Çakanyildirim, Metín

Permanent URI for this collectionhttps://hdl.handle.net/10735.1/3217

Metin Çakanyildirim is a professor of Operations Management. His research interests include:

  • Capacity and inventory management
  • Transshipments
  • Partially observed inventories
  • Cargo overbooking
  • Information security
  • Forecasting.

For more information about Dr. Çakanyildirim see his Home, Faculty amd Research Explorer pages.

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Recent Submissions

Now showing 1 - 2 of 2
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    Analysis of Product Rollover Strategies in the Presence of Strategic Customers
    (INFORMS) Liang, Chao; Çakanyildirim, Metin; Sethi, Suresh P.
    Frequent product introductions emphasize the importance of product rollover strategies. With single rollover, when a new product is introduced, the old product is phased out from the market. With dual rollover, the old product remains in the market along with the new product. Anticipating the introduction of the new product and the potential markdown of the old product, strategic customers may delay their purchases. We study the interaction between product rollover strategies and strategic customer purchasing behavior and find that single rollover is more valuable when the new product's innovation is low and the number of strategic customers is high. Interestingly and counter to intuition, the firm may have to charge a lower price for the old product as well as receive a lower profit with a higher value disposal (outside) option for the old product under single rollover. Facing a market composed of both strategic and myopic customers, the firm does not necessarily reduce the stocking level as more myopic customers become strategic.
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    In-Season Transshipments Among Competitive Retailers
    Çömez, N.; Stecke, Kathryn E.; Çakanyildirim, Metín; 0000 0000 6749 9396 (Stecke, KE); 85334293‏ (Stecke)
    A decentralized system of competing retailers that order and sell the same product in a sales season is studied. When a customer demand occurs at a stocked-out retailer, that retailer requests a unit to be transshipped from another retailer who charges a transshipment price. If this request is rejected, the unsatisfied customer may go to another retailer with a customer overflow probability. Each retailer decides on the initial order quantity from a manufacturer and on the acceptance/rejection of each transshipment request. For two retailers, we show that retailers' optimal transshipment policies are dynamic and characterized by chronologically nonincreasing inventory holdback levels. We analytically study the sensitivity of holdback levels to explain interesting findings, such as smaller retailers and geographically distant retailers benefit more from transshipments. Numerical experiments show that retailers substantially benefit from using optimal transshipment policies compared to no sharing. The expected sales increase in all but a handful of over 3, 000 problem instances. Building on the two-retailer optimal policies, we suggest an effective heuristic transshipment policy for a multiretailer system. © 2012 INFORMS.

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