Abstract
Warehouse are utilized to store unrefined components, completed merchandise, flawed items, instruments, gear, and other organization resources until required. What's more, the distribution center is a warehouse and bundling of items conveyed to clients in buyer ventures. Preferably, capacity time, extra room, and conveyance times are decreased by further developing resource the executives. This study utilizes a mix of direct LP programming and dynamic techniques. The LP technique furnishes leaders with the complete number of items that may be put away in a stockroom in view of the different variables considered in this review. Furthermore, systems influencing the utilization of warehouse at full expense are obvious. An incorporated way to deal with the unpleasant insightful progressive cycle (AHP) and the complicated request determination process as a decent arrangement or harsh method for request inclination by comparability to the ideal arrangement TOPSIS is utilized to decide the better position of the range perfectly located. Also, this interaction distinguishes the capacity regions that should be redesigned in the utilization of the item stockpiling region. This approach will help numerous enterprises and transportation groups pursue informed choices and further develop efficiency.
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References
Al Amin, M., Das, A., Roy, S., Shikdar, M.I.: Warehouse selection problem solution by using proper MCDM process. Int. J. Sci. Qual. Anal. 5, 43–51 (2019)
Bao, L.G., Dang, T.G., Anh, N.D.: Storage assignment policy and route planning of AGVS in warehouse optimization. In: Proceedings of the 2019 International Conference on System Science and Engineering (ICSSE), Dong Hoi, Vietnam, 20–21 July, pp. 599–604 (2019)
Zuniga, C., Piera, M.A., Narciso, M.: Revisiting the pallet loading problem using a discrete event system approach to minimize logistic costs. Int. J. Prod. Res. 49(8), 2243–2264 (2011)
Fumi, A., Scarabotti, L., Schiraldi, M.M.: Minimizing warehouse space with a dedicated storage policy. Int. J. Eng. Bus. Manag. 5, 21 (2013)
Islam, R., Ali, S.M., Fathollahi-Fard, A.M., Kabir, G.: A novel particle swarm optimization-based grey model for the prediction of warehouse performance. J. Comput. Des. Eng. 8, 705–727 (2021)
Kordos, M., Boryczko, J., Blachnik, M., Golak, S.: Optimization of warehouse operations with genetic algorithms. Appl. Sci. 10, 4817 (2020)
Kusrini, E., Novendri, F., Helia, V.N.: Determining key performance indicators for warehouse performance measurement—a case study in construction materials warehouse. MATEC Web Conf. 154, 01058 (2018)
Sheng, L., Xiuqin, S., Changjian, C., Hongxia, Z., Dayong, S., Feiyue, W.: Heuristic algorithm for the container loading problem with multiple constraints. Comput. Ind. Eng. 108, 149–164 (2017)
Singh, M., Almasarwah, N., Süer, G.: A two-phase algorithm to solve a 3-dimensional pallet loading problem. Procedia Manuf. 39, 1474–1481 (2019)
PamÅcar, D., StevÃc, Ž, Zavadskas, E.K.: Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages. Appl. Soft Comput. 67, 141–163 (2018)
Sambasivam, V.P., Thiyagarajan, G., Kabir, G., Ali, S.M., Khan, S.A.R., Yu, Z.: Selection of winter season crop pattern for environmental-friendly agricultural practices in India. Sustainability 12, 4562 (2020)
Shetty, A., Vivekanad, V., Jain, A.: Optimizaiton of space utilizaiton of storage rack system for a garment industry using linear integer programming. Int. J. Eng. Res. Technol. 5, 715 (2016)
Song, W., Ming, X., Wu, Z., Zhu, B.: A rough TOPSIS approach for failure mode and effects analysis in uncertain environments. Qual. Reliab. Eng. Int. 30, 473–486 (2014)
StevÃc, Ž., Tanackov, I., VasiljevÃc, M., RikalovÃc, A.: Supplier evaluation criteria: AHP rough approach. In: Proceedings of the 17th International Scientific Conference on Industrial Systems, Novi Sad, Serbia, pp. 298–303 (2017)
Kumar, V.: A selective survey and direction on the software of reliability models. Int. J. Comput. Eng. Res. 2, 1060–1064 (2012)
Kumar, V., Kumar, A.: Analysis of measurement & the sensitivity for multi state system reliability with genetic algorithm approach (GAA). Int. J. Eng. Res. Technol. 1, 1–7 (2012)
Vasiljevic, M., Fazlollahtabar, H., Željko, S., VeskovÃc, S.: A rough multicriteria approach for evaluation of the supplier criteria in automotive industry. Decis. Mak. Appl. Manag. Eng. 1, 82–96 (2018)
Huang, Y.H., Hwang, F.J.: Global optimization for the three-dimensional open-dimension rectangular packing problem. Eng. Optim. 50(10), 1789–1809 (2018)
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Gupta, C., Kumar, V., Gola, K.K. (2023). Implementation Analysis for the Applications of Warehouse Model Under Linear Integer Problems. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-031-35507-3_24
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DOI: https://doi.org/10.1007/978-3-031-35507-3_24
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