Solving inland container ship stowage planning problem on full route through a two-phase approach
by Jun Li; Yu Zhang; Sanyou Ji; Lanbo Zheng
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 12, No. 1/2, 2020

Abstract: Inland container ship emphasises capacity utilisation due to its limited capacity. Its stability is very sensitive to the stowage plan. The shipping line planners are under pressure to make efficient stowage plan on full route. This paper adopts a two-phase approach to separate the problem into two planning levels: multi-port master bay plan problem (MP-MBPP) on full route and slot plan problem (SPP) for each bay at each port. The mathematical models are proposed respectively for both sub-problems based on mixed integer programming. For each sub-problem, the greedy randomised adaptive search procedure (GRASP) and the heuristic evolutionary strategy (HES) algorithm are proposed, respectively. The grey entropy parallel analysis (GEPA) method is presented to guide HES in multi-objective optimisation. Experimental results based on real-world scenarios are presented to show the efficacy of proposed algorithms and method.

Online publication date: Mon, 16-Mar-2020

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