{"title":"A Simulation Study for a Safe Reopening and Operation of the Trager Institute Optimal Aging Clinic During the COVID-19 Pandemic","authors":"Shahab Sadri, Arsalan Paleshi, Lihui Bai, Monica Gentili","doi":"10.1287/inte.2022.0032","DOIUrl":"https://doi.org/10.1287/inte.2022.0032","url":null,"abstract":"In this study, we develop a discrete-event simulation model to aid the Trager Institute, an outpatient clinic for optimal aging located in Louisville, Kentucky, in determining their safe reopening strategies during the COVID-19 pandemic and operational strategies beyond the pandemic. The model studies the movement of several groups of people (e.g., healthcare providers, navigators, patients, staff) and the operations of the clinic’s primary and ancillary services. The main objective is to ensure that the clinic operates safely while COVID-19 restrictions are in place and to improve its providers’ utilization rate. The model simulates people’s movement in the clinic, monitors the congestion level in four common areas, and identifies the peak hours during a day. We also study various overbooking and telehealth policies to overcome high cancelation or no-show rates and low utilization for providers. Simulation results using AnyLogic have helped the management decide to reopen the in-person services during the COVID-19 pandemic based on the safe congestion level demonstrated by the simulation. Insights on optimal overbooking and telehealth policies can shed a broader light on other healthcare organizations. History: This paper was refereed.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"28 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89159269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sönke Wieczorrek, Christian Thies, Christian Weckenborg, M. Grunewald, T. S. Spengler
{"title":"Volkswagen Group Logistics Applies Operations Research to Optimize Supplier Development","authors":"Sönke Wieczorrek, Christian Thies, Christian Weckenborg, M. Grunewald, T. S. Spengler","doi":"10.1287/inte.2022.0026","DOIUrl":"https://doi.org/10.1287/inte.2022.0026","url":null,"abstract":"Volkswagen Group Logistics (VWGL) is responsible for the logistics and supply processes of the automotive brands of the Volkswagen Group. In this context, supplier development is vital for efficient and reliable material flows between the process partners. In recent years, VWGL implemented a collaborative approach for supplier development in logistics wherein it is crucial to identify disrupting suppliers and apply improvement measures to increase their logistics performance. Against this background, VWGL initiated a project to examine how supplier development measures can be implemented efficiently to improve the overall logistics performance of VWGL’s supply base. This paper presents the developed operations research approach, which integrates Monte Carlo simulation and a knapsack model on the specific problem of supplier development. The approach consists of three stages: (1) data preparation, (2) measure evaluation, and (3) measure allocation. The approach is validated based on 18 existing less-than-truckload networks of VWGL. We find that, on average, considerable cost savings of 31% can be achieved throughout the networks compared with VWGL’s previous procedure. A new workflow facilitates our approach to lift its potential in practical application sustainably. History: This paper was refereed.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88778897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing the Reach of Socially Missioned Nonprofits: Insights from a TOC-LP Application","authors":"Erin C. McKie, S. Ahire","doi":"10.1287/inte.2021.0095","DOIUrl":"https://doi.org/10.1287/inte.2021.0095","url":null,"abstract":"Socially missioned nonprofit organizations exist to connect at-risk populations to critical healthcare, food, and financial services. However, these organizations face several internal (resource infrastructure, management capability) and external (multiple stakeholders, client demographics and capabilities) constraints within which they must work to attain their goal of helping people in need. The extant academic literature offers a variety of solutions to such allocation problems for use in for-profit organizations. Yet noted differences in the operational systems of for-profit and nonprofit operations limit practitioners’ capabilities to readily leverage these tools. Thus, in this paper, we extend the applicability of classic resource allocation principles to the context of nonprofit operations’ outreach efforts. We describe a detailed case study analysis at one nonprofit organization (SC Thrive) wherein we implemented the theory of constraints–linear programming framework to help maximize the effectiveness of outreach initiatives carried out by the organization. Based on the results from our stepwise, nonlinear yield model, SC Thrive is now capable of doubling the annual number of applications submitted by potential beneficiaries for assistance services. History: This paper was refereed.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"14 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83801088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federico Bertero, M. Cerdeiro, Guillermo A. Durán, Nazareno A. Faillace Mullen
