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Ayrıntılı Bilimsel Program ve Bildiri Özetleri - YAEM2010

Ayrıntılı Bilimsel Program ve Bildiri Özetleri - YAEM2010

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YAEM 2010<br />

YÖNEYLEM ARAÞTIRMASI VE ENDÜSTRÝ MÜHENDÝSLÝGI 30. ULUSAL KONGRESÝ<br />

Gray markets - also called “open markets” or “parallel” channels - are<br />

markets for genuine brand products that are sold through<br />

unauthorized retailers. They are an important phenomenon in many<br />

markets ranging from consumer goods to industrial equipment. While<br />

a gray market provides an opportunity to sell excess in<strong>ve</strong>ntory, it also<br />

is a threat to authorized retailers' demand. We consider a supply<br />

chain with one manufacturer and se<strong>ve</strong>ral authorized retailers that face<br />

uncertain demand and the potential of a gray market. We characterize<br />

the equilibrium market-clearing gray market price and the profits in<br />

the channel. We also characterize the manufacturer's wholesale<br />

pricing problem when it is strategic and anticipates the gray market<br />

emergence. We next examine coordination issues. Comparing a<br />

decentralized and centralized system, we show that a wholesale<br />

pricing contract is “almost” coordinating in a gray market<br />

environment. We analyze se<strong>ve</strong>ral contracts that are designed nai<strong>ve</strong>ly<br />

disregarding the potential for a gray market to emerge and ask: How<br />

does the gray market equilibrium change under these contracts? And<br />

from the manufacturer's standpoint, how does the performance of the<br />

contracts compare? Our results shed light on the relati<strong>ve</strong> robustness<br />

of coordinating contracts under gray markets.<br />

Behavioral Factors Affecting News<strong>ve</strong>ndor Decisions and<br />

Coordination<br />

Nukte Sahin, Murat Kaya<br />

Department of Industrial Engineering, Sabanci Uni<strong>ve</strong>rsity, Istanbul,<br />

The news<strong>ve</strong>ndor formula determines the optimal<br />

production/procurement quantity for short-life-cycle products that<br />

face stochastic demand. Howe<strong>ve</strong>r, human decision-makers are known<br />

not to choose the quantity that the news<strong>ve</strong>ndor model predicts in<br />

relevant decision environments. Our goal is to determine the role of<br />

certain behavioral factors including risk a<strong>ve</strong>rsion and loss a<strong>ve</strong>rsion in<br />

real-life news<strong>ve</strong>ndor decisions. To this end, we conduct decision-<br />

making experiments with human beings. We study both stand-alone<br />

news<strong>ve</strong>ndor decisions and the decisions of supply chain members that<br />

strategically interact through supply chain contracts.<br />

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