ISSN 2466-4677; e-ISSN 2466-4847
SCImago Journal Rank
2023: SJR=0.19
CWTS Journal Indicators
2023: SNIP=0.57
ENERGY-EFFICIENCY AND SUSTAINABILITY IN CROSS-DOCKING SUPPLY USING E-VEHICLES
Authors:
1 University of Miskolc, Miskolc-Egyetemváros, 3515, Hungary
Received: 13 June 2023
Revised: 30 September 2023
Accepted: 23 October 2023
Published: 31 December 2023
Abstract:
Manufacturing and service companies in different sectors are trying to green their supply chains in two ways: by optimizing processes and by using green technologies such as electric vehicles. Cross-docking offers a good solution for optimizing supply chain processes. The aim of this research is to investigate how cross-docking supply with electric vehicles can lead to energy efficient solutions and emission reduction. The scientific novelty of this research is the integration of a process improvement solution and the application of advanced technology through optimization. The presented functional model, mathematical model and its solution algorithm are suitable to demonstrate the economic feasibility of applying a cross-docking facility and solving the transportation tasks with e-trucks for a conventional supply chain. Based on the numerical studies presented, it can be concluded, that the proposed solution can significantly contribute to the optimization of local and global supply chains, reducing the ecological footprint of supply chains both locally and globally. As the analysis of case studies shows, it is possible to reach an energy efficiency improvement of about 40%, which can also lead to a significant GHG emission up to 30%.
Keywords:
GHG emission, energy consumption, optimization, logistics operations, supply chain management
References:
[1] H. Hosseini-Nasab, S. Nasrollahi, M.B. Fakhrzad, M. Honarvar, Transportation cost reduction using cross-docks linking. Journal of Engineering Research, 11(1), 2023: 100015. https://doi.org/10.1016/j.jer.2023.100015
[2] M.A. Dulebenets, An Adaptive Polyploid Memetic Algorithm for scheduling trucks at a cross-docking terminal. Information Sciences, 565, 2021: 390-421. https://doi.org/10.1016/j.ins.2021.02.039
[3] Transparency Market Research: Cross Docking Services Market. URL:
https://www.transparencymarketresearch.com/cross-docking-services-market.html (Accessed: 08/10/2023)
[4] E.V. Dudukalov, M.I. Subhani, D. Ushakov, Cross docking as a factor of distribution efficiencies improving in conditions of governance digitalization. IOP Conference Series: Materials Science and Engineering, 918, 2020: 012188. https://doi.org/10.1088/1757-899X/918/1/012188
[5] A. Hasani Goodarzi, S.H. Zegordi, G. Alpan, I. Nakhai Kamalabadi, A. Husseinzadeh Kashan, Reliable cross-docking location problem under the risk of disruptions. Operational Research, 21(3), 2021: 1569-1612. https://doi.org/10.1007/s12351-020-00583-5
[6] Y. Esmizadeh, M. Mellat Parast, Logistics and supply chain network designs: incorporating competitive priorities and disruption risk management perspectives. International Journal of Logistics Research and Applications, 24(2), 2021: 174-197. https://doi.org/10.1080/13675567.2020.1744546
[7] O. Theophilus, M.A. Dulebenets, J. Pasha, Y.Y. Lau, A.M. Fathollahi-Fard, A. Mazaheri, Truck scheduling optimization at a cold-chain cross- docking terminal with product perishability considerations. Computers and Industrial Engineering, 156, 2023: 107240. https://doi.org/10.1016/j.cie.2021.107240
[8] P.M. Cota, T.H. Nogueira, A.A. Juan, M.G. Ravetti, Integrating vehicle scheduling and open routing decisions in a cross-docking center with multiple docks. Computers and Industrial Engineering, 164, 2022: 107869. https://doi.org/10.1016/j.cie.2021.107869
[9] M. Tavana, H. Kian, A.K. Nasr, K. Govindan, H. Mina, A comprehensive framework for sustainable closed-loop supply chain network design. Journal of Cleaner Production, 332, 2022: 129777.
