Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products

Expert Systems with Applications

Volumn 72, Issue , 2017, Pages 93-107

  Tavana, Madjid ^a,b   Khalili Damghani, Kaveh ^c   Santos Arteaga, Francisco J ^d,e   Zandi, Mohammad Hossein ^c  

^a LA SALLE UNIVERSITY   (United States)

^b UNIVERSITY OF PADERBORN   (Germany)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d FREE UNIVERSITY OF BOLZANO   (Italy)

^e UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Cross docking; Drone shipping; Multiple fleets; Multiple products; Truck scheduling

Indexed keywords

FUNCTIONS; INTEGER PROGRAMMING; SCHEDULING; SENSITIVITY ANALYSIS; SHIPS; TRUCKS; UNCERTAINTY ANALYSIS;

ALLOCATION AND SCHEDULING; CROSSDOCKING; EPSILON-CONSTRAINT METHOD; MATHEMATICAL PROGRAMMING PROBLEM; MULTIPLE FLEETS; MULTIPLE PRODUCTS; NONDOMINATED SOLUTIONS; TRUCK SCHEDULING;

DRONES;

EID: 85007575142     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2016.12.014     Document Type: Article

References (45)

1. Alpan, G., Larbi, R., Penz, B., A bounded dynamic programming approach to schedule operations in a cross docking platform. Computers and Industrial Engineering 60:3 (2011), 385–396.
2. Arabani, A.R.B., Ghomi, S.M.T.F., Zandieh, M., Meta-heuristics implementation for scheduling of trucks in a cross-docking system with temporary storage. Expert Systems with Applications 38:3 (2011), 64–79.
3. Bányai, T., Direct shipment vs. cross docking. Advanced Logistic Systems 6:1 (2012), 83–88.
4. Boysen, N., Fliedner, M., Cross dock scheduling: Classification, literature review and research agenda. Omega 38 (2010), 413–422.
5. Boysen, N., Fliedner, M., Scholl, A., Scheduling inbound and outbound trucks at cross docking terminals. OR Spectrum 32:1 (2010), 35–61.
6. Brown, J.R., Guiffrida, A.L., Carbon emissions comparison of last mile delivery versus customer pickup. International Journal of Logistics Research and Applications 17:6 (2014), 503–521.
7. Chen, F., Lee, C.Y., Minimizing the makespan in a two-machine cross-docking flow shop problem. European Journal of Operational Research 193:1 (2009), 59–72.
8. Chen, F., Song, K., Minimizing makespan in two-stage hybrid cross docking scheduling problem. Computers and Operations Research 36:6 (2009), 66–73.
9. Chmielewski, A., Naujoks, B., Janas, M., Clausen, U., Optimizing the door assignment in LTL-terminals. Transportation Science 43:2 (2009), 198–210.
10. Dell'Amico, M., Hadjidimitriou, S., Innovative logistics model and containers solution for efficient last mile delivery. Procedia - Social and Behavioral Sciences 48 (2012), 1505–1514.
11. Dondo, R., Méndez, C., Cerdá, J., The multi-echelon vehicle routing problem with cross docking in supply chain management. Computers and Chemical Engineering 35 (2011), 3002–3024.
12. Ducret, R., Parcel deliveries and urban logistics: Changes and challenges in the courier express and parcel sector in Europe — The French case. Research in Transportation Business & Management 11 (2014), 15–22.
13. Forouharfard, S., Zandieh, M., An imperialist competitive algorithm to schedule of receiving and delivering trucks in cross-docking systems. International Journal of Advanced Manufacturing Technology 51:9 (2010), 1179–1193.
14. Gevaers, R., Van de Voorde, E., Vanelslander, T., Cost modelling and simulation of last-mile characteristics in an innovative B2C supply chain environment with implications on urban areas and cities. Procedia - Social and Behavioral Sciences 125 (2014), 398–411.
15. Groß, P.-O., Ulmer, M.W., Ehmke, J.F., Mattfeld, D.C., Exploiting travel time information for reliable routing in city logistics. Transportation Research Procedia 10 (2015), 652–661.
16. Hafezalkotob, A., Khalili-Damghani, K., Development of a multi-period model to minimize logistic costs and maximise service level in a three-echelon multi-product supply chain considering back orders. International Journal of Applied Decision Sciences 8 (2015), 145–163.
17. Khalili-Damghani, K., Abtahi, A.-R., Ghasemi, A., A new bi-objective location-routing problem for distribution of perishable products: Evolutionary computation approach. Journal of Mathematical Modelling and Algorithms, 2015, 10.1007/s10852-015-9274-3.
18. Khalili-Damghani, K., Abtahi, A.-R., Tavana, M., A decision support system for solving multi-objective redundancy allocation problems. Quality and Reliability Engineering International, 2013, 10.1002/qre.1545.
19. Khalili-Damghani, K., Abtahi, A.-R., Tavana, M., A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems. Reliability Engineering & System Safety 111 (2013), 58–75.
20. Khalili-Damghani, K., Amiri, M., Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA. Reliability Engineering & System Safety 103 (2012), 35–44.
