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논문 기본 정보

자료유형
학술대회자료
저자정보
Mitsuo Gen (Waseda University) Seren Ozmehmet Tasan (Waseda University) Kayoko Hirano (Kanazawa Institute of Technology)
저널정보
한국경영과학회 한국경영과학회 학술대회논문집 한국경영과학회 2008년 춘계공동학술대회 논문집
발행연도
2008.5
수록면
326 - 335 (10page)

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In recent years, companies in the hospitality and tourism industry have been facing the competitiveness under the pressure of globalization. In such an environment, especially human resource management plays an important role helping the hotel to maintain or improve its place in the service environment. In human resource management, resource allocation, where allocation of the resources to the tasks has to be done in an effective way, is one of the central problems faced in hospitality and tourism industry. Traditionally, in academic literature, most of the researchers simplified the resource allocation problem and ignored some real-world issues such as operational precedence constraints among the tasks and skill requirements for the resources. In the past decade, to solve hotel management problems, several solution approaches, due to the problem complexity mostly heuristics and meta-heuristics, have been proposed. Among these solution approaches, evolutionary algorithms, which are proven to be efficient and robust, have been used in a variety of fields including hotel management area to find an optimal solution for the problem.
The purpose of this tutorial is to present the applications of evolutionary algorithms in hotel management systems. The intent of the tutorial is to enable the researchers and practitioners in the conference to promote a better understanding of human resource allocation model with operational precedence constraints and skill requirements in real-world and evolutionary algorithm applications to solve this model.

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Abstract
1. Introduction
2. Tourism and Hospitality Management
3. Multistage Decision-based Genetic Algorithm
4. A Real-World Human Resource Allocation Problem in a Japanese-style Hotel
5. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2018-020-000840616