A Variable Group Parallel Flexible Job Shop Scheduling in a SMEs Manufacturing Platform
IEEE Access, 2023 Manufacturing is a broad field with different types of production processes. Therefore, specific processes can accommodate multiple parallel machines operating simultaneously in some production environments.
Yeonjee Choi +2 more
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Predictive Scheduling with Markov Chains and ARIMA Models
Applied Sciences, 2020 Production scheduling is attracting considerable scientific interest. Effective scheduling of production jobs is a critical element of smooth organization of the work in an enterprise and, therefore, a key issue in production. The investigations focus on
Łukasz Sobaszek +2 more
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Simultaneous mixed-integer dynamic scheduling of processes and their energy systems [PDF]
, 2021 Increasingly volatile electricity prices make simultaneous scheduling optimization desirable for production processes and their energy systems. Simultaneous scheduling needs to account for both process dynamics and binary on/off-decisions in the energy system leading to challenging mixed-integer dynamic optimization problems.
arxiv +1 more source
A new algorithm of the scheduling of a flexible manufacturing system based on genetic algorithm
Manufacturing Review, 2023 In the flexible manufacturing system, a reasonable production scheduling is crucial in shortening the processing completion time and improving the equipment utilization.
Bao Bizhen +8 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the automation of organizational design and organizational preparation of building production is based mainly on the outdated methods.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
doaj +1 more source
Multiscale modeling and collaborative manufacturing for steelmaking plants
工程科学学报, 2021 With the recent, rapid developments of metallurgical theory and intelligent steelmaking technology, the intelligent upgrading of iron and steel enterprises has attracted increased attention and become a topic of discussion in the steel industry ...
Qing LIU +3 more
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Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning [PDF]
International Journal of Production Research International Journal
of Production Research, Volume 59, 2021 - Issue 11, Pages 3360-3377, 2021 We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL). We formulate the scheduling process of JSSP as a sequential decision-making problem with graph representation of the state to consider the structure of JSSP.
arxiv +1 more source
Reactive scheduling using a multi-agent model: the SCEP framework [PDF]
, 2001 Multi-agent systems have been successfully applied to the scheduling problem for some time. However, their use often leads to poorly unsatisfactory disappointing results. A new multi-agent model, called supervisor, customers, environment, producers (SCEP)
Archimède, Bernard, Coudert, Thierry
core +2 more sources
Efficient scheduling of batch processes in continuous processing lines [PDF]
, 2020 This thesis focuses mainly on the development of efficient formulations for scheduling in industrial environments. Likewise, decisions over the processes more related to advanced process control or production planning are included in the scheduling ...
Gómez Palacín, Carlos
core +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
doaj +1 more source