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Intelligent E-commerce logistics platform using hybrid agent based approach

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  • Barenji, Ali Vatankhah
  • Wang, W.M.
  • Li, Zhi
  • Guerra-Zubiaga, David A.

Abstract

This paper proposes a hybrid agent-based approach for the scheduling and synchronization of e-commerce logistics parks (EcLP). This is accomplished by integrating intelligent distribution centers within the e-commerce environment. The proposed platform has been developed based on an agent technology, which not only serves for decentralization and synchronization purposes but also it has been optimized for the transportation and logistics of the overall system. Moreover, mobile agent-based communication mechanisms between the hardware agents and the software agents were developed, and the proposed hybrid agent-based platform was implemented and tested based on a case study. Following this, the results were compared to a conventional system based on four main indicators.

Suggested Citation

  • Barenji, Ali Vatankhah & Wang, W.M. & Li, Zhi & Guerra-Zubiaga, David A., 2019. "Intelligent E-commerce logistics platform using hybrid agent based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 15-31.
    • Handle: RePEc:eee:transe:v:126:y:2019:i:c:p:15-31
    DOI: 10.1016/j.tre.2019.04.002
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    as
    1. Roy, D. & de Koster, M.B.M., 2014. "Modeling and Design of Container Terminal Operations," ERIM Report Series Research in Management ERS-2014-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Liu, Xiaotong & Zhang, Kai & Chen, Bokui & Zhou, Jun & Miao, Lixin, 2018. "Analysis of logistics service supply chain for the One Belt and One Road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 23-39.
    3. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
    4. Azadian, Farshid & Murat, Alper E. & Chinnam, Ratna Babu, 2012. "Dynamic routing of time-sensitive air cargo using real-time information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 355-372.
    5. Hou, Yunzhang & Wang, Xiaoling & Wu, Yenchun Jim & He, Peixu, 2018. "How does the trust affect the topology of supply chain network and its resilience? An agent-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 229-241.
    6. Wang, Haijun & Tan, Jie & Guo, Shuojia & Wang, Shenhao, 2018. "High-value transportation disruption risk management: Shipment insurance with declared value," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 293-310.
    7. Mosahar Tarimoradi & M. H. Fazel Zarandi & Hosain Zaman & I. B. Turksan, 2017. "Evolutionary fuzzy intelligent system for multi-objective supply chain network designs: an agent-based optimization state of the art," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1551-1579, October.
    8. Trkman, Peter & McCormack, Kevin, 2009. "Supply chain risk in turbulent environments--A conceptual model for managing supply chain network risk," International Journal of Production Economics, Elsevier, vol. 119(2), pages 247-258, June.
    9. Hong, Zhaofu & Wang, Hao & Yu, Yugang, 2018. "Green product pricing with non-green product reference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 1-15.
    10. Mofidi, Seyed Shahab & Pazour, Jennifer A. & Roy, Debjit, 2018. "Proactive vs. reactive order-fulfillment resource allocation for sea-based logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 66-84.
    11. An Pan & Tsan-Ming Choi, 2016. "An agent-based negotiation model on price and delivery date in a fashion supply chain," Annals of Operations Research, Springer, vol. 242(2), pages 529-557, July.
    12. Xiaopu Shang & Runtong Zhang & Ying Chen, 2012. "Internet of Things (IoT) Service Architecture and its Application in E-Commerce," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 10(3), pages 44-55, July.
    13. Ghavamifar, Ali & Makui, Ahmad & Taleizadeh, Ata Allah, 2018. "Designing a resilient competitive supply chain network under disruption risks: A real-world application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 87-109.
    14. Alawneh, Fawzat & Zhang, Guoqing, 2018. "Dual-channel warehouse and inventory management with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 84-106.
    15. Van der Heide, G. & Buijs, P. & Roodbergen, K.J. & Vis, I.F.A., 2018. "Dynamic shipments of inventories in shared warehouse and transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 240-257.
    16. Congcong Yang & Alfred Taudes & Aimin Deng & Li Chen & Feng Tian, 2015. "Research on Logistics Parks: Literature Review and Outlook," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 1277-1285, Springer.
    17. Ardjmand, Ehsan & Sanei Bajgiran, Omid & Rahman, Shakil & Weckman, Gary R. & Young, William A., 2018. "A multi-objective model for order cartonization and fulfillment center assignment in the e-tail/retail industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 16-34.
    18. Torabi, S.A. & Hassini, E. & Jeihoonian, M., 2015. "Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 128-144.
    19. Efraim Turban & Jon Outland & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2018. "Order Fulfillment Along the Supply Chain in e-Commerce," Springer Texts in Business and Economics, in: Electronic Commerce 2018, edition 9, chapter 13, pages 501-534, Springer.
    20. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
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    Cited by:

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    18. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Zong, Tianjiao & Song, Malin, 2020. "The effects of a Smart Logistics policy on carbon emissions in China: A difference-in-differences analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    19. Agnieszka Deja & Tygran Dzhuguryan & Lyudmyla Dzhuguryan & Oleg Konradi & Robert Ulewicz, 2021. "Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations," Energies, MDPI, vol. 14(24), pages 1-21, December.
    20. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
    21. Yingyan Zhao & Yihong Zhou & Wu Deng, 2020. "Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    22. Wen, Xin & Siqin, Tana, 2020. "How do product quality uncertainties affect the sharing economy platforms with risk considerations? A mean-variance analysis," International Journal of Production Economics, Elsevier, vol. 224(C).
    23. Liu, Weihua & Yan, Xiaoyu & Li, Xiang & Wei, Wanying, 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
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