IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i19p3707-d937989.html
   My bibliography  Save this article

Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway

Author

Listed:
  • Linfang Shen

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Kuoyu Liu

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Jinfei Chai

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Weibin Ma

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Xiaoxiong Guo

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Yao Li

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Peng Zhao

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

  • Boying Liu

    (Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
    State Key Laboratory for Track Technology of High-Speed Railway, Beijing 100081, China)

Abstract

According to the existing personnel structure, quantity, development strategy, and market demand of the Shuohuang Railway Company’s operation and maintenance project, the demand quantity of various employees of the company for the past three years is predicted, and a human resource optimization model based on existing human resources and future plans is established. Then, the optimal solutions of the two mathematical models were calculated and analyzed using LINGO software. Finally, combined with the actual situation, the optimal allocation of human resources for the operation and maintenance project of KY company was obtained. The following conclusions are obtained. (1) For the optimal allocation model of existing human resources, the maximum net profit of the optimal staffing model is CNY 3258000. (2) The human resources allocation cost of the minimum dismissal model is CNY 81000. (3) The human resources allocation cost of the lowest cost model is CNY 15500. The research results can effectively guide the human resource management of the operation and maintenance project of the Shuohuang Railway Company, and have important theoretical and practical significance for further analysis of human resources model and its optimal allocation method.

Suggested Citation

  • Linfang Shen & Kuoyu Liu & Jinfei Chai & Weibin Ma & Xiaoxiong Guo & Yao Li & Peng Zhao & Boying Liu, 2022. "Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3707-:d:937989
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/19/3707/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/19/3707/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing Cheng, 2021. "Mathematical Models and Data Analysis of Residential Land Leasing Behavior of District Governments of Beijing in China," Mathematics, MDPI, vol. 9(18), pages 1-14, September.
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Hartmann, Sonke & Kolisch, Rainer, 2000. "Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 127(2), pages 394-407, December.
    4. Erik Demeulemeester & Willy Herroelen, 1992. "A Branch-and-Bound Procedure for the Multiple Resource-Constrained Project Scheduling Problem," Management Science, INFORMS, vol. 38(12), pages 1803-1818, December.
    5. Ouchi, William, 1981. "Theory Z: How American business can meet the Japanese challenge," Business Horizons, Elsevier, vol. 24(6), pages 82-83.
    6. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    7. Adenbaum, Jacob & Copeland, Adam & Stevens, John, 2019. "Do long-haul truckers undervalue future fuel savings?," Energy Economics, Elsevier, vol. 81(C), pages 1148-1166.
    8. Forkenbrock, David J., 2001. "Comparison of external costs of rail and truck freight transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 321-337, May.
    9. Jing Cheng, 2020. "Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, April.
    10. Hartmann, Sönke & Kolisch, R., 2000. "Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 11180, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Ken Kamoche, 1996. "Strategic Human Resource Management Within A Resource‐Capability View Of The Firm," Journal of Management Studies, Wiley Blackwell, vol. 33(2), pages 213-233, March.
    12. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dieter Debels & Mario Vanhoucke, 2007. "A Decomposition-Based Genetic Algorithm for the Resource-Constrained Project-Scheduling Problem," Operations Research, INFORMS, vol. 55(3), pages 457-469, June.
    2. Debels, Dieter & De Reyck, Bert & Leus, Roel & Vanhoucke, Mario, 2006. "A hybrid scatter search/electromagnetism meta-heuristic for project scheduling," European Journal of Operational Research, Elsevier, vol. 169(2), pages 638-653, March.
    3. Lova, Antonio & Tormos, Pilar & Cervantes, Mariamar & Barber, Federico, 2009. "An efficient hybrid genetic algorithm for scheduling projects with resource constraints and multiple execution modes," International Journal of Production Economics, Elsevier, vol. 117(2), pages 302-316, February.
    4. Buddhakulsomsiri, Jirachai & Kim, David S., 2006. "Properties of multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting," European Journal of Operational Research, Elsevier, vol. 175(1), pages 279-295, November.
    5. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    6. Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
    7. Moumene, Khaled & Ferland, Jacques A., 2009. "Activity list representation for a generalization of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 199(1), pages 46-54, November.
    8. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    9. D. Debels & M. Vanhoucke, 2005. "A Decomposition-Based Heuristic For The Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/293, Ghent University, Faculty of Economics and Business Administration.
    10. Tseng, Lin-Yu & Chen, Shih-Chieh, 2006. "A hybrid metaheuristic for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 175(2), pages 707-721, December.
    11. Abdollah Arasteh, 2020. "Considering Project Management Activities for Engineering Design Groups," SN Operations Research Forum, Springer, vol. 1(4), pages 1-29, December.
    12. Xiaoyan Du & Jinfei Chai, 2022. "Stability Evaluation of Medium Soft Soil Pile Slope Based on Limit Equilibrium Method and Finite Element Method," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    13. Drexl, Andreas & Nikulin, Yuri, 2005. "Multicriteria time window-constrained project scheduling with applications to airport gate assignment. Part I: Methodology," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 595, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    14. Chen, Jiaqiong & Askin, Ronald G., 2009. "Project selection, scheduling and resource allocation with time dependent returns," European Journal of Operational Research, Elsevier, vol. 193(1), pages 23-34, February.
    15. Yamashita, Denise Sato & Armentano, Vinicius Amaral & Laguna, Manuel, 2006. "Scatter search for project scheduling with resource availability cost," European Journal of Operational Research, Elsevier, vol. 169(2), pages 623-637, March.
    16. Cédric Verbeeck & Vincent Peteghem & Mario Vanhoucke & Pieter Vansteenwegen & El-Houssaine Aghezzaf, 2017. "A metaheuristic solution approach for the time-constrained project scheduling problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 353-371, March.
    17. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    18. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    19. Li Li & Jiahui Yu & Hang Cheng & Miaojuan Peng, 2021. "A Smart Helmet-Based PLS-BPNN Error Compensation Model for Infrared Body Temperature Measurement of Construction Workers during COVID-19," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    20. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3707-:d:937989. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.