INFORMS J. Appl. Anal.最新文献

Introduction: Special Issue on Analytics Remedies to COVID-19 导言:关于COVID-19分析补救措施的特刊

INFORMS J. Appl. Anal. Pub Date : 2022-11-01 DOI: 10.1287/inte.2022.1142

M. Gorman

引用次数: 0

Public Policy and Broader Applications for the Use of Text Analytics During Pandemics 大流行期间使用文本分析的公共政策和更广泛应用

INFORMS J. Appl. Anal. Pub Date : 2022-10-13 DOI: 10.1287/inte.2022.1137

D. Bumblauskas, Amy J. Igou, Salil Kalghatgi, Cole Wetzel

{"title":"Public Policy and Broader Applications for the Use of Text Analytics During Pandemics","authors":"D. Bumblauskas, Amy J. Igou, Salil Kalghatgi, Cole Wetzel","doi":"10.1287/inte.2022.1137","DOIUrl":"https://doi.org/10.1287/inte.2022.1137","url":null,"abstract":"The state of Iowa conducted an initial business survey in March 2020 as the novel coronavirus disease 2019 (COVID-19) broke out across the United States. The survey data have been used for decision and policy making at the state level. Relief incentive packages were provided via the Iowa Economic Development Authority (IEDA) to Iowa-based companies to support their operations. A team of policy makers, faculty, and industry professionals was formed to conduct text analyses, analyze the survey responses, validate insights, and ensure that the appropriate policies were enacted. The analysis yielded a reproducible process using the statistical software R to quickly analyze large volumes of free-text responses to open-ended survey questions and develop topics comparable to those found through human coding. This process, using biterm topic models (BTMs), was first used to verify and validate the results of human coding and, because of its increased speed to insights compared with that of human coding, to validate hypotheses empirically much more quickly in subsequent surveys. Analyzing free-text responses has given the IEDA confidence that open-ended survey questions provide value not previously captured. In addition to the original survey, the three subsequent ones, along with several additional projects, have been shaped by the original text-mining methods.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clemson University's Rotational Attendance Plan During COVID-19 克莱姆森大学在COVID-19期间的轮流出勤计划

INFORMS J. Appl. Anal. Pub Date : 2022-09-26 DOI: 10.1287/inte.2022.1139

Amy B. Gore, M. E. Kurz, M. Saltzman, Blake Splitter, W. Bridges, Neil J. Calkin

{"title":"Clemson University's Rotational Attendance Plan During COVID-19","authors":"Amy B. Gore, M. E. Kurz, M. Saltzman, Blake Splitter, W. Bridges, Neil J. Calkin","doi":"10.1287/inte.2022.1139","DOIUrl":"https://doi.org/10.1287/inte.2022.1139","url":null,"abstract":"The COVID-19 pandemic forced universities to upend their class scheduling. At Clemson University, the administration implemented hybrid schedules for fall 2020, in which students attend classes partly online and partly in person. To limit exposures of COVID-19 in the classroom, we propose two rotational attendance models (the three-cohort model and the once-a-week model) that aim to allow in-person classroom time and minimize exposure between students. In a baseline strategy, students would interact with an average of 84 students per week and attend class in person 2.6 days a week. By contrast, the three-cohort model and once-a-week model achieve about 57 and 83 student interactions per week and 1.6 and 1.9 in-person student attendance days a week, respectively. Although these figures of merit may imply that the three-cohort model is preferable, it achieves its results by forcing about 1,600 of the 21,000 students who want to attend courses in person to participate online instead and forcing courses that meet twice a week to be attended twice in a three-week rotation. Considering the tradeoffs between the figures of merit related to student interaction and anticipated implementation challenges, Clemson University implemented the once-a-week model for fall 2020 and spring 2021.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Collaborating with Local and Federal Law Enforcement for Disrupting Sex Trafficking Networks 与地方和联邦执法部门合作，打击性交易网络