21. Khalili-Damghani, K., Nojavan, M., Tavana, M., Solving fuzzy multidimensional multiple-choice knapsack problems: The multi-start Partial Bound Enumeration method versus the efficient epsilon-constraint method. Applied Soft Computing 13 (2013), 1627–1638.
22. Khalili-Damghani, K., Tavana, M., Abtahi, A.-R., Santos-Arteaga, F.J., Solving multi-mode time–cost–quality trade-off problems under generalized precedence relations. Optimization Methods & Software 30:5 (2015), 965–1001 http://dx.doi.org/10.1080/10556788.2015.1005838.
23. Khalili-Damghani, K., Tavana, M., Sadi-Nezhad, S., An integrated multi-objective framework for solving multi-period project selection problems. Applied Mathematics and Computation 219 (2012), 3122–3138.
24. Köster, F., Ulmer, M.W., Mattfeld, D.C., Cooperative traffic control management for city logistic routing. Transportation Research Procedia 10 (2015), 673–682.
25. Larbi, R., Alpan, G., Baptiste, P., Penz, B., Scheduling cross docking operations under full, partial and no information on inbound arrivals. Computers and Operations Research 38:6 (2011), 889–900.
26. Lee, S. D.: (2015) Are drones the future of medical air transport? HIT consultant (04/08). http://hitconsultant.net/2015/04/08/drones-medical-transport-future/.
27. Lee, Y.H., Jung, J.W., Lee, K.M., Vehicle routing scheduling for cross-docking in the supply chain. Computers & Industrial Engineering 51 (2006), 247–256.
28. Liao, C.-J., Lin, Y., Shih, S.C., Vehicle routing with cross-docking in the supply chain. Expert Systems with Applications 37 (2010), 6868–6873.
29. Lim, A., Ma, H., Miao, Z., Truckdockassignment problem with time windows and capacity constraintintransshipmentnetworkthroughcross docks. Computational science and its applications-ICCSA 2006. LectureNotes in Computer Science, 3982, 2006, 688–697.
30. Mavrotas, G., Effective implementation of the Ɛ-constraint method in multi-objective mathematical programming problems. Applied Mathematics and Computation 213 (2009), 455–465.
31. Mousavi, S.M., Tavakkoli-Moghaddam, R., A hybrid simulated annealing algorithm for location and routing scheduling problems with cross-docking in the supply chain. Journal of Manufacturing Systems 32 (2013), 335–347.
32. Mousavi, S.M., Tavakkoli-Moghaddam, R., Jolai, F., A possibilistic programming approach for the location problem of multiple cross-docks and vehicle routing. Engineering Optical 45 (2013), 1223–1249.
33. Mousavi, S.M., Tavakkoli-Moghaddam, R., Vahdani, B., Hashemi, H., Location of cross–docking centers and vehicle routing scheduling under uncertainty: A fuzzy possibilistic–stochastic programming model. Applied Mathematical Modelling 38 (2014), 2249–2264.
34. Petrovic, O., Harnisch, M.J., Puchleitner, T., Research on mobile communication systems in last-mile logistics to create an end-to-end information flow. International Journal of Services and Operations Management 19:2 (2014), 172–190.
35. Ross, A., Jayaraman, V., An evaluation of new heuristics for the location of cross-docks distribution centers in supply chain network design. Computers & Industrial Engineering 55 (2008), 64–79.
36. Santos, F.A., Mateus, G.R., Salles da Cunha, A., A branch-and-price algorithm for a vehicle routing problem with cross-docking. Electronic Notes in Discrete Mathematics 37 (2011), 249–254.
37. Shakeri, M., Low, M.Y.H., Li, Z., A generic model for crossdock truck scheduling and truck-to-door assignment problems. Proceedings of the sixth IEEE international conference on industrial informatics (INDIN 2008), 2008, 857–864.
38. Shakeri, M., Low, M., Turner, S.J., Lee, E.W., A robust two-phase heuristic algorithm for the truck scheduling problem in a resource-constrained crossdock. Computers and Operations Research 39 (2012), 2564–2577.
39. Tavana,M.,Abtahi, A.-R., Khalili-Damghani, K., A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problems. Expert Systems with Applications 41 (2014), 1830–1846.
40. Tavana, M., Khalili-Damghani, K., Abtahi, A-R., A new variant of fuzzy multi-choice knapsack for project selection problem. Annals of Operations Research 206 (2013), 449–483.
41. Thiels, C.A., Aho, J.M., Zietlow, S.P., Jenkins, D.H., Use of unmanned aerial vehicles for medical product transport. Air Medical Journal 34:2 (2015), 104–108.
42. Vahdani, B., Zandieh, M., Scheduling trucks in cross-docking systems: Robust meta-heuristics. Computers & Industrial Engineering 58:1 (2010), 12–24.
43. Van Belle, J., Valckenaers, P., Cattrysse, D., Cross-docking: State of the art. Omega 40 (2012), 827–846.
44. Wang, D., The economics of drone delivery. IEEE Spectrum, 2016 (5 Ja) http://spectrum.ieee.org/automaton/robotics/drones/the-economics-of-drone-delivery.
45. Yu, W., Egbelu, P.J., Scheduling of inbound and outbound trucks in cross docking systems with temporary storage. European Journal of Operational Research 184:1 (2008), 377–396.