A multimodal logistics service network design with time windows and environmental concerns

The design of a multimodal logistics service network with customer service time windows and environmental costs is an important and challenging issue. Accordingly, this work established a model to minimize the total cost of multimodal logistics service network design with time windows and environmental concerns. The proposed model incorporates CO2 emission costs to determine the optimal transportation mode combinations and investment selections for transfer nodes, which consider transport cost, transport time, carbon emission, and logistics service time window constraints. Furthermore, genetic and heuristic algorithms are proposed to set up the abovementioned optimal model. A numerical example is provided to validate the model and the abovementioned two algorithms. Then, comparisons of the performance of the two algorithms are provided. Finally, this work investigates the effects of the logistics service time windows and CO2 emission taxes on the optimal solution. Several important management insights are obtained.

[1]  Tolga Bektaş,et al.  Sustainability SI: Multimode Multicommodity Network Design Model for Intermodal Freight Transportation with Transfer and Emission Costs , 2016 .

[2]  Christine L. Mumford,et al.  Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions , 2011 .

[3]  Xiaolei Ma,et al.  A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization , 2014, Expert Syst. Appl..

[4]  Krishnendu Shaw,et al.  Low carbon chance constrained supply chain network design problem: a Benders decomposition based approach , 2016, Comput. Ind. Eng..

[5]  Stefan Bock,et al.  Production , Manufacturing and Logistics Real-time control of freight forwarder transportation networks by integrating multimodal transport chains , 2009 .

[6]  W. H. Ip,et al.  Design and development of a hybrid artificial bee colony algorithm for the environmental vehicle routing problem , 2014 .

[7]  Xiaoxia Zhu,et al.  Eco-efficient based logistics network design in hybrid manufacturing/ remanufacturing system in low-carbon economy , 2013 .

[8]  Tsung-Sheng Chang,et al.  Best routes selection in international intermodal networks , 2008, Comput. Oper. Res..

[9]  Gilbert Laporte,et al.  Modeling and solving a multimodal transportation problem with flexible-time and scheduled services , 2011, Networks.

[10]  Babette van Antwerpen-de Fluiter,et al.  Operational planning of a large-scale multi-modal transportation system , 2004, Eur. J. Oper. Res..

[11]  Jan Fabian Ehmke,et al.  Data-driven approaches for emissions-minimized paths in urban areas , 2016, Comput. Oper. Res..

[12]  Håkan Aronsson,et al.  The environmental impact of changing logistics structures , 2006 .

[13]  Ioannis Mallidis,et al.  Operations Research for green logistics - An overview of aspects, issues, contributions and challenges , 2011, Eur. J. Oper. Res..

[14]  Yueyue Fan,et al.  Multistage Optimization of the Supply Chains of Biofuels , 2010 .

[15]  Yong Liu,et al.  Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization-genetic algorithm , 2015, Expert Syst. Appl..

[16]  Dezhi Zhang,et al.  Optimal location and size of logistics parks in a regional logistics network with economies of scale and CO2 emission taxes , 2015 .

[17]  Reza Zanjirani Farahani,et al.  Network design approach for hub ports-shipping companies competition and cooperation , 2013 .

[18]  Jianhua Yang,et al.  Low-carbon city logistics distribution network design with resource deployment , 2016 .

[19]  Kuldip Singh Sangwan,et al.  Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors , 2016, Annals of Operations Research.

[20]  Dezhi Zhang,et al.  Joint optimization of logistics infrastructure investments and subsidies in a regional logistics network with CO2 emission reduction targets , 2016 .

[21]  Sibel A. Alumur,et al.  Multimodal hub location and hub network design , 2012 .

[22]  A. McKinnon,et al.  Forecasting the carbon footprint of road freight transport in 2020 , 2010 .

[23]  Qie He,et al.  A disjunctive convex programming approach to the pollution-routing problem , 2016 .

[24]  Tao Lu,et al.  Eco-Efficient Based Logistics Network Design in Hybrid Manufacturing/Remanufacturing System Under Low-Carbon Restriction , 2013 .

[25]  Samir Elhedhli,et al.  Green supply chain network design to reduce carbon emissions , 2012 .

[26]  Giacomo Liotta,et al.  Optimisation of freight flows and sourcing in sustainable production and transportation networks , 2015 .

[27]  Timon C. Du,et al.  An evaluation of freight consolidation policies in global third party logistics , 2003 .

[28]  Ali Haghani,et al.  Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations , 1996 .

[29]  Rafay Ishfaq,et al.  Production , Manufacturing and Logistics Hub location – allocation in intermodal logistic networks , 2010 .

[30]  Nihan Akyelken.  Green Logistics: Improving the Environmental Sustainability of Logistics , 2011 .

[31]  Christine L. Mumford,et al.  A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling , 2014 .

[32]  Yong Wang,et al.  Cooperation and profit allocation in two-echelon logistics joint distribution network optimization , 2017, Appl. Soft Comput..

[33]  Ying Wang,et al.  Uncertain multiobjective traveling salesman problem , 2015, Eur. J. Oper. Res..

[34]  Dimitris C. Paraskevopoulos,et al.  The congested multicommodity network design problem , 2016 .

[35]  Cynthia Barnhart,et al.  Multimodal express shipment service design: Models and algorithms , 1997 .

[36]  Qichao He,et al.  Low-carbon Closed-loop Logistics Network Design based on Interval Number Multi-attribute Decision and Queuing Theory , 2014 .

[37]  Beatriz Sousa Santos,et al.  A simple and effective evolutionary algorithm for the capacitated location-routing problem , 2016, Comput. Oper. Res..

[38]  Xiaofan Lai,et al.  A multi-objective optimization for green supply chain network design , 2011, Decis. Support Syst..

[39]  Wpm Wim Nuijten,et al.  Multimodal freight transportation planning: A literature review , 2014, Eur. J. Oper. Res..

[40]  Marc Goetschalckx,et al.  A stochastic programming approach for supply chain network design under uncertainty , 2004, Eur. J. Oper. Res..

[41]  M. Punniyamoorthy,et al.  Optimization of continuous-time production planning using hybrid genetic algorithms-simulated annealing , 2005 .

[42]  Reza Tavakkoli-Moghaddam,et al.  Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty , 2017, Eur. J. Oper. Res..