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β-robust solutions for the fuzzy open shop scheduling [PDF]
International Conference, IPMU 2014, (15th. 2014. Montpellier, France)The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-08795-5_46We consider the open shop scheduling problem with uncertain durations modelled as fuzzy
González Rodríguez, Inés +3 more
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Before Public Libraries. Libraries in Modena in the Fifties
In the postwar the municipality of Modena wants to establish some public libraries but is not successful until the late Sixties. In the meanwhile, some institutions, associations and private shop keepers try to enlarge to more citizens the opportunity of
Meris Bellei
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Fusion Q-Learning Algorithm for Open Shop Scheduling Problem with AGVs
In accordance with the actual production circumstances of enterprises, a scheduling problem model is designed for open-shop environments, considering AGV transport time. A Q-learning-based method is proposed for the resolution of such problems.
Xiaoyu Wen +6 more
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Each company aims to develop the company to its full potential. For goals to be achieved smoothly, leaders need to pay attention to the performance of their employees.
Diah Damaiyanti +2 more
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Heuristic local search for fuzzy open shop scheduling [PDF]
We consider the fuzzy open shop scheduling problem, where task durations are assumed to be ill-known and modelled as triangular fuzzy numbers. We propose a neighbourhood structure for local search procedures, based on reversing critical arcs in the ...
González Rodríguez, Inés +3 more
core +1 more source
DesignChain: Process Automation From Recording Of Customer Requirements To Production Release
Growing price pressure due to an increasing number of global suppliers, increasing individualization of products and ever-shorter development cycles are challenges facing the engineering industry.
Rödel, Lars +6 more
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On the reformulation of vehicle routing problems and scheduling problems [PDF]
We can reformulate a vehicle routing problem (VRP) as an open shop scheduling problem (SSP) by representing visits as activities, vehicles as resources on the factory floor, and travel as set up costs between activities.
Beck, J.C., Prosser, P., Selensky, E.
core +4 more sources
A Deep Reinforcement Learning-Based Energy-Aware Open Shop Scheduling Method
Energy-aware scheduling is essential for achieving operational efficiency in modern smart manufacturing systems under dynamic production conditions. This research tackles the flexible operation ordering and complex state space of the Energy-Aware Open ...
Ywh-Leh Chou
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The Complexity of Mean Flow Time Scheduling Problems with Release Times
We study the problem of preemptive scheduling n jobs with given release times on m identical parallel machines. The objective is to minimize the average flow time.
Baptiste, Philippe +5 more
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Quantum computing (QC) holds great promise to open up a new era of computing and has been receiving significant attention recently. To overcome the performance limitations of near-term QC, utilizing the current quantum computers to complement classical ...
Akshay Ajagekar +2 more
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