REVIEW ARTICLE

Integrating operations research into green logistics: A review

  • Yiwei WU 1 ,
  • Shuaian WANG 1 ,
  • Lu ZHEN , 2 ,
  • Gilbert LAPORTE 3
Expand
  • 1. Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Hong Kong 999077, China
  • 2. School of Management, Shanghai University, Shanghai 200444, China
  • 3. Department of Decision Sciences, HEC Montréal, Montréal H3T 2A7, Canada; School of Management, University of Bath, Bath BA2 7AY, United Kingdom
lzhen@shu.edu.cn

Received date: 27 Feb 2023

Revised date: 06 Jun 2023

Accepted date: 19 Jun 2023

Copyright

2023 Higher Education Press

Abstract

Logistical activities have a significant global environmental impact, necessitating the adoption of green logistics practices to mitigate environmental effects. The COVID-19 pandemic has further emphasized the urgency to address the environmental crisis. Operations research provides a means to balance environmental concerns and costs, thereby enhancing the management of logistical activities. This paper presents a comprehensive review of studies integrating operations research into green logistics. A systematic search was conducted in the Web of Science Core Collection database, covering papers published until June 3, 2023. Six keywords (green logistics OR sustainable logistics OR cleaner logistics OR green transportation OR sustainable transportation OR cleaner transportation) were used to identify relevant papers. The reviewed studies were categorized into five main research directions: Green waste logistics, the impact of costs on green logistics, the green routing problem, green transport network design, and emerging challenges in green logistics. The review concludes by outlining suggestions for further research that combines green logistics and operations research, with particular emphasis on investigating the long-term effects of the pandemic on this field.

Cite this article

Yiwei WU , Shuaian WANG , Lu ZHEN , Gilbert LAPORTE . Integrating operations research into green logistics: A review[J]. Frontiers of Engineering Management, 2023 , 10(3) : 517 -533 . DOI: 10.1007/s42524-023-0265-1

Competing Interests

The authors declare that they have no competing interests.
1
Abouee-Mehrizi, H Baron, O Berman, O Chen, D (2021). Adoption of electric vehicles in car sharing market. Production and Operations Management, 30( 1): 190–209

DOI

2
Ahani, P Arantes, A Melo, S (2016). A portfolio approach for optimal fleet replacement toward sustainable urban freight transportation. Transportation Research Part D: Transport and Environment, 48: 357–368

DOI

3
Alkhayyal, B (2019). Corporate social responsibility practices in the US: Using reverse supply chain network design and optimization considering carbon cost. Sustainability, 11( 7): 2097

DOI

4
Asefi, H Shahparvari, S Chhetri, P Lim, S (2019). Variable fleet size and mix VRP with fleet heterogeneity in integrated solid waste management. Journal of Cleaner Production, 230: 1376–1395

DOI

5
Ata, B Lee, D Sönmez, E (2019). Dynamic volunteer staffing in multicrop gleaning operations. Operations Research, 67( 2): 295–314

DOI

6
Ayvaz, B Bolat, B Aydın, N (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, Conservation and Recycling, 104: 391–404

DOI

7
Azadeh, K de Koster, R Roy, D (2019). Robotized and automated warehouse systems: Review and recent developments. Transportation Science, 53( 4): 917–945

DOI

8
Babaee, Tirkolaee E Aydın, N S (2021). A sustainable medical waste collection and transportation model for pandemics. Waste Management & Research, 39( 1_suppl): 34–44

DOI

9
Bagloee, S A Sarvi, M Wallace, M (2016). Bicycle lane priority: Promoting bicycle as a green mode even in congested urban area. Transportation Research Part A: Policy and Practice, 87: 102–121

DOI

10
BankerS (2013). Amazon and drones. Here is why it will work. Forbes

11
Baykasoğlu, A Subulan, K (2019). A fuzzy-stochastic optimization model for the intermodal fleet management problem of an international transportation company. Transportation Planning and Technology, 42( 8): 777–824

DOI

12
Behnke, M Kirschstein, T (2017). The impact of path selection on GHG emissions in city logistics. Transportation Research Part E: Logistics and Transportation Review, 106: 320–336

DOI

13
Behnke, M Kirschstein, T Bierwirth, C (2021). A column generation approach for an emission-oriented vehicle routing problem on a multigraph. European Journal of Operational Research, 288( 3): 794–809

