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Planning and optimising manpower management in a transshipment container terminal

Author

Listed:
  • Massimo Di Francesco
  • Antonio Manca
  • Simone Zanda
  • Paola Zuddas

Abstract

Manpower management is a complex problem for transshipment container terminals, because different requirements must be taken into account in the short-term plan to properly assign workers to shifts, tasks and operations, while accounting for some decisions already made in the long-term plan. An optimisation model is formulated to discuss the decision-making ability of a real terminal in dealing with this problem. The experimentation shows that its current policy on the short-term plan is effective, but some improvements can be obtained if unnecessary restrictions were removed from the long-term plan and some changes are accepted in the current modus operandi of the terminal. [Received 16 February 2015; Revised 4 January 2016; Accepted 13 June 2016]

Suggested Citation

  • Massimo Di Francesco & Antonio Manca & Simone Zanda & Paola Zuddas, 2016. "Planning and optimising manpower management in a transshipment container terminal," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(6), pages 777-793.
    • Handle: RePEc:ids:eujine:v:10:y:2016:i:6:p:777-793
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    Cited by:

    1. B. Adenso-Díaz & N. García Álvarez & J. A. Lago Alba, 2020. "A fuzzy AHP classification of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 218-238, June.
    2. Tamás Bányai & Christian Landschützer & Ágota Bányai, 2018. "Markov-Chain Simulation-Based Analysis of Human Resource Structure: How Staff Deployment and Staffing Affect Sustainable Human Resource Strategy," Sustainability, MDPI, vol. 10(10), pages 1-21, October.

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