{"title":"Developing Optimization Tools for Municipal Solid Waste Collection in the Argentine City of Berazategui","authors":"Federico Bertero, M. Cerdeiro, Guillermo A. Durán, Nazareno A. Faillace Mullen","doi":"10.1287/inte.2022.0042","DOIUrl":"https://doi.org/10.1287/inte.2022.0042","url":null,"abstract":"We apply mathematical and computational techniques to the development of an approach for optimizing the waste collection system of the Argentine city of Berazategui, 26 km south of Buenos Aires. Taking full account of the city’s particular characteristics, our objective is to not only improve the system’s efficiency but also ensure equitable workloads for waste collection truck crews, including both drivers and collectors. The optimization problem is partitioned into three stages. In the first stage, a heuristic constructs structurally simple collection zones that are balanced in terms of collectors’ walking distances. In the second stage, a mixed-integer linear programming model designs a collection truck route for each zone and minimizes its length. In the third and final stage, each truck is assigned to two zones in such a way as to equalize to the extent possible the length of drivers’ working day. Because working-day length is influenced by multiple factors, we formulate this objective as a biobjective optimization problem and solve it by integer linear programming coupled with an iterative algorithm. The city implemented the approach in early 2020, resulting in a markedly more equitable workload distribution and significant fuel savings and maintenance expense for the city. History: This paper was refereed. Funding: This work was partly financed by the Universidad de Buenos Aires Ciencia y Técnica [Grant 20020170100495BA] (Argentina) and Proyectos de Investigación Plurianuales - Consejo Nacional de Investigaciones Científicas y Técnicas [Grant 11220200100084CO (Argentina)]. G. A. Durán is also funded by the Instituto Sistemas Complejos de Ingeniería in Chile [Grants Iniciativa Científica Milenio - Fondo de Innovación para la Competitividad P05-004-F and Comisión Nacional de Investigación Científica y Tecnológica FB0816].","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"53 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79899059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Consiglio, Akis Kikas, Odysseas P. Michaelides, S. Zenios
{"title":"Auditing Public Debt Using Risk Management","authors":"A. Consiglio, Akis Kikas, Odysseas P. Michaelides, S. Zenios","doi":"10.1287/inte.2023.1165","DOIUrl":"https://doi.org/10.1287/inte.2023.1165","url":null,"abstract":"The Audit Office of the Republic of Cyprus conducted the first-ever audit of the country’s public debt, seeking answers to two key questions. Is government debt sustainable, and is debt financing efficient and effective in securing the lowest cost with acceptable risks? The audit’s findings were discussed by the parliament and can have significant ramifications for public finance. However, public debt management is quite complex, and the International Organization of Supreme Audit Institutions suggests that sufficient technical knowledge is essential in undertaking an audit, including an understanding of the uncertain macroeconomy, financing conditions, and government fiscal stance. We use a risk management model based on scenario trees in conducting the audit. The model determines optimal debt financing strategies to benchmark the performance of the country’s Public Debt Management Office and answer the audit questions. We also incorporate an integrated assessment model to examine the risks from climate change. The auditor general presented the findings to the Parliamentary Audit Committee in the presence of the Minister of Finance, and his recommendations are expected to have a significant impact on the debt operations of the country. History: This paper was refereed. Funding: This work was supported by the Auditor General Office of the Republic of Cyprus. A. Consiglio was partially funded by NRRP-GRINS [Grant PE00000018].","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79168327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dwight Lewis, Nickolas Freeman, Irem Sengul Orgut, Thera Tyner, Ryan Tramp, Niranjan Biligowda, Matthew Hudnall, Xin Thomas Yang, Thomas English, Marilyn Whitman, Steven Samsel, James Cochran, Barry Cambron, Danny Rush, Kumari Seetala, Jason Parton
{"title":"Analytic Framework to Improve Access for a State Medicaid Agency","authors":"Dwight Lewis, Nickolas Freeman, Irem Sengul Orgut, Thera Tyner, Ryan Tramp, Niranjan Biligowda, Matthew Hudnall, Xin Thomas Yang, Thomas English, Marilyn Whitman, Steven Samsel, James Cochran, Barry Cambron, Danny Rush, Kumari Seetala, Jason Parton","doi":"10.1287/inte.2023.1161","DOIUrl":"https://doi.org/10.1287/inte.2023.1161","url":null,"abstract":"Analytics can help identify strategies to improve the equity and capacity of health services for populations. However, many government agencies experience challenges with heavy workloads, limited time for continued analytic education, and employee turnover among contracted staff. Therefore, streamlining analytical workflows has the potential to (1) improve labor cost-efficiencies and (2) identify strategies to improve health among enrollees. We describe an analytic framework design that automates several empirical methods and provides recommendations for increasing healthcare access for Alabama Medicaid Agency (AMA) enrollees. The described framework, which includes descriptive and prescriptive elements, has been successfully used to inform various day-to-day analyses conducted by AMA’s Analytics Department and comprehensively analyze AMA-enrolled youths’ accessibility to licensed dentists. Specifically, in the dental context, the framework assisted in identifying (1) dental procedures that were ideal candidates for increased reimbursement payments and (2) geographical locations that AMA should target for interventions to improve physical access to care for AMA’s youth enrollees. The insights offered by the framework for dental care impact more than 0.5 million underserved youth and roughly $90 million of annual revenue for licensed dentists through reimbursements. Funding: D. Lewis, J. Parton, M. Hudnall, R. Tramp, X. T. Yang, and S. Samsel received salary support from the Alabama Medicaid Agency during the execution of this study. B. Cambron, T. Tyner, N. Biligowda, and D. Rush were employed at the Alabama Medicaid Agency during the execution of this study. The other authors do not declare the receipt of funding associated with entities affiliated with this study.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135526088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu
