{"title":"面对销售和运营计划方面的巨大挑战","authors":"Claudia Raluca Tudorie, T. Borangiu","doi":"10.1109/IDAACS.2011.6072760","DOIUrl":null,"url":null,"abstract":"This paper addresses the issue of successful Sales and Operations Planning (S&OP) in Supply Chain Management. S&OP is a monthly process which consists in several steps, and involves a lot of roles inside a company. The paper offers a survey of ideas and best practices for a successful sales and production plan. Last section presents a case study of a laboratory-based manufacturing cell. The S&OP process in this system is supported by software architecture which incorporates subsystems for demand-planning and supply-planning. An S&OP workbench is also supported. Using this system, various system components need to be synchronized for best performance.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards great challenge in sales and operation planning\",\"authors\":\"Claudia Raluca Tudorie, T. Borangiu\",\"doi\":\"10.1109/IDAACS.2011.6072760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the issue of successful Sales and Operations Planning (S&OP) in Supply Chain Management. S&OP is a monthly process which consists in several steps, and involves a lot of roles inside a company. The paper offers a survey of ideas and best practices for a successful sales and production plan. Last section presents a case study of a laboratory-based manufacturing cell. The S&OP process in this system is supported by software architecture which incorporates subsystems for demand-planning and supply-planning. An S&OP workbench is also supported. Using this system, various system components need to be synchronized for best performance.\",\"PeriodicalId\":106306,\"journal\":{\"name\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2011.6072760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards great challenge in sales and operation planning
This paper addresses the issue of successful Sales and Operations Planning (S&OP) in Supply Chain Management. S&OP is a monthly process which consists in several steps, and involves a lot of roles inside a company. The paper offers a survey of ideas and best practices for a successful sales and production plan. Last section presents a case study of a laboratory-based manufacturing cell. The S&OP process in this system is supported by software architecture which incorporates subsystems for demand-planning and supply-planning. An S&OP workbench is also supported. Using this system, various system components need to be synchronized for best performance.