https://doi.org/10.1016/j.jclepro.2021.129777
[10] R. Shahabi-Shahmiri, S. Asian, R. Tavakkoli- Moghaddam, S.M. Mousavi, M. Rajabzadeh, A routing and scheduling problem for cross- docking networks with perishable products, heterogeneous vehicles and split delivery. Computers and Industrial Engineering, 157, 2021: 107299. https://doi.org/10.1016/j.cie.2021.107299
[11] C.M. Pereira, R. Anholon, I.S. Rampasso, O.L.G. Quelhas, W. Leal Filho, L.A. Santa- Eulalia, Evaluation of lean practices in warehouses: an analysis of Brazilian reality. International Journal of Productivity and Performance Management, 70(1), 2021: 1-20. https://doi.org/10.1108/IJPPM-01-2019-0034
[12] M.J. Santos, S. Martins, P. Amorim, B. Almada- Lobo, A green lateral collaborative problem under different transportation strategies and profit allocation methods. Journal of Cleaner Production, 288, 2021: 125678. https://doi.org/10.1016/j.jclepro.2020.125678
[13] M.A. Dulebenets, A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility. International Journal of Production Economics, 212, 2019: 236-258.
https://doi.org/10.1016/j.ijpe.2019.02.017
[14] R.H.N. Monemi, S. Gelareh, N. Maculan, A machine learning based branch-cut-and- Benders for dock assignment and truck scheduling problem in cross-docks. Transportation Research Part E: Logistics and Transportation Review, 178, 2023: 103263. https://doi.org/10.1016/j.tre.2023.103263
[15] S. Gelareh, F. Glover, O. Guemri, S. Hanafi, P. Nduwayo, R. Todosijević, A comparative study of formulations for a cross-dock door assignment problem. Omega, 91, 2020:102015.
https://doi.org/10.1016/j.omega.2018.12.004
[16] M.A. Dulebenets, A Comprehensive Evaluation of Weak and Strong Mutation Mechanisms in Evolutionary Algorithms for Truck Scheduling at Cross-Docking Terminals. IEEE Access, 6, 2018: 65635-65650. https://doi.org/10.1109/ACCESS.2018.2874439
[17] P. Rostami, S.D. Avakh Darestani, M. Movassaghi, Modelling Cross-Docking in a Three-Level Supply Chain with Stochastic Service and Queuing System: MOWFA Algorithm. Algorithms, 15, 2022: 265.
https://doi.org/10.3390/a15080265
[18] O. Theophilus, M.A. Dulebenets, J. Pasha, O.F. Abioye, M. Kavoosi, Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The- Art Review. Sustainability, 11, 2019: 5245.
https://doi.org/10.3390/su11195245
[19] C. Serrano, X. Delorme, A. Dolgui, Cross-dock distribution and operation planning for overseas delivery consolidation. CIRP Journal of Manufacturing Science and Technology, 33, 2021: 71-81.
https://doi.org/10.1016/j.cirpj.2021.02.007
[20] M. Vanajakumari, H. Sun, A. Jones, C. Sriskandarajah, Supply chain planning: A case for Hybrid Cross-Docks. Omega, 108, 2022: 102585. https://doi.org/10.1016/j.omega.2021.102585
[21] A. Smith, P. Toth, L. Bam, J.H. van Vuuren, A multi-tiered vehicle routing problem with global cross-docking. Computers and Operations Research, 137, 2022: 105526. https://doi.org/10.1016/j.cor.2021.105526
[22] D.G. Mogale, A. Ghadge, M.K. Tiwari, Designing a sustainable freight transportation network with cross-docks. International Journal of Production Research, 61(5), 2023: 1455-1478.
https://doi.org/10.1080/00207543.2022.2037777
[23] D.G. Mogale, A. Ghadge, M.K. Tiwari, Designing a sustainable freight transportation network with cross-docks. International Journal of Production Research, 61(5), 2023:1455-1478.
https://doi.org/10.1080/00207543.2022.2037777
[24] S. Rezaei, A. Kheirkhah, A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations. Computational and Mathematical Organization Theory, 24(1), 2018, 51-98. https://doi.org/10.1007/s10588-017-9247-3
[25] T. Chargui, A. Bekrar, M. Reghioui, D. Trentesaux, Multi-objective sustainable truck scheduling in a rail-road physical internet cross-docking hub considering energy consumption. Sustainability, 11(11), 2019: 3127. https://doi.org/10.3390/su11113127
[26] J. Acevedo-Chedid, M.C., Soto, H. Ospina- Mateus, K. Salas-Navarro, S.S. Sana, An optimization model for routing-location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods. Operations Management Research, 2023, 379. https://doi.org/10.1007/s12063-023-00379-8
[27] A.W.L. Lee, K. Toyoda, I. Yeow, Z. Yeo, J.S.C. Low, W.F. Lu, Blockchain-enabled carbon emission management system in a multi-tier supply chain. Procedia CIRP, 116, 2023: 233-238.
