化的创新之一。这些创新还创造了规模节约,首次使集中式设施的商业生产具有吸引力。由于这些发展而建立起来的工厂就是类似生产系统的想法的起源。此外,有人提出,莱昂纳多-芬奇可能是第一位制造工程师,因为有证据表明,大约在 1500 年,他通过观察工人铲土的速度,用科学分析了人类的劳动。为了提高效率,工业工程师改进了设计和程序。这有利于企业节省人力、原材料、时间和资金。IBM SPSS Statistics 由于其友好的用户界面和广泛的功能集,您的公司可以轻松地从数据中获得有用的见解。先进的统计技术确保了高准确性和良好的决策。从数据管理和准备到报告和分析,涵盖了整个分析生命周期。感知质量、客户期望、感知价值、客户满意度、客户投诉和客户忠诚度。Cronbach's Alpha 可靠性结果。模型的总体 Cronbach's Alpha 值为 0.581,表明可靠度为 58%。从文献综述来看,上述 46%的 Cronbach's Alpha 值模型可以考虑进行分析。模型的 Cronbach's Alpha 总分为 0.581,表示可信度为 58%。上述文献综述中 46%的 Cronbach's Alpha 值模型可用于分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial Engineering Using IBM SPSS Statistics
Industrial Engineering, Most historians agree that the Industrial Revolution is when the profession of industrial engineering had its start. The invention, the spinning jenny, and—possibly most significantly—the steam engine were among the innovations that helped mechanize traditional manual tasks in the textile industry. These innovations also created scale savings that for the first time that made commercial production in centralized facilities appealing. The factories built as a result of these developments are where the idea of something like the production system originated. Also, it has been proposed that Leonardo Vinci may have been the first manufacturing engineer as there is proof that he used science to analyze human labor by observing how quickly a laborer could shovel soil approximately in 1500.Both the producers and the final consumers of a product value industrial engineering. To improve efficiency, industrial engineers enhance designs and procedures. This benefits businesses since it conserves people, raw materials, time, and money. IBM SPSS Statistics Your firm can easily derive useful insights from your data because to its user-friendly interface and extensive feature set. High accuracy and good decision-making are ensured by advanced statistical techniques. The entire analytics lifecycle is covered, from data administration and preparation to reporting and analysis. Perceived quality, Customer expectations, Perceived value, Customer satisfaction, Customer complaints, and Customer loyalty. The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .581 which indicates 58% reliability. From the literature review, the above 46% Cronbach's Alpha value model can be considered for analysis. the outcome of Cronbach's Alpha Reliability. The model's total Cronbach's Alpha score is .581, which denotes a 58% dependability level. The 46% Cronbach's Alpha value model mentioned above from the literature review may be used for analysis.
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