基于可持续全球标准的生产系统有效性的确定

Yakubu Anakobe, B. Kareem, B. Akinnuli
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摘要

生产系统的有效性决定衡量既定行业的可持续性,要求开发解决全球可持续生产力挑战的模型。通过问卷调查和对尼日利亚五(5)家选定的生产公司的行业专家的口头访谈,确定了工业失败的属性(内部和外部):(A公司);(公司B);(公司C);(公司D)和(公司E)。生产系统有效性(PSE)因素:可用性A、性能P和质量Q被确定为在不确定性、风险或竞争下达到可管理的决策标准。PSE的初始度量是基于输入的内部因素(人力、机器、材料、能源、管理、信息/通信、资金和营销),而可持续性决策是使用全球可接受的标准来确定的。使用所述公司的数据(加权和正态)对模型进行检验,以确定其可持续发展绩效,而配对t检验统计量用于检验加权(WPSE)与正态(PSE)之间在5%的显著差异水平。结果表明,受竞争的性质/类型、风险和衡量标准的影响,最优决策是不同的。统计结果显示PSE与WPSE有显著性差异。在所有被调查的公司中,这些差异对最优决策几乎没有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Production System Effectiveness Based on Sustainable Global Standards
Production system effectiveness determine to measure the sustainability of the established industries demands the development of a model for resolving global sustainable productivity challenges. The attributes (internal and external) of industrial failure were determined using questionnaire administration and oral interviews of industry experts in five (5) selected production companies in Nigeria: (Company A); (Company B); (Company C); (Company D) and (Company E). Production System Effectiveness (PSE) factors: Availability A, Performance P, and Quality Q were determined to arrive at manageable decision-making criteria under uncertainty, risk, or competition. Initial measures of PSE were based on the input internal factors (manpower, machine, material, energy, management, information/communication, money, and marketing), while sustainability decisions were determined using globally acceptable standards. The model was tested using data (weighted and normal) from the stated companies to determine their sustainability performances, while paired t-test statistic was used to test the levels of significant difference between weighted (WPSE) and normal (PSE) at 5%. The results indicated varying optimum decisions which were influenced by the nature/types of competition, risk, and standard of measure. The statistical result showed that there was a significant difference between the PSE and WPSE. These differences had little or no effect on optimum decision-making in all companies investigated.
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