Tramp Shipping Optimization: A Critical Review

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Said El Noshokaty
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Abstract

The purpose of this review is to summarize the existing literature on tramp shipping as to explain the current state of understanding on the optimization approaches adopted in such discipline. The review comes with critics to the current literature of tramp shipping optimization to guide the researchers where to go. One such critical review is in the operational planning of cargo mix selection. Currently, the optimal cargo mix is the one who contributes more to a gross-profit objective, assuming deterministic cargo transport demand. Since time varies considerably from one alternative ship voyage to another, a research work now exists which considers this objective less profitable than gross -profit -per -day objective, assuming both deterministic and stochastic cargo transport demand. The cargo mix should be selected because of the higher gross profit it is expected to yield and the less number of days it takes to generate such profit. Another critical review is in the tactical planning of allocating ships to cargo trade areas. A research work now exists which considers the optimally allocated fleet to cargo trade areas as representing the cargo transport demand in these areas. Planner of utilities in a cargo trade area such as ports, canals, and straits can re-optimize this allocation in different what-if scenarios to fix prices of utility services; e.g., different cargo freights and quantities. A third critical review is in the strategic planning of appraising new ships. A research work now exists which considers the new ship as a fleet unit when the fleet is optimally allocated to cargo trade areas.

References

33 Cites in Article
  1. L Appelgren (1969). A Column Generation Algorithm for a Ship Scheduling Problem.
  2. Leif Appelgren (1971). Integer Programming Methods for a Vessel Scheduling Problem.
  3. R Bakkehaug,J Rakke,K Fagerholt (2016). An Adaptive Large Neighborhood Search Heuristic for Fleet Deployment with Voyage Separation Requirements.
  4. Dan Bausch,Gerald Brown,David Ronen (1998). Scheduling short-term marine transport of bulk products.
  5. W Bremer,A Perakis (1992). An Operational Tanker Scheduling Optimisation System: Back Ground, Current Practice and Model Formulation.
  6. W Bremer,A Perakis (1992). An Operational Tanker Scheduling Optimisation System: Model © 2018 Global Journals Implementation, Results and Possible Extensions.
  7. Gerald Brown,Glenn Graves,David Ronen (1987). Scheduling Ocean Transportation of Crude Oil.
  8. A Charnes,W Cooper (1959). Chance-Constrained Programming.
  9. Marielle Christiansen,Kjetil Fagerholt,David Ronen (2004). Ship Routing and Scheduling: Status and Perspectives.
  10. Marielle Christiansen,Kjetil Fagerholt,Bjørn Nygreen,David Ronen (2007). Chapter 4 Maritime Transportation.
  11. M Christiansen,K Fagerholt,B Nygreen,Ronen,D (2013). Ship Routing and Scheduling in the New Millennium.
  12. M Christiansen,K Fagerholt (2014). Ship routing and scheduling in industrial and tramp shipping.
  13. George Dantzig,Philip Wolfe (1960). Decomposition Principle for Linear Programs.
  14. El Noshokaty,S (1988). Shipping Optimisation Systems (SOS): tramp optimisation perspective.
  15. El Noshokaty,S (2013). Shipping optimisation systems (SOS): liner optimisation perspective.
  16. El Noshokaty,S (2014). Block-angular linear ratio programmes.
  17. S El Noshokaty (2017). Shipping Optimisation Systems (SOS): Tramp Optimisation Perspective.
  18. S El Noshokaty (2017). The Coupled Operational Systems: A Linear Optimisation Review.
  19. J Evans,P Marlow (1990). Quantitative Methods in Maritime Economics.
  20. K Fagerholt,H Lindstad (2000). Optimal policies for maintaining a supply service in the Norwegian Sea.
  21. Kjetil Fagerholt (2001). Ship scheduling with soft time windows: An optimisation based approach.
  22. Kjetil Fagerholt (2004). A computer-based decision support system for vessel fleet scheduling—experience and future research.
  23. K Fagerholt,M Christiansen,L Hvattum,T Johnsen,T Vabo (2010). A Decision Support Methodology for Strategic Planning in Maritime Transportation.
  24. C Fields,L Shingles (2016). Trade in a sea of uncertainty: Seaborne trade remains vulnerable to a throng of downside risks, according to the latest UNCTAD report.
  25. Ahmad Hemmati,Lars Hvattum,Kjetil Fagerholt,Inge Norstad (2014). Benchmark Suite for Industrial and Tramp Ship Routing and Scheduling Problems.
  26. D Jaramillo,A Perakis (1991). Fleet Deployment Optimisation for Liner Shipping -Part 2: Implementation and results.
  27. S Kim,K Loe (1997). An Optimisation-Based Decision Support System for 28.
  28. J Laake,A Zhang (2013). An optimisation model for strategic fleet planning in tramp shipping.
  29. Dung-Ying Lin,Hui-Yen Liu (2011). Combined ship allocation, routing and freight assignment in tramp shipping.
  30. M Osman,S Hassan,M Roshdy (1993). Generalized Model for Solving the Tramp Ship Scheduling Problem with Multi-Commodity.
  31. A Perakis,D Jaramillo (1991). Fleet deployment optimization for liner shipping Part 1. Background, problem formulation and solution approaches.
  32. B Powell,A Perkins (1997). Fleet deployment optimization for liner shipping: an integer programming model.
  33. P Tsilingiris (2005). A Multi-Stage Decision-Support Methodology for the Optimisation-Based Liner-Network Design.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Said El Noshokaty. 2018. \u201cTramp Shipping Optimization: A Critical Review\u201d. Global Journal of Management and Business Research - F: Real estate, Event, Tourism Management & Transporting GJMBR-F Volume 18 (GJMBR Volume 18 Issue F1): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-F Classification: FOR Code: 150799
Version of record

v1.2

Issue date

April 24, 2018

Language
en
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The purpose of this review is to summarize the existing literature on tramp shipping as to explain the current state of understanding on the optimization approaches adopted in such discipline. The review comes with critics to the current literature of tramp shipping optimization to guide the researchers where to go. One such critical review is in the operational planning of cargo mix selection. Currently, the optimal cargo mix is the one who contributes more to a gross-profit objective, assuming deterministic cargo transport demand. Since time varies considerably from one alternative ship voyage to another, a research work now exists which considers this objective less profitable than gross -profit -per -day objective, assuming both deterministic and stochastic cargo transport demand. The cargo mix should be selected because of the higher gross profit it is expected to yield and the less number of days it takes to generate such profit. Another critical review is in the tactical planning of allocating ships to cargo trade areas. A research work now exists which considers the optimally allocated fleet to cargo trade areas as representing the cargo transport demand in these areas. Planner of utilities in a cargo trade area such as ports, canals, and straits can re-optimize this allocation in different what-if scenarios to fix prices of utility services; e.g., different cargo freights and quantities. A third critical review is in the strategic planning of appraising new ships. A research work now exists which considers the new ship as a fleet unit when the fleet is optimally allocated to cargo trade areas.

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Tramp Shipping Optimization: A Critical Review

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