Improving delivery planning via an optimization technique for a case study of a construction material store

References

• Abdulkader, M. M. S., Gajpal, Y., & ElMekkawy, T. Y. (2018). Vehicle routing problem in omni-channel retailing distribution systems. International Journal of Production Economics, 196, 43–14. https://doi.org/10.1016/j.ijpe.2017.11.011
   Web of Science ®Google Scholar
• Aganis, S., & Sirawadee, A. (2019). Vehicle routing problem with split delivery and heterogeneous fleet using differential evolution method: A case study of beverage logistics company. KMUTT Research and Development Journal, 42, 142–159.
   Google Scholar
• Alesiani, F., Ermis, G., & Gkiotsalitis, K. (2022). Constrained clustering for the Capacitated Vehicle Routing Problem (CC-CVRP). Applied Artificial Intelligence, 36(1), 1–25. https://doi.org/10.1080/08839514.2021.1995658
   Web of Science ®Google Scholar
• Al-Werikat, G. (2017). Supply chain management in construction revealed. International Journal of Scientific & Technology Research, 6(3), 106–110.
   Google Scholar
• Ardliana, T., Pujawan, I. N., Siswanto, N., & Peng, T. (2022). A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission. Cogent Engineering, 9(1), 2044589. https://doi.org/10.1080/23311916.2022.2044589
   Web of Science ®Google Scholar
• Ayyildiz, E., Şahin, M. C., & Taşkin, A. (2022). A multi depot multi product split delivery vehicle routing problem with time windows: A real cash in transit problem application in Istanbul, Turkey. Journal of Transportation and Logistics, 7(2), 213–232. https://doi.org/10.26650/JTL.2022.1113726
   Google Scholar
• Basuki, M., Hidayat, M. J., Aji, F. B., & Aji, F. B. Application of saving matrix methods and cross entropy for capacitated vehicle routing problem (CVRP) resolving. (2019). IOP Conference Series: Materials Science & Engineering, 462(1), 012025. IOP Publishing. https://doi.org/10.1088/1757-899X/462/1/012025
   Google Scholar
• Biswas, P., & Sarker, B. (2020). Operational planning of supply chains in a production and distribution center with just-in-time delivery. Journal of Industrial Engineering & Management, 13(2), 332–351. https://doi.org/10.3926/jiem.3046
   Google Scholar
• Bortfeldt, A., & Yi, J. (2020). The split delivery vehicle routing problem with three-dimensional loading constraints. European Journal of Operational Research, 282(2), 545–558. https://doi.org/10.1016/j.ejor.2019.09.024
   Web of Science ®Google Scholar
• Chaiwuttisak, P., Sukka, K., Sawasdee, C., Daengsai, W., Buathong, S., & Warachan, B. (2018). Vehicle routing problem for construction materials. The Journal of King Mongkut’s University of Technology North Bangkok, 28(2), 427–438. https://doi.org/10.14416/j.kmutnb.2018.03.014
   Google Scholar
• Dellaert, N., Van Woensel, T., Crainic, T. G., & Saridarq, F. D. (2021). A multi-commodity two-Echelon capacitated vehicle routing problem with time windows: Model formulations and solution approach. Computers & Operations Research, 127, 105154. https://doi.org/10.1016/j.cor.2020.105154
   Web of Science ®Google Scholar
• Donmuen, M., & Pitiruek, K. (2022). The mathematical models as a decision support tool for the oil transportation business: A case study of an oil business in Thailand. Cogent Engineering, 9(1), 2145680. https://doi.org/10.1080/23311916.2022.2145680
   Web of Science ®Google Scholar
• Gupta, S., Haq, A., Ali, I., & Sarkar, B. (2021). Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment. Complex & Intelligent Systems, 7(4), 2119–2139. https://doi.org/10.1007/s40747-021-00326-9
   Web of Science ®Google Scholar
• Haq, A., Gupta, S., & Ahmed, A. (2021). A multi-criteria fuzzy neutrosophic decision-making model for solving the supply chain network problem. Neutrosophic Sets and Systems, 46, 50–66. https://doi.org/10.5281/zenodo.5553476
   Google Scholar
• Ibrahim, A. A., Lo, N., Abdulaziz, R. O., & Ishaya, J. A. (2019). Capacitated vehicle routing problem. International Journal of Research - Granthaalayah, 7(3), 310–327. https://doi.org/10.29121/granthaalayah.v7.i3.2019.976
   Google Scholar
• Li, Y., Yang, J., & Wang, Y. (2023). Optimization and system implementation of fuzzy integrated algorithm model for logistics supply chain under supply and demand uncertainty background. Neural Computing and Applications, 35(6), 4295–4305. https://doi.org/10.1007/s00521-022-07135-2
   Web of Science ®Google Scholar
• Mula, J., Peidro, D., Díaz-Madroñero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204(3), 377–390. https://doi.org/10.1016/j.ejor.2009.09.008
