基于SCOR模型的循环质量链运作优化
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摘要
本文从资源循环利用中质量管理的理论和实践问题出发,对循环质量链的概念和体系结构进行了建模,并根据循环质量链中资金流、信息流、物流和风险流等方面的运作情况分别展开了讨论和分析。通过结合实际供应链企业的运作模型,得到了循环质量链下各种循环流运作特点以及优化策略。相关研究成果已经得到了专家肯定,主要研究工作及结论如下:
首先,本文提出了循环质量链管理的基本概念,并构建了其基本理论体系。通过修改供应链运作参考模型建立了一种循环质量链运作参考模型,整合了正向和逆向流程,让所有流程真正形成了循环运作,从产品质量、基本管理体系、可持续性发展等方面给出了质量水平评价的指标体系。试图建立了循环质量链管理的成本科目,通过总质量水平和总质量成本为多目标函数,为质量链管理决策者提供一种成本合理的实施方案,通过调整模糊规则表可以确保目标函数满足不同质量链发展阶段下的需要,并用算例进行了验证。
其次,建立了一种循环质量链下模糊自适应生产计划调度模型。在循环质量链运作参考模型的基础上,分析了正向和逆向生产信息的整合问题,讨论了生产运作中的质量扰动模型和系统稳定性。通过模糊量化因子整合了正向和逆向的生产信息,以便生产系统统一处理。采用模糊自适应在线计算提高了计划参数的鲁棒性,保证了生产系统对正向和逆向生产信息的快速响应。最后设计的算例证明该方案提高了用户需求响应性能。
再次,建立了循环质量链下的风险量化和控制机制。根据循环质量链运作参考模型,对其实施中可能遇到的风险进行了系统分析,从人员、设施、物料、法规、信息、环境等方面建立了风险评估的指标体系。讨论了各节点风险条件下的决策目标函数,提出了基于vague集的风险量化和风险策略决策。给出了偏好信息不确定下风险信息的几种集结模型,并分析了其不同应用特点,引入了基于vague集的风险视图,并用算例解释了本方案。
最后,讨论了循环质量链下牛鞭效应的量化和补偿策略。分析了循环质量链下物流和库存运作,通过库存量的对比实现了正向、逆向牛鞭效应的度量。通过分析循环质量链下牛鞭效应成因,从信息共享、可变提前期、订单分配、博弈行为等方面建立了一种综合补偿方案。引入供应驱动机制,讨论了供应驱动下供应商与制造商的博弈行为,通过设置合理的正向和逆向折扣求得博弈优化解。用算例解释了牛鞭效应的量化和缓解过程。
According to the theorical and practical issues of quality management in resource recycle, the concept and academic system of cycle quality chain are constructed here whose capital flow, information flow, logistics and risk flow,etc. are discussed and analyzed respectively. According to the operations model of supply chain cooperation, the characteristics and optimizing policies of all kinds of recycling flows in cycle quality chain are presented. Related researches are affirmed by several experts, and the main contents are as follows.
Firstly, this dissertation proposes the basic concept and academic system of cycle quality chain. A cycle quality chain operations reference model is built by revising the supply chain operations reference model and integrates the positive and reverse flows to form into a truly cycled operation. A quality level evaluation index system is built including product quality, basic management system and sustainable development quality, and the quality cost subjects of cycle quality chain management are tried to build to provide management decision makers with an reasonable costing implementation programme whose objective function can fit different needs in different developing stages by adopting fuzzy rule table and is verified by an example.
Secondly, a fuzzy adaptive production planning model of cycle quality chain is set up. On the basis of cycle quality chain operations reference model, the integration problems of positive and reverse production information, the quality disturbance modle and system stablity of production operation are all analyzed. Then a fuzzy adaptive production planing is proposed to integrate positive and reverse production information by fuzzy quantitative factors and to achieve robust performance and rapid response to production information by fuzzy adaptive online calculation. Lastly a designed case is presented to verify the improved response performance to user demand.
Thirdly, the quantitative and coltrolling mechanism of risks are built. According to the cycle quality chain operations reference modle, risks may be encountered in its implementation are systematically analyzed by risk evaluation index system comprising human, facility, materiel, laws, information and environment, etc. The decision making objective functions in risks, and quantitative risks, risk strategies decision models based on vague set are proposed. Several integrating functions of uncertain preference information with different integrating performance and application characteristics are analyzed and a risk view based on vague set is illustrated with examples.
Finally, the quantitative and compensating topologies of bullwhip in cycle quality chain are discussed. Through the analysis of logistics and inventory operations in cycle quality chain, a quantitative evaluation method for positive and reverse bullwhip effects is established by inventory comparison. Then a comprehensive compensation package is built to lessen the bullwhip effect through linked causes of the bullwhip effect ranging from information share, volatile leading time, order distribution and game action etc. A supply-driven mechanism is introduced whose gaming problem between suppliers and manufacturers is described and is solved by reasonable positive and reverse discount. A case is demonstrated the quantitative and decreased bullwhip effect.
