{"title":"单机系统分层生产计划研究","authors":"Guisen Xue, Hong Zhou","doi":"10.1109/ICIEEM.2009.5344204","DOIUrl":null,"url":null,"abstract":"A two-tiered hierarchical production planning model with sequence-independent family setup time, including aggregate production planning (APP) and family disaggregation planning (FDP), is proposed in this paper for a multi-product, single machine production system. In APP, the constraints about inventory, backorder and regular time are revised according to practical situation; and in FDP, the resulted APP in the first period is decomposed into detailed lot sizing plan for each product family in each sub-period and is guaranteed for completion. Two types of feedback information are adopted to adjust the aggregate plan at different stages of a period. The performance of the model is validated with data from an enterprise.","PeriodicalId":6326,"journal":{"name":"2009 16th International Conference on Industrial Engineering and Engineering Management","volume":"49 1","pages":"916-919"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on hierarchical production planning for single machine systems\",\"authors\":\"Guisen Xue, Hong Zhou\",\"doi\":\"10.1109/ICIEEM.2009.5344204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A two-tiered hierarchical production planning model with sequence-independent family setup time, including aggregate production planning (APP) and family disaggregation planning (FDP), is proposed in this paper for a multi-product, single machine production system. In APP, the constraints about inventory, backorder and regular time are revised according to practical situation; and in FDP, the resulted APP in the first period is decomposed into detailed lot sizing plan for each product family in each sub-period and is guaranteed for completion. Two types of feedback information are adopted to adjust the aggregate plan at different stages of a period. The performance of the model is validated with data from an enterprise.\",\"PeriodicalId\":6326,\"journal\":{\"name\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"49 1\",\"pages\":\"916-919\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEEM.2009.5344204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEEM.2009.5344204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on hierarchical production planning for single machine systems
A two-tiered hierarchical production planning model with sequence-independent family setup time, including aggregate production planning (APP) and family disaggregation planning (FDP), is proposed in this paper for a multi-product, single machine production system. In APP, the constraints about inventory, backorder and regular time are revised according to practical situation; and in FDP, the resulted APP in the first period is decomposed into detailed lot sizing plan for each product family in each sub-period and is guaranteed for completion. Two types of feedback information are adopted to adjust the aggregate plan at different stages of a period. The performance of the model is validated with data from an enterprise.