Results 11 to 20 of about 1,592,073 (194)
Datasets for lot sizing and scheduling problems in the fruit-based beverage production process
Data in Brief, 2021 The datasets presented here were partially used in “Formulation and MIP-heuristics for the lot sizing and scheduling problem with temporal cleanings” (Toscano, A., Ferreira, D., Morabito, R., Computers & Chemical Engineering) [1], in “A ...
Juan Piñeros +3 more
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Research on deep reinforcement learning based intelligent shop scheduling method
物联网学报, 2022 The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible ...
Zihui LUO +4 more
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Automated organization production and mounting of glass curtain walls [PDF]
Инженерно-строительный журнал, 2013 At present the automation of organizational design and organizational preparation of building production is based mainly on the outdated methods. Solution of this requires the development of effective methods of technical regulation and construction ...
M.M. Kalyuzhnyuk, A.V. Kalyuzhnyuk
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Processes, 2023 Smart factories have attracted a lot of attention from scholars for intelligent scheduling problems due to the complexity and dynamics of their production processes.
Zhong Yang, Li Bi, Xiaogang Jiao
semanticscholar +1 more source
Agent-based dynamic scheduling model for product-driven production
Brazilian Journal of Operations & Production Management, 2020 Goal: This research provides specific solution for dynamic scheduling of product-driven production with unique level of detail and original architecture. Design / Methodology / Approach: Design process of scheduling problem-solving MAS is divided into
João Thiago de G. A. A. Campos +3 more
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Robust Self-Scheduling of Operational Processes for Industrial Demand Response Aggregators
IEEE transactions on industrial electronics (1982. Print), 2020 This paper proposes a novel structure for industrial demand response aggregators (IDRAs) to provide operational flexibility for the power system. A robust self-scheduling approach is formulated for the first time to optimize different sub-processes of ...
Hessam Golmohamadi +4 more
semanticscholar +1 more source
Journal of the Operational Research Society, 2023 Steel-making and continuous casting (SCC) processes are considered the main bottlenecks in the steel industry. We consider planning and scheduling problems in SCC processes and provide an overview of the literature with our commentary.
Myungho Lee +4 more
semanticscholar +1 more source
PROOF OBLIGATIONS AS A SUPPORT TOOL FOR EFFICIENT PROCESS MANAGEMENT IN THE FIELD OF PRODUCTION PLANNING AND SCHEDULING [PDF]
Serbian Journal of Management, 2016 Production planning and scheduling is one of the most important business processes that significantly influence the performance of manufacturing companies. There are many information systems supporting production planning and scheduling and some of them
Denisa Hrušecká
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Journal of Civil Engineering and Management, 2022 Planning problems are particularly important for the production processes of precast reinforced concrete elements. Currently used modeling of these processes is based on the flow shop problem.
Michał Podolski
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Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival
Processes, 2022 The production process of a smart factory is complex and dynamic. As the core of manufacturing management, the research into the flexible job shop scheduling problem (FJSP) focuses on optimizing scheduling decisions in real time, according to the changes
Jingru Chang +4 more
semanticscholar +1 more source