We consider a capacity expansion problem for a railway network under uncertainty. In our approach, integer and stochastic programming provide a basic framework. We develop a multistage stochastic programming model in which some of the variables are restricted to integer values. Given the distribution of the number of customers in a scenario, the problem of minimizing the expected value of the total investment cost is considered. The problem is reformulated as a problem with first stage integer variables and continuous second stage variables. An L-shaped algorithm is proposed to solve this problem.
|ジャーナル||Journal of Advanced Mechanical Design, Systems and Manufacturing|
|出版ステータス||Published - 2018|
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering