Methods to increase the productivity of container terminals based on lean service

Roquemar de Lima Baldam, Moacyr Reis Neto, Luciano Lessa Lorenzoni, Lourenço Costa, Thalmo de Paiva Coelho Junior

Abstract


This article aims to demonstrate the relationship between the actions planned and executed by the company studied to increase port productivity and the Lean Service theory, which comes to be the adaptation of lean principles that have emerged from manufacturing to the service sector. The company cited in this article is one of the major container terminals affiliated to the Brazilian Association of Container Terminals for Public Use. The main purpose of this segment is related to the speed of operations, driven by customer requirement to maintain your boat moored in the shortest time in port due to high costs of late completion of their routes. The main findings indicate that the actions taken by the company to improve productivity indicators are directly related to process optimization, and consequently to increase the speed of the containers loading and unloading operations.


Keywords


Lean service; productivity; container terminals; service management

References


ABRATEC – Associação Brasileira de Terminais de Contêineres de Uso Público (2017). http://www.abratec-terminais.org.br. 12 de Janeiro de 2011.

Åhlström, P. (2004). Lean Service Operations: translating lean production principles to service operations. International Journal of Services Technology and Management, 5(5/6): 545-564.

Bowen, D. E., & Youngdahl, W. E. (1998) “Lean” Service: in defense of a production-line approach. International Journal of Service Industry Management, 9(3): 207-225.

Chu, C.¨Y., & Huang, W. C. (2005) Determining Container Terminal Capacity on the Basis of an Adopted Yard Handling System. Transport Reviews, 25(2): 181-199.

Fitzsimmons, J. A., & Fitzsimmons, M. (2005). Administração de Serviços: operações, estratégia e tecnologia de informação. Porto Alegre: Bookman, 4. ed..

Godinho, M., & Fernandes, F. C. F. (2004) Manufatura Enxuta: uma revisão que classifica e analisa os trabalhos apontando perspectivas de pesquisas futuras. Gestão & Produção, 11:1-19.

Goodchild, A. V. , & Daganzo, C. F. (2006). Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations. Transportation Science, 40:473-483.

Henning, E., Bernardo, M., & Walter, O. (2017). Lean material handling system applied to an order manufacturing process. Journal of Lean Systems, 2(1): 33-51.

Jadhav, J., Mantha, S, & Rane, S. (2014). Exploring barriers in lean implementation. International Journal of Lean Six Sigma. 5(2):122 -148.

Jones, D. T. (2006) Lean in Delivering Services. Lean Summit 2006. São Paulo, SP.

Kim, K. H., & Kim, K. Y. (199) An Optimal Routing Algorithm for a Transfer Crane in Port Container Terminals. Transportation Science, 33(1).

Kim, K. H., Park, Y. M. , & Jin, M. J. (2007). An optimal layout of container yards. OR Spectrum, 30: 675-695.

Li, C. L., & Vairaktarakis, G. L. (2004). Loading and unloading operations in container terminals. IIE Transactions, 36: 287-297.

Linn, R .J., & Zhang, C. Q. (2002). A heuristic for dynamic yard crane deployment in a container terminal. IIE Transactions, 35:161-174.

Malmbrandt, M., & Ahlstrom, P. (2013). An instrument for assessing lean service adoption. International Journal of Operations & Production Management. 33(9):1131 -1165.

Meisel, F., & Wichmann, M. (2010). Container sequencing for quay cranes with internal reshuffles. OR Spectrum, 32: 569-561.

Roscoe, M., Mattos. C., & Miguel, P. (2017). Proposal of process organization based on lean office principles applied in a small-sized company of management of small properties. Journal of Lean Systems, 2(3): 37-63.

Sacone, S., & Siri, S. (2009). An integrated simulation-optimization framework for the operational planning of seaport container terminals. Mathematical and computer modelling of dynamical systems, 15(3): 275-293.

Sánchez, A. M., & Pérez, M. P. (2004). The use of lean indicators for operations management in services. International Journal of Services Technology and Management, 5(5/6): 465-478.

Swank, C. K. (2003). The Lean Service Machine. Harvard Business Review, 81(10):123-130.

Ng, W. C., & Mak, K. L. (2005). An effective heuristic for scheduling a yard crane to handle jobs with different ready times. Engineering Optimization, 37(8): 867-877.

Wanke. P, & Falcâo, B. (2017). Cargo allocation in Brazilian ports: An analysis through fuzzy logic and social networks. Journal of Transport Geography, 60:33–46.

Womack, J. P., & Jones, D. T. (1994). From Lean Production to the Lean Enterprise. Harvard Business Review, 72(2): 93-103.

Womack, J. P., & Jones, D. T. (2005). Lean Consumption. Harvard Business Review, 83(3): 58-69.

Zarrin, M, & Azadeh, A. (2017). Simulation optimization of lean production strategy by considering resilience engineering in a production system with maintenance policies. Simulation. 93(1): 49–68.


Refbacks

  • There are currently no refbacks.


_________________________________________________________

Licença Creative Commons
This journal is licenced under a Creative Commons LicenseCreative Commons - Atribuição-CompartilhaIgual 4.0 Internacional.

Contact: lean@contato.ufsc.br
Tel: +554837217062

EPS - Departamento de Engenharia de Produção e Sistemas

CTC - Centro Tecnológico

UFSC - Universidade Federal de Santa Catarina

Caixa Postal 476 - Campus Universitário - Trindade