Nonwoven textile
materials are used as intermediate raw materials in various sectors such as
cleaning, healthcare and automotive. These products are produced according to
the demand because they are requested in different compositions, colors and
weights. It is necessary to use the capacity efficiently in the nonwoven
textile technology which has high investment costs and high production capacity
in order to attain company objectives. In
this study, a decision support system for nonwoven textile firms was developed so
that they obtain more order revenue fromcustomer orders. In this software
application developed, orders are sorted in 7 different ways based on Moora and
linear function. The total order revenues to be obtained from each ranking and
the delivery dates of sorted jobsare calculated and presented to the user for
decision support purposes. In addition, this software can also record the
operator's planned maintenance data. In the present study, the decision support
system was run with 27 different production scenarios. In the running scenarios,
Moora and linear function methods have introduced more total order revenues
than FCFS and EDD methods. The present decision support system as a product
that can be used by decision makers gives a different point of view to delivery
date and order ranking literature which is generally composed of theoretical
studies.
Primary Language | English |
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Subjects | Wearable Materials |
Journal Section | Articles |
Authors | |
Publication Date | June 30, 2019 |
Submission Date | May 29, 2018 |
Acceptance Date | May 27, 2019 |
Published in Issue | Year 2019 Volume: 29 Issue: 2 |