DOI

14
Bektaş, T Laporte, G (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45( 8): 1232–1250

DOI

15
Bi, K Yang, M Zhou, X Zahid, L Zhu, Y Sun, Z (2020). Reducing carbon emissions from collaborative distribution: A case study of urban express in China. Environmental Science and Pollution Research International, 27( 14): 16215–16230

DOI

16
Bing, X de Keizer, M Bloemhof-Ruwaard, J M van der Vorst, J G (2014). Vehicle routing for the eco-efficient collection of household plastic waste. Waste Management, 34( 4): 719–729

DOI

17
Bing, X Groot, J J Bloemhof-Ruwaard, J M van der Vorst, J G (2013). Multimodal network design for sustainable household plastic recycling. International Journal of Physical Distribution & Logistics Management, 43( 5/6): 452–477

DOI

18
Biuki, M Kazemi, A Alinezhad, A (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260: 120842

DOI

19
Boostani, A Jolai, F Bozorgi-Amiri, A (2021). Designing a sustainable humanitarian relief logistics model in pre- and postdisaster management. International Journal of Sustainable Transportation, 15( 8): 604–620

DOI

20
Boronoos, M Mousazadeh, M Torabi, S A (2021). A robust mixed flexible-possibilistic programming approach for multi-objective closed-loop green supply chain network design. Environment, Development and Sustainability, 23( 3): 3368–3395

DOI

21
Bravo, M Rojas, L P Parada, V (2019). An evolutionary algorithm for the multi-objective pick-up and delivery pollution-routing problem. International Transactions in Operational Research, 26( 1): 302–317

DOI

22
BrundtlandCommission (BC) (1987). Our Common Future. Oxford: Oxford University Press

23
Burman, M Gershwin, S B Suyematsu, C (1998). Hewlett-Packard uses operations research to improve the design of a printer production line. Interfaces, 28( 1): 24–36

DOI

24
Chan, F T Wang, Z X Goswami, A Singhania, A Tiwari, M K (2020). Multi-objective particle swarm optimisation based integrated production inventory routing planning for efficient perishable food logistics operations. International Journal of Production Research, 58( 17): 5155–5174

DOI

25
Cheaitou, A Hamdan, S Larbi, R Alsyouf, I (2021). Sustainable traveling purchaser problem with speed optimization. International Journal of Sustainable Transportation, 15( 8): 621–640

DOI

26
Chen, K Xin, X Niu, X Zeng, Q (2020). Coastal transportation system joint taxation-subsidy emission reduction policy optimization problem. Journal of Cleaner Production, 247: 119096

DOI

27
Chen, W Liu, X Chen, D Pan, X (2019). Setting headways on a bus route under uncertain conditions. Sustainability, 11( 10): 2823

DOI

28
Chen, W Mes, M Schutten, M (2018). Multi-hop driver-parcel matching problem with time windows. Flexible Services and Manufacturing Journal, 30( 3): 517–553

DOI

29
Cheng, K Zou, Y Xin, X Gong, S (2020). Optimal lane expansion model for a battery electric vehicle transportation network considering range anxiety and demand uncertainty. Journal of Cleaner Production, 276: 124198

DOI

30
Cinar, D Gakis, K Pardalos, P M (2015). Reduction of CO2 emissions in cumulative multi-trip vehicle routing problems with limited duration. Environmental Modeling and Assessment, 20( 4): 273–284

DOI

31
Cire, A A van Hoeve, W J (2013). Multivalued decision diagrams for sequencing problems. Operations Research, 61( 6): 1411–1428

DOI

32
Conceição, L Homem, de Almeida Correia G Tavares, J P (2020). The reversible lane network design problem (RL-NDP) for smart cities with automated traffic. Sustainability, 12( 3): 1226

DOI

33
Custodio, L Machado, R (2020). Flexible automated warehouse: A literature review and an innovative framework. International Journal of Advanced Manufacturing Technology, 106( 1–2): 533–558

DOI

34
Dabia, S Demir, E van Woensel, T (2017). An exact approach for a variant of the pollution-routing problem. Transportation Science, 51( 2): 607–628

DOI

35
Dantzig, G B Ramser, J H (1959). The truck dispatching problem. Management Science, 6( 1): 80–91

DOI

36
de Koster, R Le-Duc, T Roodbergen, K J (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182( 2): 481–501

DOI

37
Dehghanian, F Mansour, S (2009). Designing sustainable recovery network of end-of-life products using genetic algorithm. Resources, Conservation and Recycling, 53( 10): 559–570

