Study Of Harmonious Production Planning For Multiple Open-Shop Product Lines

A harmonious production planning problem for multiple Open-Shop product lines with limited buffers is studied.On the basis of investigation for manufacture-enterprise production-scene and a mass of reference about production planning, an interaction structure for the products of up-down stream is presented.To make the interaction structure as research object, the harmonious production planning problem for multiple Open-Shop product line is studied from this three aspects: the establish of mathematic models for production planning, the optimization algorithms and the simulation of illustrations.On the aspect of production planning models, by analyzing the interaction structure of up-down stream and the workshop production process, two kinds of harmonious planning models with the lowest cost and the maximal benefit for multiple Open-Shop product lines are built up, which trally with the basic requests, such as satisfying the demand, avoiding the overflow of the buffers and harmonizing the synchronization among part of pruducts. Because the dimensions of the models are usually very large, it is necessary to be simplified. A simplification method that the main products are not considered is put forward in this paper. The simplification process is expounded detailedly, and the simplified models are given.On the aspect of the optimization algorithms of production planning, since the objective functions of the models are nonlinear but the constraints are linear, GA(genetic algorithms)is used to optimize the models.The characteristics of GA and some other optimization algorithms are summarized, and the basic process and realizing means of GA in production planning problem are expatiated on.In the end, as the simulation results, the production plans satisfying different objective functions in each period are gotten . On the aspect of the design of simulation examples, two different dimensions examples are given and simulated respectively by the common and simplified models. The results show that the simplification method could reduce the dimensions of the models so as to increase calculation speed.It is proved that the proposed models and algorithm are appropriate and the simplification method is efficient.