Improvement of Facility Layout by Using Data Mining Algorithms and an Application

Year 2016, , 92 - 100, 26.12.2016

Melda Kokoç , Süleyman Ersöz , Adnan Aktepe , Ahmet Kürşad Türker

https://doi.org/10.18201/ijisae.267175

Cited By: 3

Abstract

The facility layout problems are
always important in the production or service industry system. For many years,
it has been a common research field in active research. It seen that various
methods were used in literature review for improving facility layout. We used
association analysis which is one of the techniques of data mining in this
study. The primary aim of this study is to improving the emergency department's
efficiency, increasing patient satisfaction and employee satisfaction,
decreasing travelled distance in emergency department. In this study, data
acquired from information system of an emergency service was examined by means
of data mining techniques (association rules such as GRI and Apriori) and relations
between departments were found out. Association rules were analyzed via data
mining techniques applied and then departments having more flow density with
each other were determined. In consideration of this information an alternative
facility layout planning was planned in regard to analysis results of
departments’ closeness situations, advices of emergency service doctor and
observations made.

Keywords

GRI Algorithm, Apriori Algorithm, Facility Layout, Data Mining, Efficiency

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