{"title":"Policy Analytics in Public School Operations","authors":"D. Bertsimas, A. Delarue","doi":"10.1287/opre.2022.2373","DOIUrl":null,"url":null,"abstract":"Optimizing School Operations, Holistically School districts in the United States face a variety of operational problems, often treated in isolation due to their inherent complexity: for instance, school assignment and school transportation are rarely considered jointly. We develop an optimization-based approach to three key problems in school operations: school assignment, school bus routing, and school start time selection. Our methodology improves upon the state of the art in two ways: by leveraging a simplifying assumption of fixed route arrival times to tractably optimize school bus schedules and school start times simultaneously, and by proposing a postimprovement heuristic to jointly optimize assignment, bus routing, and scheduling. We evaluate our approach on a practical case study.","PeriodicalId":19546,"journal":{"name":"Oper. Res.","volume":"46 1","pages":"289-313"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oper. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/opre.2022.2373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Optimizing School Operations, Holistically School districts in the United States face a variety of operational problems, often treated in isolation due to their inherent complexity: for instance, school assignment and school transportation are rarely considered jointly. We develop an optimization-based approach to three key problems in school operations: school assignment, school bus routing, and school start time selection. Our methodology improves upon the state of the art in two ways: by leveraging a simplifying assumption of fixed route arrival times to tractably optimize school bus schedules and school start times simultaneously, and by proposing a postimprovement heuristic to jointly optimize assignment, bus routing, and scheduling. We evaluate our approach on a practical case study.