The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems considering carbon dioxide emissions

被引:48
作者
Li, Hongqi [1 ]
Yuan, Junli [1 ]
Lv, Tan [1 ]
Chang, Xinyu [1 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Routing; Two-echelon linehaul-delivery system; Time-constrained; Carbon dioxide (CO2) emissions; Savings heuristic; Local search; ROAD FREIGHT TRANSPORTATION; UPPER-BOUNDS; URBAN AREAS; SEARCH; TRUCK; ALGORITHM; OPTIMIZATION; LOGISTICS; DESIGN; TRENDS;
D O I
10.1016/j.trd.2016.10.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Multi-echelon distribution strategy is primarily to alleviate the environmental (e.g., energy consumption and emissions) consequence of logistics operations. Differing from the long-term strategic problems (e.g., the two-echelon vehicle routing problem (2E-VRP), the two echelon location routing problem (2E-LRP) and the truck and trailer routing problem (TTRP)) that make location decisions in depots or satellites, the paper introduces a short-term tactical problem named the two-echelon time-constrained vehicle routing problem in linehaul-delivery systems (2E-TVRP) considering carbon dioxide (CO2) emissions. The linehaul level and the delivery level are linked through city distribution centers (CDCs). The 2E-TVRP, which takes CO2 emissions per ton-kilometer as the objective, has inter-CDC linehaul on the 1st level and delivery from CDCs to satellites on the 2nd level. The Clarke and Wright savings heuristic algorithm (CW) improved by a local search phase is put forward. The case study shows the applicability of the model to real-life problems. The results suggest that the vehicle scheduling provided by the 2E-TVRP is promising to reduce the CO2 emissions per ton-kilometer of the linehaul-delivery system. Adjusting the central depot location or developing the loaded-semitrailer demand among O-D pairs to eliminate empty-running of tractors will contribute to reduce the CO2 emission factor. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:231 / 245
页数:15
相关论文
共 56 条
[1]  
[Anonymous], TRANSP CROSSR TERM 2
[2]   An Exact Algorithm for the Two-Echelon Capacitated Vehicle Routing Problem [J].
Baldacci, Roberto ;
Mingozzi, Aristide ;
Roberti, Roberto ;
Clavo, Roberto Wolfler .
OPERATIONS RESEARCH, 2013, 61 (02) :298-314
[3]   A Simulated Annealing-based parallel multi-objective approach to vehicle routing problems with time windows [J].
Banos, Raul ;
Ortega, Julio ;
Gil, Consolacion ;
Fernandez, Antonio ;
de Toro, Francisco .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (05) :1696-1707
[4]   Routing design for less-than-truckload motor carriers using Ant Colony Optimization [J].
Barcos, L. ;
Rodriguez, V. ;
Alvarez, M. J. ;
Robuste, F. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (03) :367-383
[5]   The Pollution-Routing Problem [J].
Bektas, Tolga ;
Laporte, Gilbert .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2011, 45 (08) :1232-1250
[6]  
Belenguer J.M., 2015, TRANSP SCI
[7]  
Boccia M, 2010, LECT NOTES COMPUT SC, V6049, P288, DOI 10.1007/978-3-642-13193-6_25
[8]   A tabu search method for the truck and trailer routing problem [J].
Chao, IM .
COMPUTERS & OPERATIONS RESEARCH, 2002, 29 (01) :33-51
[9]   Local sourcing and fashion quick response system: The impacts of carbon footprint tax [J].
Choi, Tsan-Ming .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2013, 55 :43-54
[10]   Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model [J].
Cirovic, Goran ;
Pamucar, Dragan ;
Bozanic, Darko .
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (09) :4245-4258