{"title":"测量旁遮普(印度)纺织工业对其连接电力系统可靠性的意见及其对工业运营的影响","authors":"Harjit Singh Mangat, Harpuneet Singh","doi":"10.25728/ASSA.2019.19.1.613","DOIUrl":null,"url":null,"abstract":"The purpose of this research was to measure the opinion of textile industries of Punjab (India) towards the reliability of their connected power systems of the sole public utility company - Punjab State Power Corporation Limited considering the period from 2010 to 2014. Out of the 400 randomly selected, 148 registered textile industrial units from Central, North and South Punjab, respectively, were responded successfully by conducting the interviews using a questionnaire schedule and dropping questionnaires with the responders, over a period of two years from April 2015-April 2017 which revealed that majority of the industries from the whole Punjab was discontented towards the occurrence of planned outages, unplanned outages and load shedding, work efficiency of staff, condition of infrastructure and tariff structure except the limited number of units from Central Punjab that have shown agreement towards the different aspects of power system reliability. An internal consistency and intra-rater reliability using Cronbach’s alpha and Krippendorff’s Alpha, respectively, calculated, was found very decent. A Kruskal Wallis test was applied and mean rank of Central Punjab was found considerably higher followed by South and North Punjab for the majority of the variables. Dunn’s Bonferroni Post Hoc exposed that a Central Punjab is significantly different from both North and South Punjab but no statistical difference was found between the North and South Punjab. A Kruskal Wallis test statistic (H) and Mann Whitney test statistics (U) was used to calculate the overall effect sizes and the effect sizes between the groups for all the dependent variables, respectively. 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引用次数: 0
摘要
本研究的目的是衡量旁遮普(印度)纺织业对其唯一公用事业公司旁遮普国家电力有限公司连接电力系统可靠性的看法,考虑2010年至2014年期间。在随机选择的400家中,分别来自旁遮普省中部、北部和南部的148家注册纺织工业单位通过使用问卷表进行访谈并对受访者进行问卷调查,获得了成功的答复,从2015年4月到2017年4月的两年时间里,这表明整个旁遮普邦的大多数行业对计划内停电、计划外停电和甩负荷的发生、员工的工作效率、,基础设施状况和电价结构,但旁遮普中部有限数量的机组除外,这些机组在电力系统可靠性的不同方面表现出了一致性。分别使用Cronbach’s alpha和Krippendorff’s alpha计算的内部一致性和评分者内部可靠性被发现非常不错。应用Kruskal-Wallis检验,发现旁遮普省中部的平均等级高得多,其次是旁遮普省南部和北部的大多数变量。Dunn的Bonferroni Post Hoc揭露了旁遮普中部与旁遮普北部和南部有显著差异,但在旁遮普北部和南部之间没有发现统计差异。Kruskal-Wallis检验统计量(H)和Mann-Whitney检验统计量(U)分别用于计算所有因变量的总体效应大小和组间效应大小。在40个变量中,33个变量显示出统计学上的显著差异,其中28个、3个和5个变量分别出现在大、中、小效应区。
Measuring the Opinion of Textile Industries of Punjab (India) towards the Reliability of their Connected Power Systems and its Effects on the Industrial Operations
The purpose of this research was to measure the opinion of textile industries of Punjab (India) towards the reliability of their connected power systems of the sole public utility company - Punjab State Power Corporation Limited considering the period from 2010 to 2014. Out of the 400 randomly selected, 148 registered textile industrial units from Central, North and South Punjab, respectively, were responded successfully by conducting the interviews using a questionnaire schedule and dropping questionnaires with the responders, over a period of two years from April 2015-April 2017 which revealed that majority of the industries from the whole Punjab was discontented towards the occurrence of planned outages, unplanned outages and load shedding, work efficiency of staff, condition of infrastructure and tariff structure except the limited number of units from Central Punjab that have shown agreement towards the different aspects of power system reliability. An internal consistency and intra-rater reliability using Cronbach’s alpha and Krippendorff’s Alpha, respectively, calculated, was found very decent. A Kruskal Wallis test was applied and mean rank of Central Punjab was found considerably higher followed by South and North Punjab for the majority of the variables. Dunn’s Bonferroni Post Hoc exposed that a Central Punjab is significantly different from both North and South Punjab but no statistical difference was found between the North and South Punjab. A Kruskal Wallis test statistic (H) and Mann Whitney test statistics (U) was used to calculate the overall effect sizes and the effect sizes between the groups for all the dependent variables, respectively. Out of the forty variables, thirty-three has shown the statistically significant difference from which twenty-eight, three and five were found in the zone of large, intermediate and small effect size, respectively.
期刊介绍:
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.