Pratap, Saurabh ; Kumar B, Manoj ; Saxena, Divyanshu ; Tiwari, M.K. (2015) Integrated scheduling of rake and stockyard management with ship berthing: a block based evolutionary algorithm International Journal of Production Research, 54 (14). pp. 4182-4204. ISSN 0020-7543
Full text not available from this repository.
Official URL: https://doi.org/10.1080/00207543.2015.1111535
Related URL: http://dx.doi.org/10.1080/00207543.2015.1111535
Abstract
An integrated problem of optimising the operations at a commercial bulk material port terminal is studied in this paper. We simultaneously optimise the stockyard operations and rake schedule for outbound cargo, in conjunction with the arriving vessels and the status of the stockyards at the port. A mixed integer linear programming model for the problem is developed while incorporating the inherent complexities of the integrated model. To solve the real-life instances, two heuristic methods are proposed specifically for the considered problem. Firstly, genetic algorithm coupled with a greedy heuristic and later, block-based evolutionary algorithm (BBEA) is employed. After applying both techniques, we obtain the optimised schedule for loading of rakes and allotment of stockyard space for vessels as well as rakes at the terminal. Finally, we test the results of both models in three traffic scenarios between themselves and with real-life data from a port situated along the Eastern coast of India. The study resulted in significant reduction of turnaround time for rakes at the port terminal, which in turn lead to monetary savings. The model also automates the day to day operational decision-making at the port.
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to International Foundation for Production Research. |
Keywords: | Bulk material port; Block-based evolutionary algorithm; Genetic algorithm; Integrated scheduling; Rake scheduling; Stockyard management. |
ID Code: | 139730 |
Deposited On: | 28 Aug 2025 13:42 |
Last Modified: | 28 Aug 2025 13:42 |
Repository Staff Only: item control page