摘要
分析车间排产方案决策阶段企业各部门利益关系,构建基于层次分析和熵理论(A-E)及欧氏范数的多目标车间排产方案决策模型。具体利用AHP法建立车间排产方案层次化的决策体系,采用层次分析法和熵理论(A-E)方法确定各决策因素的权重。在车间排产决策中,利用欧氏范数来描述备选排产方案与理想方案的距离大小作为精选的依据。并结合实例进行数值演算和验证,计算表明该模型能根据生产实际数据帮助决策者快速的从多个车间排产方案中精选,得到令各部门最满意的唯一方案。
Through analyzing the interest relationship of the each department in the phase of schemes decision making, the method based on A-E method and Euclid norm for multi-objective shop scheduling decision has been put forward. Firstly, a hiberarchy system for shop scheduling making decision was built by AHP method and a new weight-confirming method was obtained by combining both subjective factors and objective factors. Then, the distance between ideal scheme and selective scheme was illuminated by Euclid norm as a standard to select the best scheme. Finally, the application of model for selecting a provider has been demonstrated through an illustrative example. The results indicate that the most satisfied solution can be gained from the set of the scheduling schemes by using A-E method.
出处
《工业工程与管理》
北大核心
2009年第6期33-37,128,共6页
Industrial Engineering and Management
基金
教育部博士点基金(200802171023)
关键词
层次分析法
熵理论
欧氏范数
车间调度问题
多目标优化
analytic hierarchy process(AHP)
entropy theory
Euclid norm
shop scheduling problem
multi-objective optimization