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A multi—objectiVe mathematical model for nurse scheduling problem with hybrid DEA and augmented a—constraint method: a case study

Credit to Download: 1 | Page Numbers 10 | Abstract Views: 75
Year: 2017
COI code: IIEC14_036
Paper Language: English

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Authors A multi—objectiVe mathematical model for nurse scheduling problem with hybrid DEA and augmented a—constraint method: a case study

Mojtaba Hamid - PhD student, Iran University ofScience and Technology, Tehran, Iran
  Farnaz Barzinpour - Associate Professor of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  Mahdi Hamid - PhD student, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  Saeed Mirzamohammadi - Assistant Professor of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract:

The efficient management of nursing personnel is of vital importance in a hospital’s environment comprising a vast share of the hospital’s operational costs. In the nurse scheduling problem (NSP), the target is to allocate shifts to the nurses in order to satisfy the hospital’s demand during the planning horizon by considering different objective functions. This paper presents a multi-objective mathematical model with the aims of reducing the costs that the hospital is supposed to pay, maximizing nurses’ satisfaction, and balancing the workload of nurses. Nurses’ preferences for working in particular shifts and weekend off are considered in this model. In order to solve the model, a two—step procedure is used. In the first step, to show the applicability of the proposed model, a real case study is provided and is solved using augmented s—constraint method. Then, the best solution is selected among Pareto solutions using data analysis envelopment (DEA). Finally, several analyses are performed to develop managerial implications.

Keywords:

Nurse scheduling problem; Multi—objective model; Augmented a—constraint method; Data analysis envelopment

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COI code: IIEC14_036

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Hamid, Mojtaba; Farnaz Barzinpour; Mahdi Hamid & Saeed Mirzamohammadi, 2017, A multi—objectiVe mathematical model for nurse scheduling problem with hybrid DEA and augmented a—constraint method: a case study, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_036.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Hamid, Mojtaba; Farnaz Barzinpour; Mahdi Hamid & Saeed Mirzamohammadi, 2017)
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