Akademik Veri Yönetim Sistemi
International Journal of Management and Applied Science (IJMAS), cilt.2, sa.2, ss.20-23, 2016 (Hakemli Dergi)
The
consumption of products derived from coffee bean has been increasing rapidly.
With this situation of the coffee industry, market size and brand varieties
have been increasing too. Companies diversify the characteristics of the
industrial coffee machines wide range to cater for demands of people in one
machine. However, in most of countries, the coffee machine companies do not
have sales network and cannot provide technical support. All of these factors
may raise the prices of the industrial coffee machines up to 15000 $ and the
price factor is not enough for the decision of the right coffee machine
selection by itself like all other electronic devices. At the same time,
intensive usage may cause extra costs for the companies with the shortening of
machine life unless necessary and sufficient technical support is provided.
Supplying sensitive and perishable parts of the machines on time is an
important factor that affects the cost and the benefit of the company making
purchase. Some of other basic technical characteristics which determine the
price of the coffee machine are number of the groups, water capacity, water
pressure, cream quality, produced material, energy usage etc. All of these
factors make harder decision making of the coffee machine selection. To this
end, we will propose a Fuzzy Analytic Network Process (F–AHP) approach to
select the most appropriate industrial coffee machine. Both initial costs and
later costs are reduced as much as possible with selecting the best and the
most appropriate equipment(s).