INFORMS J. Appl. Anal. Pub Date : 2022-09-01 DOI: 10.1287/inte.2022.1126

Nickolas K. Freeman, B. Keskin, Gregory J. Bott

引用次数: 1

Introduction: 2021 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research 简介:2021年Daniel H. Wagner高级分析和运筹学实践卓越奖

INFORMS J. Appl. Anal. Pub Date : 2022-09-01 DOI: 10.1287/inte.2022.1125

M. Bjarnadóttir, L. Stone

{"title":"Introduction: 2021 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research","authors":"M. Bjarnadóttir, L. Stone","doi":"10.1287/inte.2022.1125","DOIUrl":"https://doi.org/10.1287/inte.2022.1125","url":null,"abstract":"The judges for the 2021 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research selected the five finalist papers featured in this special issue of the INFORMS Journal on Applied Analytics. The prestigious Wagner Prize—awarded for achievement in implemented operations research, management science, and advanced analytics—emphasizes the quality and originality of mathematical models along with clarity of written and oral exposition. This year’s winning application describes the design and deployment of Eva, the Greek COVID-19 testing system used as Greece was opening up for tourism in 2020. The remaining four papers describe the stochastic modeling and mixed-integer programming system used to optimize the Atlanta police patrol zones for better police balance and reduced response time to emergency calls; Lyft’s new priority dispatch system, which solves the ride-sharing productivity paradox whereby increases in efficiency do not benefit the drivers; the application of advanced analytics to assist local and federal law enforcement organizations in their efforts to disrupt sex-trafficking networks; and the development of a new after-sales service concept, which increases chip availability for ASML’s customers.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133304553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving the Ride-Sharing Productivity Paradox: Priority Dispatch and Optimal Priority Sets 解决拼车效率悖论:优先调度和最优优先集

INFORMS J. Appl. Anal. Pub Date : 2022-09-01 DOI: 10.2139/ssrn.4018653

Varun Krishnan, Ramon Iglesias, Sébastien Martin, Su Wang, Varun Pattabhiraman, G. V. Ryzin

{"title":"Solving the Ride-Sharing Productivity Paradox: Priority Dispatch and Optimal Priority Sets","authors":"Varun Krishnan, Ramon Iglesias, Sébastien Martin, Su Wang, Varun Pattabhiraman, G. V. Ryzin","doi":"10.2139/ssrn.4018653","DOIUrl":"https://doi.org/10.2139/ssrn.4018653","url":null,"abstract":"Ride-sharing platforms face a “productivity paradox,” whereby any efficiency gained through improved dispatch or pricing strategies will not benefit drivers or riders. We show that this is a limit of the traditional ride-hailing model and a consequence of the Hall-Horton driver equilibrium earning hypothesis. In response to this challenge, Lyft introduced Priority Mode (PM), which allows drivers to concentrate their work during specific prioritized hours. We prove that PM solves the productivity paradox. As a result, the average driver earnings increase, and the platform and the riders also benefit. Implementing PM requires significant changes to the platform’s dispatch and pricing policy but most importantly requires careful control of the number of drivers that can be offered the opportunity to be prioritized at any given time. In this paper, we introduce a queuing setting to model the market dynamics of PM and illustrate the challenges of this control problem. We then leverage this intuition to build a real-time priority admission control system that can balance the number of drivers offered priority and achieve the desired productivity increase. Lyft has successfully rolled out PM throughout North America, and drivers have completed hundreds of thousands of driving hours thus far. It has generated tens of millions of dollars of value that the drivers, the riders, and Lyft have shared, with the potential to generate much more when rolled out in all markets. Finally, our internal driver surveys reveal that it has been well received by drivers.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126649785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML 通过ASML新的售后服务供应理念提高芯片可用性

INFORMS J. Appl. Anal. Pub Date : 2022-09-01 DOI: 10.1287/inte.2022.1133

Douniel Lamghari-Idrissi, R.A.M. van Hugten, G. Houtum, R. Basten

引用次数: 3

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System 高风险决策的可解释运筹学:设计希腊COVID-19测试系统

