2016 INFORMS Annual Meeting Program

MC86

INFORMS Nashville – 2016

3 - Project Management Inventory And Due Date Study In Push And Pull Contracts Xingxing Chen, Washington University- St. Louis, Campus Box 1156, One Brookings Drive, Saint Louis, MO, 63130, United States, xingxing.chen@wustl.edu, Panos Kouvelis, Yu Xia This research studies the inventory management and project cycle in project management. We investigate a supply chain with one manufacturer and one supplier. The manufacturer replenishes a critical part from the supplier to meet the stochastic demand during the project cycle time. Both the manufacturer and the supplier target at optimizing their profits respectively. The games between the manufacturer and the supplier are studied under different contract formats: push, pull and push-pull contracts. Optimal inventory policy and project cycle time are found indifferent cases. 4 - Product Recalls In The Consumer Products Industry: Evidence Of A Silver Lining Carolyn Queenan, Assistant Professor, University of South Carolina, Darla Moore School of Business, 1014 Greene St, Columbia, SC, 29208, United States, carrie.queenan@moore.sc.edu, Adams Steven, Yan Dong, Manus Rungtusanatham Research shows us that recalls generally harm firm performance and intuition confirms this. We, however, investigate if recalls universally harm firm performance. After analyzing seven years of consumer products recall data and corresponding firm performance, we find certain circumstances mitigate some of the potential negative impacts of recalls on firm performance. Results suggest new ways to consider recalls and ways to mitigate their effects. 5 - Demand And Supply Planning In Configure-to-order Supply Chains Turgut Aykin, Managing Member, Aykin Associates, 136 Buckmanville Rd., New Hope, PA, 18938, United States, taykin@aykinassociates.com Configure-to-order (CTO) products involve variable bills of materials (BOM), which may vary from one order to another in SKU’s and quantities required, and customers who are sensitive to the promised delivery times. In this presentation, we review the approaches available for CTO supply chains and present a new approach to model variable BOM’s, as well as link supply levels to the targeted delivery performance, forecasts, forecast accuracy and lead times. Chair: Jacqueline Griffin, Northeastern University, 360 Huntington Ave., 334 Snell Engineering Center, Boston, MA, 2115, United States, ja.griffin@neu.edu 1 - Optimizing Chemoradiotherapy To Target Multi-Site Metastatic Disease And Tumor Growth Hamidreza Badri, PhD Student, University of Minnesota, IsyE University of Minnesota, 111 Church Street S.E., Minneapolis, MN, 55455, United States, badri019@umn.edu, Kevin Leder, Ehsan Salari We introduce a model to obtain optimal drug and radiation protocols in a chemoradiotherapy scheduling problem with the objective of minimizing metastatic cancer cell populations at multiple sites while maintaining a minimum level of damage to the primary tumor site. We derive closed-form expressions for an optimal chemotherapy fractionation regimen. A dynamic programming framework is used to determine the optimal radiotherapy fractionation regimen. We quantify the trade-off between the new and traditional objectives of minimizing the metastatic population size and maximizing the tumor control probability, respectively, for a cervical cancer case. 2 - Integrated Physician And Clinic Scheduling Problem In an Ambulatory Cancer Treatment Polyclinic Mohammad Tohidi, PhD Candidate, Concordia University, 7400 Sherbrooke West, Apt 218, Montreal, QC, H4B 1R8, Canada, m_tohidi@encs.concordia.ca, Masoumeh Kazemi Zanjani, Ivan Contreras In this presentation, we present an extension of physician scheduling problems which arises in hospitals with polyclinic centers. In these centers, a patient can be assessed by multiple clinics in a single visit. The clinics share available resources, and interdisciplinary clinics have to be scheduled together on simultaneous shifts. This work is inspired by a case study in a hospital in Montreal. We integrate clinic session scheduling with physician scheduling and formulate the problem as a multi-objective mathematical program. For some problem instances that the exact method is not able to find the optimal solution, we present an iterated variable neighborhood search mathheuristic. MC79 Legends G- Omni Health Care, Modeling VII Contributed Session

