{"title":"论存在学习中的人力规划","authors":"Yigal Gerchak, Mahmut Parlar, S.Sankar Sengupta","doi":"10.1016/0167-188X(90)90077-U","DOIUrl":null,"url":null,"abstract":"<div><p>Manpower planning models rarely incorporate effects of learning on production capacity. Here those effects are explored through some models. First, we discuss a discrete-time model in which capacity is maintained at a desired level through appropriate recruitment and layoffs. Then we propose a related continuous-time partial differential equation model, and derive the recruitment rate level which will maintain capacity. Some examples are provided.</p></div>","PeriodicalId":100476,"journal":{"name":"Engineering Costs and Production Economics","volume":"20 3","pages":"Pages 295-303"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0167-188X(90)90077-U","citationCount":"21","resultStr":"{\"title\":\"On manpower planning in the presence of learning\",\"authors\":\"Yigal Gerchak, Mahmut Parlar, S.Sankar Sengupta\",\"doi\":\"10.1016/0167-188X(90)90077-U\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Manpower planning models rarely incorporate effects of learning on production capacity. Here those effects are explored through some models. First, we discuss a discrete-time model in which capacity is maintained at a desired level through appropriate recruitment and layoffs. Then we propose a related continuous-time partial differential equation model, and derive the recruitment rate level which will maintain capacity. Some examples are provided.</p></div>\",\"PeriodicalId\":100476,\"journal\":{\"name\":\"Engineering Costs and Production Economics\",\"volume\":\"20 3\",\"pages\":\"Pages 295-303\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0167-188X(90)90077-U\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Costs and Production Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0167188X9090077U\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Costs and Production Economics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0167188X9090077U","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Manpower planning models rarely incorporate effects of learning on production capacity. Here those effects are explored through some models. First, we discuss a discrete-time model in which capacity is maintained at a desired level through appropriate recruitment and layoffs. Then we propose a related continuous-time partial differential equation model, and derive the recruitment rate level which will maintain capacity. Some examples are provided.
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