TY - GEN
T1 - Decision Support System for the Hospital's Departments
T2 - 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
AU - Wachtel, Guy
AU - Elalouf, Amir
AU - Perlman, Yael
AU - Yechiali, Uri
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/22
Y1 - 2018/6/22
N2 - The aim of this paper is to present a method and a software program that are designed to help decision makers to plan, reorganize and relocate resources in the hospitals' hospitalization departments. When planning the hospitalization departments layout, the decision maker faces many various problems, that are further emphasized when taking into account budget limitations and space limitations. In this paper we propose a queueing theory-based method for addressing this problem. We deal with a fixed area available for placing resources in the department and consider various scenarios and strategies in order to gain insights that will help the decision makers within this area. A software was written using MATLAB, to generally construct all the balance equations for each scenario, with additional abilities that will allow to decide on the space, available capacity, costs and the specific arrival rates characterizing each department.
AB - The aim of this paper is to present a method and a software program that are designed to help decision makers to plan, reorganize and relocate resources in the hospitals' hospitalization departments. When planning the hospitalization departments layout, the decision maker faces many various problems, that are further emphasized when taking into account budget limitations and space limitations. In this paper we propose a queueing theory-based method for addressing this problem. We deal with a fixed area available for placing resources in the department and consider various scenarios and strategies in order to gain insights that will help the decision makers within this area. A software was written using MATLAB, to generally construct all the balance equations for each scenario, with additional abilities that will allow to decide on the space, available capacity, costs and the specific arrival rates characterizing each department.
UR - http://www.scopus.com/inward/record.url?scp=85050196665&partnerID=8YFLogxK
U2 - 10.1109/CoDIT.2018.8394903
DO - 10.1109/CoDIT.2018.8394903
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AN - SCOPUS:85050196665
T3 - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
SP - 183
EP - 186
BT - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 April 2018 through 13 April 2018
ER -