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All Journal JIK Jurnal Ilmu Komputer Journal of Engineering and Technological Sciences JRSI (Jurnal Rekayasa Sistem dan Industri) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Journal of Robotics and Control (JRC)
Abdul Hakim Halim
Fakultas Teknologi Industri, KK Sistem Manufaktur, Institut Teknologi Bandung
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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A Model of Proactive-Reactive Job Shop Scheduling to Tackle Uncertain Events with Greedy Randomized Adaptive Search Procedure Nisar, Muhammad Usman; Ma'ruf, Anas; Cakravastia, Andi; Halim, Abdul Hakim
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.22208

Abstract

Despite substantial research on job shop scheduling (JSS), there is a gap owing to the lack of a unified framework that considers exact, heuristic, and metaheuristic methods for JSS. This study addressed this gap by presenting a comprehensive approach. The study offered following contributions in this regard: analyzed the exact optimization method for benchmarking, investigated a greedy algorithm (G_r A) for faster solutions, and implemented a novel Greedy Randomized Adaptive Search Procedure (GRASP) to achieve high-quality solutions with computational effectiveness. Additionally, this study considered serious dynamic events (SDE) such as new job arrivals (NJA), rush order (RO), machine failures (MF), and scheduled machine maintenance (SMM), as scheduling disruptions and proposed a proactive-reactive rescheduling strategy, with right-shift (RF) and regeneration (Reg) methods using a hybrid (periodic and event-driven) policy to tackle them. Results showed that the exact methods are optimal but computationally intensive, G_r A are faster but suboptimal, and GRASP strike a balance, delivering high-quality solutions with only a 3.43% gap from exact methods while maintaining computational efficiency. Additionally, RF method effectively handled MF, while Reg efficiently integrated NJA, RO, and SMM. Overall, this study offered a comprehensive approach to JSS, enhancing applicability in manufacturing environments.
Co-Authors Andi Cakravastia Bermawi P. Iskandar Bermawi P. Iskandar Endang Prasetyaningsih Hidayat, Nita P.A Ma'ruf, Anas Murni Dwi Astuti Nisar, Muhammad Usman Nita P.A Hidayat Samadhi, T.M.A. Ari Sukoyo Sukoyo Suprayogi . Suprayogi . Suprayogi Suprayogi Suprayogi, Suprayogi T.M.A Ari Samadhi T.M.A Ari Samadhi, T.M.A Ari T.M.A. Ari Samadhi TMA Ari Samadhi TMA Ari Samadhi TMA Ari Samadhi Zahedi .