供应链质量控制模型构建的参数设置比较  

Comparative Study on Parameter Design of Quality Control Modeling in Supply Chain

作　　者：段春艳[1] 黄志明 武小军[1] 姜睿雅[3] 

机构地区：[1]同济大学经济与管理学院,上海200092 [2]上海挚达科技发展有限公司,上海200433 [3]中共烟台市委党校,山东烟台264000

出　　处：《同济大学学报（自然科学版）》2014年第8期1292-1297,共6页Journal of Tongji University:Natural Science

基　　金：上海市优秀学术带头人计划(11XD1405100);上海市战略性新兴产业重点项目(第二批沪经信技(2013)152号);上海市信息化发展专项资金(1374648649906)

摘　　要：针对供应链质量控制中的不确定性问题,改进已有质量参数离散情况下的供应链质量控制模型,进行质量参数连续情况下供应链质量控制模型的构建与求解.通过质量参数离散和连续情况下供应链质量控制模型的建模假设、建模过程及案例计算对比表明,质量参数连续情况下的供应链质量控制决策比质量参数离散情况下的供应链质量控制决策更能精确化地反映实际情况,降低了供应链质量控制的不确定性;实际中质量预防水平和质量检验水平分别随对应投入变化的趋势近似服从指数分布,可以为制造商决策最优质量预防投入、购买商决策最优质量检验投入提供支持和依据.The quality control model was constructed and solved in supply chain with continuous quality parameters by improving the existing quality control model in supply chain of discrete quality parameters to solve the uncertain problems in quality control of supply chain.Moreover,a comparative study was made of the modeling assumptions,modeling process and case calculation in quality control model of supply chain under continuous and discrete quality parameters.The results show that the quality control decisions of supply chain with continuous quality parameters can reflect the practical situation more accurately than the quality control decisions of supply chain with discrete quality parameters; in addition,the uncertainty of quality control in supply chain is decreased by the quality control model of supply chain with continuous quality parameters; moreover,the changes tendency of the quality prevention level and quality inspection level along with the change of corresponding inputs are approximate in accordance with exponential distribution,and this situation would provide support and basis for the decisions of manufacturer＇ s optimal quality prevention inputs and retailer＇s optimal quality inspection inputs.

关 键 词：质量控制 质量参数 连续分布 

分 类 号：F253.3[经济管理—国民经济]