Search Results - subject:"Production Control"

Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

Paschko, Felix; Krini, Abderrahim; Knorn, Steffi - In: Journal of Remanufacturing 16 (2026) 1

–assembly system that impact operational performance. A remanufacturing production control model is developed to coordinate the … demonstrate that the decentralised RL-based production control system outperforms conventional heuristics, achieving an average …

Persistent link: https://www.econbiz.de/10015616808

Energy-aware flexible job shop scheduling problem with nonlinear routes and position-based learning effect

Birgin, Ernesto G.; Riveaux, José Angel; Ronconi, … - In: International transactions in operational research : a … 33 (2026) 2, pp. 860-891

Persistent link: https://www.econbiz.de/10015482797

Minimizing the weighted number of tardy jobs : data-driven heuristic for single-machine scheduling

Antonov, Nikolai; Šůcha, Přemysl; Janota, Mikoláš; … - In: Computers & operations research : an international journal 185 (2026), pp. 1-13

Persistent link: https://www.econbiz.de/10015534438

A batch scheduling model on unrelated parallel machines with resource constraints and sequence-dependent setup time to minimize total actual flow time

Yusriski, Rinto; Nasution, Andri Rachmat Kumalasian; … - In: Journal of industrial engineering and management : JIEM 19 (2026) 1, pp. 58-81

Findings: The proposed algorithm achieves an average efficiency of 99.32% compared to the enumeration algorithm, with minimal deviation (0.4%). The results validate the main proposition for efficient scheduling, including prioritizing jobs based on due dates, allocating job demands based on...

Persistent link: https://www.econbiz.de/10015627286

Enhancing the POLCA production control system by indirect load

Gómez Paredes, Fernando José; Godinho Filho, Moacir; … - In: International journal of services and operations … 53 (2026) 2, pp. 158-186

Persistent link: https://www.econbiz.de/10015632347

Workforce rostering for decentrally controlled production systems : a simulation-based optimization framework using a genetic algorithm

Schwemmer, Julia; Günsel, Christian; Kühn, Mathias; … - In: Logistics research 16 (2023) 1, pp. 1-26

Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to the fast and flexible …

Persistent link: https://www.econbiz.de/10014514933

Robust condition-based production and maintenance planning for degradation management

Sun, Qiuzhuang; Chen, Piao; Wang, Xin; Ye, Zhi-Sheng - In: Production and operations management : the flagship … 32 (2023) 12, pp. 3951-3967

Persistent link: https://www.econbiz.de/10014441437

Dual-resource flexible job shop scheduling considering worker proficiency differences

Wang, Chuang; Fan, Di; Liu, Yang; Ren, Shan; Wang, Jin - In: Computers & operations research : an international journal 184 (2025), pp. 1-15

Persistent link: https://www.econbiz.de/10015481661

Flow shop scheduling with inter-stage flexibility and blocking constraints

Nicosia, Gaia; Pacifici, Andrea; Pferschy, Ulrich; … - In: Computers & operations research : an international journal 184 (2025), pp. 1-20

Persistent link: https://www.econbiz.de/10015519598

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Zhang, Wenqiang; Bao, Xuan; Geng, Huili; Zhang, Guohui; … - In: Computers & operations research : an international journal 183 (2025), pp. 1-16

Persistent link: https://www.econbiz.de/10015460127