DOI

38
Dekker, R Bloemhof, J M Mallidis, I (2012). Operations research for green logistics: An overview of aspects, issues, contributions and challenges. European Journal of Operational Research, 219( 3): 671–679

DOI

39
Demir, E Burgholzer, W Hrušovský, M Arıkan, E Jammernegg, W van, Woensel T (2016). A green intermodal service network design problem with travel time uncertainty. Transportation Research Part B: Methodological, 93: 789–807

DOI

40
Demir, E Hrušovský, M Jammernegg, W van, Woensel T (2019). Green intermodal freight transportation: Bi-objective modelling and analysis. International Journal of Production Research, 57( 19): 6162–6180

DOI

41
Dong, B Christiansen, M Fagerholt, K Chandra, S (2020). Design of a sustainable maritime multi-modal distribution network: Case study from automotive logistics. Transportation Research Part E: Logistics and Transportation Review, 143: 102086

DOI

42
Du, G Sun, C Weng, J (2016). Liner shipping fleet deployment with sustainable collaborative transportation. Sustainability, 8( 2): 165

DOI

43
Duque, J Barbosa-Póvoa, A P F Novais, A Q (2010). Design and planning of sustainable industrial networks: Application to a recovery network of residual products. Industrial & Engineering Chemistry Research, 49( 9): 4230–4248

DOI

44
Duthie, J Unnikrishnan, A (2014). Optimization framework for bicycle network design. Journal of Transportation Engineering, 140( 7): 04014028

DOI

45
Dutta, P Mishra, A Khandelwal, S Katthawala, I (2020). A multiobjective optimization model for sustainable reverse logistics in Indian e-commerce market. Journal of Cleaner Production, 249: 119348

DOI

46
Elhedhli, S Merrick, R (2012). Green supply chain network design to reduce carbon emissions. Transportation Research Part D: Transport and Environment, 17( 5): 370–379

DOI

47
El Korchi, A Millet, D (2011). Designing a sustainable reverse logistics channel: The 18 generic structures framework. Journal of Cleaner Production, 19( 6–7): 588–597

DOI

48
Erdoğan, S Miller-Hooks, E (2012). A green vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 48( 1): 100–114

DOI

49
Eshtehadi, R Fathian, M Demir, E (2017). Robust solutions to the pollution-routing problem with demand and travel time uncertainty. Transportation Research Part D: Transport and Environment, 51: 351–363

DOI

50
Eun, J Song, B D Lee, S Lim, D E (2019). Mathematical investigation on the sustainability of UAV logistics. Sustainability, 11( 21): 5932

DOI

51
European Environment Agency (EEA) (2019). Freight transport volume and modal split within the EU

52
European Environment Agency (EEA) (2020). Greenhouse gas emissions from transport in Europe

53
Eydi, A Alavi, H (2019). Vehicle routing problem in reverse logistics with split demands of customers and fuel consumption optimization. Arabian Journal for Science and Engineering, 44( 3): 2641–2651

DOI

54
Fatnassi, E Chaouachi, J Klibi, W (2015). Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics. Transportation Research Part B: Methodological, 81: 440–460

DOI

55
Frade, I Ribeiro, A (2015). Bike-sharing stations: A maximal covering location approach. Transportation Research Part A: Policy and Practice, 82: 216–227

DOI

56
Franceschetti, A Demir, E Honhon, D van Woensel, T Laporte, G Stobbe, M (2017). A metaheuristic for the time-dependent pollution-routing problem. European Journal of Operational Research, 259( 3): 972–991

DOI

57
Fukasawa, R He, Q Song, Y (2016). A branch-cut-and-price algorithm for the energy minimization vehicle routing problem. Transportation Science, 50( 1): 23–34

DOI

58
Goeke, D (2019). Granular tabu search for the pickup and delivery problem with time windows and electric vehicles. European Journal of Operational Research, 278( 3): 821–836

DOI

59
Gong, L Li, Y Xu, D (2019). Combinational scheduling model considering multiple vehicle sizes. Sustainability, 11( 19): 5144

DOI

60
Gong, Y de Koster, R B (2011). A review on stochastic models and analysis of warehouse operations. Logistics Research, 3( 4): 191–205

DOI

61
Govindan, K Bouzon, M (2018). From a literature review to a multi-perspective framework for reverse logistics barriers and drivers. Journal of Cleaner Production, 187: 318–337

DOI

62
Govindan, K Jafarian, A Khodaverdi, R Devika, K (2014). Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152: 9–28

DOI

63
Govindan, K Jha, P C Garg, K (2016). Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing. International Journal of Production Research, 54( 5): 1463–1486

