A. M. Blanco, M. S. Moreno, Carolina Taraborelli, F. D'Angelo, Facundo Iturmendi, J. Bandoni
{"title":"Model-Based Decision Support Tools at Jugos S.A. Concentrated Fruit Juice Plant","authors":"A. M. Blanco, M. S. Moreno, Carolina Taraborelli, F. D'Angelo, Facundo Iturmendi, J. Bandoni","doi":"10.1287/inte.2020.1045","DOIUrl":"https://doi.org/10.1287/inte.2020.1045","url":null,"abstract":"We describe the development of a decision-support tool to assist in the operations of a large concentrated apple and pear juice plant. The tool’s objective is to generate detailed schedules of clar...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"6 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120899064","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}
K. Seal, Linda A. Leon, Z. H. Przasnyski, Greg Lontok
{"title":"Delivering Business Analytics Competencies and Skills: A Supply Side Assessment","authors":"K. Seal, Linda A. Leon, Z. H. Przasnyski, Greg Lontok","doi":"10.1287/inte.2020.1043","DOIUrl":"https://doi.org/10.1287/inte.2020.1043","url":null,"abstract":"This paper investigates the alignment of the demand side of business analytics (based on advertised job positions) with the supply side (based on the university curricula of U.S. business analytics...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114324838","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}
{"title":"London Heathrow Airport Uses Real-Time Analytics for Improving Operations","authors":"Xiaojia Guo, Y. Grushka-Cockayne, B. D. Reyck","doi":"10.2139/ssrn.3619914","DOIUrl":"https://doi.org/10.2139/ssrn.3619914","url":null,"abstract":"Improving airport collaborative decision making is at the heart of airport operations centers (APOCs) recently established in several major European airports. In this paper, we describe a project commissioned by Eurocontrol, the organization in charge of the safety and seamless flow of European air traffic. The project’s goal was to examine the opportunities offered by the colocation and real-time data sharing in the APOC at London’s Heathrow airport, arguably the most advanced of its type in Europe. We developed and implemented a pilot study of a real-time data-sharing and collaborative decision-making process, selected to improve the efficiency of Heathrow’s operations. In this paper, we describe the process of how we chose the subject of the pilot, namely the improvement of transfer-passenger flows through the airport, and how we helped Heathrow move from its existing legacy system for managing passenger flows to an advanced machine learning–based approach using real-time inputs. The system, which is now in operation at Heathrow, can predict which passengers are likely to miss their connecting flights, reducing the likelihood that departures will incur delays while waiting for delayed passengers. This can be done by off-loading passengers in advance, by expediting passengers through the airport, or by modifying the departure times of aircraft in advance. By aggregating estimated passenger arrival time at various points throughout the airport, the system also improves passenger experiences at the immigration and security desks by enabling modifications to staffing levels in advance of expected surges in arrivals. The nine-stage framework we present here can support the development and implementation of other real-time, data-driven systems. To the best of our knowledge, the proposed system is the first to use machine learning to model passenger flows in an airport.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121050356","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}
Hossein Abdollahnejadbarough, Kalyan S . Mupparaju, Sagar Shah, Colin P . Golding, Abelardo C . Leites, Timothy D . Popp, E. Shroyer, Yanai S. Golany, Anne G. Robinson, Vedat Akgün
{"title":"Verizon Uses Advanced Analytics to Rationalize Its Tail Spend Suppliers","authors":"Hossein Abdollahnejadbarough, Kalyan S . Mupparaju, Sagar Shah, Colin P . Golding, Abelardo C . Leites, Timothy D . Popp, E. Shroyer, Yanai S. Golany, Anne G. Robinson, Vedat Akgün","doi":"10.1287/inte.2020.1038","DOIUrl":"https://doi.org/10.1287/inte.2020.1038","url":null,"abstract":"The Verizon Global Supply Chain organization currently manages thousands of active supplier contracts. These contracts account for several billion dollars of annualized Verizon spend. Managing thou...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123340980","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}
{"title":"Improving Intermodal Train Operations in Indian Railways","authors":"Amita Upadhyay","doi":"10.1287/inte.2020.1035","DOIUrl":"https://doi.org/10.1287/inte.2020.1035","url":null,"abstract":"In Indian Railways, container train operators (CTOs) run intermodal trains. The success of a CTO depends on it providing timely delivery of containers at low haulage cost. The CTO must utilize its ...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130657857","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}
{"title":"Using Risk-Based Security to Quantify the Number of Firearms Missed at Airport Security Checkpoints","authors":"S. Jacobson","doi":"10.1287/inte.2020.1037","DOIUrl":"https://doi.org/10.1287/inte.2020.1037","url":null,"abstract":"The Transportation Security Administration (TSA) is responsible for protecting the nation's air transportation system. Risk-based security is a paradigm for aligning security resources (i.e., perso...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133111196","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}
{"title":"Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities","authors":"D. Scheinker, M. Brandeau","doi":"10.1287/inte.2020.1036","DOIUrl":"https://doi.org/10.1287/inte.2020.1036","url":null,"abstract":"Healthcare lags decades behind other industries in terms of operational analytics. Numerous technical proof-of-concept projects in the use of optimization, machine learning, and other analytical me...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872543","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}
{"title":"Saving Time and Money and Reducing Carbon Dioxide Emissions by Efficiently Allocating Customers","authors":"Christian Haket, B. Rhee, J. Swart","doi":"10.1287/inte.2020.1028","DOIUrl":"https://doi.org/10.1287/inte.2020.1028","url":null,"abstract":"In many industries, multifacility service providers can save time and money and reduce carbon dioxide (CO2) emissions by more efficiently allocating customers to their facilities. However, firms in...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114956888","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}
{"title":"Next Lives Here: Forging Academia-Industry Partnerships in Analytics at the University of Cincinnati","authors":"M. Fry, J. Camm, G. Wegryn","doi":"10.1287/inte.2020.1032","DOIUrl":"https://doi.org/10.1287/inte.2020.1032","url":null,"abstract":"In 2018, the Department of Operations, Business Analytics, and Information Systems (OBAIS) in the Carl H. Lindner College of Business at the University of Cincinnati (UC) celebrated its 50th anniversary, and in 2019 the OBAIS department won the INFORMS UPS George D. Smith Prize. The OBAIS department has a long history of excellence in fostering academia-industry collaboration in the area of analytics as well as a track record of continued innovation. In this article, we summarize some of the history of the OBAIS department and describe many of the department’s innovations that enabled the department to win the 2019 Smith Prize. We provide an overview of the department’s curriculum of analytics-focused degree programs, and we explain how the UC Center for Business Analytics serves as the culmination of the department’s efforts to provide a supportive ecosystem in analytics for students, faculty, business leaders, and practitioners. We conclude with some lessons learned along our journey.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122714362","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}
B. P. Bruck, Filippo Castegini, J. Cordeau, M. Iori, Tommaso Poncemi, Dario Vezzali
{"title":"A Decision Support System for Attended Home Services","authors":"B. P. Bruck, Filippo Castegini, J. Cordeau, M. Iori, Tommaso Poncemi, Dario Vezzali","doi":"10.1287/inte.2020.1031","DOIUrl":"https://doi.org/10.1287/inte.2020.1031","url":null,"abstract":"The authors describe a decision support system developed to solve a practical attended home services problem faced by Iren Group, an Italian multiutility company operating in the distribution of el...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121852817","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}