INFORMS J. Appl. Anal. Pub Date : 2022-09-01 DOI: 10.1287/inte.2022.1128

Hamsa Bastani, K. Drakopoulos, Vishal Gupta, J. Vlachogiannis, Christos Hadjichristodoulou, P. Lagiou, G. Magiorkinis, Dimitris Paraskevis, S. Tsiodras

引用次数: 3

The University of Michigan Implements a Hub-and-Spoke Design to Accommodate Social Distancing in the Campus Bus System Under COVID-19 Restrictions 密歇根大学在COVID-19限制下实施了一种轮辐设计，以适应校园巴士系统中的社交距离

INFORMS J. Appl. Anal. Pub Date : 2022-08-04 DOI: 10.1287/inte.2022.1131

Gongyu Chen, Xinyu Fei, Huiwen Jia, Xian Yu, Siqian Shen

{"title":"The University of Michigan Implements a Hub-and-Spoke Design to Accommodate Social Distancing in the Campus Bus System Under COVID-19 Restrictions","authors":"Gongyu Chen, Xinyu Fei, Huiwen Jia, Xian Yu, Siqian Shen","doi":"10.1287/inte.2022.1131","DOIUrl":"https://doi.org/10.1287/inte.2022.1131","url":null,"abstract":"The outbreak of coronavirus disease 2019 (COVID-19) has led to significant challenges for schools and communities during the pandemic, requiring policy makers to ensure both safety and operational feasibility. In this paper, we develop mixed-integer programming models and simulation tools to redesign routes and bus schedules for operating a real university campus bus system during the COVID-19 pandemic. We propose a hub-and-spoke design and utilize real data of student activities to identify hub locations and bus stops to be used in the new routes. To reduce disease transmission via expiratory aerosol, we design new bus routes that are shorter than 15 minutes to travel and operate using at most 50% seat capacity and the same number of buses before the pandemic. We sample a variety of scenarios that cover variations of peak demand, social distancing requirements, and bus breakdowns to demonstrate the system resiliency of the new routes and schedules via simulation. The new bus routes were implemented and used during the academic year 2020–2021 to ensure social distancing and short travel time. Our approach can be generalized to redesign public transit systems with a social distancing requirement to reduce passengers’ infection risk.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Scheduling of Waitstaff with Different Experience Levels at a Restaurant Chain 连锁餐厅不同经验水平服务员的最优调度

INFORMS J. Appl. Anal. Pub Date : 2022-06-23 DOI: 10.1287/inte.2022.1124

N. Akhundov, N. Tahirov, C. Glock

{"title":"Optimal Scheduling of Waitstaff with Different Experience Levels at a Restaurant Chain","authors":"N. Akhundov, N. Tahirov, C. Glock","doi":"10.1287/inte.2022.1124","DOIUrl":"https://doi.org/10.1287/inte.2022.1124","url":null,"abstract":"Restaurants often face strong pressure to reduce costs. Managers regularly respond by hiring temporary or part-time workers and by trying to reduce the size of the workforce as much as possible, which makes it difficult to develop a personnel schedule that provides sufficient service to the customers. The problem gets even more complicated if (frequent) employee turnover and demand fluctuations occur and if employees have different experience levels. This paper presents mathematical models to support waitstaff scheduling at a restaurant chain based in Baku, Azerbaijan, taking into account the managerial requirements of the company. The problem we address is equivalent to a general tour scheduling problem that assigns waitstaff to work shifts throughout the week. We develop three integer programming models taking account of factors, such as employee types and experience levels, differences in the complexity of customer orders, and side tasks and responsibilities, to find the optimal number of employees together with the best tour for each of them. The models are solved to optimality, and the results are applied at a branch of the restaurant chain in Baku. Compared with the existing schedule, the optimized schedule enabled the restaurant to reduce overstaffing levels by approximately 40% and labor costs by 20% while keeping the same service standards.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127129238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0