Data-Driven Dispatching Rules Mining and Real-Time Decision-Making Methodology in Intelligent Manufacturing Shop Floor with Uncertainty [PDF]
Sensors, 2021 In modern manufacturing industry, the methods supporting real-time decision-making are the urgent requirement to response the uncertainty and complexity in intelligent production process.
Liping Zhang +4 more
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Learning dispatching rules via novel genetic programming with feature selection in energy-aware dynamic job-shop scheduling [PDF]
Scientific Reports, 2023 The incorporation of energy conservation measures into production efficiency is widely recognized as a crucial aspect of contemporary industry. This study aims to develop interpretable and high-quality dispatching rules for energy-aware dynamic job shop ...
Adilanmu Sitahong +5 more
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Real Time Scheduling of Nonidentical Multiple Batch Processors with Machine Eligibility Restriction [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 This study addresses a new problem on scheduling of nonidentical multiple diffusion furnaces (NMDF) with machine eligibility restriction (MER) along with important real-life problem characteristics such as multiple and incompatible job-families ...
M. Vimala Rani, M. Mathirajan
doaj +1 more source
IEEE Access, 2022 Dispatching rules are most commonly used to solve scheduling problems under dynamic conditions. Since designing new dispatching rules is a time-consuming process, it can be automated by using various machine learning and evolutionary computation methods.
Lucija Planinic +3 more
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Applied Sciences, 2023 Gene expression programming (GEP) is frequently used to create intelligent dispatching rules for job-shop scheduling. The proper selection of the terminal set is a critical factor for the success of GEP.
Adilanmu Sitahong +4 more
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PSO-SVM Based Performance-Driving Scheduling Method for Semiconductor Manufacturing Systems
Applied Sciences, 2023 There are currently many studies on data-driven optimization scheduling, but only a few studies have combined “closed-loop optimization” with “performance-driven”.
Qingyun Yu +4 more
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Realization of A Knowledge-based Intelligent System for Power Dispatching Plan Management [PDF]
E3S Web of Conferences, 2020 With the expanding of power grid scale in Chinese metropolis, the task intensity of power dispatchers increases rapidly in regulation of the power system operation structure and states to deal with everyday scheduled maintenance.
Liu Qi +4 more
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Comparison and evaluation of job selection dispatching rules for integrated scheduling of multi-load automatic guided vehicles serving in variable sized flexible manufacturing system layouts: A simulation study [PDF]
Management Science Letters, 2018 This paper compares and evaluates the performance of five different conventional job selection dis-patching rules for scheduling of multi-load automatic guided vehicles (AGVs) serving for material handling operations in variable sized flexible ...
S. Angra, A. K. Chanda , V. K. Chawla
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Scheduling dynamic job shop manufacturing cells with family setup times: a simulation study
Logistics Research, 2017 Heuristics based on dispatching rules are still widely used in practice as methods for effective scheduling systems. Despite the successful development of various novel dispatching rules for traditional job shop scheduling environments, nearly none of ...
Armin Klausnitzer +2 more
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Computers, 2016 A promising approach for an effective shop scheduling that synergizes the benefits of the combinatorial optimization, supervised learning and discrete-event simulation is presented.
Atif Shahzad, Nasser Mebarki
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