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Articles

A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach

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Pages 69-83 | Received 08 Dec 2019, Accepted 13 Aug 2020, Published online: 02 Oct 2020

References

  • AbdAllah, A. M. F. M. , Essam, D. L. , & Sarker, R. A. (2017, June). On solving periodic re-optimization dynamic vehicle routing problems. Applied Soft Computing , 55 , 1–12. doi: 10.1016/j.asoc.2017.01.047
  • Abdirad, M. , & Krishnan, K. (2020). Industry 4.0 in logistics and supply chain management: A systematic literature review. EMJ - Engineering Management Journal .
  • Armengaud, E. , Sams, C. , von Falck, G. , List, G. , Kreiner, C. , & Riel, A. (2017). Industry 4.0 as digitalization over the entire product lifecycle: Opportunities in the automotive domain. In Systems, software and services process improvement - 24th european conference, EuroSPI 2017, Proceedings (Vol. 748, pp. 334–351). Springer Verlag.
  • Barata, J. , Rupino Da Cunha, P. , & Stal, J. (2018). Mobile supply chain management in the Industry 4.0 era: An annotated bibliography and guide for future research. Journal of Enterprise Information Management , 31 (1), 173–192. doi: 10.1108/JEIM-09-2016-0156
  • Barreto, L. , Amaral, A. , & Pereira, T. (2017, January). Industry 4.0 implications in logistics: An overview. Procedia Manufacturing , 13 , 1245–1252. doi: 10.1016/j.promfg.2017.09.045
  • Braekers, K. , Ramaekers, K. , & Van Nieuwenhuyse, I. (2016). The vehicle routing problem: State of the art classification and review.
  • Chen, H. (2017, September). Theoretical foundations for cyber-physical systems: A literature review. Journal of Industrial Integration and Management , 2 (3), 1750013. doi: 10.1142/S2424862217500130
  • Chen, S. , Chen, R. , Gao, J. , Chen, S. , Chen, R. , & Gao, J. (2017, September). A monarch butterfly optimization for the dynamic vehicle routing problem. Algorithms , 10 (3), 107. doi: 10.3390/a10030107
  • Dantzig, G. B. , & Ramser, J. H. (1959, October). The truck dispatching problem. Management Science , 6 (1), 80–91. doi: 10.1287/mnsc.6.1.80
  • Desaulniers, G. (2010, February). Branch-and-price-and-cut for the split-delivery vehicle routing problem with time windows. Operations Research , 58 (1), 179–192. doi: 10.1287/opre.1090.0713
  • Dror, M. , & Trudeau, P. (1986). Stochastic vehicle routing with modified savings algorithm. European Journal of Operational Research , 23 (2), 228–235. doi: 10.1016/0377-2217(86)90242-0
  • Du, T. C. , Li, E. Y. , & Chou, D. (2005). Dynamic vehicle routing for online B2C delivery. Omega , 33 , 33–45. doi: 10.1016/j.omega.2004.03.005
  • Elhassania, M. , Jaouad, B. , & Ahmed, E. A. (2013). A new hybrid algorithm to solve the vehicle routing problem in the dynamic environment. International Journal of Soft Computing , 8 (5), 327–334.
  • Elhassania, M. , Jaouad, B. , & Ahmed, E. A. (2014). Solving the dynamic vehicle routing problem using genetic algorithms. In International Conference on Logistics Operations Management (pp. 62–69).
  • Gath, M. (2016). Dispatching problems in transport logistics. In Optimizing transport logistics processes with multiagent planning and control. Advanced studies mobile research center bremen . Wiesbaden : Springer Vieweg.
  • Gendreau, M. , Guertin, F. , Potvin, J.-Y. , & Séguin, R. (2006). Neighborhood search heuristics for a dynamic vehicle dispatching problem with pick-ups and deliveries. Transportation Research Part C: Emerging Technologies , 14 , 157–174. doi: 10.1016/j.trc.2006.03.002
  • Ghannadpour, S. F. , Noori, S. , & Tavakkoli-Moghaddam, R. (2014). A multi-objective vehicle routing and scheduling problem with uncertainty in customers’ request and priority. Journal of Combinatorial Optimization , 28 (2), 414–446. doi: 10.1007/s10878-012-9564-x
