Research And Development Of Automatic Garment Cutting-plan System

A reasonable cutting-plan is the precondition for successfully cuttingwork, and garment cutting-plan is a scheme which optimizes the collocationof garment size, quantity and color in a planned way, based on garmententerprises’ production conditions and orders, without increasing ordecreasing the quantity of sizes, to minimizing waste and lays. Meanwhile,it has the important theory and practical significance to develop our ownautomation cutting-plan system, with low price and combined with ourgarment industry production feature.Based on analyzes the effect factors of cutting-plan by investigating thepractical production and, this paper establishes a systematic AHP model.Constructing judgment matrixes and calculating the weight of each factor, through specialists’ investigation about the importance of the effect factors.The results show that quantity, repeat, ply count, lay, and spreading lengthare the key factors of cutting scheme, which provides quantitativefoundation and for cutting plan.The concept of the balanced optimal number and ply count in the paperput forward, based on the research production practice and theory. Andthrough experiments and practical production derived equilibrium optimalnumber and number formula, the garment cutting-plan mathematical modelis established, combining the cutting-plan problem. According to analyseson conventional methods of cutting scheme in garment production, thispaper presents an equivalent optimization method, which afford theoreticalbasis for solving model.On the basis of the method and the ameliorated greedy algorithm of thecutting-plan studying and design, this paper uses the C#programming toolsof VisualStudio.Net2005to achieve automatic cutting-plan systemdevelopment, and test the system. The test results show that the automaticcutting-plan system has the advantages of high efficiency, fast and save material superiority, with better practicability and applicability. It can solvethe cutting-plan problem efficient, save the enterprise production costs andenhance the capacity of competition.