Mohammad Rahiminia, Sareh Shahrabifarahani, Zahra Mojaradi, A. Aghsami, F. Jolai
{"title":"A queueing-inventory model to control the congestion of patients and medical waste in the medical centers, a case study","authors":"Mohammad Rahiminia, Sareh Shahrabifarahani, Zahra Mojaradi, A. Aghsami, F. Jolai","doi":"10.1080/23270012.2023.2211073","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46290,"journal":{"name":"Journal of Management Analytics","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Analytics","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/23270012.2023.2211073","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
期刊介绍：
The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
