Informs Annual Meeting 2017

WB40

INFORMS Houston – 2017

3 - Surge Capacity: From Individual Hospitals to Communities Yu Wang, Indiana University Bloomington, 1309 E Tenth Street, Bloomington, IN, 47405, United States, yw39@indiana.edu, Kurt M.Bretthauer, Alex Mills We study how hospitals and communities create surge capacity to respond to sudden increases in demand, such as mass-casualty incidents. We discuss our earlier work, where we modeled the effectiveness of response and mitigation strategies for individual hospitals. Now, we consider how decisions of individual hospitals contribute to community capacity when their joint effort is required to address an incident. 4 - Routing Heterogeneous Jobs to Heterogeneous Servers: A Global Optimization-based Approach Vahid Nourbakhsh, University of California-Irvine, The Paul Merage School of Business, Irvine, CA, 92617, United States, vahidn@uci.edu, John G.Turner We study the problem of routing heterogeneous jobs to heterogeneous servers, where the service rate is job-server dependent. We employ a math programming approach which is desirable since it can easily be embedded within larger planning problems. For nonconcave objective function of maximizing the service level, i.e., the probability that a job is served within an acceptable waiting time, we develop an optimization algorithm called fixed-ratio shifting envelopes to find near-optimal solutions to our math program, and design online routing policies, which make use of these solutions. To showcase our model, we apply our model and method to the problem of assigning Irvine districts to fire stations. 352D Operations Management Contributed Session Chair: Benjamin Lawrence, Cornell University, Ithaca, NY, United States, benlawrence@cornell.edu 1 - Metrics to Characterize Temporal Patterns in Lifespans of Artifacts Soumyo D. Moitra, Senior Member of Technical Staff, Software Engineering Institute, 5000 Forbes Avenue, Pittsburgh, PA, 15213, United States, smoitra@sei.cmu.edu This paper discusses some metrics that are useful to model the lifespans of artifacts observed over time that do not follow a traditional lifecycle. Some examples these stochastic point processes are presented and some metrics are developed that help to characterize their patterns and allow the lifespans to be clustered. Results from simulated data are presented and the paper discusses how the metrics can be applied and interpreted. 2 - The Application of Machine Learning in Management Science – Compared with China and the International Xuan Wei, PHD Student, Harbin Engineering University, Harbin, 150001, China, weixuangood@qq.com, Wei Chen Based on bibliometrics theory and the data from the database of Web of Science, the Chinese Social Sciences Citation Index and the Chinese Science Citation Database, this paper draws maps include the map of co-occurring keywords, co- cited authors and co-cited references from 1998 to 2015 by the use of a visual analysis tool——Cite Space. From this, research hot points, knowledge foundation and evolution of the theory of machine learning in management science in both China and other countries or areas are analyzed and contrasted.Acknowledgment: This paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation. 3 - Relatedness in Diversification and Performance of Public Firms Muhammad Zubair, Beaconhouse National University, Lahore, Pakistan, zubair.m@outlook.com This study empirically examines the link between relatedness in the diversification of a firm and its inventory performance. The study is based on firms’ annual financial and segment sales data in addition to US industry input- output data. 4 - Multiple Methods Analyses of the Relationship Between the Quality Management Practices and Operation Performance Heng Xie, University of North Texas, 1307 West Highland Street, Denton, TX, 76201, United States, Heng.Xie@unt.edu, Xianghui (Richard) Peng, Victor R. Prybutok This study employs latent semantic analysis and meta-analysis to investigate the impact of the quality management (QM) on an organization’s operation performance. The correlation and gaps between QM practices and industry performance are examined. Multiple methods of data analyses are used to analyzed the results from empirical based Baldridge Award studies. WB39

5 - Super Size Me? the Effect of Franchise Size and Geographic Location on Compliance with Corporate Brand-building Initiatives Benjamin Lawrence, Cornell University, 565B Statler Hall, Ithaca, NY, 14853, United States, benlawrence@cornell.edu, Brett Massimino We examine the effects of a retail outlet’s governance structure and distance from headquarters on compliance with corporate-driven initiatives. We obtain proprietary data from a large, national restaurant chain - capturing performance for ~1,000 outlets over a 3-year period - and supplement these with data with several other secondary sources. We address potential endogeneity by incorporating several instrumental variables into our analyses. Surprisingly, we find compliance tends to increase with an outlet’s distance from headquarters. We further find an interaction with franchise size, indicating contextual dependencies novel to extant literature on distributed operations. 352E Electric Vehicle Charging Problems and Freight Transportation Sponsored: TSL, Urban Transportation Sponsored Session Chair: Trilce Encarnacion, Rensselaer Polytechnic Institute, 110 8th Street, Jonsson Engineering Center # 4049, Troy, NY, 12180, United States, encart@rpi.edu 1 - Integrated Modelling of Dynamic and Static Charging Facilities for Electric Vehicles Xiaotong Sun, University of Michigan, Ann Arbor, MI, 48109, United States, xtsun@umich.edu This paper investigates the optimal deployment of both charging stations and charging lanes considering the interaction between transportation and power networks. A network equilibrium model is firstly developed to capture the interdependency among route choice, recharging plan of electric vehicles and price of electricity. A mixed-integer bi-level program is then formulated to deploy charging facilities to minimize the social cost in the coupled networks. Several state-of-art solution algorithms are applied to solve this model, and their performances are compared in different numerical experiments. 2 - Robust Planning of Dynamic Wireless Charging Infrastructure for Battery Electric Buses Ziqi Song, Utah State University, 4110 Old Main Hill, Logan, UT, 84322-4110, United States, ziqi.song@usu.edu, Zhaocai Liu, Ye Song Battery electric buses with zero tailpipe emissions have great potential in improving environmental sustainability and livability of urban areas. However, the problems of high cost and limited range associated with on-board batteries have substantially limited the popularity of battery electric buses. The technology of dynamic wireless power transfer (DWPT), which provides bus operators with the ability to charge buses while in motion, can effectively alleviate the drawbacks of electric buses. In this paper, we address the problem of simultaneously selecting the optimal location of the DWPT facilities and designing the optimal battery sizes of electric buses for a DWPT electric bus system. 3 - Impact of Congestion Pricing Schemes on Routing Costs and Emissions Shu Zhang, Chongqing University, Chongqing, China, zhangshu@cqu.edu.cn, Ann Melissa Campbell, Jan Fabian Ehmke Many city governments have introduced toll charges to discourage vehicles from entering the inner city to reduce congestion. However, little research has been done to examine the impact of congestion charges on commercial fleets, especially on resulting costs and emissions. In this study, we consider a vehicle routing problem considering different pricing schemes for several city types. We find that higher congestion charges may not necessarily lead to less emissions, and some congestion pricing schemes may even increase the emissions in the city center. 4 - Impacts of Congestion on Supply Chains Trilce Encarnacion, Rensselaer Polytechnic Institute, 110 8th Street, Jonsson Engineering Center # 4049, Troy, NY, 12180, United States, encart@rpi.edu, Jose Holguin-Veras, Congestion in urban areas heavily impact supply chains, we present a methodology to assess the economic impacts of congestion on logistic costs and estimate the direct environmental impacts of urban freight activity. In designing the methodology, the following objectives guided the process: (1) Applicability; (2) Comparability; (3) Practicality; and (4) Robustness. In order to test the principles developed, pre-pilot studies were conducted in three Latin American Cities: Barranquilla, Colombia; Santiago, Chile and Sao Paulo, Brazil. Results from these pilot tests will also be discussed WB40

487