摘要
在给定碳排放约束条件下,将需求预测的移动平均法、指数平滑法与Wagner-Wthin、Silver-Meal两种动态批量算进行组合分析,并对库存持有成本、单位碳排放费用、固定订货成本和固定订货碳排放量等相关参数进行基于算法的灵敏度分析,发现移动平均法预测和Wagner-Within动态批量算法组合下的总成本最小。
Under the condition of given carbon emission constraint, we combine the moving average method and exponential smoothing method of demand forecasting with two dynamic batch computation methods Wagner-Within and Slyer-Meal to conduct the sensitivity analysis of such parameters as the stockholding cost, unit carbon emission cost, fixed ordering cost and fixed ordering carbon emission. We find that the total cost is the minimal under the combination computation method of the moving average method and Wagner-Within.
出处
《南昌工程学院学报》
CAS
2017年第3期73-77,共5页
Journal of Nanchang Institute of Technology
基金
江西省大学生创新训练计划项目(201411319035)
江西省高等学校省级教学改革项目(JXJG-14-18-7)