Results 21 to 30 of about 199,857 (394)

Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem

open access: yesIEEE transactions on fuzzy systems, 2021
In practical applications, particularly in flexible manufacturing systems, there is a high level of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced ability to handle high levels of uncertainty. This article proposes
Jun-qing Li   +3 more
semanticscholar   +1 more source

Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing

open access: yesProduction Engineering, 2022
Quantum Annealing (QA) is a metaheuristic for solving optimization problems in a time-efficient manner. Therefore, quantum mechanical effects are used to compute and evaluate many possible solutions of an optimization problem simultaneously.
Philipp Schworm   +3 more
semanticscholar   +1 more source

A vibrant crossbreed social spider optimization with genetic algorithm tactic for flexible job shop scheduling problem

open access: yesMeasurement + Control, 2020
Job shop scheduling is one of the major issues in which the scheduling process is associated with the real-time manufacturing industry. A flexible job shop scheduling problem is one of the most important issues among the hardest combinatorial advancement
S Kavitha, P Venkumar
doaj   +1 more source

A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
Reasonable scheduling of flexible job shop is key to improve production efficiency and economic benefits; in order to solve the problem in flexible job shop scheduling problem, a novel flexible job shop scheduling method based on improved artificial ...
Rui Zeng, Yingyan Wang
doaj   +1 more source

A linear programming-based method for job shop scheduling [PDF]

open access: yes, 2012
We present a decomposition heuristic for a large class of job shop scheduling problems. This heuristic utilizes information from the linear programming formulation of the associated optimal timing problem to solve subproblems, can be used for any ...
A. P. J. Vepsalainen   +27 more
core   +4 more sources

A Method for Dynamic Insertion Order Scheduling in Flexible Job Shops Based on Digital Twins

open access: yesApplied Sciences, 2022
Various production disturbances occurring in the flexible job shop production process may affect the production of the workshop, some of which may lead to the prolongation of production completion time.
Yajun Wang   +4 more
doaj   +1 more source

Job Shop Scheduling Problem [PDF]

open access: yesOperations Research, 2015
This is a proposal for the application of discrete linear programming to the typical job-shop scheduling problem—one that involves both sequencing restrictions and also noninterference constraints for individual pieces of equipment. Thus far, no attempt has been made to establish the computational feasibility of the approach in the case of large-scale
  +6 more sources

Active Shop Scheduling Of Production Process Based On RFID Technology

open access: yesMATEC Web of Conferences, 2016
In industry 4.0 environment, intelligent technology is almost applied to all parts of the manufacturing process, such as process design, job shop scheduling, etc.. This paper presents an efficient approach to job shop scheduling actively by using RFID to
Cuihua Chao   +3 more
doaj   +1 more source

An improved constraint satisfaction adaptive neural network for job-shop scheduling [PDF]

open access: yes, 2007
Copyright @ Springer Science + Business Media, LLC 2009This paper presents an improved constraint satisfaction adaptive neural network for job-shop scheduling problems.
B. Giffler   +33 more
core   +3 more sources

Dynamic Self-Learning Artificial Bee Colony Optimization Algorithm for Flexible Job-Shop Scheduling Problem with Job Insertion

open access: yesProcesses, 2022
To solve the problem of inserting new job into flexible job-shops, this paper proposes a dynamic self-learning artificial bee colony (DSLABC) optimization algorithm to solve dynamic flexible job-shop scheduling problem (DFJSP).
Xiaojun Long   +3 more
semanticscholar   +1 more source

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