https://doi.org/10.1016/j.procir.2023.02.040
[28] M.Z. Akkad, S. Haidar, T. Bányai, Design of Cyber-Physical Waste Management Systems Focusing on Energy Efficiency and Sustainability. Designs, 6(2), 2022: 39. https://doi.org/10.3390/designs6020039
[29] C. Maiyue, Y, Tan, SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization. Swarm and Evolutionary Computation, 80, 2023: 101314.
https://doi.org/10.1016/j.swevo.2023.101314
[30] J. Pasha, A.L. Nwodu, A.M. Fathollahi-Fard, G. Tian, Z. Li, H. Wang, M.A. Dulebenets, Exact and metaheuristic algorithms for the vehiclerouting problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 2022: 101623. https://doi.org/10.1016/j.aei.2022.101623
[31] M.A. Dulebenets, A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions. Swarm and Evolutionary Computation, 80, 2023: 101334. https://doi.org/10.1016/j.swevo.2023.101334
[32] E. Singh, N. Pillay, A study of ant-based pheromone spaces for generation constructive hyper-heuristics. Swarm and Evolutionary Computation, 72, 2022: 101095. https://doi.org/10.1016/j.swevo.2022.101095
© 2023 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
How to Cite
Á. Bányai, Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), 2023: 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
More Citation Formats
Bányai, Á. (2023). Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
Bányai, Ágota,“Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles.“ Applied Engineering Letters, vol. 8, no. 4, 2023, pp.139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
Bányai, Ágota. 2023. “Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles.“ Applied Engineering Letters, 8 (4): 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1.
Bányai, Á. (2023). Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), pp. 139-147.
doi: 10.18485/aeletters.2023.8.4.1.
ENERGY-EFFICIENCY AND SUSTAINABILITY IN CROSS-DOCKING SUPPLY USING E-VEHICLES
Authors:
1 University of Miskolc, Miskolc-Egyetemváros, 3515, Hungary
Received: 13 June 2023
Revised: 30 September 2023
Accepted: 23 October 2023
Published: 31 December 2023
Abstract:
Manufacturing and service companies in different sectors are trying to green their supply chains in two ways: by optimizing processes and by using green technologies such as electric vehicles. Cross-docking offers a good solution for optimizing supply chain processes. The aim of this research is to investigate how cross-docking supply with electric vehicles can lead to energy efficient solutions and emission reduction. The scientific novelty of this research is the integration of a process improvement solution and the application of advanced technology through optimization. The presented functional model, mathematical model and its solution algorithm are suitable to demonstrate the economic feasibility of applying a cross-docking facility and solving the transportation tasks with e-trucks for a conventional supply chain. Based on the numerical studies presented, it can be concluded, that the proposed solution can significantly contribute to the optimization of local and global supply chains, reducing the ecological footprint of supply chains both locally and globally. As the analysis of case studies shows, it is possible to reach an energy efficiency improvement of about 40%, which can also lead to a significant GHG emission up to 30%.
