PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A Mathematical Model for the Vehicles Routing Problem with Multiple Depots, Considering the Possibility of Return Using the Tabu Search Algorithm

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The current study examines an essential type of vehicle routing problem (VRP). This type is one where customers are served by limited-capacity vehicles from multiple depots and is known as Multi-Depot Capacitated Vehicle Routing Problem (MDCVRP). The novelty of this study is that in the present case, cars, after Leaving the Depot, can go back to any other depot. Those issues seem to occur in most real-world issues where information, messages, or news are sent electronically from somewhere. The purpose of the problem is to minimize the costs associated with routing. Regarding the literature on such issues, it has been proven in previous studies and research that these problems are among the hard-NP problems, and to solve them using the metaheuristic method, the exact methods justify it. After changing the basic model, this study developed a Tabu Search (TS) algorithm. The study results demonstrate that if the equipment can return to any depot, the cost is significantly reduced in contrast to the case where equipment is forced to return to their depot.
Rocznik
Strony
359--370
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
  • School of Accounting, Jiujiang University, Qianjin Donglu, Jiangxi, China
  • GLA University, Mathura, India
  • Department of Mathematics, Panimalar Institute of Technology Poonamallee Chennai, Chennai, India
  • Graduate School Department, Cebu Technological University, Moalboal, Philippines
autor
  • Universitas Hamzanwadi, Indonesia
  • Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq
  • Public Health Department, Faculty of Health Science, University of Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia
  • Al-Nisour University College, Baghdad, Iraq
  • Department of Pharmacology, Saveetha dental College and hospital, Saveetha institute of medical and technical sciences, Chennai, India
Bibliografia
  • [1] Alinaghian M., Tirkolaee E.B., Dezaki Z.K., Hejazi S.R., Ding W., An augmented Tabu search algorithm for the green inventory-routing problem with time windows, Swarm and Evolutionary Computation, 60, 2021, 100802.
  • [2] Asghari M., Al-e S. M.J.M., Green vehicle routing problem: a state-of-the-art review, International Journal of Production Economics, 231, 2021, 107899.
  • [3] Behnke M., Kirschstein T., Bierwirth C., A column generation approach for an emission-oriented vehicle routing problem on a multigraph, European Journal of Operational Research, 288, 3, 2021, 794-809.
  • [4] Escobar J., Duque J., García-Cáceres R., A granular tabu search for the refrigerated vehicle routing problem with homogeneous fleet, International Journal of Industrial Engineering Computations, 13, 1, 2022, 135-150.
  • [5] Cordeau J.F., Gendreau M., Laporte G., A tabu search heuristic for periodic and multi‐depot vehicle routing problems, Networks: An International Journal, 30, 2, 1997, 105-119.
  • [6] Gendreau M., Hertz A., Laporte G., A tabu search heuristic for the vehicle routing problem, Management science, 40, 10, 1994, 1276-1290.
  • [7] Gillett B.E., Miller L.R., A heuristic algorithm for the vehicle-dispatch problem, Operations research, 22, 2, 1974, 340-349.
  • [8] Goli A., Malmir B., A covering tour approach for disaster relief locating and routing with fuzzy demand, International Journal of Intelligent Transportation Systems Research, 18, 1, 2020, 140-152.
  • [9] Hadjiconstantinou E., Christofides N., Mingozzi A., A new exact algorithm for the vehicle routing problem based onq-paths andk-shortest paths relaxations, Annals of Operations Research, 61,1, 1995, 21-43.
  • [10] Kusuma P.D., Kallista M., Multi-depot capacitated vehicle routing problem by using stable marriage and K-means clustering to minimize number of unserved customers and total travel distance, International Journal of Intelligent Engineering and Systems, 14, 6, 2021, 605-615.
  • [11] Laporte G., Louveaux F.V., Solving stochastic routing problems with the integer L-shaped method, In Fleet management and logistics (pp. 159-167). Springer, Boston, MA. 1998.
  • [12] Li Y., Soleimani H., Zohal M., An improved ant colony optimization algorithm for the multi-depot green vehicle routing problem with multiple objectives, Journal of cleaner production, 227, 2019, 1161-1172.
  • [13] Matkivskyi S., Burachok O., Impact of reservoir heterogeneity on the control of water encroachment into gas-condensate reservoirs during CO injection, Management Systems in Production Engineering, 30,1, 2022, 62-68.
  • [14] Mojtahedi M., Fathollahi-Fard A.M., Tavakkoli-Moghaddam R., Newton S., Sustainable vehicle routing problem for coordinated solid waste management, Journal of Industrial Information Integration, 23, 2021, 100220.
  • [15] Niranjani G., Umamaheswari K., Minimization of sustainable-cost using tabu search for single depot heterogeneous vehicle routing problem with time windows, Wireless Personal Communications, 126, 2, 2022, 1-34.
  • [16] Paul A., Kumar R.S., Rout C., Goswami, A., Designing a multi-depot multi-period vehicle routing problem with time window: hybridization of tabu search and variable neighbourhood search algorithm, Sādhanā, 46, 3, 2021, 1-11.
  • [17] Pisinger D., Ropke S., A general heuristic for vehicle routing problems, Computers & operations research, 34, 8, 2007, 2403-2435.
  • [18] Sacramento D., Pisinger D., Ropke S., An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones, Transportation Research Part C: Emerging Technologies, 102, 2019, 289-315.
  • [19] Schermer D., Moeini M., Wendt O., A hybrid VNS/Tabu search algorithm for solving the vehicle routing problem with drones and en route operations, Computers & Operations Research, 109, 2019, 134-158.
  • [20] Singh V.P., Sharma K., Chakraborty D., A Branch-and-Bound-based solution method for solving vehicle routing problem with fuzzy stochastic demands, Sādhanā, 46, 4, 2021, 1-17.
  • [21] Theurich F., Fischer A., Scheithauer G., A branch-and-bound approach for a vehicle routing problem with customer costs, EURO Journal on Computational Optimization, 9, 2021, 100003.
  • [22] Toth P., Vigo D. (Eds.), The vehicle routing problem. Society for Industrial and Applied Mathematics. 2002.
  • [23] Vigo D., A heuristic algorithm for the asymmetric capacitated vehicle routing problem, European Journal of Operational Research, 89,1, 1996, 108-126.
  • [24] Zhang H., Ge, H., Yang J., Tong Y., Review of vehicle routing problems: models, classification and solving algorithms, Archives of Computational Methods in Engineering, 29, 1, 2022, 195-221.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d092ac99-e22d-4356-93d3-40f506ee68bf
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.