  • Gilchrist, A. (2016). Introducing industry 4.0. In Industry 4.0 . Berkeley : Apress.
  • Gürdür, D. , & Asplund, F. (2018). A systematic review to merge discourses: Interoperability, integration and cyber-physical systems. Journal of Industrial Information Integration , 9 (October), 14–23. doi: 10.1016/j.jii.2017.12.001
  • Hanshar, F. T. , & Ombuki-Berman, B. M. (2007, June). Dynamic vehicle routing using genetic algorithms. Applied Intelligence , 27 (1), 89–99. doi: 10.1007/s10489-006-0033-z
  • Hofmann, E. , & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry , 89 , 23–34. doi: 10.1016/j.compind.2017.04.002
  • Kamble, S. S. , Gunasekaran, A. , & Gawankar, S. A. (2018, July). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection , 117 , 408–425. doi: 10.1016/j.psep.2018.05.009
  • Kang, H. S. , Lee, J. Y. , Choi, S. , Kim, H. , Park, J. H. , Son, J. Y. , …  Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology , 3 (1), 111–128. doi: 10.1007/s40684-016-0015-5
  • Kayikci, Y. (2018, January). Sustainability impact of digitization in logistics. Procedia Manufacturing , 21 , 782–789. doi: 10.1016/j.promfg.2018.02.184
  • Kergosien, Y. , Lenté, C. , Piton, D. , & Billaut, J.-C. (2011, October). A tabu search heuristic for the dynamic transportation of patients between care units. European Journal of Operational Research , 214 (2), 442–452. doi: 10.1016/j.ejor.2011.04.033
  • Khouadjia, M. R. , Sarasola, B. , Alba, E. , Jourdan, L. , & Talbi, E.-G. (2012). A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests. Applied Soft Computing , 12 , 1426–1439. doi: 10.1016/j.asoc.2011.10.023
  • Li, L. (2018). China’s manufacturing locus in 2025: With a comparison of ‘Made-in-China 2025’ and ‘Industry 4.0’. Technological Forecasting and Social Change , 135 (February 2017), 66–74. doi: 10.1016/j.techfore.2017.05.028
  • Liao, Y. , Deschamps, F. , de Freitas Rocha Loures, E. , & Felipe Pierin Ramos, L. (2017). Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal. International Journal of Production Research , 55 (12), 3609–3629. doi: 10.1080/00207543.2017.1308576
  • Lopes de Sousa Jabbour, A. B. , Jabbour, C. J. C. , Godinho Filho, M. , & Roubaud, D. (2018). Industry 4.0 and the circular economy: A proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research , 270 , 273–286. doi: 10.1007/s10479-018-2772-8
  • Lu, Y. (2017, September). Cyber physical system (CPS)-based Industry 4.0: A survey. Journal of Industrial Integration and Management , 2 (3), 1750014. doi: 10.1142/S2424862217500142
  • Necula, R. , Breaban, M. , & Raschip, M. (2017). Tackling dynamic vehicle routing problem with time windows by means of ant colony system. In IEEE Congress on Evolutionary Computation (CEC) (pp. 2480–2487).
  • Novoa, C. , & Storer, R. (2009, July). An approximate dynamic programming approach for the vehicle routing problem with stochastic demands. European Journal of Operational Research , 196 (2), 509–515. doi: 10.1016/j.ejor.2008.03.023
  • Nurcahyo, G. W. , Alias, R. A. , & Shamsuddin, S. M. (2002). Sweep algorithm in vehicle routing problem for public transport. Jurnal Antarabangsa Teknologi Maklumat , 2 , 51–64.
  • Osaba, E. , Yang, X.-S. , Diaz, F. , Onieva, E. , Masegosa, A. D. , & Perallos, A. (2017). A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing , 21 , 5295–5308. doi: 10.1007/s00500-016-2114-1
  • Paprocki W. (2017). How transport and logistics operators can implement the solutions of “Industry 4.0”. In M. Suchanek (Ed.), Sustainable transport development, innovation and technology. TranSopot 2016. Springer proceedings in business and economics . Cham : Springer.
