Intelligent Scheduling Of Production Planning And Its Application In ERP For Clothing Industry

The production line in the clothing industry is so complicated that the management of the production is dependent on the experienced managers who schedule all the procedures. Furthermore, in most clothing enterprises the orders are excessive, so the production planning is difficult to achieve. The production planning that is traditionally made by hand has many drawbacks such as inefficiency, inaccuracy and putting off the delivery date. In order to satisfy the demand of modern rapid production and become more competitive, the clothing industry needs an ERP system attached to the intelligent scheduling subsystem of the production planning. After the mathematic description of a certain planning problem of the clothing enterprise is given, we use the genetic algorithm to solve it and we also improve the genetic algorithm. Ultimately, the intelligent scheduling subsystem of the production planning is accomplished.Firstly, the genetic algorithm for the flow shop problem is studied, including the genetic coding, fitness function, the parameters of the algorithm, the operators of selection, crossover and mutation, and the terminate condition. To illustrate it, we work out a concrete example of the flow shop problems, using the genetic algorithm. The simulation testing indicates that it has many advantages such as easy coding, simple operating and good optimal performance.Secondly, the hybrid flow shop problem is studied, and an improved genetic algorithm, multi-pairs of chromosomes genetic algorithm is proposed. The algorithm includes a new coding method and a novel crossover operator. Both the simple genetic algorithm and multi-pairs of chromosomes genetic algorithm separately solve a concrete hybrid flowshop problem. The comparison of the simulation results shows that the multi-pairs of chromosomes genetic algorithm is better than the simple genetic algorithm.Thirdly, according to the attributes of the clothing enterprise, its planning problem is simplified to a problem similar to the flow shop problem, the mathematic model is presented, and the concrete genetic algorithm for solving it is studied. The calculation outcome demonstrates that the model and the method are effective.Next, among the ERP system for clothing industry, the intelligent scheduling subsystem of the production planning is implemented. Its function mainly consists of the automatic production planning, the automatic calculation of the materials and so on. Based on the orders and the productivity, the subsystem arranges all the tasks and plays a great role in the decision of the management.Finally, a summary of the main work of this paper is made and the next study of the model, the algorithm and the interface between the ERP for clothing industry and other subsystems like CAD is expected.