Search Results - subject:"Timetabling Problem"

A novel mathematical model for the scheduling of a zero inventory production : an application of process scheduling in fog computing

Sharifi, Mani; Taghipour, Sharareh; Abhari, Abdolreza; … - In: Computers & operations research : an international journal 185 (2026), pp. 1-19

Persistent link: https://www.econbiz.de/10015534415

Modeling and algorithm for job shop scheduling with batch operations in semiconductor fabs

Ma, Wen; Jiang, Gedong; Sun, Nuogang; Min, Chaoqing; … - In: Computers & operations research : an international journal 185 (2026), pp. 1-14

Persistent link: https://www.econbiz.de/10015534429

A Q-learning-based multi-objective hyper-heuristic algorithm for energy-efficient integrated distributed hybrid flow-shop scheduling with preventive maintenance

Zhang, Zi-Qi; Wu, Xin-Yun; Qian, Bin; Hu, Rong; Yang, … - In: Computers & operations research : an international journal 185 (2026), pp. 1-39

Persistent link: https://www.econbiz.de/10015534489

Retail labor scheduling and the potential role of AI

Raman, Ananth; Kwon, Caleb - In: AI in supply chains : perspectives from global thought …, (pp. 207-219). 2026

Persistent link: https://www.econbiz.de/10015637975

Advanced metaheuristics for scheduling in distributed manufacturing systems

Aqil, Said (ed.); Lahby, Mohamed (ed.) - 2026

Persistent link: https://www.econbiz.de/10015582596

A balanced scheduling method for multi-threaded tasks based on two-level parallelism between clusters and big data clustering

Yang, Xian; Huang, Jue; Zhao, Yun; Tong, Hui; Chen, Shibing - In: International journal of information technology and … 25 (2026) 1, pp. 30-45

Persistent link: https://www.econbiz.de/10015640337

Order picking problem : a model for the joint optimisation of order batching, batch assignment sequencing, and picking routing

Coruzzolo, Antonio Maria; Lolli, Francesco; Balugani, Elia - In: Logistics 7 (2023) 3, pp. 1-18

Background: Order picking is a critical activity in end-product warehouses, particularly using the picker-to-part system, entail substantial manual labor, representing approximately 60% of warehouse work. Methods: This study develops a new linear model to perform batching, which allows for...

Persistent link: https://www.econbiz.de/10014414060

Combining machine learning and optimization for the operational patient-bed assignment problem

Schäfer, Fabian; Walther, Manuel; Grimm, Dominik; … - In: Health care management science : a new journal serving … 26 (2023) 4, pp. 785-806

Persistent link: https://www.econbiz.de/10015079830

Research on short-term joint optimization scheduling strategy for hydro-wind-solar hybrid systems considering uncertainty in renewable energy generation

Li, Fugang; Chen, Shijun; Ju, Chengqian; Zhang, Xinshuo; … - In: Energy strategy reviews 50 (2023), pp. 1-17

Due to its randomness, intermittence, and volatility, the high-proportional integration of wind and solar power poses challenges to the safe and stable operation of power systems. Cascade hydropower stations have a high response speed, high adjustability, and stable output. This study proposed a...

Persistent link: https://www.econbiz.de/10014575188

Optimal stochastic scheduling in residential micro energy grids considering pumped-storage unit and demand response

Wang, Gang; Gao, Yongli; Feng, Jiayin; Song, Jinling; … - In: Energy strategy reviews 49 (2023), pp. 1-19

Improving energy efficiency, production costs, greenhouse gas emissions, and reliability are some of the most important problems in the energy industry. Energy storage systems and demand-side management (DSM) programs are among the existing solutions for removing such problems. This study...

Persistent link: https://www.econbiz.de/10014546997