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Indexed at: search.filters.indexed.ScopusSubject: search.filters.subject.Industrial management

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    Managing home health-care services with dynamic arrivals during a public health emergency
    (IEEE-Inst Electrical Electronics Engineers Inc, 2024) Araz, Özgür M.; Department of Industrial Engineering; Çınar, Ahmet; Salman, Fatma Sibel; Parçaoğlu, Mert; Department of Industrial Engineering;  ; Graduate School of Sciences and Engineering; College of Engineering;  
    We consider a public health emergency, during which a high number of patients and their varying health conditions necessitate prioritizing patients receiving home health care. Moreover, the dynamic emergence of patients needing urgent care during the day should be handled by rescheduling these patients. In this article, we present a reoptimization framework for this dynamic problem to periodically determine which patients will be visited in which order on each day to maximize the total priority of visited patients and to minimize the overtime for the health-care provider. This optimization framework also aims to minimize total routing time. A mixed-integer programming (MIP) model is formulated and solved at predetermined reoptimization times, to assure that urgent patients are visited within the current day, while visits of others may be postponed, if overtime is not desired or limited. The effectiveness of a schedule is evaluated with respect to several performance metrics, such as the number of patients whose visits are postponed to the next day, waiting time of urgent patients, and required overtime. The MIP-based approach is compared to two practical heuristics that achieve satisfactory performance under a nervous service system by excelling in different criteria. The MIP-based reoptimization approach is demonstrated for a case during the COVID-19 pandemic. We contribute to the home health-care literature by managing dynamic/urgent patient arrivals under a multiperiod setting with prioritized patients, where we optimize different rescheduling objectives via three alternative reoptimization approaches. © 1988-2012 IEEE.
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    Store brands: from back to the future
    (Emerald, 2007) Raju, Jagmohan S.; Department of Business Administration; Sayman, Serdar; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 112222
    Store brands or private labels are owned and controlled by retailers. In this chapter, we place the research on store brands into perspective and highlight some issues that need further investigation. Researchers' interest regarding store brands can be clustered around five major issues. (1) The role of store brands; why do retailers introduce store brands? The explanations include gaining higher margins from store brands, reaching the price-sensitive segment, increasing store loyalty, and attaining better terms of trade from national brand manufacturers. (2) Store brand buyers: characteristics and profitability to the retailer. (3) The relationship among store brand and national brand prices and demands; strategic interaction among the manufacturer and the retailer, the nature of competition between store brands and national brands. (4) The retailer's decision regarding store brand characteristics, quality, and positioning; how do consumers perceive store brands? (5) Drivers of store brand success, in terms of product category, retailer, and industry variables.