OPTIMIZATION OF SURGICAL SUITE LAYOUT USING MIXED INTEGER PROGRAMMING

Abstract

This chapter represented the computational results for three illustrative instances and two real life case studies of surgical suite with different number of rooms.

The results were evaluated in terms of the value of GAP, computation time and the quality of the generated layout. Applying the change in the initial values of optimization process, weights of the objective functions and constant parameters was used to study the effect of these parameters on the generated results. The following results were obtained: 1. It was noticed that the resulted layout of the first instance with nine rooms can satisfy the international design guidelines if the location of scrub room and clean store was exchanged with each other and with the induction room so the induction room can be shared with both operating rooms and connect the scrub room with the protected corridor. 2. For the first instance with nine rooms, the results obtained at GAP 20% and 0% by using zeros as initial values were more satisfactory according to the international design guidelines and overcome the limitation of the results mentioned in point 1 as the scrub room is connected to the protected corridor so that the doctors and medical staff can enter wash their hands then go to OR1 or OR2 through the clean corridor. 3. For the first instance with nine rooms and second instances with eleven rooms, the results obtained at GAP 80%, 60% and 40% whether by using zeros as initial values or CPLEX specified initial values were not satisfactory according to the international design guidelines because one or more of the following reasons:  There are empty spaces between rooms.  The semi-protected corridor should be connected from one side to PACU and connected to the protected corridor form the other side.  Scrub room should be connected to protected corridor to be accessed before moving to the operating rooms.  Induction room should be shared between operating rooms. 4. For the second instance with eleven rooms, the trials were very time consuming and it was difficult to obtain results with GAP less than 38.2%. 5. For the third instance with thirteen rooms, the trials were very time consuming. The only results obtained was at GAP 70% after stopping the program manually and the resulted layout was not satisfactory according to the international design guidelines for the same reasons mentioned in point 3. 6. For the first case study of Al-Assema Hospital, the resulted layout wasn’t satisfactory according to the international design standards at GAP 80%, 60% and 40% as the rooms in the layout were scattered randomly without consideration to the internal relationship. In addition, the computation time increased dramatically at Gap 40%.