{"title":"Inventory Management Using a Weekly Review (s, S) Policy at the Bank of Canada","authors":"A. Legrain, J. Patrick","doi":"10.1287/inte.2021.1089","DOIUrl":"https://doi.org/10.1287/inte.2021.1089","url":null,"abstract":"While the inventory management problem faced by central banks is complicated in that they must deal with two-way shipments, complex costing agreements and insurance limits on inventory, we were able to develop an adapted version of an (s,S) policy that reduced the costs of the central bank’s inventory management by 25%. Implementation required very little change to the regular practices of the Bank and resulted in very few unintended consequences.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917493","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":"Practice Summary: A Multiobjective Assignment Model for Optimal Socially Distanced Classrooms for the Spears School of Business at Oklahoma State University","authors":"Carol Johnson, R. Wilson","doi":"10.1287/inte.2021.1103","DOIUrl":"https://doi.org/10.1287/inte.2021.1103","url":null,"abstract":"In response to Oklahoma State University’s goal to provide safe face-to-face course options for as many students as possible in fall 2020, the Spears School of Business leadership developed a strategy based on data analytics and multiobjective optimization that allowed the implementation of a smooth transition plan for classes in fall 2020. OpenSolver was used (within Excel) to create an effective and efficient tool that successfully implemented classroom assignments that maximized face-to-face offerings while minimizing disruptions to the schedule, faculty, and registrar’s office.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124919208","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}
Nicholas C. Forrest, R. R. Hill, Phillip R. Jenkins
{"title":"An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods","authors":"Nicholas C. Forrest, R. R. Hill, Phillip R. Jenkins","doi":"10.1287/inte.2021.1099","DOIUrl":"https://doi.org/10.1287/inte.2021.1099","url":null,"abstract":"The planning of individualized pilot training programs is an intensive process. Over 120 maneuvers are introduced into the training program over time while ensuring maneuver competencies. This work introduces a novel, deep-learning based approach for automatically generating training plans for pilot trainees to significantly reduce instructor pilot planning requirements.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322871","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":"A Decision Support System for Brewery Production Planning at Feldschlösschen","authors":"Markus Mickein, Matthes Koch, K. Haase","doi":"10.1287/inte.2021.1101","DOIUrl":"https://doi.org/10.1287/inte.2021.1101","url":null,"abstract":"This article presents a decision support system (DSS) for multilevel production planning implemented at a Swiss brewery. The DSS supports supply chain executives in tactical and strategic decision making. The system consists of a user interface and visualization tool embedded in a cloud-based optimization framework.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831293","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}
Elizabeth L. Bouzarth, B. Grannan, John M. Harris, K. Hutson
{"title":"Scheduling the Valley Baseball League","authors":"Elizabeth L. Bouzarth, B. Grannan, John M. Harris, K. Hutson","doi":"10.1287/inte.2021.1076","DOIUrl":"https://doi.org/10.1287/inte.2021.1076","url":null,"abstract":"The Valley Baseball League is a collegiate summer baseball league with 11 teams playing 42 games between June and August. Producing a schedule has proved challenging for league management, because of the odd number of teams as well as a large number of league mandates and team-specific requests. As an amateur league with limited financial resources, there is pressure to best leverage the league schedule to maximize revenue for each team. A schedule generated by mathematical programming was enthusiastically adopted for the 2020 season and significantly outperformed previous manually produced schedules.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276128","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":"Operations Research in Underground Mine Planning: A Review","authors":"A. Chowdu, P. Nesbitt, A. Brickey, A. Newman","doi":"10.1287/INTE.2021.1087","DOIUrl":"https://doi.org/10.1287/INTE.2021.1087","url":null,"abstract":"At the time of this writing, the U.S. Geological Survey estimates that the average American-born human will need millions of pounds of fuels, minerals, and other extracted resources in his or her l...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143222","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":"JD.com Improves Delivery Networks by a Multiperiod Facility Location Model","authors":"Ningxuan Kang, Hao Shen, Ye Xu","doi":"10.1287/INTE.2021.1077","DOIUrl":"https://doi.org/10.1287/INTE.2021.1077","url":null,"abstract":"Because delivery systems play an increasingly significant role in modern life, it is of strategical importance to design an efficient and adaptive delivery network. JD.com is the largest business-t...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131278596","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":"Total Unduplicated Reach and Frequency Optimization at Procter & Gamble","authors":"J. Camm, J. Christman, A. Narayanan","doi":"10.1287/inte.2021.1096","DOIUrl":"https://doi.org/10.1287/inte.2021.1096","url":null,"abstract":"The Procter & Gamble Company (P&G) is a consumer goods corporation that employs over 90,000 people and has operations in roughly 80 countries worldwide. Products in P&G’s 10-category portfolio of products are sold in over 180 countries. The Consumer Research Analytics group at P&G empowers internal clients by using analytics to ensure that the products in P&G’s portfolio of products are not just well received by consumers but become the products of choice for the maximum number of consumers, thereby maximizing P&G’s market share. One of the most frequently used analytical approaches for managing a product line is Total Unduplicated Reach and Frequency analysis. We replaced the previous enumerative approach with integer programming coupled with cuts to the unit hypercube to dramatically speed up the analysis. As a result, P&G achieved higher utilization of its system, improvements to existing products, and more thorough analyses for product line planning and other applications.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130332309","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}
Yaping Wang, K. McGuire, Jeremy Terbush, Michael T. Towns, C. Anderson
{"title":"Choice-Based Dynamic Pricing for Vacation Rentals","authors":"Yaping Wang, K. McGuire, Jeremy Terbush, Michael T. Towns, C. Anderson","doi":"10.1287/inte.2021.1075","DOIUrl":"https://doi.org/10.1287/inte.2021.1075","url":null,"abstract":"In this paper, we propose a new dynamic pricing approach for the vacation rental revenue management problem. The proposed approach is based on a conditional logistic regression that predicts the purchasing probability for rental units as a function of various factors, such as lead time, availability, property features, and market selling prices. In order to estimate the price sensitivity throughout the booking horizon, a rolling window technique is provided to smooth the impact over time and build a consistent estimation. We apply a nonlinear optimization algorithm to determine optimal prices to maximize the revenue, considering current demand, availability from both the rental company and its competitors, and the price sensitivity of the rental guest. A booking curve heuristic is used to align the booking pace with business targets and feed the adjustments back into the optimization routine. We illustrate the proposed approach by successfully applying it to the revenue management problem of Wyndham Destinations vacation rentals. Model performance is evaluated by pricing two regions within the Wyndham network for part of the 2018 vacation season, indicating revenue per unit growth of 3.5% and 5.2% (for the two regions) through model use.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708118","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}
Gerald G. Brown, R. A. Koyak, J. Salmerón, Z. Scholz
{"title":"Optimizing Prepositioning of Equipment and Personnel for Los Angeles County Fire Department to Fight Wildland Fires","authors":"Gerald G. Brown, R. A. Koyak, J. Salmerón, Z. Scholz","doi":"10.1287/INTE.2021.1084","DOIUrl":"https://doi.org/10.1287/INTE.2021.1084","url":null,"abstract":"Every day, the Los Angeles County Fire Department uses weather forecasts and automated real-time weather observations, together with field-tested moisture content of soil and vegetation, to decide ...","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122363425","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}