{"title":"Switchboard simulation to improve productivity and customer service.","authors":"E D LaCourse","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>An application of classical industrial engineering/operations research techniques (i.e., multichannel queueing analysis) and detailed workload distribution data. An analytic simulation model developed on a personal computer (PC) is used with interactive analysis to develop switchboard coverage requirements and optimal staffing schedules by time of day and day of week. This represents a tangible example of how classical techniques can be used with newer approaches and a close working relationship between the analyst and line management, to solve a practical problem of optimizing both productivity and customer service quality.</p>","PeriodicalId":77231,"journal":{"name":"Journal of the Society for Health Systems","volume":"5 2","pages":"65-72"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Society for Health Systems","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An application of classical industrial engineering/operations research techniques (i.e., multichannel queueing analysis) and detailed workload distribution data. An analytic simulation model developed on a personal computer (PC) is used with interactive analysis to develop switchboard coverage requirements and optimal staffing schedules by time of day and day of week. This represents a tangible example of how classical techniques can be used with newer approaches and a close working relationship between the analyst and line management, to solve a practical problem of optimizing both productivity and customer service quality.