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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3
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Publication Metadata only Service science editorial board, 2023(Informs Inst.for Operations Res.and the Management Sciences, 2023) Benjaafar, Saif; Jiang, Baojun; Xu, Alison; Allon, Gad; Tang, Christopher S.; Chernobai, Anna; Pinedo, Michael; Schaefer, Andrew; Agarwal, Ashish; Agrawal, Vishal; Anderson, Chris; Barrett, Michael; Basole, Rahul; Belavina, Elena; Blomberg, Jeanette; Boyacı, Tamer; Buell, Ryan; Burtch, Gordon; Chan, Timothy; Chen, Cynthia; Chen, Li; Choi, Sunmee; Chun, HaeEun Helen; Curti, Filippo; Debo, Laurens; Dixon, Michael; Elmachtoub, Adam; Fang, Eric; Farahani, Reza Zanjirani; Geroliminis, Nikolas; Guajardo, Jose; Gui, Luyi; Gurnani, Haresh; Hua, Zhongsheng; Brandeau, Margaret; Chase, Richard; Dietrich, Brenda; Frei, Frances; Gann, David; Gallego, Guillermo; Hu, Ming; Verma, Rohit; Sheng, Olivia; de Vericourt, Francis; Roels, Guillaume; Roth, Aleda; Cui, Tony Haitao; Huang, Yanliu; Iyer, Krishnamurthy; Jouini, Oualid; Kannan, P.K.; Kavadias, Stelios; Kim, Sang; de Koster, Rene; Lee, Donald; Li, Zhepeng; Lin, Grace; Liu, Yunchuan; Lo, Chris; Mak, Ho-Yin; Minner, Stefan; Misic, Velibor; Narayanan, Sriram; Nie, Marco; Nohadani, Omid; Osadchiy, Nikolay; Pant, Gautam; Righter, Rhonda; Saghafian, Soroush; Shi, Pengyi; Harker, Patrick; Hsu, Cheng; Karmarkar, Uday; Larson, Richard; Baron, Opher; Ziya, Serhan; Song, Jeannette; Girotra, Karan; Yin, Yafeng; Benjaafar, Saif; Shin, Hyoduk; Shugan, Steve; Subramanian, Upender; Sun, Peng; Sun, Wei; Taneri, Niyazi; Thompson, Gary; Trichakis, Nikolaos; Van Oyen, Mark; Venkataraman, Sriram; Victorino, Liana; Wang, Hai; Wang, Zizhuo; Wu, Xiaole; Xu, Lizhen; Xu, Yuqian; Yam, Kai Chi; Yang, Xiaojing; Yano, Candace; Yu, Yimin; Zhang, Yinghao; Zheng, Karen; Zhou, Sean; Qiu, Robin G.; Roth, Aleda; Tien, James; Wladawsky-Berger, Irving; Department of Business Administration; Karaesmen, Zeynep Akşin; Department of Business Administration; College of Administrative Sciences and EconomicsPublication Metadata only Supported nondominated points as a representation of the nondominated set: an empirical analysis(Wiley, 2024) Department of Business Administration; Sayın, Serpil; Department of Business Administration; College of Administrative Sciences and EconomicsThe nondominated set of a multiple objective discrete optimization problem is known to contain unsupported nondominated points, which outnumber the supported ones and are more difficult to obtain. We treat supported nondominated points as a representation and analyse their quality using different metrics beyond their sheer numbers. Under different data generation schemes on multiobjective knapsack and assignment problems, we observe that supported nondominated points almost always provide a good representation of the entire nondominated set.Publication Metadata only Transition to family practice in Turkey(Wiley, 2008) Yaman, Hakan; Department of Business Administration; Güneş, Evrim Didem; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 51391Introduction: Turkey's primary health care (PHC) system was established in the beginning of the 1960s and provides preventive and curative basic medical services to the population. This article describes the experience of the Turkish health system, as it tries to adapt to the European health system. It describes the current organization of primary health care and the family medicine model that is in the process of implementation and discusses implications of the transition for family physicians and the challenges faced in meeting the needs for health care staff. In Turkey a trend toward urbanization is evident and more staff positions in rural PHC centers are vacant. Shortages of physicians and an ineffective distribution of doctors are seen as a major problem. Family medicine gained popularity at the beginning of the 1990s, as a specialty with a 3-year postgraduate training program. Medical practitioners who are graduates of a 6-year medical training program and are already working in the PHC system are offered retraining courses. Better working conditions and higher salaries may be important incentives for medical practitioners to sign a contract with the social security institution of Turkey. Discussion: The lack of well-trained primary care staff is an ongoing challenge. Attempts to retrain medical practitioners to act as family physicians show promising results. Shortness of physician and health professionals and lack of time and resources in primary health care are problems to overcome during this process.Publication Metadata only Constructive cynicism( American Marketing Association (AMA), 2006) Keiningham, T.L.; Vavra, T.G.; Department of Business Administration; Aksoy, Lerzan; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; N/AN/APublication Metadata only The impact of retrials on call center performance(Springer, 2004) Aguir, Salah; Chauvet, Fabrice; Department of Industrial Engineering; Department of Business Administration; Karaesmen, Fikri; Karaesmen, Zeynep Akşin; Faculty Member; Faculty Member; Department of Industrial Engineering; Department of Business Administration; College of Engineering; College of Administrative Sciences and Economics; 3579; 4534This paper models a call center as a Markovian queue with multiple servers, where customer balking, impatience, and retrials are modeled explicitly. The resulting queue is analyzed both in a stationary and non-stationary setting. For the stationary setting a fluid approximation is proposed, which overcomes the computational burden of the continuous time markov chain analysis, and which is shown to provide an accurate representation of the system for large call centers with high system load. An insensitivity property of the retrial rate to key system parameters is established. The fluid approximation is shown to work equally well for the non-stationary setting with time varying arrival rates. Using the fluid approximation, the paper explores the retrial phenomenon for a real call center. The model is used to estimate the real arrival rates based on demand data where retrials cannot be distinguished from first time calls. This is a common problem encountered in call centers. Through numerical examples, it is shown that disregarding the retrial phenomenon in call centers can lead to huge distortions in subsequent forecasting and staffing analysis.Publication Metadata only Targeting resources efficiently and justifiably by combining causal machine learning and theory(Frontiers Media Sa, 2022) Department of Business Administration; Ali, Özden Gür; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 