DOI

64
Granada-Echeverri, M Cubides, L Bustamante, J (2020). The electric vehicle routing problem with backhauls. International Journal of Industrial Engineering Computations, 11( 1): 131–152

DOI

65
Gu, J Goetschalckx, M McGinnis, L F (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177( 1): 1–21

DOI

66
Gu, J Goetschalckx, M McGinnis, L F (2010). Research on warehouse design and performance evaluation: A comprehensive review. European Journal of Operational Research, 203( 3): 539–549

DOI

67
Gupta, P Govindan, K Mehlawat, M K Khaitan, A (2022). Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags. International Journal of Production Research, 60( 8): 2369–2385

DOI

68
Gupta, V Radovanović, A (2020). Interior-point-based online stochastic bin packing. Operations Research, 68( 5): 1474–1492

DOI

69
Hajimiragha, A H Canizares, C A Fowler, M W Moazeni, S Elkamel, A (2011). A robust optimization approach for planning the transition to plug-in hybrid electric vehicles. IEEE Transactions on Power Systems, 26( 4): 2264–2274

DOI

70
Heilig, L Lalla-Ruiz, E Voß, S (2017). Multi-objective inter-terminal truck routing. Transportation Research Part E: Logistics and Transportation Review, 106: 178–202

DOI

71
HinesA (2008). How operations research drives success at P&G. CBS News

72
Holland, C Levis, J Nuggehalli, R Santilli, B Winters, J (2017). UPS optimizes delivery routes. Interfaces, 47( 1): 8–23

DOI

73
Hu, W Dong, J Hwang, B G Ren, R Chen, Z (2020). Network planning of urban underground logistics system with hub-and-spoke layout: Two phase cluster-based approach. Engineering, Construction, and Architectural Management, 27( 8): 2079–2105

DOI

74
Hua, G Cheng, T C E Wang, S (2011). Managing carbon footprints in inventory management. International Journal of Production Economics, 132( 2): 178–185

DOI

75
Institute for Operations Research and the Management Sciences (INFORMS) (2021). Consider a career in operations research and analytics!

76
Jabir, E Panicker, V V Sridharan, R (2017). Design and development of a hybrid ant colony-variable neighbourhood search algorithm for a multi-depot green vehicle routing problem. Transportation Research Part D: Transport and Environment, 57: 422–457

DOI

77
JDX (2017). Suqian became the No. 1 UAV city in the world (in Chinese)

78
Ji, S F Luo, R J (2017). A hybrid estimation of distribution algorithm for multi-objective multi-sourcing intermodal transportation network design problem considering carbon emissions. Sustainability, 9( 7): 1133

DOI

79
Ji, Y Tang, Y Shen, Y Du, Y Wang, W (2020). An integrated approach for tram prioritization in signalized corridors. IEEE Transactions on Intelligent Transportation Systems, 21( 6): 2386–2395

DOI

80
Jiménez, F Román, A (2016). Urban bus fleet-to-route assignment for pollutant emissions minimization. Transportation Research Part E: Logistics and Transportation Review, 85: 120–131

DOI

81
Kang, M W Jha, M K Buddharaju, R (2014). Rail transit route optimization model for rail infrastructure planning and design: Case study of Saint Andrews, Scotland. Journal of Transportation Engineering, 140( 1): 1–11

DOI

82
KaraIKaraB YYetisM K (2007). Energy minimizing vehicle routing problem. In: Proceedings of the 1st International Conference on Combinatorial Optimization and Applications. Xi’an: Springer, 62–71

83
Karimi, H Ghadirifaraz, B Boushehri, S N S Hosseininasab, S M Rafiei, N (2022). Reducing traffic congestion and increasing sustainability in special urban areas through one-way traffic reconfiguration. Transportation, 49: 37–60

DOI

84
Kazemian, I Rabbani, M Farrokhi-Asl, H (2018). A way to optimally solve a green time-dependent vehicle routing problem with time windows. Matemática Aplicada e Computacional, 37( 3): 2766–2783

DOI

85
Kleindorfer, P R Singhal, K van Wassenhove, L N (2005). Sustainable operations management. Production and Operations Management, 14( 4): 482–492

DOI

86
Küçükoğlu, İ Ene, S Aksoy, A Öztürk, N (2015). A memory structure adapted simulated annealing algorithm for a green vehicle routing problem. Environmental Science and Pollution Research International, 22( 5): 3279–3297

