Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/476520
Title: Greedy conctructive heuristic and simulated annealing for solving nurse rostering problem
Authors: Rema A. Abobaker (P47948)
Supervisor: Masri Ayob, Assoc. Prof Dr.
Keywords: Heuristic algorithms
Nursing services -- Malaysia -- Administration
Universiti Kebangsaan Malaysia -- Dissertations
Dissertations, Academic -- Malaysia
Issue Date: 8-Jul-2011
Description: Nurse rostering problems include the distribution of nurses to shifts under given rules. The aim is to generate a roster that satisfies all hard constraints (mandatory) and as many soft constraints (optional) as possible. This work is a NP-hard problem, so we introduce a greedy constructive heuristic algorithm, based on a build pattern for two weeks that needs to satisfy all hard constraints. Firstly, one is allocated to meet a minimum coverage of night demand, and then another pattern is built to satisfy the remaining shifts. If the solution is not feasible, a repair mechanism algorithm is applied, and a simulated annealing is used to improve the solution. The Universiti Kebangsaan Malaysia Medical Center (UKMMC) is used as a case study for this work to test our method. The results showed that, in many cases, the presented approaches outperformed other approaches which were used on UKMMC datasets.,“Certification of Master’s/Doctoral Thesis” is not available,Master Information Technology
Pages: 51
Call Number: QA76.9.A43A109 2011 3 tesis
Publisher: UKM, Bangi
Appears in Collections:Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat

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