Polynomially solvable personnel rostering problems
نویسندگان
چکیده
Personnel rostering is a personnel scheduling problem in which shifts are assigned to employees, subject to complex organisational and contractual time-related constraints. Academic advances in this domain mainly focus on solving specific variants of this problem using intricate exact or (meta)heuristic algorithms, while little attention has been devoted to studying the underlying structure of the problems. The general assumption is that these problems, even in their most simplified form, are NP-hard. However, such claims are rarely supported with a proof for the problem under study. The present paper refutes this assumption by presenting minimum cost network flow formulations for several personnel rostering problems. Additionally, these problems are situated among the existing academic literature to obtain insights into what makes personnel rostering hard. © 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
منابع مشابه
Polynomially solvable formulations for a class of nurse rostering problems
Identifying underlying structures in combinatorial optimisation problems leads to a better understanding of a problem and, consequently, to efficient solution methodologies. The present paper introduces a new network flow formulation for a large class of nurse rostering problems. By solving an integer minimum cost flow problem in a carefully constructed network, nurses’ shift schedules can be c...
متن کاملDetermining feature weights using a genetic algorithm in a case-based reasoning approach to personnel rostering
Personnel rostering problems are highly constrained resource allocation problems. Human rostering experts have many years of experience in making rostering decisions which reflect their individual goals and objectives. We present a novel method for capturing nurse rostering decisions and adapting them to solve new problems using the Case-Based Reasoning (CBR) paradigm. This method stores exampl...
متن کاملSelecting and weighting features using a genetic algorithm in a case-based reasoning approach to personnel rostering
Personnel rostering problems are highly constrained resource allocation problems. Human rostering experts have many years of experience in making rostering decisions which reflect their individual goals and objectives. We present a novel method for capturing nurse rostering decisions and adapting them to solve new problems using the Case-Based Reasoning (CBR) paradigm. This method stores exampl...
متن کاملCategorisation of nurse rostering problems
Personnel rostering has received ample attention in recent years. Due to its social and economic relevance and due to its intrinsic complexity, it has become a major subject for scheduling and timetabling researchers. Among the personnel rostering problems, nurse rostering turned out to be particularly complex and difficult. In this paper, we propose a notation for nurse rostering problems alon...
متن کاملPETRA : A Programmable Optimisation Engine and Toolbox for Personnel Rostering Applications
This paper presents a general optimisation-based rostering engine developed by the University of Auckland. This engine is designed to solve a wide range of personnel scheduling (staff rostering) problems. The engine is currently being used to roster over 700 staff at an Australian call centre and also for the rostering of 50 immigration staff at Auckland International Airport. It is being trial...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 249 شماره
صفحات -
تاریخ انتشار 2016