DOI

87
Kumar, S Narkhede, B E Jain, K (2021). Revisiting the warehouse research through an evolutionary lens: A review from 1990 to 2019. International Journal of Production Research, 59( 11): 3470–3492

DOI

88
Kumar, V N S A Kumar, V Brady, M Garza-Reyes, J A Simpson, M (2017). Resolving forward-reverse logistics multi-period model using evolutionary algorithms. International Journal of Production Economics, 183: 458–469

DOI

89
Kuppusamy, S Magazine, M J Rao, U (2017). Electric vehicle adoption decisions in a fleet environment. European Journal of Operational Research, 262( 1): 123–135

DOI

90
Lee, D H Dong, M Bian, W (2010). The design of sustainable logistics network under uncertainty. International Journal of Production Economics, 128( 1): 159–166

DOI

91
Lee, S Prabhu, V V (2016). Just-in-time delivery for green fleets: A feedback control approach. Transportation Research Part D: Transport and Environment, 46: 229–245

DOI

92
Letnik, T Mencinger, M Peruš, I (2020). Flexible assignment of loading bays for efficient vehicle routing in urban last mile delivery. Sustainability, 12( 18): 7500

DOI

93
Li, J Q Head, K L (2009). Sustainability provisions in the bus-scheduling problem. Transportation Research Part D: Transport and Environment, 14( 1): 50–60

DOI

94
Li, X Kuang, H Hu, Y (2019). Carbon mitigation strategies of port selection and multimodal transport operations: A case study of northeast China. Sustainability, 11( 18): 4877

DOI

95
Li, Y Lu, S (2021). Study on the optimization of urban passenger traffic structure based on multi-objective linear programming: A case study of Beijing. Environmental Science and Pollution Research International, 28( 8): 10192–10206

DOI

96
Li, Y Yang, W Huang, B (2020). Impact of UAV delivery on sustainability and costs under traffic restrictions. Mathematical Problems in Engineering, 9437605

DOI

97
Li, Z Huang, J (2018). How to effectively improve pesticide waste governance: A perspective of reverse logistics. Sustainability, 10( 10): 3622

DOI

98
Lien, R W Iravani, S M Smilowitz, K R (2014). Sequential resource allocation for nonprofit operations. Operations Research, 62( 2): 301–317

DOI

99
Lin, Y Jia, H Zou, B Miao, H Wu, R Tian, J Wang, G (2021). Multiobjective environmentally sustainable optimal design of dedicated connected autonomous vehicle lanes. Sustainability, 13( 6): 3454

DOI

100
Liu, D Deng, Z Sun, Q Wang, Y Wang, Y (2019). Design and freight corridor-fleet size choice in collaborative intermodal transportation network considering economies of scale. Sustainability, 11( 4): 990

DOI

101
Liu, G Li, L Chen, J Ma, F (2020a). Inventory sharing strategy and optimization for reusable transport items. International Journal of Production Economics, 228: 107742

DOI

102
Liu, W Wan, Z Wan, Z Gong, B (2020b). Sustainable recycle network of heterogeneous pharmaceuticals with governmental subsidies and service-levels of third-party logistics by bi-level programming approach. Journal of Cleaner Production, 249: 119324

DOI

103
Lu, C H Y Morrell, P (2001). Evaluation and implications of environmental charges on commercial flights. Transport Reviews, 21( 3): 377–395

DOI

104
Luo, H Zhao, F Chen, W Q Cai, H (2020). Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective. Transportation Research Part C: Emerging Technologies, 117: 102705

DOI

105
Luss, H (1982). Operations research and capacity expansion problems: A survey. Operations Research, 30( 5): 907–947

DOI

106
Lv, Y Wang, S Gao, Z Cheng, G Huang, G He, Z (2022). A sustainable road pricing oriented bilevel optimization approach under multiple environmental uncertainties. International Journal of Sustainable Transportation, 16( 2): 152–165

DOI

107
Macrina, G Laporte, G Guerriero, F Di Puglia Pugliese, L (2019). An energy-efficient green-vehicle routing problem with mixed vehicle fleet, partial battery recharging and time windows. European Journal of Operational Research, 276( 3): 971–982

DOI

108
Marrekchi, E Besbes, W Dhouib, D Demir, E (2021). A review of recent advances in the operations research literature on the green routing problem and its variants. Annals of Operations Research, 304( 1–2): 529–574

DOI

109
McKinnonABrowneMWhiteingAPiecykM (2015). Green Logistics: Improving the Environmental Sustainability of Logistics. New Delhi: Kogan Page Publishers

110
Mrabti, N Hamani, N Delahoche, L (2021). The pooling of sustainable freight transport. Journal of the Operational Research Society, 72( 10): 2180–2195

DOI

111
Naoum-Sawaya, J Cogill, R Ghaddar, B Sajja, S Shorten, R Taheri, N Tommasi, P Verago, R Wirth, F (2015). Stochastic optimization approach for the car placement problem in ridesharing systems. Transportation Research Part B: Methodological, 80: 173–184

DOI

112
Nenes, G Nikolaidis, Y (2012). A multi-period model for managing used product returns. International Journal of Production Research, 50( 5): 1360–1376

DOI

113
Neyestani, N Damavandi, M Y Shafie-Khah, M Contreras, J Catalão, J P (2015). Allocation of plug-in vehicles’ parking lots in distribution systems considering network-constrained objectives. IEEE Transactions on Power Systems, 30( 5): 2643–2656

DOI

114
Niu, Y Yang, Z Chen, P Xiao, J (2018). Optimizing the green open vehicle routing problem with time windows by minimizing comprehensive routing cost. Journal of Cleaner Production, 171: 962–971

DOI

115
Pamučar, D Gigović, L Ćirović, G Regodić, M (2016). Transport spatial model for the definition of green routes for city logistics centers. Environmental Impact Assessment Review, 56: 72–87

DOI

116
Parker, N Fan, Y Ogden, J (2010). From waste to hydrogen: An optimal design of energy production and distribution network. Transportation Research Part E: Logistics and Transportation Review, 46( 4): 534–545

DOI

117
Parsa, M Nookabadi, A S Flapper, S D Atan, Z (2019). Green hub-and-spoke network design for aviation industry. Journal of Cleaner Production, 229: 1377–1396

DOI

118
Plaza-Úbeda, J A Abad-Segura, E de, Burgos-Jiménez J Boteva-Asenova, A Belmonte-Ureña, L J (2021). Trends and new challenges in the green supply chain: The reverse logistics. Sustainability, 13( 1): 331

DOI

119
Psaraftis, H N Kontovas, C A (2014). Ship speed optimization: Concepts, models and combined speed-routing scenarios. Transportation Research Part C: Emerging Technologies, 44: 52–69

DOI

120
Pternea, M Kepaptsoglou, K Karlaftis, M G (2015). Sustainable urban transit network design. Transportation Research Part A: Policy and Practice, 77: 276–291

DOI

121
Pucher, J Komanoff, C Schimek, P (1999). Bicycling renaissance in North America? Recent trends and alternative policies to promote bicycling. Transportation Research Part A: Policy and Practice, 33( 7–8): 625–654

DOI

122
Rahimi, M Baboli, A Rekik, Y (2017). Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria. Transportation Research Part E: Logistics and Transportation Review, 101: 59–83

DOI

123
Ramos, T R P Gomes, M I Barbosa-Póvoa, A P (2014a). Economic and environmental concerns in planning recyclable waste collection systems. Transportation Research Part E: Logistics and Transportation Review, 62: 34–54

DOI

124
Ramos, T R P Gomes, M I Barbosa-Póvoa, A P (2014b). Planning a sustainable reverse logistics system: Balancing costs with environmental and social concerns. Omega, 48: 60–74

DOI

125
Reddy, K S Panwar, L K Kumar, R Panigrahi, B K (2016). Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm. Journal of Modern Power Systems and Clean Energy, 4( 2): 188–199

DOI

126
Ren, H Wang, Z Chen, Y (2020). Optimal express bus routes design with limited-stop services for long-distance commuters. Sustainability, 12( 4): 1669

DOI

127
Roberti, R Wen, M (2016). The electric traveling salesman problem with time windows. Transportation Research Part E: Logistics and Transportation Review, 89: 32–52

DOI

128
Rodriguez-Roman, D Ritchie, S G (2020). Surrogate-based optimization for multi-objective toll design problems. Transportation Research Part A: Policy and Practice, 137: 485–503

DOI

129
Safdar, N Khalid, R Ahmed, W Imran, M (2020). Reverse logistics network design of e-waste management under the triple bottom line approach. Journal of Cleaner Production, 272: 122662

DOI

130
Saka, O C Gürel, S van, Woensel T (2017). Using cost change estimates in a local search heuristic for the pollution routing problem. OR-Spektrum, 39( 2): 557–587

