A solution of human resource allocation problem in a case of hotel management

Kayoko Murakami, Seren Ozmehmet Tasan, Mitsuo Gen, Takashi Oyabu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The purpose of this study is to optimally allocate the human resources to tasks while minimizing the total daily human resource costs and smoothing the human resource usage. This human resource allocation problem (hRAP) has two kinds of special constraints, i.e. operational precedence and skill constraints in addition to the ordinary constraints. To deal with the multiple objectives and the special constraints, first we designed this hRAP as a network problem and then proposed a Pareto multistage decision-based genetic algorithm (P-mdGA) to solve it. During the evolutionary process of P-mdGA, a Pareto evaluation procedure called generalized Pareto-based scale-independent fitness function approach was used to evaluate the solutions. Additionally, in order to improve the performance of P-mdGA, we used fuzzy logic controller for fine-tuning genetic parameters. Finally, in order to demonstrate the applicability and to evaluate the performance of the proposed approach, P-mdGA was applied to solve a case study in a hotel, where the managers usually need helpful automatic support for effectively allocating hotel staff to hotel tasks.

Original languageEnglish
Title of host publication40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010
DOIs
Publication statusPublished - 2010
Event40th International Conference on Computers and Industrial Engineering, CIE40 2010 - Awaji
Duration: 2010 Jul 252010 Jul 28

Other

Other40th International Conference on Computers and Industrial Engineering, CIE40 2010
CityAwaji
Period10/7/2510/7/28

Fingerprint

Hotels
Resource allocation
Personnel
Genetic algorithms
Fuzzy logic
Managers
Tuning
Controllers
Costs

Keywords

  • Human resource
  • Operational precedence constraint
  • Pareto evaluation
  • Resource allocation
  • Skill, genetic algorithm
  • Smoothing resource usage

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Murakami, K., Tasan, S. O., Gen, M., & Oyabu, T. (2010). A solution of human resource allocation problem in a case of hotel management. In 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010 [5668447] https://doi.org/10.1109/ICCIE.2010.5668447

A solution of human resource allocation problem in a case of hotel management. / Murakami, Kayoko; Tasan, Seren Ozmehmet; Gen, Mitsuo; Oyabu, Takashi.

40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010. 2010. 5668447.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Murakami, K, Tasan, SO, Gen, M & Oyabu, T 2010, A solution of human resource allocation problem in a case of hotel management. in 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010., 5668447, 40th International Conference on Computers and Industrial Engineering, CIE40 2010, Awaji, 10/7/25. https://doi.org/10.1109/ICCIE.2010.5668447
Murakami K, Tasan SO, Gen M, Oyabu T. A solution of human resource allocation problem in a case of hotel management. In 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010. 2010. 5668447 https://doi.org/10.1109/ICCIE.2010.5668447
Murakami, Kayoko ; Tasan, Seren Ozmehmet ; Gen, Mitsuo ; Oyabu, Takashi. / A solution of human resource allocation problem in a case of hotel management. 40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010. 2010.
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