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Nurse scheduling using constraint logic programming

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Scheduling and Timetabling Solutions Healthcare Operations and Scheduling Optimization Constraint Satisfaction and Optimization

Abstract

The nurse scheduling problem consists of assigning working shifts to each nurse on each day of a certain period of time. A typical problem comprises 600 to 800 assignments that have to take into account several requirements such as minimal allocation of a station, legal regulations and wishes of the personnel. This planning is a difficult and time-consuming expert task and is still done manually. INTERDIP 1 is an advanced industrial prototype that supports semi-automatic creation of such rosters. Using the artificial intelligence approach, constraint reasoning and constraint programming, INTERDIP creates a roster interactively within some minutes instead of by hand some hours. Additionally, it mostly produces better results. INTERDIP was developed in collaboration with Siemens Nixdorf. It was presented at the Systems'98 Computer exhibition in Munich and several companies have inquired to market our system. Introduction Many real-life problems lead to combinatorial search, computatio...

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1976Scheduling Nursing Personnel According to Nursing Preference: A Mathematical Programming Approach 1981A Multiple Objective Nurse Scheduling Model

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2008A shift scheduling model for employees with different seniority levels and an application in healthcare 2008A shift sequence based approach for nurse scheduling and a new benchmark dataset 2003Modeling staff scheduling problems. A tutorial 2007Solving the multi-objective nurse scheduling problem with a weighted cost function 2006NURSE SCHEDULING USING INTEGER LINEAR PROGRAMMING AND CONSTRAINT PROGRAMMING 2007Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations 2012Cyclic staff scheduling: optimization models for some real-life problems 2006A column generation approach for an employee scheduling problem with multiple shifts and work locations

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