Keywords:
GHG emission, energy consumption, optimization, logistics operations, supply chain management
References:
[1] H. Hosseini-Nasab, S. Nasrollahi, M.B. Fakhrzad, M. Honarvar, Transportation cost reduction using cross-docks linking. Journal of Engineering Research, 11(1), 2023: 100015. https://doi.org/10.1016/j.jer.2023.100015
[2] M.A. Dulebenets, An Adaptive Polyploid Memetic Algorithm for scheduling trucks at a cross-docking terminal. Information Sciences, 565, 2021: 390-421. https://doi.org/10.1016/j.ins.2021.02.039
[3] Transparency Market Research: Cross Docking Services Market. URL:
https://www.transparencymarketresearch.com/cross-docking-services-market.html (Accessed: 08/10/2023)
[4] E.V. Dudukalov, M.I. Subhani, D. Ushakov, Cross docking as a factor of distribution efficiencies improving in conditions of governance digitalization. IOP Conference Series: Materials Science and Engineering, 918, 2020: 012188. https://doi.org/10.1088/1757-899X/918/1/012188
[5] A. Hasani Goodarzi, S.H. Zegordi, G. Alpan, I. Nakhai Kamalabadi, A. Husseinzadeh Kashan, Reliable cross-docking location problem under the risk of disruptions. Operational Research, 21(3), 2021: 1569-1612. https://doi.org/10.1007/s12351-020-00583-5
[6] Y. Esmizadeh, M. Mellat Parast, Logistics and supply chain network designs: incorporating competitive priorities and disruption risk management perspectives. International Journal of Logistics Research and Applications, 24(2), 2021: 174-197. https://doi.org/10.1080/13675567.2020.1744546
[7] O. Theophilus, M.A. Dulebenets, J. Pasha, Y.Y. Lau, A.M. Fathollahi-Fard, A. Mazaheri, Truck scheduling optimization at a cold-chain cross- docking terminal with product perishability considerations. Computers and Industrial Engineering, 156, 2023: 107240. https://doi.org/10.1016/j.cie.2021.107240
[8] P.M. Cota, T.H. Nogueira, A.A. Juan, M.G. Ravetti, Integrating vehicle scheduling and open routing decisions in a cross-docking center with multiple docks. Computers and Industrial Engineering, 164, 2022: 107869. https://doi.org/10.1016/j.cie.2021.107869
[9] M. Tavana, H. Kian, A.K. Nasr, K. Govindan, H. Mina, A comprehensive framework for sustainable closed-loop supply chain network design. Journal of Cleaner Production, 332, 2022: 129777.
https://doi.org/10.1016/j.jclepro.2021.129777
[10] R. Shahabi-Shahmiri, S. Asian, R. Tavakkoli- Moghaddam, S.M. Mousavi, M. Rajabzadeh, A routing and scheduling problem for cross- docking networks with perishable products, heterogeneous vehicles and split delivery. Computers and Industrial Engineering, 157, 2021: 107299. https://doi.org/10.1016/j.cie.2021.107299
[11] C.M. Pereira, R. Anholon, I.S. Rampasso, O.L.G. Quelhas, W. Leal Filho, L.A. Santa- Eulalia, Evaluation of lean practices in warehouses: an analysis of Brazilian reality. International Journal of Productivity and Performance Management, 70(1), 2021: 1-20. https://doi.org/10.1108/IJPPM-01-2019-0034
[12] M.J. Santos, S. Martins, P. Amorim, B. Almada- Lobo, A green lateral collaborative problem under different transportation strategies and profit allocation methods. Journal of Cleaner Production, 288, 2021: 125678. https://doi.org/10.1016/j.jclepro.2020.125678
[13] M.A. Dulebenets, A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility. International Journal of Production Economics, 212, 2019: 236-258.
https://doi.org/10.1016/j.ijpe.2019.02.017
[14] R.H.N. Monemi, S. Gelareh, N. Maculan, A machine learning based branch-cut-and- Benders for dock assignment and truck scheduling problem in cross-docks. Transportation Research Part E: Logistics and Transportation Review, 178, 2023: 103263. https://doi.org/10.1016/j.tre.2023.103263
[15] S. Gelareh, F. Glover, O. Guemri, S. Hanafi, P. Nduwayo, R. Todosijević, A comparative study of formulations for a cross-dock door assignment problem. Omega, 91, 2020:102015.
https://doi.org/10.1016/j.omega.2018.12.004
[16] M.A. Dulebenets, A Comprehensive Evaluation of Weak and Strong Mutation Mechanisms in Evolutionary Algorithms for Truck Scheduling at Cross-Docking Terminals. IEEE Access, 6, 2018: 65635-65650. https://doi.org/10.1109/ACCESS.2018.2874439
[17] P. Rostami, S.D. Avakh Darestani, M. Movassaghi, Modelling Cross-Docking in a Three-Level Supply Chain with Stochastic Service and Queuing System: MOWFA Algorithm. Algorithms, 15, 2022: 265.
https://doi.org/10.3390/a15080265
[18] O. Theophilus, M.A. Dulebenets, J. Pasha, O.F. Abioye, M. Kavoosi, Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The- Art Review. Sustainability, 11, 2019: 5245.
