首页 » 文章 » 文章详细信息
Discrete Dynamics in Nature and Society Volume 2019 ,2019-07-24
Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information
Research Article
Ming-fei Chen 1 Yan-qiu Liu 1 Yang Song 1 , 2 Qi Sun 3 Chuang-chuang Cong 4
Show affiliations
DOI:10.1155/2019/5480135
Received 2018-12-13, accepted for publication 2019-07-07, Published 2019-07-07
PDF
摘要

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.

授权许可

Copyright © 2019 Ming-fei Chen et al. 2019
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

通讯作者

Ming-fei Chen.School of Management, Shenyang University of Technology, Shenyang 110870, China, sut.edu.cn.cmfsy2014@163.com

推荐引用方式

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 ,Vol.2019(2019)

您觉得这篇文章对您有帮助吗?
分享和收藏
0

是否收藏?

参考文献
[1] X. Li, L. Sun, J. Gao. (2013). Coordinating preventive lateral transshipment between two locations. Computers & Industrial Engineering.66(4):933-943. DOI: 10.1016/j.ijpe.2009.04.020.
[2] H. L. Lee. (1987). A multi-echelon inventory model for repairable items with emergency lateral transshipments. Management Science.33(10):1302-1316. DOI: 10.1016/j.ijpe.2009.04.020.
[3] A. Magnier, N. Kalaitzandonakes, D. J. Miller. (2010). Product life cycles and innovation in the US seed corn industry. International Food and Agribusiness Management Review.13(3):17-36. DOI: 10.1016/j.ijpe.2009.04.020.
[4] S. Axsäter. (2003). Evaluation of unidirectional lateral transshipments and substitutions in inventory systems. European Journal of Operational Research.149(2):438-447. DOI: 10.1016/j.ijpe.2009.04.020.
[5] V. Jayaraman, H. Pirkul. (2001). Planning and coordination of production and distribution facilities for multiple commodities. European Journal of Operational Research.133(2):394-408. DOI: 10.1016/j.ijpe.2009.04.020.
[6] M. Li, X. Wang, Q. Sun, Z. Yang. et al.(2017). Research on allocation strategies of multimodal transportation for emergency resources based on robust optimization. Journal of the China Railway Society.39(7):1-9. DOI: 10.1016/j.ijpe.2009.04.020.
[7] C. Mitchell, D. Bauknecht, P. Connor. (2006). Effectiveness through risk reduction: a comparison of the renewable obligation in England and Wales and the feed-in system in Germany. Energy Policy.34(3):297-305. DOI: 10.1016/j.ijpe.2009.04.020.
[8] J. Davis. (2006). Setting up the role of emergency surgical nurse practitioner. Journal of Perioperative Practice.16(3):144-147. DOI: 10.1016/j.ijpe.2009.04.020.
[9] European Commission. (2009). Directorate-General for Energy. A sustainable future for transport: towards an integrated, technology-led and user-friendly system. . DOI: 10.1016/j.ijpe.2009.04.020.
[10] B. E. Vaughn, G. Coppola, M. Verissimo, L. Monteiro. et al.(2007). The quality of maternal secure-base scripts predicts children's secure-base behavior at home in three sociocultural groups. International Journal of Behavioral Development.31(1):65-76. DOI: 10.1016/j.ijpe.2009.04.020.
[11] I. Harris, Y. Wang, H. Wang. (2015). ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics.159:88-103. DOI: 10.1016/j.ijpe.2009.04.020.
[12] B. Lv, B. Yang, X. Zhu, J. Li. et al.(2019). Operational optimization of transit consolidation in multimodal transport. Computers & Industrial Engineering.129:454-464. DOI: 10.1016/j.ijpe.2009.04.020.
[13] K. H. Todd. (2017). A review of current and emerging approaches to pain management in the emergency department. Pain & Therapy.6(2):193-202. DOI: 10.1016/j.ijpe.2009.04.020.
[14] D. N. D. C. Perio. (2013). Periodontal bone regeneration and the Er,Cr:YSGG laser: a case report. The Open Dentistry Journal.7(1):16-19. DOI: 10.1016/j.ijpe.2009.04.020.
[15] M. W. Asad, R. Dimitrakopoulos. (2013). Implementing a parametric maximum flow algorithm for optimal open pit mine design under uncertain supply and demand. Journal of the Operational Research Society.64(2):185-197. DOI: 10.1016/j.ijpe.2009.04.020.
[16] J. Flodén, F. Bärthel, E. Sorkina. (2017). Transport buyers choice of transport service – A literature review of empirical results. Research in Transportation Business and Management.23:35-45. DOI: 10.1016/j.ijpe.2009.04.020.
[17] Y. B. Park. (2005). An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research.43(6):1205-1224. DOI: 10.1016/j.ijpe.2009.04.020.
[18] J. K. Jolayemi, F. O. Olorunniwo. (2004). A deterministic model for planning production quantities in a multi-plant, multi-warehouse environment with extensible capacities. International Journal of Production Economics.87(2):99-113. DOI: 10.1016/j.ijpe.2009.04.020.
[19] Z. Liang, Y. He, T. Wu, C. Zhang. et al.(2015). An informative column generation and decomposition method for a production planning and facility location problem. International Journal of Production Economics.170:88-96. DOI: 10.1016/j.ijpe.2009.04.020.
