The dynamic programming model for optimal allocation of laden shipping containers to Nigerian seaports Article Swipe
Harrison O. Amuji
,
Donatus Eberechukwu Onwuegbuchunam
,
Moses Olatunde Aponjolosun
,
Kenneth Okechukwu Okeke
,
Justice C. Mbachu
,
John Folayan Ojutalayo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.14254/jsdtl.2022.7-2.5
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.14254/jsdtl.2022.7-2.5
In highly competitive shipping market environment, container network operators-Freight forwarders, shipping companies etc. are concerned about design, development and deployment of optimized allocation model to achieve cost savings through improved container storage yard operations, crane productivity, outbound container allocation/distribution to seaport terminals and hence reduction in ships’ waiting times. In this paper, we developed two models, the Dynamic programming model and optimal allocation policy (model), for the optimal allocation of units of outbound laden cargo containers of sizes: 20ft and 40ft to six (6) major seaports in Nigeria. The distributions of the laden containers were allocated as follows: Port-Harcourt, Tincan Island, Onne, and Calabar seaports were allocated with 1,064 units of stuffed containers each. Apapa seaport was allocated with 2,128 units of laden containers, and zero allocation was made to Warri seaport. These results were arrived at through the implementation of the optimal allocation policy. The zero units allocation made to Warri seaport could be attributed to poor shipper patronage and hence the low frequency of ship visits. Apapa seaport was allocated double the number of containers moved to the remaining ports because it attracted more shipper patronage and hence more ship visits. Hence, freight forwarding companies will be assured of cargo spaces and make more profit by allocating more containers. Policy implications of the developed models were discussed.
Related Topics
Concepts
Yard
Profit (economics)
Container (type theory)
Port (circuit theory)
Operations research
Software deployment
Transport engineering
Optimal allocation
Business
Operations management
Engineering
Economics
Mathematical optimization
Physics
Software engineering
Electrical engineering
Quantum mechanics
Mechanical engineering
Mathematics
Microeconomics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14254/jsdtl.2022.7-2.5
- https://jsdtl.sciview.net/index.php/jsdtl/article/download/181/117
- OA Status
- diamond
- Cited By
- 4
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320059352
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320059352Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.14254/jsdtl.2022.7-2.5Digital Object Identifier
- Title
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The dynamic programming model for optimal allocation of laden shipping containers to Nigerian seaportsWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-19Full publication date if available
- Authors
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Harrison O. Amuji, Donatus Eberechukwu Onwuegbuchunam, Moses Olatunde Aponjolosun, Kenneth Okechukwu Okeke, Justice C. Mbachu, John Folayan OjutalayoList of authors in order
- Landing page
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https://doi.org/10.14254/jsdtl.2022.7-2.5Publisher landing page
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https://jsdtl.sciview.net/index.php/jsdtl/article/download/181/117Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://jsdtl.sciview.net/index.php/jsdtl/article/download/181/117Direct OA link when available
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Yard, Profit (economics), Container (type theory), Port (circuit theory), Operations research, Software deployment, Transport engineering, Optimal allocation, Business, Operations management, Engineering, Economics, Mathematical optimization, Physics, Software engineering, Electrical engineering, Quantum mechanics, Mechanical engineering, Mathematics, MicroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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