2018
DOI: 10.1016/j.ejor.2017.05.010
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An inventory control model for modal split transport: A tailored base-surge approach

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Cited by 27 publications
(12 citation statements)
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“…The surprisingly high ratio of freight that can be shifted to rail transport obtained at point C is not a coincidence. Allon and Van Mieghem (2010a) and Dong et al (2018a) analyze the characteristics of the model and demonstrate, with approximate analytic expressions, that the optimal solution will be obtained when a large modal shift to rail transport is realized. This approach slightly increases the inventory costs compared with using only road transport; however, the transport cost savings offset the extra inventory costs, and thus it reduces the total logistics costs.…”
Section: Student Participation (20-25 Minutes Ofmentioning
confidence: 99%
“…The surprisingly high ratio of freight that can be shifted to rail transport obtained at point C is not a coincidence. Allon and Van Mieghem (2010a) and Dong et al (2018a) analyze the characteristics of the model and demonstrate, with approximate analytic expressions, that the optimal solution will be obtained when a large modal shift to rail transport is realized. This approach slightly increases the inventory costs compared with using only road transport; however, the transport cost savings offset the extra inventory costs, and thus it reduces the total logistics costs.…”
Section: Student Participation (20-25 Minutes Ofmentioning
confidence: 99%
“…Dong et al [18] suggest the Tailored Based Surge heuristic proposed by [19], in which a constant size order is placed with the slow transport mode and a base-stock policy is used to determine how much is shipped using the expedited road transport mode. The constant size order accommodates the lack of flexibility of intermodal transport.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The literature that studies trust transfer between channels mainly verifies the positive effect of offline channel consumer trust on the establishment of online trust from an empirical point of view, and the main determinants of online trust establishment. Similar to offline interaction, the trust goal of online transactions is also to try to present consumers with trustworthy objects [21]. To establish themselves as trustworthy objects, online organizations must strive to improve their reputation, performance, and interface design.…”
Section: Introductionmentioning
confidence: 99%