{"title":"备件多级库存控制模型设计及求解算法","authors":"Yu Cao, Tiening Wang, Shengliang Xu, Yu Zhu","doi":"10.1109/ISCC-C.2013.63","DOIUrl":null,"url":null,"abstract":"The inventory control model based on the multi-objective programming of the spare parts is set up. The algorithm of particle swarm optimization (PSO) is designed and improved to solve the inventory control multi-objective programming model. Aiming at the question of the particle that deviates from the solution space and the prematurity problem in the searching course, the regain mechanism and interference mechanism are built up to improve the classical PSO, and the switching mechanism from the Cartesian space to the discrete space of inventory control model is established, and then the optimized solution algorithm based on the improved PSO is presented. At last, the simulation experiments of inventory control are made to validate the multi-objective programming model. It lays the foundation for design and realization of simulation and optimization of inventory control of the spare parts.","PeriodicalId":313511,"journal":{"name":"2013 International Conference on Information Science and Cloud Computing Companion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of the Multi-level Inventory Control Model and Solution Algorithm for the Spare Parts\",\"authors\":\"Yu Cao, Tiening Wang, Shengliang Xu, Yu Zhu\",\"doi\":\"10.1109/ISCC-C.2013.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The inventory control model based on the multi-objective programming of the spare parts is set up. The algorithm of particle swarm optimization (PSO) is designed and improved to solve the inventory control multi-objective programming model. Aiming at the question of the particle that deviates from the solution space and the prematurity problem in the searching course, the regain mechanism and interference mechanism are built up to improve the classical PSO, and the switching mechanism from the Cartesian space to the discrete space of inventory control model is established, and then the optimized solution algorithm based on the improved PSO is presented. At last, the simulation experiments of inventory control are made to validate the multi-objective programming model. It lays the foundation for design and realization of simulation and optimization of inventory control of the spare parts.\",\"PeriodicalId\":313511,\"journal\":{\"name\":\"2013 International Conference on Information Science and Cloud Computing Companion\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Information Science and Cloud Computing Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCC-C.2013.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Science and Cloud Computing Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC-C.2013.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of the Multi-level Inventory Control Model and Solution Algorithm for the Spare Parts
The inventory control model based on the multi-objective programming of the spare parts is set up. The algorithm of particle swarm optimization (PSO) is designed and improved to solve the inventory control multi-objective programming model. Aiming at the question of the particle that deviates from the solution space and the prematurity problem in the searching course, the regain mechanism and interference mechanism are built up to improve the classical PSO, and the switching mechanism from the Cartesian space to the discrete space of inventory control model is established, and then the optimized solution algorithm based on the improved PSO is presented. At last, the simulation experiments of inventory control are made to validate the multi-objective programming model. It lays the foundation for design and realization of simulation and optimization of inventory control of the spare parts.