[20] J. Xu, Q. Bai, L. Xu, T. Hu. et al.(2018). Effects of emission reduction and partial demand information on operational decisions of a newsvendor problem. Journal of Cleaner Production.188:825-839. DOI: 10.1016/j.ijpe.2009.04.020.
[21] A. Pałaszewska-Tkacz, S. Czerczak, K. Konieczko. (2017). Chemical incidents resulted in hazardous substances releases in the context of human health hazards. International Journal of Occupational Medicine and Environmental Health.30(1):95-110. DOI: 10.1016/j.ijpe.2009.04.020.
[22] S. Afshin Mansouri, D. Gallear, M. H. Askariazad. (2012). Decision support for build-to-order supply chain management through multiobjective optimization. International Journal of Production Economics.135(1):24-36. DOI: 10.1016/j.ijpe.2009.04.020.
[23] D. A. Serel. (2009). Optimal ordering and pricing in a quick response system. International Journal of Production Economics.121(2):700-714. DOI: 10.1016/j.ijpe.2009.04.020.
[24] F. Biondi, D. L. Strayer, R. Rossi, M. Gastaldi. et al.(2017). Advanced driver assistance systems: using multimodal redundant warnings to enhance road safety. Applied Ergonomics.58:238-244. DOI: 10.1016/j.ijpe.2009.04.020.
[25] D. J. Forkenbrock. (2001). Comparison of external costs of rail and truck freight transportation. Transportation Research Part A: Policy and Practice.35(4):321-337. DOI: 10.1016/j.ijpe.2009.04.020.
[26] S. D. Ekşioǧlu, H. Edwin Romeijn, P. M. Pardalos. (2006). Cross-facility management of production and transportation planning problem. Computers & Operations Research.33(11):3231-3251. DOI: 10.1016/j.ijpe.2009.04.020.
[27] J. J. Winebrake, E. H. Green. (2017). Environmental policy, decision making, and rebound effects in the U.S. trucking sector. Research in Transportation Business and Management.23:54-63. DOI: 10.1016/j.ijpe.2009.04.020.
[28] T. Bektaş, J. F. Ehmke, H. N. Psaraftis, J. Puchinger. et al.(2019). The role of operational research in green freight transportation. European Journal of Operational Research.274(3):807-823. DOI: 10.1016/j.ijpe.2009.04.020.
[29] T. J. Choi, D. Li, H. Yan. (2006). Quick response policy with Bayesian information updates. European Journal of Operational Research.170(3):788-808. DOI: 10.1016/j.ijpe.2009.04.020.
[30] F. L. Luan, H. Zhang, D. E. Schaubel, C. D. Miles. et al.(2008). Comparative risk of impaired glucose metabolism associated with cyclosporine versus tacrolimus in the late posttransplant period. American Journal of Transplantation.8(9):1871-1877. DOI: 10.1016/j.ijpe.2009.04.020.
[31] S. Gu, H. Guo, Y. Su. (2018). Research on supply chain coordination and profit allocation based on altruistic principal under bilateral asymmetric information. Discrete Dynamics in Nature and Society.2018-15. DOI: 10.1016/j.ijpe.2009.04.020.
[32] L. Zhang, L. Guan, K. Zhou. (2014). Stochastic machine scheduling to minimize waiting time related objectives with emergency jobs. Discrete Dynamics in Nature and Society.5(11):1-5. DOI: 10.1016/j.ijpe.2009.04.020.
[33] M. Darvish, H. Larrain, L. C. Coelho. (2016). A dynamic multi-plant lot-sizing and distribution problem. International Journal of Production Research.54(22):6707-6717. DOI: 10.1016/j.ijpe.2009.04.020.
[34] O. Al Enezy, E. van Hassel, C. Sys, T. Vanelslander. et al.(2017). Developing a cost calculation model for inland navigation. Research in Transportation Business and Management.23:64-74. DOI: 10.1016/j.ijpe.2009.04.020.
[35] T. T. Biss, L. R. Brandão, W. H. A. Kahr. (2010). Clinical probability score and D-dimer estimation lack utility in the diagnosis of childhood pulmonary embolism. Journal of Thrombosis & Haemostasis.7(10):1633-1638. DOI: 10.1016/j.ijpe.2009.04.020.
[36] A. Akbalik, B. Penz. (2011). Comparison of just-in-time and time window delivery policies for a single-item capacitated lot sizing problem. International Journal of Production Research.49(9):2567-2585. DOI: 10.1016/j.ijpe.2009.04.020.
[37] D. Meers, C. Macharis, T. Vermeiren, T. van Lier. et al.(2017). Modal choice preferences in short-distance hinterland container transport. Research in Transportation Business and Management.23:46-53. DOI: 10.1016/j.ijpe.2009.04.020.
[38] R. E. De Matta, V. N. Hsu, C.-L. Li. (2015). Coordinated production and delivery for an exporter. Institute of Industrial Engineers (IIE). IIE Transactions.47(4):373-391. DOI: 10.1016/j.ijpe.2009.04.020.
[39] C.-F. Chien, Y.-J. Chen, J.-T. Peng. (2010). Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle. International Journal of Production Economics.128(2):496-509. DOI: 10.1016/j.ijpe.2009.04.020.
[40] G. R. Dowling. (1996). Product life cycle traps: strategic planning and shortening PLCs. Journal of Brand Management.4(2):119-132. DOI: 10.1016/j.ijpe.2009.04.020.
文献评价指标
浏览 9次
下载全文 0次
评分次数 0次
用户评分 0.0分
分享 0次