Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information
A production department and two distribution departments form a multimodal logistics supply network. The production department provides two ordering opportunities within one production cycle, and the real-time updates of demand information are required in the interval between two orders. Based on th...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2019/5480135 |
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| _version_ | 1850237868661800960 |
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| author | Ming-fei Chen Yan-qiu Liu Yang Song Qi Sun Chuang-chuang Cong |
| author_facet | Ming-fei Chen Yan-qiu Liu Yang Song Qi Sun Chuang-chuang Cong |
| author_sort | Ming-fei Chen |
| collection | DOAJ |
| description | A production department and two distribution departments form a multimodal logistics supply network. The production department provides two ordering opportunities within one production cycle, and the real-time updates of demand information are required in the interval between two orders. Based on this, the paper studies the security inventory optimization problem of multimodal transport networks. On the basis of portraying the real-time information update process, the multimodal network optimization model without considering safety stock and the multimodal network optimization model considering safety stock are constructed, respectively, and the transshipment price and demand information of the intermodal network are updated. The parameters are analyzed for sensitivity. The analysis of examples shows that, on the one hand, with the update of demand information, the distribution department adopts the multimodal transport model with safety stock to improve the profit of the distribution department and the supply network. On the other hand, the production sector can meet market demand with a lower production scale, while the distribution department can effectively respond to stochastic demand through a multimodal model with safety stock. |
| format | Article |
| id | doaj-art-1d8e02a42e9d477587445c87febae9c5 |
| institution | OA Journals |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-1d8e02a42e9d477587445c87febae9c52025-08-20T02:01:39ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/54801355480135Multimodal Transport Network Optimization Considering Safety Stock under Real-Time InformationMing-fei Chen0Yan-qiu Liu1Yang Song2Qi Sun3Chuang-chuang Cong4School of Management, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Management, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Management, Shenyang University of Technology, Shenyang 110870, ChinaAntai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, ChinaSchool of Foreign Studies, Shenyang University of Technology, Shenyang 110870, ChinaA production department and two distribution departments form a multimodal logistics supply network. The production department provides two ordering opportunities within one production cycle, and the real-time updates of demand information are required in the interval between two orders. Based on this, the paper studies the security inventory optimization problem of multimodal transport networks. On the basis of portraying the real-time information update process, the multimodal network optimization model without considering safety stock and the multimodal network optimization model considering safety stock are constructed, respectively, and the transshipment price and demand information of the intermodal network are updated. The parameters are analyzed for sensitivity. The analysis of examples shows that, on the one hand, with the update of demand information, the distribution department adopts the multimodal transport model with safety stock to improve the profit of the distribution department and the supply network. On the other hand, the production sector can meet market demand with a lower production scale, while the distribution department can effectively respond to stochastic demand through a multimodal model with safety stock.http://dx.doi.org/10.1155/2019/5480135 |
| spellingShingle | Ming-fei Chen Yan-qiu Liu Yang Song Qi Sun Chuang-chuang Cong Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information Discrete Dynamics in Nature and Society |
| title | Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information |
| title_full | Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information |
| title_fullStr | Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information |
| title_full_unstemmed | Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information |
| title_short | Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information |
| title_sort | multimodal transport network optimization considering safety stock under real time information |
| url | http://dx.doi.org/10.1155/2019/5480135 |
| work_keys_str_mv | AT mingfeichen multimodaltransportnetworkoptimizationconsideringsafetystockunderrealtimeinformation AT yanqiuliu multimodaltransportnetworkoptimizationconsideringsafetystockunderrealtimeinformation AT yangsong multimodaltransportnetworkoptimizationconsideringsafetystockunderrealtimeinformation AT qisun multimodaltransportnetworkoptimizationconsideringsafetystockunderrealtimeinformation AT chuangchuangcong multimodaltransportnetworkoptimizationconsideringsafetystockunderrealtimeinformation |