57780Introduction: Efficient allocation of limited resources relies on accurate estimates of potential incremental benefits for each candidate. these heterogeneous treatment effects (HTE) can be estimated with properly specified theory-driven models and observational data that contain all confounders. Using causal machine learning to estimate HTE from big data offers higher benefits with limited resources by identifying additional heterogeneity dimensions and fitting arbitrary functional forms and interactions, but decisions based on black-box models are not justifiable. MethodsOur solution is designed to increase resource allocation efficiency, enhance the understanding of the treatment effects, and increase the acceptance of the resulting decisions with a rationale that is in line with existing theory. the case study identifies the right individuals to incentivize for increasing their physical activity to maximize the population's health benefits due to reduced diabetes and heart disease prevalence. We leverage large-scale data from multi-wave nationally representative health surveys and theory from the published global meta-analysis results. We train causal machine learning ensembles, extract the heterogeneity dimensions of the treatment effect, sign, and monotonicity of its moderators with explainable aI, and incorporate them into the theory-driven model with our generalized linear model with the qualitative constraint (GLM_QC) method. Resultsthe results show that the proposed methodology improves the expected health benefits for diabetes by 11% and for heart disease by 9% compared to the traditional approach of using the model specification from the literature and estimating the model with large-scale data. Qualitative constraints not only prevent counter-intuitive effects but also improve achieved benefits by regularizing the model.Publication Metadata only Bank lending standards and access to lines of credit(Wiley, 2012) James, Christopher; Kizilaslan, Atay; Department of Business Administration; Demiroğlu, Cem; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 18073This paper examines how changes in bank lending standards are related to the availability of bank lines of credit for private and comparable public firms. Overall, we find that access to lines of credit is more contingent on bank lending standards for private than for public firms. The impact of bank lending standards is however asymmetric: while private firms are less likely than public firms to gain access to new lines when credit market conditions are tight, we find no difference between public and private firms in terms of their use or retention of pre-existing lines. We also find that private firms without lines of credit use more trade credit when bank lending standards are tight, which is suggestive of a supply effect. Overall, the evidence suggests that credit crunches are likely to have a disproportionate impact on private firms. However, pre-existing banking relationships appear to mitigate the impact of these contractions on private firms.Publication Metadata only Mathematical programming representations of the dynamics of continuous-flow production systems(Taylor & Francis Inc, 2015) Department of Business Administration; Tan, Barış; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 28600This study presents a mathematical programming representation of discrete-event systems with a continuous time and mixed continuous-discrete state space. In particular, continuous material flow production systems are considered. A mathematical programming representation is used to generate simulated sample realizations of the system and also to optimize control parameters. The mathematical programming approach has been used in the literature for performance evaluation and optimization of discrete material flow production systems. In order to show the applicability of the same approach to continuous material flow systems, this article focuses on optimal production flow rate control problems for a continuous material flow system with an unreliable station and deterministic demand. These problems exhibit most of the dynamics observed in various continuous flow productions systems: flow dynamics, machine failures and repairs, changing flow rates due to system status, and control. Moreover, these problems include decision variables related to the control policies and different objective functions. By analyzing the backlog, lost sales, and production and subcontracting rate control problems, it is shown that a mixed-integer linear programming formulation with a linear objective function and linear constraints can be developed to determine the simulated performance of the system. The optimal value of the control policy that optimizes an objective function that includes the estimated expected inventory carrying and backlog cost and also the revenue through sales can also be determined by solving a quadratic integer program with a quadratic objective function and linear constraints. As a result, it is shown that the mathematical programming representation is also a viable method for performance evaluation and optimization of continuous material production systems.Publication Metadata only Multi-period travelling politician problem: a hybrid metaheuristic solution method(Taylor & Francis Ltd, 2022) Shahmanzari, Masoud; Salhi, Said; Department of Business Administration; Aksen, Deniz; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 40308This paper studies the multi-period travelling politician problem whose objective is to maximise the net benefit accrued by a party leader during a fixed campaign period. The problem is also characterised by flexible depots since the daily tours realised by the party leader may not start and end at the same city. A hybrid multi-start Iterated Local Search method complemented with a Variable Neighbourhood Descent is developed to solve the problem heuristically. Two constructive procedures are devised to generate initial feasible solutions. The proposed method is tested on 45 problem instances involving 81 cities and 12 towns in Turkey. Computational results show that the hybrid metaheuristic approach outperforms a recently proposed two-phase matheuristic by producing 7 optimal solutions and 17 new best solutions. In addition, interesting practical insights are provided using scenario analysis that could assist campaign planners in their strategic decisions.Publication Metadata only The brand-customer connection( American Marketing Association (AMA), 2005) Keiningham, T.L.; Perkins-Munn, T.; Vavra, T.G.; Department of Business Administration; Aksoy, Lerzan; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; N/AN/A
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