{"title":"肯尼亚制糖企业缓冲库存实践与供应链杠杆。","authors":"A. Oloo","doi":"10.61108/ijsshr.v1i1.20","DOIUrl":null,"url":null,"abstract":"This research paper aimed at establishing the relationship between Buffer stocks Practices and supply chain leverage of sugar manufacturing firms in Kenya. The specific objective of the study was; to determine the effect of buffer stocks practices on supply chain leverage of sugar manufacturing firms in Kenya. The research study was anchored on supply chain road map theory. The research study methodology followed a descriptive approach where; the target population of the study was 241 respondents. A census survey was conducted on all the 15 registered sugar manufacturing firms in Kenya. From the study, 20 respondents were selected for the pilot study, constituting 8%, which is within the recommended range of, 1% to 10% of the population. Data collected was analyzed by both descriptive and inferential statistics using statistical package for social sciences (SPSS Version 28). Descriptive statistics involved calculation of means, frequencies, percentages and standard deviation. Model diagnostic tests such as Normality test, Multicollinearity, Heteroskedastity were also executed for determination of fitness of regression models. Inferential statistics further included the use of Pearson correlation coefficient to determine the extent of relationship between the independent study variables, while multiple regression analysis was used to establish the relationship between dependent variable and independent variables. The results from the analyzed data were then presented using figures, charts, tables and histograms to facilitate data interpretation. Findings from data analysis indicated that green stocks practices significantly affect supply chain leverage of sugar manufacturing firms in Kenya. This yielded a regression model Y = 2.507 + 0.117X. The findings from the regression models indicated that buffer stocks practices, significantly affected supply chain leverage of sugar manufacturing firms in Kenya. The study further recommended that sugar manufacturing firms in Kenya, to keep buffer stocks to overcome any uncertainties in the demand and supply markets and support continuous production even with seasonal variation in the supply of raw materials to ensure full capacity of operations, production efficiency, cost control and environmental protection. As a result idle time for the machines and people will be completely zero rated, through continued production process without a halt, even when there is shortage of raw materials in the market, hence continued supply of sugar products in the market.","PeriodicalId":438312,"journal":{"name":"International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Buffer Stock Practice and Supply Chain Leverage of Sugar Manufacturing Firms in Kenya.\",\"authors\":\"A. Oloo\",\"doi\":\"10.61108/ijsshr.v1i1.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper aimed at establishing the relationship between Buffer stocks Practices and supply chain leverage of sugar manufacturing firms in Kenya. 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Inferential statistics further included the use of Pearson correlation coefficient to determine the extent of relationship between the independent study variables, while multiple regression analysis was used to establish the relationship between dependent variable and independent variables. The results from the analyzed data were then presented using figures, charts, tables and histograms to facilitate data interpretation. Findings from data analysis indicated that green stocks practices significantly affect supply chain leverage of sugar manufacturing firms in Kenya. This yielded a regression model Y = 2.507 + 0.117X. The findings from the regression models indicated that buffer stocks practices, significantly affected supply chain leverage of sugar manufacturing firms in Kenya. The study further recommended that sugar manufacturing firms in Kenya, to keep buffer stocks to overcome any uncertainties in the demand and supply markets and support continuous production even with seasonal variation in the supply of raw materials to ensure full capacity of operations, production efficiency, cost control and environmental protection. 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引用次数: 1
摘要
本研究论文旨在建立缓冲库存做法和肯尼亚制糖企业供应链杠杆之间的关系。研究的具体目的是;确定缓冲库存做法对肯尼亚制糖企业供应链杠杆的影响。本研究以供应链路线图理论为基础。研究方法采用描述性方法,其中;这项研究的目标人群是241名受访者。对肯尼亚所有15家注册的制糖公司进行了普查调查。从该研究中,选择了20名受访者进行试点研究,占人口的8%,在建议的1%至10%的范围内。收集的数据通过描述性和推断性统计分析,使用社会科学统计软件包(SPSS Version 28)。描述性统计包括均值、频率、百分比和标准差的计算。模型诊断检验,如正态性检验,多重共线性,异方差,以确定回归模型的适应度。推断统计进一步包括使用Pearson相关系数来确定自变量之间的关系程度,而使用多元回归分析来建立因变量与自变量之间的关系。然后用图形、图表、表格和直方图展示分析数据的结果,以方便数据解释。数据分析的结果表明,绿色股票实践显著影响肯尼亚制糖企业的供应链杠杆。得到回归模型Y = 2.507 + 0.117X。回归模型的结果表明,缓冲库存的做法,显著影响肯尼亚制糖企业的供应链杠杆。研究报告进一步建议肯尼亚的制糖公司保持缓冲库存,以克服供需市场的任何不确定因素,即使原料供应有季节性变化,也要支持持续生产,以确保业务的全部能力、生产效率、成本控制和环境保护。因此,机器和人的闲置时间将完全为零,即使在市场上原料短缺的情况下,也会继续进行生产过程,从而持续供应市场上的糖产品。
Buffer Stock Practice and Supply Chain Leverage of Sugar Manufacturing Firms in Kenya.
This research paper aimed at establishing the relationship between Buffer stocks Practices and supply chain leverage of sugar manufacturing firms in Kenya. The specific objective of the study was; to determine the effect of buffer stocks practices on supply chain leverage of sugar manufacturing firms in Kenya. The research study was anchored on supply chain road map theory. The research study methodology followed a descriptive approach where; the target population of the study was 241 respondents. A census survey was conducted on all the 15 registered sugar manufacturing firms in Kenya. From the study, 20 respondents were selected for the pilot study, constituting 8%, which is within the recommended range of, 1% to 10% of the population. Data collected was analyzed by both descriptive and inferential statistics using statistical package for social sciences (SPSS Version 28). Descriptive statistics involved calculation of means, frequencies, percentages and standard deviation. Model diagnostic tests such as Normality test, Multicollinearity, Heteroskedastity were also executed for determination of fitness of regression models. Inferential statistics further included the use of Pearson correlation coefficient to determine the extent of relationship between the independent study variables, while multiple regression analysis was used to establish the relationship between dependent variable and independent variables. The results from the analyzed data were then presented using figures, charts, tables and histograms to facilitate data interpretation. Findings from data analysis indicated that green stocks practices significantly affect supply chain leverage of sugar manufacturing firms in Kenya. This yielded a regression model Y = 2.507 + 0.117X. The findings from the regression models indicated that buffer stocks practices, significantly affected supply chain leverage of sugar manufacturing firms in Kenya. The study further recommended that sugar manufacturing firms in Kenya, to keep buffer stocks to overcome any uncertainties in the demand and supply markets and support continuous production even with seasonal variation in the supply of raw materials to ensure full capacity of operations, production efficiency, cost control and environmental protection. As a result idle time for the machines and people will be completely zero rated, through continued production process without a halt, even when there is shortage of raw materials in the market, hence continued supply of sugar products in the market.