3 - Does Specialization Of Hospitals Increase Operational Efficiency? Saied Samiedaluie, Postdoctoral Fellow, The University of British Columbia, Vancouver, BC, Canada, saied.samiedaluie@gmail.com, Vedat Verter We study a health care network configuration problem considering two scenarios: specialization versus generalization. We characterize the situations in which each scenario is preferred in terms of accessibility to care. Our results show that the decision of system configuration for a multi-hospital network requires careful consideration of patient mix among arrivals, relative length of stay of patients, and distribution of patient load between hospitals. 5 - Multi Attribute Balanced Scheduling In An Integrated Outpatient Clinic Jacqueline Griffin, Northeastern University, 360 Huntington Ave., 334 Snell Engineering Center, Boston, MA, 02115, United States, ja.griffin@neu.edu, Vahab Vahdatzad, Sarah Burns Using a discrete event simulation modelling approach, we examine new policies for the design and operation of a new integrated orthopedic, rheumatology, and radiology healthcare facility. With interdependent flows and shared resources between these units, the importance of balancing workload across the facility, and strategies for accomplishing this are examined. Specifically, we quantify the impact of various patient and provider scheduling policies, both independently and simultaneously, to identify the cost effectiveness of implementation. MC86 GIbson Board Room-Omni Marketing III Contributed Session Chair: Nithya Shankar, Rensselaer Polytechnic Institute, Troy, NY, nithya.shankar21@gmail.com 1 - Nonlinear Customer Satisfaction Index Model We extend the relationship proposed by the customer satisfaction index (CSI) model to include a nonlinear functional form between satisfaction and loyalty. We examine different functional forms on how satisfaction affects loyalty and propose a model that reflects intrinsic characteristics of nonlinear effects, such as saturation-attainable limit of effectiveness, non-constant marginal return, and asymmetric response between satisfied and dissatisfied customers, in a parsimonious way. The model is estimated via a hierarchical Bayes model to accommodate structural heterogeneity of companies surveyed in the analysis by proposing an efficient multi-move sampler. 2 - When Better Product Quality Imply More Advertising Regis Chenavaz, KEDGE Business School, Marseille Cedex 9, France. r.chenavaz@gmail.com, Sajjad Jasimuddin This article examines when does better quality lead to more advertising. It mod- els the advertising-quality relationship in an optimal control setting. This article proposes a rule for the advertising-quality relationship generating both positive and negative relationships: Advertising increases with quality if the demand effects (quality and advertising effects on demand) outweigh the supply effect (quality effect on cost); alternatively, advertising decreases with quality if the demand effects are lower than the supply effect. Consequently, despite consumer awareness of quality, to maximize profit the firm may advertise a product of lower quality more. 3 - Intimacy And Loyalty In Parasocial Relationships Lenita Davis, Professor, University of Arkansas-Little Rock, 1200 Brookwood Drive, Apt 463, Little Rock, AR, 72202, United States, lmdavis@ualr.edu, Elizabeth Micahel This research seeks to identify how negative information affects the loyalty and commitment of fans engaged in a parasocial relationship that is established or strengthened through social media. This research will use multiple methods including social media ethnography, qualitative comparative analysis of celebrity and fan social media and empirical analysis. This research will be conducted in the context of the presidential election, social media data will be collected on the front runners’ social media in the Presidential campaign during the primaries up to a week post their respective national conventions. 4 - Managerial Overconfidence And Brand Capital Nithya Shankar, Assistant Professor of Marketing, State University of New York at Plattsburgh, Plattsburgh, NY, United States, nithya.shankar21@gmail.com, Staceyann Sharpe, Bill Francis A growing area of research in marketing focuses on the impact of firm-level factors on brand capital. Largely lacking in the marketing literature is the impact of managerial behavioral traits on firms’ brand capital. Our research investigates this relationship by examining the impact of managerial overconfidence on brand capital. Preliminary results indicate a negative relationship between managerial overconfidence and brand capital. Further analysis will evaluate the impact of managerial overconfidence on change in brand capital, as well as the impact of industry factors on this relationship. Nobuhiko Terui, Professor, Tohoku University, Faculty of Economics, Kawauchi Aoba-Ku, Sendai, 980-8576, Japan, terui@econ.tohoku.ac.jp, Xing Aijing, PK Kannan

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