• CN:11-2187/TH
  • ISSN:0577-6686

›› 2009, Vol. 45 ›› Issue (9): 114-119.

• 论文 • 上一篇    下一篇

精益生产系统运作优化模型及求解方法

王志国;唐任仲;白翱;余式汪   

  1. 浙江大学机械工程学系
  • 发布日期:2009-09-15

Lean Production System Operation Optimization Model and Method for Algorithmic Problem Solving

WANG Zhiguo;TANG Renzhong;BAI Ao;YU Shiwang   

  1. Department of Mechanical Engineering, Zhejiang University
  • Published:2009-09-15

摘要: 针对传统生产方式的不足和精益生产的要求,在分析精益生产系统运作的基础上,提出将精益生产的运作优化问题抽象为具体的大系统多目标规划问题。以车间制造元素的工作量作为决策变量,以产量、质量、成本、交货期等指标为动态约束条件构建优化运作模型。在模型中引入目标函数优先级及优先权因子,以反映多个相互矛盾目标的重要程度,可以根据实际问题的动态属性确定系统的最佳运作目标需求。为解决精益生产系统运作优化的动态性、多目标、多阶段性,给出一种采用“串式调优法”求解模型的算法。将精益生产系统运作优化模型简化为产能优化、时间优化以及平衡协调等子模型,应用“串式调优法”分别对子模型求解,结合浙江省某电能表装配生产线进行情况,将优化模型和求解算法通过Witness 仿真验证,仿真结果表明了模型的合理性和求解算法的准确性、高效性。

关键词: 串式调优法, 多目标优化, 建模仿真, 精益生产系统, 运作优化模型

Abstract: In view of the disadvantage of traditional production mode and the requirement of lean production, a standpoint is put forward on the basis of analyzing lean production system operation. The point is that lean production operation optimization is defined as large-scale system multiobjective programming problem with angular structure of the original box. An operation optimization model is constructed by taking workload of manufacturing factors in plant as decision-making variables and the indexes of output, quality, cost and delivery as dynamic constraint conditions. In the model, priority and its factor are introduced into objective function for reflecting important degree of multiple mutually conflicting objectives. So the best operation objective requirement is determined on the basis of dynamic attribute of actual problem. The characteristic of the model is dynamic, multi-objective and multistage. The algorithm called “harmonizing cluster results” for the model is presented in order to solve the difficulties of solution for the lean production system operation model. Then the model is simplified into some submodels, such as production ability optimization submodel, time optimization submodel, balancing and harmonizing submodel. The method of “harmonizing cluster results” is used to solve the above submodels. Finally the lean production operation optimization model and its solution algorithm are applied to an assembly line of energy meter in Zhejiang Province. The results of Witness simulation verify that the model is rational and its solution algorithm is accurate and highly efficient.

Key words: Harmonizing cluster results, Lean production system, Modeling simulation, Multi-objective optimization, Operation optimization model

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