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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Peng Yun

Associate Professor
Supervisor of Master's Candidates


Academic Titles:
Gender:Female
Alma Mater:大连理工大学
Degree:Doctoral Degree
Status:On the job
School/Department:水利工程学院
Discipline:Port, Coastal and Offshore Engineering
Business Address:综合实验三号楼410
Contact Information:041184707174
E-Mail:
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Current position: Home >> Scientific Research >> Paper Publications

AN OPTIMIZATION APPROACH TO THE INTERMODAL TRANSPORTATION NETWORK IN FRUIT COLD CHAIN, CONSIDERING COST, QUALITY DEGRADATION AND CARBON DIOXIDE FOOTPRINT

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Indexed by:Journal Papers

First Author:Ma, Qianli

Correspondence Author:Ma, QL (reprint author), Dalian Univ Technol, Linggong Rd, Dalian 116024, Peoples R China.

Co-authors:Wang, Wenyuan,Peng, Yun,Song, Xiangqun

Date of Publication:2018-04-01

Journal:POLISH MARITIME RESEARCH

Included Journals:SCIE、EI

Volume:25

Issue:1

Page Number:61-69

ISSN No.:1233-2585

Key Words:intermodal transport network; quality model; refrigerated container; fruit cold chain; integer linear programming

Abstract:This model optimizes port hinterland intermodal refrigerated container flows, considering both cost and quality degradation, which is distinctive from the previous literature content in a way that it quantifies the influence of carbon dioxide (CO2) emission in different setting temperature on intermodal network planning. The primary contribution of this paper is that the model is beneficial not only to shippers and customers for the novel service design, but also offer, for policy-makers of the government, insights to develop inland transport infrastructures in consideration of intermodal transportation. The majority of models of multimodal system have been established with an objective of cost minimization for normal commodities. As the food quality is possible to be influenced by varying duration time required for the storage and transportation, and transportation accompanied with refrigeration producing more CO2 emission, this paper aims to address cost minimization and quality degradation minimization within the constraint of CO2 footprint. To achieve this aim, we put the quality degradation model in a mixed-integer linear programming model used for intermodal network planning for cold chain. The example of Dalian Port and Yingkou Port offer insight into trade-offs between transportation temperature and transport mode considering CO2 footprint. Furthermore, the model can offer a useful reference for other regions with the demand for different imported food, which requires an uninterrupted cold chain during the transportation and storage.