کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
292929 511089 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Joint slot allocation and dynamic pricing of container sea–rail multimodal transportation
ترجمه فارسی عنوان
تخصیص حافظه مشترک و قیمت گذاری پویا از حمل و نقل ریلی ـ دریایی مولتی مودال کانتینر
کلمات کلیدی
حمل و نقل کانتینر؛ حمل و نقل ریلی ـ دریایی مولتی مودال؛ قیمت گذاری پویا؛ تخصیص حافظه. مدیریت درآمد
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی

The container sea–rail multimodal transport system faces complex challenges with demand uncertainties for joint slot allocation and dynamic pricing. The challenge is formulated as a two-stage optimal model based on revenue management (RM) as actual slots sale of multi-node container sea–rail multimodal transport usually includes contract sale to large shippers and free sale to scattered shippers. First stage in the model utilizes an origin-destination control approach, formulated as a stochastic integer programming equation, to settle long-term slot allocation in the contract market and empty container allocation. Second stage in the model is formulated as a stochastic nonlinear programming equation to solve a multiproduct joint dynamic pricing and inventory control problem for price settling and slot allocation in each period of free market. Considering the random nature of demand, the methods of chance constrained programming and robust optimization are utilized to transform stochastic models into deterministic models. A numerical experiment is presented to verify the availability of models and solving methods. Results of considering uncertain/certain demand are compared, which show that the two-stage optimal strategy integrating slot allocation with dynamic pricing considering random demand is revealed to increase the revenue for multimodal transport operators (MTO) while concurrently satisfying shippers' demand. Research resulting from this paper will contribute to the theory and practice of container sea–rail multimodal transport revenue management and provide a scientific decision-making tool for MTO.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Traffic and Transportation Engineering (English Edition) - Volume 2, Issue 3, June 2015, Pages 198–208
نویسندگان
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