Ayrıntılı Bilimsel Program ve Bildiri Özetleri - YAEM2010

C2-09
YAEM 2010
YÖNEYLEM ARAÞTIRMASI VE ENDÜSTRÝ MÜHENDÝSLÝGI 30. ULUSAL KONGRESÝ
Olasýlýklý Süreçler 2: Stochastic Processes (I)
2 Temmuz 2010 / 10:00 - 11:30
Oturum Salonu: MDBF L067
Oturum Düzenleyicisi: Süleyman Özekici
Oturum Baþkaný: Süleyman Özekici
Some Robust Dynamic Programs in Inventory Management
and Their Structural Properties
Fikri Karaesmen, Lerzan Örmeci, Zeynep Turgay
Koç University, Istanbul
Inventory problems with random demand can usually be modeled as
stochastic dynamic programs. In order to solve these problems, it is
assumed that the probability distribution of random demand is known
with certainty. However, in most applications this probability
distribution has to be estimated from possibly limited data sets and it
is only known approximately. The robust optimization approach
assumes that the probability distribution lies in an uncertainty set and
attempts to protect the system against this uncertainty. We
investigate the
structural properties of optimal policies for some inventory models
using robust dynamic programming.
Risk Management in Inventory Models
Süleyman Özekici, Fikri Karaesmen, Kaan Okyay
Koç University, Department of Industrial Engineering, Ýstanbul
The most important source of randomness in inventory models is
demand uncertainty. This naturally constitutes a risk for the manager.
If the demand is unexpectedly low, then there will be leftover
inventory, while customer demand will not be satisfied due to
shortage in the opposite case. These undoubtedly will affect the cash
flow together with costs and profits. Majority of the literature on
inventory models supposes that the decision maker is insensitive to
risk or he is risk-neutral. But, decision makers are not necessarily
risk-neutral and this fact always
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