Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control

  • Muhammad Faris Universitas Gadjah Mada
  • Ircham Ircham Institut Teknologi Nasional Yogyakarta
Keywords: Penjadwalan, rekayasa perkeretaapian, optimisasi, MIP, kendali prediktif

Abstract

This work addresses the development of Distributed Model Predictive Control (DMPC) approaches for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed optimization problem is solved using two different decomposition schemes: Alternating Direction Method of Multipliers (ADMM) and Distributed Robust Safe But Knowledgeable (DRSBK). The original distributed algorithms are modified to handle the non-convex nature of the optimization problem, hence improving the solution quality. The results of large-scale test instances show that DRSBK can outperform the conventional centralized approach and ADMM, by providing the closest-to-optimum solution while requiring the least computation time.

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Published
2019-05-31
How to Cite
Muhammad Faris, & Ircham Ircham. (2019). Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 8(2), 188-195. Retrieved from https://jurnal.ugm.ac.id/v3/JNTETI/article/view/2603
Section
Articles