https://doi.org/10.3390/su11195245
[19] C. Serrano, X. Delorme, A. Dolgui, Cross-dock distribution and operation planning for overseas delivery consolidation. CIRP Journal of Manufacturing Science and Technology, 33, 2021: 71-81.
https://doi.org/10.1016/j.cirpj.2021.02.007
[20] M. Vanajakumari, H. Sun, A. Jones, C. Sriskandarajah, Supply chain planning: A case for Hybrid Cross-Docks. Omega, 108, 2022: 102585. https://doi.org/10.1016/j.omega.2021.102585
[21] A. Smith, P. Toth, L. Bam, J.H. van Vuuren, A multi-tiered vehicle routing problem with global cross-docking. Computers and Operations Research, 137, 2022: 105526. https://doi.org/10.1016/j.cor.2021.105526
[22] D.G. Mogale, A. Ghadge, M.K. Tiwari, Designing a sustainable freight transportation network with cross-docks. International Journal of Production Research, 61(5), 2023: 1455-1478.
https://doi.org/10.1080/00207543.2022.2037777
[23] D.G. Mogale, A. Ghadge, M.K. Tiwari, Designing a sustainable freight transportation network with cross-docks. International Journal of Production Research, 61(5), 2023:1455-1478.
https://doi.org/10.1080/00207543.2022.2037777
[24] S. Rezaei, A. Kheirkhah, A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations. Computational and Mathematical Organization Theory, 24(1), 2018, 51-98. https://doi.org/10.1007/s10588-017-9247-3
[25] T. Chargui, A. Bekrar, M. Reghioui, D. Trentesaux, Multi-objective sustainable truck scheduling in a rail-road physical internet cross-docking hub considering energy consumption. Sustainability, 11(11), 2019: 3127. https://doi.org/10.3390/su11113127
[26] J. Acevedo-Chedid, M.C., Soto, H. Ospina- Mateus, K. Salas-Navarro, S.S. Sana, An optimization model for routing-location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods. Operations Management Research, 2023, 379. https://doi.org/10.1007/s12063-023-00379-8
[27] A.W.L. Lee, K. Toyoda, I. Yeow, Z. Yeo, J.S.C. Low, W.F. Lu, Blockchain-enabled carbon emission management system in a multi-tier supply chain. Procedia CIRP, 116, 2023: 233-238.
https://doi.org/10.1016/j.procir.2023.02.040
[28] M.Z. Akkad, S. Haidar, T. Bányai, Design of Cyber-Physical Waste Management Systems Focusing on Energy Efficiency and Sustainability. Designs, 6(2), 2022: 39. https://doi.org/10.3390/designs6020039
[29] C. Maiyue, Y, Tan, SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization. Swarm and Evolutionary Computation, 80, 2023: 101314.
https://doi.org/10.1016/j.swevo.2023.101314
[30] J. Pasha, A.L. Nwodu, A.M. Fathollahi-Fard, G. Tian, Z. Li, H. Wang, M.A. Dulebenets, Exact and metaheuristic algorithms for the vehiclerouting problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 2022: 101623. https://doi.org/10.1016/j.aei.2022.101623
[31] M.A. Dulebenets, A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions. Swarm and Evolutionary Computation, 80, 2023: 101334. https://doi.org/10.1016/j.swevo.2023.101334
[32] E. Singh, N. Pillay, A study of ant-based pheromone spaces for generation constructive hyper-heuristics. Swarm and Evolutionary Computation, 72, 2022: 101095. https://doi.org/10.1016/j.swevo.2022.101095
© 2023 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
How to Cite
Á. Bányai, Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), 2023: 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
More Citation Formats
Bányai, Á. (2023). Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
Bányai, Ágota,“Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles.“ Applied Engineering Letters, vol. 8, no. 4, 2023, pp.139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1
Bányai, Ágota. 2023. “Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles.“ Applied Engineering Letters, 8 (4): 139-147.
https://doi.org/10.18485/aeletters.2023.8.4.1.
Bányai, Á. (2023). Energy-Efficiency and Sustainability in Cross-Docking Supply Using E-vehicles. Applied Engineering Letters, 8(4), pp. 139-147.
doi: 10.18485/aeletters.2023.8.4.1.