   Web of Science ®Google Scholar
• Munari, P., & Savelsbergh, M. (2022). Compact formulations for split delivery routing problems. Transportation Science, 56(4), 1022–1043. https://doi.org/10.1287/trsc.2021.1106
   Web of Science ®Google Scholar
• Munyimi, T. F., & Guo, J. (2019). The role of procurement specifications in curbing wrong deliveries of construction materials in the construction sector in Zimbabwe. Cogent Engineering, 6(1), 1631542. https://doi.org/10.1080/23311916.2019.1631542
   Web of Science ®Google Scholar
• Naclerio, A. G., & De Giovanni, P. (2022). Blockchain, logistics and omnichannel for last mile and performance. The International Journal of Logistics Management, 33(2), 663–686. https://doi.org/10.1108/IJLM-08-2021-0415
   Web of Science ®Google Scholar
• Ozbaygin, G., Karasan, O., & Yaman, H. (2018). New exact solution approaches for the split delivery vehicle routing problem. EURO Journal on Computational Optimization, 6(1), 85–115. https://doi.org/10.1007/s13675-017-0089-z
   Web of Science ®Google Scholar
• Ray, S., Soeanu, A., Berger, J., & Debbabi, M. (2014). The multi-depot split-delivery vehicle routing problem: Model and solution algorithm. Knowledge-Based Systems, 71, 238–265. https://doi.org/10.1016/j.knosys.2014.08.006
   Web of Science ®Google Scholar
• Richey, R. G., Roath, A. S., Adams, F. G., & Wieland, A. (2022). A responsiveness view of logistics and supply chain management. Journal of Business Logistics, 43(1), 62–91. https://doi.org/10.1111/jbl.12290
   Web of Science ®Google Scholar
• Sabri, E. H., & Beamon, B. M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega, 28(5), 581–598. https://doi.org/10.1016/S0305-0483(99)00080-8
   Web of Science ®Google Scholar
• Setiawan, F., Masruroh, N. A., & Pramuditha, Z. I. (2019). On modelling and solving heterogeneous vehicle routing problem with multi-trips and multi-products. Jurnal Teknik Industri, 21(2), 91–104. https://doi.org/10.9744/jti.21.2.91-104
   Google Scholar
• Siriruk, P., & Tangmo, Y. (2017, April). Heterogeneous fleet vehicle routing problem for retail construction material stores. In 2017 4th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 234–238). IEEE. https://doi.org/10.1109/IEA.2017.7939213
   Google Scholar
• Tavakkoli, M. R., Raziei, Z., & Tabrizian, S. (2015). Solving a bi-objective multi-product vehicle routing problem with heterogeneous fleets under an uncertainty condition. International Journal of Transportation Engineering, 3(3), 207–225.
   Google Scholar
• Utama, D. M., Dewi, S. K., Wahid, A., Santoso, I., & Pham, D. (2020). The vehicle routing problem for perishable goods: A systematic review. Cogent Engineering, 7(1), 1816148. https://doi.org/10.1080/23311916.2020.1816148
   Web of Science ®Google Scholar
• van der Vorst, J. G. (2000). Effective food supply chains: Generating, modelling and evaluating supply chain scenarios. Wageningen University and Research.
   Google Scholar
• Van Nguyen, T., Cong Pham, H., Nhat Nguyen, M., Zhou, L., & Akbari, M. (2023). Data-driven review of blockchain applications in supply chain management: Key research themes and future directions. International Journal of Production Research, 1–23. https://doi.org/10.1080/00207543.2023.2165190
   Web of Science ®Google Scholar
• Vukić, L., Stazić, L., Pijaca, M., Peronja, I., & Peng, T. (2021). Modelling the optimal delivery of spare parts to vessels: Comparison of three different scenarios. Cogent Engineering, 8(1), 1920565. https://doi.org/10.1080/23311916.2021.1920565
   Web of Science ®Google Scholar
• Wang, S., Liu, M., & Chu, F. (2020). Approximate and exact algorithms for an energy minimization traveling salesman problem. Journal of Cleaner Production, 249, 119433. https://doi.org/10.1016/j.jclepro.2019.119433
   Web of Science ®Google Scholar
• Weerakkody, H. D. W., Niwunhella, D. H. H., & Wijayanayake, A. N. (2021). Solution approach to incompatibility of products in a multi-product and heterogeneous vehicle routing problem: An application in the 3PL industry. In 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 4, pp. 149–153). IEEE. https://doi.org/10.1109/SCSE53661.2021.9568362
   Google Scholar
• Yuliza, E., Puspita, F. M., Yahdin, S., & Emiliya, R. (2020). Solving capacitated vehicle routing problem using of Clarke and Wright algorithm and LINGO in LPG distribution. Journal of Physics Conference Series, 1663(1), 012027. IOP Publishing https://iopscience.iop.org/article/10.1088/1742-6596/1663/1/012027/meta
   Google Scholar