Robust optimisation model for the cold food chain logistics problem under uncertainty
In the last two decades, food safety has become one of the main concerns in the area of logistics and supply chain management and also in cold chain. Safety is a critically sensitive area in this category as if the required safety conditions are not satisfied during the logistics process, foods will...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
Inderscience Publishers
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/48338 |
| _version_ | 1848758081604812800 |
|---|---|
| author | Behzadi, Golnar Sundarakani, Balan Mardaneh, Elham |
| author_facet | Behzadi, Golnar Sundarakani, Balan Mardaneh, Elham |
| author_sort | Behzadi, Golnar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In the last two decades, food safety has become one of the main concerns in the area of logistics and supply chain management and also in cold chain. Safety is a critically sensitive area in this category as if the required safety conditions are not satisfied during the logistics process, foods will soon deteriorate and probably become unsafe to use by customers. Thus, the problem of cold food safety has encouraged serious attentions among the logistics practitioners. However, because of the complexity in nature of such problems, research so far is limited to the quantitative models with deterministic parameters and the robustness of this nature still remains unanswered. In this paper, a robust optimisation model has been developed aiming to maximise the food safety aspects and thus to minimise the logistics cost of the cold chain system under various uncertainties and customers time windows restrictions. The model has been solved by artificial bee colony intelligence algorithm through MATLAB 8 software. Finally, the results are analysed for possible real world considerations in order to propose some key practical highlights. |
| first_indexed | 2025-11-14T09:38:19Z |
| format | Journal Article |
| id | curtin-20.500.11937-48338 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:38:19Z |
| publishDate | 2013 |
| publisher | Inderscience Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-483382017-09-13T14:19:39Z Robust optimisation model for the cold food chain logistics problem under uncertainty Behzadi, Golnar Sundarakani, Balan Mardaneh, Elham artificial intelligence robust optimisation cold chain safety food logistics uncertainty In the last two decades, food safety has become one of the main concerns in the area of logistics and supply chain management and also in cold chain. Safety is a critically sensitive area in this category as if the required safety conditions are not satisfied during the logistics process, foods will soon deteriorate and probably become unsafe to use by customers. Thus, the problem of cold food safety has encouraged serious attentions among the logistics practitioners. However, because of the complexity in nature of such problems, research so far is limited to the quantitative models with deterministic parameters and the robustness of this nature still remains unanswered. In this paper, a robust optimisation model has been developed aiming to maximise the food safety aspects and thus to minimise the logistics cost of the cold chain system under various uncertainties and customers time windows restrictions. The model has been solved by artificial bee colony intelligence algorithm through MATLAB 8 software. Finally, the results are analysed for possible real world considerations in order to propose some key practical highlights. 2013 Journal Article http://hdl.handle.net/20.500.11937/48338 10.1504/IJLEG.2013.058821 Inderscience Publishers restricted |
| spellingShingle | artificial intelligence robust optimisation cold chain safety food logistics uncertainty Behzadi, Golnar Sundarakani, Balan Mardaneh, Elham Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title | Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title_full | Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title_fullStr | Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title_full_unstemmed | Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title_short | Robust optimisation model for the cold food chain logistics problem under uncertainty |
| title_sort | robust optimisation model for the cold food chain logistics problem under uncertainty |
| topic | artificial intelligence robust optimisation cold chain safety food logistics uncertainty |
| url | http://hdl.handle.net/20.500.11937/48338 |