首先,本文提出了循环质量链管理的基本概念,并构建了其基本理论体系。通过修改供应链运作参考模型建立了一种循环质量链运作参考模型,整合了正向和逆向流程,让所有流程真正形成了循环运作,从产品质量、基本管理体系、可持续性发展等方面给出了质量水平评价的指标体系。试图建立了循环质量链管理的成本科目,通过总质量水平和总质量成本为多目标函数,为质量链管理决策者提供一种成本合理的实施方案,通过调整模糊规则表可以确保目标函数满足不同质量链发展阶段下的需要,并用算例进行了验证。
其次,建立了一种循环质量链下模糊自适应生产计划调度模型。在循环质量链运作参考模型的基础上,分析了正向和逆向生产信息的整合问题,讨论了生产运作中的质量扰动模型和系统稳定性。通过模糊量化因子整合了正向和逆向的生产信息,以便生产系统统一处理。采用模糊自适应在线计算提高了计划参数的鲁棒性,保证了生产系统对正向和逆向生产信息的快速响应。最后设计的算例证明该方案提高了用户需求响应性能。
再次,建立了循环质量链下的风险量化和控制机制。根据循环质量链运作参考模型,对其实施中可能遇到的风险进行了系统分析,从人员、设施、物料、法规、信息、环境等方面建立了风险评估的指标体系。讨论了各节点风险条件下的决策目标函数,提出了基于vague集的风险量化和风险策略决策。给出了偏好信息不确定下风险信息的几种集结模型,并分析了其不同应用特点,引入了基于vague集的风险视图,并用算例解释了本方案。
最后,讨论了循环质量链下牛鞭效应的量化和补偿策略。分析了循环质量链下物流和库存运作,通过库存量的对比实现了正向、逆向牛鞭效应的度量。通过分析循环质量链下牛鞭效应成因,从信息共享、可变提前期、订单分配、博弈行为等方面建立了一种综合补偿方案。引入供应驱动机制,讨论了供应驱动下供应商与制造商的博弈行为,通过设置合理的正向和逆向折扣求得博弈优化解。用算例解释了牛鞭效应的量化和缓解过程。
According to the theorical and practical issues of quality management in resource recycle, the concept and academic system of cycle quality chain are constructed here whose capital flow, information flow, logistics and risk flow,etc. are discussed and analyzed respectively. According to the operations model of supply chain cooperation, the characteristics and optimizing policies of all kinds of recycling flows in cycle quality chain are presented. Related researches are affirmed by several experts, and the main contents are as follows.
Firstly, this dissertation proposes the basic concept and academic system of cycle quality chain. A cycle quality chain operations reference model is built by revising the supply chain operations reference model and integrates the positive and reverse flows to form into a truly cycled operation. A quality level evaluation index system is built including product quality, basic management system and sustainable development quality, and the quality cost subjects of cycle quality chain management are tried to build to provide management decision makers with an reasonable costing implementation programme whose objective function can fit different needs in different developing stages by adopting fuzzy rule table and is verified by an example.
Secondly, a fuzzy adaptive production planning model of cycle quality chain is set up. On the basis of cycle quality chain operations reference model, the integration problems of positive and reverse production information, the quality disturbance modle and system stablity of production operation are all analyzed. Then a fuzzy adaptive production planing is proposed to integrate positive and reverse production information by fuzzy quantitative factors and to achieve robust performance and rapid response to production information by fuzzy adaptive online calculation. Lastly a designed case is presented to verify the improved response performance to user demand.
Thirdly, the quantitative and coltrolling mechanism of risks are built. According to the cycle quality chain operations reference modle, risks may be encountered in its implementation are systematically analyzed by risk evaluation index system comprising human, facility, materiel, laws, information and environment, etc. The decision making objective functions in risks, and quantitative risks, risk strategies decision models based on vague set are proposed. Several integrating functions of uncertain preference information with different integrating performance and application characteristics are analyzed and a risk view based on vague set is illustrated with examples.
Finally, the quantitative and compensating topologies of bullwhip in cycle quality chain are discussed. Through the analysis of logistics and inventory operations in cycle quality chain, a quantitative evaluation method for positive and reverse bullwhip effects is established by inventory comparison. Then a comprehensive compensation package is built to lessen the bullwhip effect through linked causes of the bullwhip effect ranging from information share, volatile leading time, order distribution and game action etc. A supply-driven mechanism is introduced whose gaming problem between suppliers and manufacturers is described and is solved by reasonable positive and reverse discount. A case is demonstrated the quantitative and decreased bullwhip effect.
引文
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