Timber terminal capacity planning through queuing theory

This article develops a port planning and operations model for capacity planning at a timber terminal. The analytical model underlying the system is the closed queuing network model. The model evaluates the efficiency of the timber terminal in relation to the cargo handling system and its impact on terminal throughput capacity. The model considers the interaction between cargo handling elements of a timber terminal, that is forklifts, tractors, trailers and quay cranes, to investigate congestion points and how each element affects the other parts of the cargo handling system. The output of the model is the performance statistics of the cargo handling equipments of the terminal, the throughput of quay cranes and the forecast of the terminal's throughput capacity. The implementation of the model to Port Klang timber terminal shows how it can provide guidance for port authorities and port operators in formulating economically efficient operational and expansion strategies.

[1]  van Km Kees Hee,et al.  Decision support system for container terminal planning , 1988 .

[2]  Kek Choo Chung,et al.  Port performance indicators , 1993 .

[3]  Wayne K. Talley,et al.  An Economic Theory of the Port , 2006 .

[4]  Branislav Dragović,et al.  Simulation Modelling of Ship-Berth Link With Priority Service , 2005 .

[5]  Luca Maria Gambardella,et al.  Simulation and Planning of an Intermodal Container Terminal , 1998, Simul..

[6]  Mark S. Daskin,et al.  An approximate analytic model of supertanker lightering operations , 1983 .

[7]  K. Mani Chandy,et al.  Open, Closed, and Mixed Networks of Queues with Different Classes of Customers , 1975, JACM.

[8]  Tongtong Chen Yard operations in the container terminal-a study in the ‘unproductive moves’ , 1999 .

[9]  Anne Goodchild,et al.  The Clean Trucks Program: Evaluation of Policy Impacts on Marine Terminal Operations , 2008 .

[10]  James R. Jackson,et al.  Jobshop-Like Queueing Systems , 2004, Manag. Sci..

[11]  W. J. Gordon,et al.  Closed Queuing Systems with Exponential Servers , 1967, Oper. Res..

[12]  Branislav Dragović,et al.  A Queuing Model Study of Port Performance Evolution , 2011 .

[13]  Wayne K. Talley,et al.  OCEAN CONTAINER TRANSPORTATION: AN OPERATIONAL PERSPECTIVE , 1990 .

[14]  Gordon Wilmsmeier,et al.  Port Efficiency and International Trade: Port Efficiency as a Determinant of Maritime Transport Costs , 2003 .

[15]  Ebrahim Shayan,et al.  Investigation of port capacity under a new approach by computer simulation , 2002 .

[16]  Frederick S. Hillier,et al.  Introduction to Management Science; A Modeling and Case Studies Approach with Spreadsheets , 1999 .

[17]  Stefan Voß,et al.  Container terminal operation and operations research — a classification and literature review , 2004 .

[18]  Eugene Wong,et al.  The solution of separable queueing network models using mean value analysis , 1981, SIGMETRICS '81.

[19]  van Km Kees Hee,et al.  Portplan : decision support system for port terminals , 1986 .

[20]  B. Slack CONTAINERIZATION, INTER-PORT COMPETITION, AND PORT SELECTION , 1985 .

[21]  Yih-Ching Juang,et al.  Empirical studies on yard operations Part 2: Quantifying unproductive moves undertaken in quay transfer operations , 2000 .

[22]  K. Banasiewicz Economic and organizational effects of different legal and organizational forms of enterprises , 2006 .

[23]  D. Shneerson,et al.  Short term planning for a ports system , 1983 .

[24]  Liang Chen Legal and practical consequences of not complying with ISM code , 2000 .

[25]  Frederick S. Hillier,et al.  Introduction to Management Science , 1999 .

[26]  Hisham M. Mehanna,et al.  Simulation and Planning for Re-irradiation , 2012 .

[27]  Emrullah Demirci Simulation Modelling and Analysis of a Port Investment , 2003, Simul..

[28]  Stephen S. Lavenberg,et al.  Mean-Value Analysis of Closed Multichain Queuing Networks , 1980, JACM.

[29]  Ernst G. Frankel,et al.  Port planning and development , 1987 .

[30]  Pasquale Legato,et al.  Yard Crane Management by Simulation and Optimisation , 2009 .

[31]  Zoran R. Radmilovich Ship-Berth Link as Bulk Queueing System in Ports , 1992 .

[32]  Branislav Dragović,et al.  Ship-berth link performance evaluation: simulation and analytical approaches , 2006 .