DOI

131
Santos, M J Martins, S Amorim, P Almada-Lobo, B (2021). A green lateral collaborative problem under different transportation strategies and profit allocation methods. Journal of Cleaner Production, 288: 125678

DOI

132
Sbihi, A Eglese, R W (2010). Combinatorial optimization and green logistics. Annals of Operations Research, 175( 1): 159–175

DOI

133
Schiffer, M Klein, P S Laporte, G Walther, G (2021). Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks. European Journal of Operational Research, 291( 3): 944–960

DOI

134
Schiffer, M Walther, G (2018). Strategic planning of electric logistics fleet networks: A robust location-routing approach. Omega, 80: 31–42

DOI

135
Shah, B Khanzode, V (2017). A comprehensive review of warehouse operational issues. International Journal of Logistics Systems and Management, 26( 3): 346–378

DOI

136
Shah, P J Anagnostopoulos, T Zaslavsky, A Behdad, S (2018). A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities. Waste Management, 78: 104–114

DOI

137
Silver, E A (1981). Operations research in inventory management: A review and critique. Operations Research, 29( 4): 628–645

DOI

138
Solano, C M Roldán, R F Carvajal, M F Gómez, A J Mattos, S Vives, J I (2021). Reverse logistic processes for glass container reuse. Environmental Processes, 8( 1): 397–411

DOI

139
Srivastava, S K (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9( 1): 53–80

DOI

140
Stasko, T H Gao, H O (2010). Reducing transit fleet emissions through vehicle retrofits, replacements, and usage changes over multiple time periods. Transportation Research Part D: Transport and Environment, 15( 5): 254–262

DOI

141
State Council Information Office (SCIO) of the PRC (2016). Notice on further encouraging the development of multimodal transport (in Chinese)

142
Staudt, F H Alpan, G Di Mascolo, M Rodriguez, C M T (2015). Warehouse performance measurement: A literature review. International Journal of Production Research, 53( 18): 5524–5544

DOI

143
Stiglic, M Agatz, N Savelsbergh, M W P Gradisar, M (2016). Making dynamic ride-sharing work: The impact of driver and rider flexibility. Transportation Research Part E: Logistics and Transportation Review, 91: 190–207

DOI

144
SumagaysayL (2020). The pandemic has more than doubled food-delivery apps’ business. Now what? MarketWatch

145
Sun, Y Li, X Liang, X Zhang, C (2019). A bi-objective fuzzy credibilistic chance-constrained programming approach for the hazardous materials road-rail multimodal routing problem under uncertainty and sustainability. Sustainability, 11( 9): 2577

DOI

146
Suzuki, Y Kabir, Q S (2015). Green vehicle routing for small motor carriers. Transportation Journal, 54( 2): 186–212

DOI

147
Tajik, N Tavakkoli-Moghaddam, R Vahdani, B Mousavi, S M (2014). A robust optimization approach for pollution routing problem with pickup and delivery under uncertainty. Journal of Manufacturing Systems, 33( 2): 277–286

DOI

148
Tavassoli, K Tamannaei, M (2020). Hub network design for integrated bike-and-ride services: A competitive approach to reducing automobile dependence. Journal of Cleaner Production, 248: 119247

DOI

149
Tirkolaee, E B Hosseinabadi, A A R Soltani, M Sangaiah, A K Wang, J (2018). A hybrid genetic algorithm for multi-trip green capacitated arc routing problem in the scope of urban services. Sustainability, 10( 5): 1366

DOI

150
Tirkolaee, E B Mahdavi, I Esfahani, M M S Weber, G W (2020). A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty. Waste Management, 102: 340–350

DOI

151
United Nations Economic Commission for Europe (UNECE) (2021). Climate change and sustainable transport

152
United Nations (UN) (2021). Global e-commerce jumps to $26.7 trillion, fuelled by COVID-19

153
van Woensel, T Creten, R Vandaele, N (2001). Managing the environmental externalities of traffic logistics: The issue of emissions. Production and Operations Management, 10( 2): 207–223

DOI

154
Verma, M Verter, V (2010). A lead-time based approach for planning rail-truck intermodal transportation of dangerous goods. European Journal of Operational Research, 202( 3): 696–706

DOI

155
Vidal, T Laporte, G Matl, P (2020). A concise guide to existing and emerging vehicle routing problem variants. European Journal of Operational Research, 286( 2): 401–416

DOI

156
Wang, S Liu, M Chu, F (2020a). Approximate and exact algorithms for an energy minimization traveling salesman problem. Journal of Cleaner Production, 249: 119433

