Article ID: | iaor20163374 |
Volume: | 25 |
Issue: | 10 |
Start Page Number: | 1658 |
End Page Number: | 1672 |
Publication Date: | Oct 2016 |
Journal: | Production and Operations Management |
Authors: | Gao Long, Luo Ting, Akay Yalin |
Keywords: | management, supply & supply chains, forecasting: applications, demand, stochastic processes, simulation |
We study a joint capacity leasing and demand acceptance problem in intermodal transportation. The model features multiple sources of evolving supply and demand, and endogenizes the interplay of three levers–forecasting, leasing, and demand acceptance. We characterize the optimal policy, and show how dynamic forecasting coordinates leasing and acceptance. We find (i) the value of dynamic forecasting depends critically on scarcity, stochasticity, and volatility; (ii) traditional mean‐value equivalence approach performs poorly in volatile intermodal context; (iii) mean‐value‐based forecast may outperform stationary distribution‐based forecast. Our work enriches revenue management models and applications. It advances our understanding on when and how to use dynamic forecasting in intermodal revenue management.