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Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]
Sci RepYu X, Mi J, Tang L, Long L, Qin X.
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A robot scheduling method based on rMAPPO for H-beam riveting and welding work cell. [PDF]
PLoS OneZheng J +7 more
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Integrated Production Schedule
SPE Caspian Technical Conference and Exhibition, 2023Abstract The focus of this comprehensive study is the mitigation and prevention of incidents that may lead to potential production loss (LPO) at the Tengiz and Korolev fields, two vital components of the oil and gas industry. These fields confront numerous challenges in production and ongoing operational activities. The primary objective
Aibek Urazov, Iliyas Zholshybekuly
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A Production Scheduling System
ORSA Journal on Computing, 1993A knowledge-based scheduling system is described for a real case study. The problem is solved for a plant with multipurpose machines and job-shop batch characteristics. Given the available machines, the list of production orders, the products' due-dates and process description for each product, the system sequences machines for all required products ...
Nussbaum, Miguel, Parra, Eduardo A.
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Numetrix/3 Production Scheduling
OR Spektrum, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rainer Kolisch +2 more
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International Journal of Production Economics, 1997
Abstract This paper presents an integrated production planning and control approach called schedule-based production (SBP). The SBP approach integrates planning and control functions of MRP/MRP II under a straightforward planning logic, in which all relevant activities are coordinated by a realistic, feasible and detailed production schedule.
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Abstract This paper presents an integrated production planning and control approach called schedule-based production (SBP). The SBP approach integrates planning and control functions of MRP/MRP II under a straightforward planning logic, in which all relevant activities are coordinated by a realistic, feasible and detailed production schedule.
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ADAPTIVE CONTROL IN PRODUCTION SCHEDULING
IFAC Proceedings Volumes, 1980Abstract The paper reports on a new method for solving perturbation problems in the course of production scheduling of cutting operations in the field of machine tool manufacture. It can perform this task by supplementing a previously prepared heuristic scheduling method with an algorithm which optimizes cutting parameters.
M. Girnt, E. Szelke
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Production Scheduling Using AI Techniques
IFAC Proceedings Volumes, 1990Abstract Within the CIM environment, one of the main areas of investigation at now is the scheduling system. Usually, the scheduling problem was solved in an inneficient way due to the complexity of the problem. Recently, Artificial Intelligence is begining to be apllied to this kind of problems and seems to be a good solution. This paper describes a
B. Rodríguez-Somoza +2 more
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