DOI

157
Wang, Y Assogba, K Fan, J Xu, M Liu, Y Wang, H (2019a). Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost. Journal of Cleaner Production, 232: 12–29

DOI

158
Wang, Y Ma, X Liu, M Gong, K Liu, Y Xu, M Wang, Y (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft Computing, 56: 143–157

DOI

159
Wang, Y Peng, S Assogba, K Liu, Y Wang, H Xu, M Wang, Y (2018). Implementation of cooperation for recycling vehicle routing optimization in two-echelon reverse logistics networks. Sustainability, 10( 5): 1358

DOI

160
Wang, Y Peng, S Zhou, X Mahmoudi, M Zhen, L (2020b). Green logistics location-routing problem with eco-packages. Transportation Research Part E: Logistics and Transportation Review, 143: 102118

DOI

161
Wang, Y Zhou, Y Yan, X (2019b). Optimizing train-set circulation plan in high-speed railway networks using genetic algorithm. Journal of Advanced Transportation, 8526953

DOI

162
Wang, Z Zhou, L Guo, B Chen, X Zhou, H (2021). An efficient hybrid approach for scheduling the train timetable for the longer distance high-speed railway. Sustainability, 13( 5): 2538

DOI

163
World Bank (WB) (2018). What a waste 2.0: A global snapshot of solid waste management to 2050

164
Wu, L Wang, S (2020). The shore power deployment problem for maritime transportation. Transportation Research Part E: Logistics and Transportation Review, 135: 101883

DOI

165
Wu, Z Cai, X Li, M Hu, L (2022). Optimal mixed charging schemes for traffic congestion management with subsidy to new energy vehicle users. International Transactions in Operational Research, 29( 1): 6–23

DOI

166
Xi, H He, L Zhang, Y Wang, Z (2020). Bounding the efficiency gain of differentiable road pricing for EVs and GVs to manage congestion and emissions. PLoS One, 15( 7): e0234204

DOI

167
Xiao, Y Konak, A (2017). A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem. Journal of Cleaner Production, 167: 1450–1463

DOI

168
Yener, F Yazgan, H R (2019). Optimal warehouse design: Literature review and case study application. Computers & Industrial Engineering, 129: 1–13

DOI

169
Yi, W Phipps, R Wang, H (2020). Sustainable ship loading planning for prefabricated products in the construction industry. Sustainability, 12( 21): 8905

DOI

170
Zarbakhshnia, N Kannan, D Mavi, R K Soleimani, H (2020). A novel sustainable multi-objective optimization model for forward and reverse logistics system under demand uncertainty. Annals of Operations Research, 295( 2): 843–880

DOI

171
Zhalechian, M Tavakkoli-Moghaddam, R Zahiri, B Mohammadi, M (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E: Logistics and Transportation Review, 89: 182–214

DOI

172
Zhang, P Liu, Y Yang, G Zhang, G (2022). A multi-objective distributionally robust model for sustainable last mile relief network design problem. Annals of Operations Research, 309: 689–730

DOI

173
Zhao, Y Fan, Y Zhou, J Kuang, H (2019). Bi-objective optimization of vessel speed and route for sustainable coastal shipping under the regulations of emission control areas. Sustainability, 11( 22): 6281

DOI

174
Zhao, Y Xue, Q Zhang, X (2018). Stochastic empty container repositioning problem with CO2 emission considerations for an intermodal transportation system. Sustainability, 10( 11): 4211

DOI

175
Zhen, L Li, H (2022). A literature review of smart warehouse operations management. Frontiers of Engineering Management, 9( 1): 31–55

DOI

176
Zhen, L Wu, Y Wang, S Laporte, G (2020). Green technology adoption for fleet deployment in a shipping network. Transportation Research Part B: Methodological, 139: 388–410

DOI

177
Zhen, L Wu, Y Wang, S Yi, W (2021). Crowdsourcing mode evaluation for parcel delivery service platforms. International Journal of Production Economics, 235: 108067

DOI

178
Zhou, W Fan, W You, X Deng, L (2019a). Demand-oriented train timetabling integrated with passenger train-booking decisions. Sustainability, 11( 18): 4932

DOI

179
Zhou, X Wang, Y Ji, X Cottrill, C (2019b). Coordinated control strategy for multi-line bus bunching in common corridors. Sustainability, 11( 22): 6221

DOI

180
Zhou, X Zhou, Y (2015). Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing. Resources, Conservation and Recycling, 100: 58–69

DOI

Outlines

/