{"title":"Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels","authors":"Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu","doi":"10.1287/inte.2023.1166","DOIUrl":"https://doi.org/10.1287/inte.2023.1166","url":null,"abstract":"Cainiao collaborates with thousands of logistics partners to provide the most cost- and time-efficient delivery services. In this work, we develop a decision support system to select good fulfillment routes consisting of partners for newly created parcels. The system’s core optimization component contains a proportion algorithm based on solving an offline integer programming problem and an online algorithm based on dual values of the associated linear programming relaxation. The company has implemented the system to transport numerous parcels from China to other countries and regions, thus saving millions of dollars annually. History: This paper was refereed.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"16 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87563453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Small- or Medium-Sized Enterprise Uses Operations Research to Select and Develop its Headquarters Location","authors":"D. Kik, M. Wichmann, T. S. Spengler","doi":"10.1287/inte.2023.1159","DOIUrl":"https://doi.org/10.1287/inte.2023.1159","url":null,"abstract":"Location decisions are strategic and usually multicriteria. In decision making, companies need to anticipate future developments at potential locations. Company-driven and municipal development measures change location conditions over time. For location-seeking companies, the realization of municipal measures is fraught with uncertainty. They are planned by several municipal actors, and their long-term implications are hard to predict. Thus, the early-systematic consideration of company-internal and -external development measures is vital for decision makers (DMs) in a future-oriented location assessment. In our paper, we develop a robust decision support framework for companies to solve the regional facility location and development planning problem (RFLDP). Our framework includes a quantitative planning approach based on established operations research (OR) optimization models and a practical guideline for a structured acquisition of relevant data. The chief executive officer (CEO) (or DM) of a small- or medium-sized enterprise (SME) asked us to solve his acute RFLDP. For this, we proposed a systematic workflow and accompanied the SME’s regional facility location and development planning. In doing so, we structured the CEO’s decision-making process effectively and created an objective-transparent basis for his strategic decisions. The core feature of our work is the inclusion of the human factor of DMs, as we interacted with the CEO along his decision-making process to gradually develop decision recommendations. As a result, the SME benefited from a better-informed and transparent planning process. We recommended a decision option that was structurally superior to other options, which emerged from the CEO’s intuition and conventional facility location problem solution approaches. Other stakeholders also benefited from the results of our work. History: This paper was refereed. Funding: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [Grant 439640382].","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"4 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73084908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaitre, William L. Hamilton
{"title":"Bombardier Aftermarket Demand Forecast with Machine Learning","authors":"Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaitre, William L. Hamilton","doi":"10.1287/inte.2023.1164","DOIUrl":"https://doi.org/10.1287/inte.2023.1164","url":null,"abstract":"Intermittent demand patterns are commonly present in business aircraft spare parts supply chains. Because of the infrequent arrivals and large variations in demand, aircraft aftermarket demand is difficult to forecast, which often leads to shortages or overstocking of spare parts. In this paper, we present the development and implementation of an advanced analytics framework at Bombardier Aerospace, which is carried out by the Bombardier inventory planning team and IVADO Labs to improve the aftermarket demand forecasting process. This integrated predictive analytics pipeline leverages machine-learning (ML) models and traditional time series models in a single framework in a systematic fashion. We also make use of a tree-based machine-learning method with a large set of input features to estimate two components of intermittent demand, namely demand sizes and interdemand intervals. Through the ML models, we incorporate different features, including those derived from flight data. Outputs of different forecasting models are combined using an ensemble technique that enhances the robustness and accuracy of the forecasts for different groups of aftermarket spare parts categorized by demand patterns. The validation results show an improvement in forecast accuracy of approximately 7% and in unbiased forecast of 5%. The ML-based Bombardier Aftermarket forecasting system has been successfully deployed and used to forecast the aftermarket demand at Bombardier of more than 1 billion Canadian dollars on a regular basis. History: This paper was refereed.","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135165895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying Decision Analysis to Diverse Domains: An Introduction to the Special Issue","authors":"S. Bansal, J. Keisler, J. Siebert, K. Jenni","doi":"10.1287/inte.2023.1163","DOIUrl":"https://doi.org/10.1287/inte.2023.1163","url":null,"abstract":"","PeriodicalId":53206,"journal":{"name":"Informs Journal on Applied Analytics","volume":"47 33","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72445878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}