In an era when world’s resources are depleting at a fast pace, efficient and effective use of resources is critical for the sustainability of business operations. How to use the limited resources in the most efficient and effective way to serve the mission of an organization is the fundamental problem of Operations Management. The word operations refer to all production and logistics activities carried out to deliver a service or to manufacture a product.
Therefore, Operations Management embraces both service and manufacturing companies in the search for Operational Excellence. This requires engaging available resources of a company in an optimal manner to deliver services or manufacture products in the right amount, at the right time, and at a quality defined by the customer.
To achieve this, Operations Management addresses strategic issues such as product and process design and improvement, facility location, manufacturing or service capacity determination, supplier selection, supply chain design and coordination, quality systems design; tactical issues such as inventory management, supply and demand matching, quality planning; and operational issues such as manufacturing and service activities scheduling, production monitoring and control, quality control.
Operations Management discipline draws upon two main research methodologies: Mathematical modeling and empirical research. These methodologies have their roots in operations research, economics, and social sciences. In addition to its interactions with Finance and Marketing, Operations concentration is a multidisciplinary joint program with Industrial Engineering in terms of the offered courses and faculty involvement. Both disciplines draw upon operations research in various ways and overlap substantially in their theoretical and methodological foundations. After being exposed to these orientations, you will soon choose your own path and develop your curriculum together with your faculty advisor.
Dr. Meltem Denizel's and Dr. Mehmet Ali Soytaş' project titled Sustainability in Business: Constructing a Merged Dataset and Economic Theory Based Approach for Modelling was approved by TÜBİTAK in January 2014.
Dr. Ulaş Özen received the 7th Framework Programme (FP7) Marie Curie Career Integration Grant (CIG) for his Cooperation in Service Systems and Service Supply Chains (COOPSS) research project.
Dr. Tuğba Çayırlı received TÜBİTAK Career Award Appointment System Model Including Seasonal Demands and Walk-In Patients in Outpatient Institutions, 69,840 TL, April 2010 - October 2011.
Dr. Meltem Denizel’s paper titled Multi-Period Remanufacturing Planning with Uncertain Quality of Inputs and co-authored with Mark Ferguson and Gilvan Souza won the 2008 Wickham Skinner best unpublished paper award.
Dr. Meltem Denizel has been awarded a Fulbright Scholarship with her research proposal titled Product Recovery Systems for Sustainable Development in 2007.
Dr. Melda Örmeci’s Ph.D. thesis titled Inventory control in a Build-to-Order Environment was awarded second place in the George B. Dantzig Dissertation Award in 2006.
Research problems the Operations faculty are working on include:
What are the potential benefits of collaborative logistics to overall society as an effective means for achieving sustainable transportation?
How do consumer returns influence the assortment decisions of a retailer?
What kinds of inventory models are needed for rationally managing the variability in build-to-order environments?
How can appointments be scheduled in healthcare facilities so that patient wait times, physician idle time and physician overtime are minimized?
How do you manage variability in your supply chain?
What is the level of dependency between vehicles routing and material handling at ports / terminals / customers?
How does competition among firms affect the firms’ decision to participate in the open source movement and open the source codes of its existing proprietary products?
How can a site identify the best set of items to recommend to a visitor in order to maximize its payoffs in the long run?
What are the structural characteristics of optimal replenishment plans in hybrid manufacturing and remanufacturing systems?