The document discusses a model for optimizing hospital facility layouts using a non-dominated sorting genetic algorithm (NSGA-II) aimed at improving patient experience and operational efficiency in multi-floor hospitals. The model focuses on minimizing patient movement and enhancing department proximity while adhering to specific constraints. Ultimately, it offers a novel approach to layout optimization, balancing multiple objectives effectively.

1. Hospital Facility Layout
Optimization
Multi-Floor Double-Row Model with
NSGA-II Algorithm

2. Problem Context
• With growing healthcare demands, hospitals
need efficient layouts to improve patient
experience and staff efficiency. Older layouts
are often based on outdated regulations,
resulting in inefficiencies.

3. Applications
• The model is applicable to multi-floor
hospitals, focusing on minimizing patient
movement and improving operational
efficiency by optimizing department
placement.

4. Objective of the Model
• The objectives are:
• 1. Minimize the total movement distance for
patients.
• 2. Maximize the closeness rating between
departments to improve non-logistical aspects
like safety and cleanliness.

5. Model Formulation
• The model is based on a double-row layout of
departments on multiple floors. It uses a non-
dominated sorting genetic algorithm (NSGA-II)
to find optimal solutions.
• Key Formulas:
• 1. Minimize Total Movement Distance: F1 = Σ Σ
c_ij * d_ij
• 2. Maximize Closeness Rating: F2 = Σ Σ r_ij *
b_ij

6. Model Constraints
• The model considers several constraints:
• - Departments must be assigned to exactly
one floor and one row.
• - No overlapping of departments or fixed
facilities.
• - Distance between departments and
elevators must be minimized.

7. Optimization Approach
• The NSGA-II algorithm is used with an
adaptive local search to find Pareto-optimal
solutions. The genetic algorithm ensures a
good spread of solutions while local search
fine-tunes them.

8. Conclusion
• The model provides a novel approach to
optimizing hospital layouts, reducing patient
movement, and increasing the efficiency of
hospital operations. The use of NSGA-II helps
in balancing multiple objectives effectively.