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Inventory control models are one of the most mature
fields in the area of supply chain management but it is not
obvious how to extend inventory control models under different
types of problems where each problem has specific features and
includes many different limitations and constraints. In addition,
the dynamism of the real-world interactions occurring in
inventory control systems should be modeled with much details,
realities, and complexities. At this point, Simulation Optimization
(SO) models along with modern computing power provide a
significant opportunity to respond effectively in a dynamic and
stochastic environment. To remain competitive and viable in
today’s business climate, SOcan be explicitly taken into account
as a complementary tool. In this study, SO is used to develop a
multi-objective search for the inventory control system with
supplier selection where objectives of the SO model are
minimizing total supply chain cost and maximizing average
service level. The optimal values of the initial inventory, re orde r
point, and order-up-to level for supply chain members are
determined by proposed SO model. The proposed model has an
ability to analyze dynamics of the supply chain members and to
transform it into a clear structure for supply chain decisions.
This is very important in real-world settings because proposed
models lead to a large number of variants to manage a wide
range of decisions in the supply chain.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Ayşe Tuğba Dosdoğru
Aslı Boru
Mustafa Göçken
In production systems, one of the main part routing problems is the determining the best process sequence and the
best machine-operation pairing. In real world systems, flexibility
is important to provide alternative part routings. The system is
considered flexible when certain operation of a part can be
processed on more than one machine. However, flexibility
increases the complexity of system. This paper deals with
assignment of operations to a machine and determining the best
process plan for each part under flexible environment. We used a
harmony search algorithm to cope with highly complex and
nonlinear problem in which makespan is considered as the
objective function and evaluated by using a simulation model.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Ayşe Tuğba Dosdoğru
Aslı Boru
Mustafa Göçken