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المتفائل2012 · 2010- 11- 11

Decision Support System

السنة الأكاديمية:
2010

Supervisors:
Tamer Haddad

الطلاب:
Haneen Khoury
Mays Qaradeh
Nashwa Sharaf
Shireen Dawod

القسم:
Industrial Engineering

الملفات:

finalhanen.ppt

Simulation is the attempt to duplicate the features, appearance, and characteristics of a real system. It is used to estimate the effects of various variables and changes in the systems. And it provides an alternative approach for problem solving that are very complex mathematically. This project has considered operations, delivery and emergency departments for Rafeedia Hospital in Nablus city as a case study for complex systems to be studied and analyzed using simulation techniques. It aims to Simulate hospitals current working situation which will enable related people to define weakness points that may raise risks and lower quality of services, and to use the analytical models as a decision support system “DSS” to compare alternatives (based on simulating its expected effects) to choose proper feasible solution for further development using ProModel software.
The first department that was studied was the Operations Department; it suffers from very high percentage of utilization in the rooms in its current state. The maximum allowed utilization was 75%, and 25% of the room time must be idle for room preparation before each operation. All the main rooms have exceeded this limit, besides the waiting time in the system has been relatively long. The decision that can be recommended to improve the operations department was to add two more rooms to act as stand by rooms, one of them to hold the load of rooms 1 and 2, and the second room to hold the load of rooms 3 and 4. This scenario can withstand the current arrival rate and an increased arrival up to 13% since it could serve all patients without overloading beds and provide enough time to prepare the rooms between every two successive operations, and this was true for standby room’s comparison. It also keeps the average waiting time in the system at a low value that equals 10 minutes only, which was a great improvement.
The second department was the delivery department which was considered as having a good current situation where the both the normal delivery beds and the caesarean delivery room kept a utilization below the maximum allowable value, while keeping the average waiting time in the system zero, which meant that each pregnant could be immediately served without waiting her turn. Moreover they were underutilized with no congestion in the queue lines of the department. Some scenarios were suggested and simulated in order to solve the under utilization problem, and to study the capability of the model to conduct future variables and changes in capacity, arrival, and pregnant distribution between normal and caesarean delivery.
The last department was the emergency department that showed a good current situation considering the service, but with underutilized beds. Further scenarios were suggested and study to measure its capability through increasing arrivals by 30% showing that the department can withstand with this rate.

2010- 11- 11	#5
المتفائل2012 أكـاديـمـي الملف الشخصي: رقم العضوية : 64812 تاريخ التسجيل: Mon Nov 2010 المشاركات: 56 الـجنــس : ذكــر عدد الـنقـاط : 50 مؤشر المستوى: 60 بيانات الطالب: الكلية: كلية الأداب بالدمام الدراسة: خريج التخصص: حاسب المستوى: خريج	رد: مشاريع تخرج لتخصص الهندسة الصناعية Decision Support System السنة الأكاديمية: 2010 Supervisors: Tamer Haddad الطلاب: Haneen Khoury Mays Qaradeh Nashwa Sharaf Shireen Dawod القسم: Industrial Engineering الملفات: finalhanen.ppt Simulation is the attempt to duplicate the features, appearance, and characteristics of a real system. It is used to estimate the effects of various variables and changes in the systems. And it provides an alternative approach for problem solving that are very complex mathematically. This project has considered operations, delivery and emergency departments for Rafeedia Hospital in Nablus city as a case study for complex systems to be studied and analyzed using simulation techniques. It aims to Simulate hospitals current working situation which will enable related people to define weakness points that may raise risks and lower quality of services, and to use the analytical models as a decision support system “DSS” to compare alternatives (based on simulating its expected effects) to choose proper feasible solution for further development using ProModel software. The first department that was studied was the Operations Department; it suffers from very high percentage of utilization in the rooms in its current state. The maximum allowed utilization was 75%, and 25% of the room time must be idle for room preparation before each operation. All the main rooms have exceeded this limit, besides the waiting time in the system has been relatively long. The decision that can be recommended to improve the operations department was to add two more rooms to act as stand by rooms, one of them to hold the load of rooms 1 and 2, and the second room to hold the load of rooms 3 and 4. This scenario can withstand the current arrival rate and an increased arrival up to 13% since it could serve all patients without overloading beds and provide enough time to prepare the rooms between every two successive operations, and this was true for standby room’s comparison. It also keeps the average waiting time in the system at a low value that equals 10 minutes only, which was a great improvement. The second department was the delivery department which was considered as having a good current situation where the both the normal delivery beds and the caesarean delivery room kept a utilization below the maximum allowable value, while keeping the average waiting time in the system zero, which meant that each pregnant could be immediately served without waiting her turn. Moreover they were underutilized with no congestion in the queue lines of the department. Some scenarios were suggested and simulated in order to solve the under utilization problem, and to study the capability of the model to conduct future variables and changes in capacity, arrival, and pregnant distribution between normal and caesarean delivery. The last department was the emergency department that showed a good current situation considering the service, but with underutilized beds. Further scenarios were suggested and study to measure its capability through increasing arrivals by 30% showing that the department can withstand with this rate.