Simulation Modeling of An IoT Based Cold Chain Logistics Management System
The dramatic growth of the world economy has been accelerated the supply chain industry which demands logistics service to be agile, flexible and responsive. Internet technology is quite successful in transferring information between customer and logistics provider. However, the existing gap between...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2019-08-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/796056 |
| _version_ | 1797351816590000128 |
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| author | Celal Çeken Dini Abdurahman |
| author_facet | Celal Çeken Dini Abdurahman |
| author_sort | Celal Çeken |
| collection | DOAJ |
| description | The dramatic growth of the world economy has been accelerated the supply chain industry which demands logistics service to be agile, flexible and responsive. Internet technology is quite successful in transferring information between customer and logistics provider. However, the existing gap between goods flow and information flow in logistic service has created a problem in getting real-time information about temperature-sensitive items, which makes logistics management more challenging for decision-makers. Internet of Things technology seems a promising solution for monitoring, managing, and decision making in cold chain industries. This study proposes an Internet of Things based cold chain logistics that help to enhance the decision support of all actors through managing, monitoring the real-time ambient temperature of the cold chain and predicting the shelf life of temperature-sensitive products. In this preliminary study, real-time data of ambient parameters are gathered using IEEE 802.15.4 based wireless sensor networks and transferred to the remote server through a gateway so that the shelf life of the products can be predicted by the decision support system. Radio Frequency Identification (RFID) is also modeled for further considerations related to the identification issue of perishable products inside the cold chain. |
| first_indexed | 2024-03-08T13:07:02Z |
| format | Article |
| id | doaj.art-33c9ab7895fe4b3bba319bc1f57c24e2 |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:07:02Z |
| publishDate | 2019-08-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-33c9ab7895fe4b3bba319bc1f57c24e22024-01-18T16:44:35ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292019-08-01228910010.35377/saucis.02.02.59896328Simulation Modeling of An IoT Based Cold Chain Logistics Management SystemCelal Çeken0Dini Abdurahman1SAKARYA UNIVERSITYSAKARYA UNIVERSITYThe dramatic growth of the world economy has been accelerated the supply chain industry which demands logistics service to be agile, flexible and responsive. Internet technology is quite successful in transferring information between customer and logistics provider. However, the existing gap between goods flow and information flow in logistic service has created a problem in getting real-time information about temperature-sensitive items, which makes logistics management more challenging for decision-makers. Internet of Things technology seems a promising solution for monitoring, managing, and decision making in cold chain industries. This study proposes an Internet of Things based cold chain logistics that help to enhance the decision support of all actors through managing, monitoring the real-time ambient temperature of the cold chain and predicting the shelf life of temperature-sensitive products. In this preliminary study, real-time data of ambient parameters are gathered using IEEE 802.15.4 based wireless sensor networks and transferred to the remote server through a gateway so that the shelf life of the products can be predicted by the decision support system. Radio Frequency Identification (RFID) is also modeled for further considerations related to the identification issue of perishable products inside the cold chain.https://dergipark.org.tr/tr/download/article-file/796056internet of thingscold chain logisticswireless sensor networksshelf lifenesnelerin i̇nternetisoğuk zincir lojistiğikablosuz algılayıcı ağlarraf ömrü |
| spellingShingle | Celal Çeken Dini Abdurahman Simulation Modeling of An IoT Based Cold Chain Logistics Management System Sakarya University Journal of Computer and Information Sciences internet of things cold chain logistics wireless sensor networks shelf life nesnelerin i̇nterneti soğuk zincir lojistiği kablosuz algılayıcı ağlar raf ömrü |
| title | Simulation Modeling of An IoT Based Cold Chain Logistics Management System |
| title_full | Simulation Modeling of An IoT Based Cold Chain Logistics Management System |
| title_fullStr | Simulation Modeling of An IoT Based Cold Chain Logistics Management System |
| title_full_unstemmed | Simulation Modeling of An IoT Based Cold Chain Logistics Management System |
| title_short | Simulation Modeling of An IoT Based Cold Chain Logistics Management System |
| title_sort | simulation modeling of an iot based cold chain logistics management system |
| topic | internet of things cold chain logistics wireless sensor networks shelf life nesnelerin i̇nterneti soğuk zincir lojistiği kablosuz algılayıcı ağlar raf ömrü |
| url | https://dergipark.org.tr/tr/download/article-file/796056 |
| work_keys_str_mv | AT celalceken simulationmodelingofaniotbasedcoldchainlogisticsmanagementsystem AT diniabdurahman simulationmodelingofaniotbasedcoldchainlogisticsmanagementsystem |