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Article
A Bi-level Heuristic Solution for the Nurse Scheduling Problem Based on Shift-swapping
School of Computer Science & Engineering Faculty Publications
  • Ahmed Youssef, Fordham University
  • Samah Senbel, Sacred Heart University
Document Type
Conference Proceeding
Publication Date
1-1-2018
Abstract

This paper presents a new heuristic solution to the well-known Nurse Scheduling Problem (NSP). The NSP has a lot of constraints to satisfy. Some are mandatory and specified by the hospital administration, these are known as hard constraints. Some constraints are put by the nurses themselves to produce a comfortable schedule for themselves, and these are known as soft constraints. Our solution is based on the practice of shift swapping done by nurses after they receive an unsatisfactory schedule. The constraints are arranged in order of importance. Our technique works on two levels, first we generate a schedule that satisfies all the hard constraints and guarantees fairness. The next level is to attempt to satisfy as many as possible of the soft constraints, by shift-swapping while maintaining the hard constraints. The technique was implemented as a simulation and demonstrated a satisfactory outcome

DOI
10.1109/CCWC.2018.8301623
Citation Information

Youssef, A. & Senbel, S. (2018, Jan.). A Bi-level heuristic solution for the nurse scheduling problem based on shift-swapping. Paper presented at IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, Nevada. doi:10.1109/CCWC.2018.8301623