Results 11 to 20 of about 3,088,335 (262)

Dynamic Scheduling of a Semiconductor Production Line Based on a Composite Rule Set

open access: yesApplied Sciences, 2017
Various factors and constraints should be considered when developing a manufacturing production schedule, and such a schedule is often based on rules. This paper develops a composite dispatching rule based on heuristic rules that comprehensively consider
Yumin Ma   +3 more
doaj   +2 more sources

Dynamic Scheduling for Charging Electric Vehicles: A Priority Rule [PDF]

open access: yesIEEE Transactions on Automatic Control, 2016
We consider the scheduling of multiple tasks with pre-determined deadlines under arbitrarily random processing cost and task arrival. This problem is motivated by the potential of large scale adoption of plug-in (hybrid) electric vehicles (PHEVs) in the ...
Yunjian Xu, Feng Pan, L. Tong
semanticscholar   +1 more source

A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED

open access: yesMathematics, 2021
Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and ...
Xiaowu Chen   +4 more
doaj   +1 more source

Robust Optimization for Batch Process Scheduling Under Uncertainty Using Piecewise Linear Decision Rule

open access: yesChemical Engineering Transactions, 2018
Process scheduling is one key layer of decision hierarchy for process industries to optimize their production schedule in order to gain the long-term economic viability.
Cen Guo, Fengqi You
doaj   +1 more source

An Improved Discrete PSO for Tugboat Assignment Problem under a Hybrid Scheduling Rule in Container Terminal

open access: yes, 2014
In container terminal, tugboat plays vital role in safety of ship docking. Tugboat assignment problem under a hybrid scheduling rule (TAP-HSR) is to determine the assignment between multiple tugboats and ships and the scheduling sequence of ships to ...
Su Wang   +4 more
semanticscholar   +1 more source

A Fuzzy Nonlinear Programming Approach for Optimizing the Performance of a Four-Objective Fluctuation Smoothing Rule in a Wafer Fabrication Factory

open access: yesJournal of Applied Mathematics, 2013
In theory, a scheduling problem can be formulated as a mathematical programming problem. In practice, dispatching rules are considered to be a more practical method of scheduling. However, the combination of mathematical programming and fuzzy dispatching
Horng-Ren Tsai, Toly Chen
doaj   +1 more source

A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling

open access: yesIET Smart Grid, 2022
Residential buildings are large consumers of energy. They contribute significantly to the demand placed on the grid, particularly during hours of peak demand.
Junlin Lu, Patrick Mannion, Karl Mason
doaj   +1 more source

Improved Genetic Algorithm Integrated with Scheduling Rules for Flexible Job Shop Scheduling Problems [PDF]

open access: yesE3S Web of Conferences, 2021
This paper presents optimization of makespan for Flexible Job Shop Scheduling Problems (FJSSP) using an Improved Genetic Algorithm integrated with Rules (IGAR).
Kamal Amjad Muhammad   +2 more
doaj   +1 more source

Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules

open access: yesApplied Sciences, 2021
The utilization of a specific priority rule in scheduling operations in flexible job shop systems strongly influences production goals. In a context of production control in real practice, production performance indicators are evaluated always en bloc ...
Zuzana Červeňanská   +3 more
doaj   +1 more source

An End-to-End Deep Learning Method for Dynamic Job Shop Scheduling Problem

open access: yesMachines, 2022
Job shop scheduling problem (JSSP) is essential in the production, which can significantly improve production efficiency. Dynamic events such as machine breakdown and job rework frequently occur in smart manufacturing, making the dynamic job shop ...
Shifan Chen, Zuyi Huang, Hongfei Guo
doaj   +1 more source

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