  • Pereira, A. C. , & Romero, F. (2017, January). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing , 13 , 1206–1214. doi: 10.1016/j.promfg.2017.09.032
  • Pillac, V. , Gendreau, M. , Guéret, C. , Medaglia, A. , Gú, C. , & Medaglia, A. L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research , 225 (1), 1–11. doi: 10.1016/j.ejor.2012.08.015
  • Psaraftis, H. N. (1980). A dynamic programming solution to the single vehicle many-to-many immediate request dial-a-ride problem. Transportation Science , 14 (2), 130–154. doi: 10.1287/trsc.14.2.130
  • Psaraftis, H. N. , Wen, M. , & Kontovas, C. A. (2016). Dynamic vehicle routing problems: Three decades and counting. Networks , 67 (1), 3–31. doi: 10.1002/net.21628
  • Rennung, F. , Luminosu, C. T. , & Draghici, A. (2016, June). Service provision in the framework of Industry 4.0. Procedia - Social and Behavioral Sciences , 221 , 372–377. doi: 10.1016/j.sbspro.2016.05.127
  • Rizzoli, A. E. , Montemanni, R. , Lucibello, E. , & Gambardella, L. M. (2007). Ant colony optimisation for vehicle routing problems: From theory to applications. Swarm Intelligence , 1 (2), 135–151. doi: 10.1007/s11721-007-0005-x
  • Ropke, S. , & Cordeau, J.-F. (2009, August). Branch and cut and price for the pickup and delivery problem with time windows. Transportation Science , 43 (3), 267–286. doi: 10.1287/trsc.1090.0272
  • Santos, C. , Mehrsai, A. , Barros, A. C. , Araújo, M. , & Ares, E. (2017). Towards Industry 4.0: An overview of European strategic roadmaps. Procedia Manufacturing , 13 , 972–979. doi: 10.1016/j.promfg.2017.09.093
  • Schmidt, R. , Möhring, M. , Härting, R.-C. , Reichstein, C. , Neumaier, P. , & Jozinović, P. (2015). Industry 4.0-potentials for creating smart products: Empirical research results. 18th International Conference on Business Information Systems , 208 , 16–27. doi: 10.1007/978-3-319-19027-3_2
  • Shrouf, F. , Ordieres, J. , & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. In IEEE International Conference on Industrial Engineering and Engineering Management (pp. 697–701).
  • Toth, P. , & Vigo, D. (2002, November). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics , 123 (1–3), 487–512. doi: 10.1016/S0166-218X(01)00351-1
  • Vaidya, S. , Ambad, P. , & Bhosle, S. (2018, January). Industry 4.0 – A Glimpse. Procedia Manufacturing , 20 , 233–238. doi: 10.1016/j.promfg.2018.02.034
  • Vladimirovich Sokolov, B. , Ivanov, D. , & Sokolov, B. (2017). Integrated scheduling of material flows and information services in Industry 4.0 supply networks. IFAC-Papers OnLine , 48 (3), 1533–1538. doi: 10.1016/j.ifacol.2015.06.304
  • Wilson, N. H. M. , & Colvin, N. J. (1977). Computer control of the Rochester Dial-A-Ride System . Cambridge : Massachusetts Institute of Technology, Center for Transportation Studies.
  • Xu, H. , Pu, P. , & Duan, F. (2018, February). Dynamic vehicle routing problems with enhanced ant colony optimization. Discrete Dynamics in Nature and Society , 2018 , 1–13.
  • Xu, L. , Xu, E. L. , & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research , 56 (8), 2941–2962. doi: 10.1080/00207543.2018.1444806
  • Yin, Y. , Stecke, K. E. , & Li, D. (2018). The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research , 56 , 848–861. doi: 10.1080/00207543.2017.1403664
  • Yli-Ojanperä, M. , Sierla, S. , Papakonstantinou, N. , & Vyatkin, V. (2019). Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study. Journal of Industrial Information Integration , 15 (November 2018), 147–160. doi: 10.1016/j.jii.2018.12.002
  • Zhang, C. , Xu, X. , & Chen, H. (2019, December). Theoretical foundations and applications of cyber-physical systems: A literature review. Library Hi Tech , 38 (1), 95–104. doi: 10.1108/LHT-11-2017-0230

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