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Inland waterway transportation network significantly supports the overallfreight transportation of the nation. In order to ensure efficient and timelycommodity transportation through this network, this study aims at developing areliable inland waterway transportation network considering the interactionsbetween different transportation entities along with considering the uncertaincommodity supply and unpredictable waterway conditions over time. Acapacitated, multi-commodity, multi-period, stochastic, two-stage mixed-integerlinear programming (MILP) model is proposed to capture this stochastic, timevariant behavior of the water-depth along any link of the inland waterway underconsideration. Additionally, we proposed a parallelized hybrid decompositionalgorithm to solve the real-life test instances of this complex NP-hardproblem. The proposed algorithm is capable of producing high quality solutionswithin a reasonable amount of time. Further, a case study is demonstrated forthe Southeast region of the United States and a number of managerial insightsare drawn that magnifies the impact of different key input parameters on theoverall inland waterway transportation network under consideration.

Designing a Reliable Inland Waterway Transportation Network under Uncertainty