摘要
针对生产过程不完美并且考虑将次品返运回生产方的二级闭合供应链系统,基于所有参数和决策变量均为梯形模糊数的情景,研究如何利用碳限额与交易机制实现对供应链总成本与碳排放的有效管理.建立供应链模糊总成本与碳排放优化模型,利用梯级平均综合表示法和Kuhn-Tucker条件法求解得到经济订货量、最优总成本和最小碳排放.结果表明:模糊参数相对于确定参数的不同方向与幅度的变化会导致差异较大的决策结果;次品率对总成本的影响与生产率和碳限额的影响方向相反,碳价对总成本的影响受给定碳限额的制约;次品率降低、生产率和碳价提高会降低碳排放,碳限额对碳排放无直接影响.
A secondary closed loop supply chain system with manufacturing defects was studied and the defective items set as were returned to the manufacturer. Based on trapezoidal fuzzy numbers. How to use the the fuzzy theory, all the parameters and decision variables were carbon cap-and-trade mechanism to manage the total cost and carbon emissions in the supply chain was explored and a fuzzy total cost optimization model and carbon emissions model were built. By using graded mean the integration representation method and Kuhn-Tucker method, two fuzzy models were solved, and the economic order quantity, optimal total cost and the minimum carbon emissions were given. The conclusions are that the different development direction and range of fuzzy parameters comparable to the determined parameters may give rise to a quite distinctive decision; that the influence direction of the defective rate on the total cost is opposite to the production rate and carbon emission quotas, while how the carbon price affects the total cost is constrained by the given emission quotas; and that a reduction of the defective rate and increase of the production rate and carbon price may lower carbon emissions, while the given carbon emission quotas has no direct influence upon carbon emissions.
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第2期271-284,共14页
Journal of Lanzhou University(Natural Sciences)
基金
高等学校博士学科点专项科研基金项目(20100032110034)
关键词
限额与交易机制
碳排放
次品率
模糊数
经济订货量
cap-and-trade mechanism
carbon emission
defective rate
fuzzy number
economic order quantity
