A decision support method for internal truck employment

Z. X. Wang, Tung Sun Chan, Sai Ho Chung, Ben Niu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


Purpose-The purpose of this paper is to propose a model that determines the strategy of owning and renting trucks in combinations with internal truck scheduling and storage allocation problems in container terminals.Design/methodology/approach-To deal with this complicated problem, a two-level heuristic approach is developed, in which the integration problem is decomposed into two levels. The first level determines the daily operations of the internal trucks, while the second level determines the truck employment strategy based on the calculation in the first level.Findings-The results show that: even if the using cost of owned yard trucks is much lower than the cost of rented yard tucks, terminal companies should not purchase too many trucks when the purchasing price is high. In addition, the empirical truck employment strategies, which are purchasing all the trucks or renting all the trucks, are not cost-effective when compared with the proposed yard truck employment strategy.Originality/value-The paper provides a novel insight for the internal truck employment strategy in container terminals which is the determination of the strategy of employing renting and outsourcing yard trucks to meet operational daily transportation requirements and minimize the long-term cost of employing yard trucks. A mathematical model is proposed to deal with the practical problem. Also, this study presents better solution than empirical method for employing different types of yard truck. Thus, in order to obtain more benefit, terminal companies should employ the proposed yard truck employment strategy.
Original languageEnglish
Pages (from-to)1378-1395
Number of pages18
JournalIndustrial Management and Data Systems
Issue number9
Publication statusPublished - 1 Jan 2014


  • Container terminal
  • Genetic algorithm
  • Storage allocation
  • Yard truck scheduling

ASJC Scopus subject areas

  • Management Information Systems
  • Industrial relations
  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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