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Hybrid job shop scheduling [PDF]
We consider the problem of scheduling jobs in a hybrid job shop. We use the term\ud 'hybrid' to indicate that we consider a lot of extensions of the classic job shop, such as transportation times, multiple resources, and setup times.
Schutten, J.M.J.
core +11 more sources
Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization problem that takes the dynamic environment into account. Genetic programming hyperheuristics (GPHH) have been widely used to evolve scheduling heuristics for job ...
Fangfang Zhang +3 more
semanticscholar +1 more source
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling [PDF]
Copyright @ 2001 Elsevier Science LtdA new adaptive neural network and heuristics hybrid approach for job-shop scheduling is presented. The neural network has the property of adapting its connection weights and biases of neural units while solving the ...
Baker +18 more
core +2 more sources
Performance Assessment of Dynamic Flexible Assembly Job Shop Control Methods
Developments of information technology provide a foundation for implementing shop floor control in high variety production environments. A dynamic flexible assembly job shop is abstracted from a mold industry, we suggest the use of a hierarchical ...
Hongyang Zhong +4 more
doaj +1 more source
In a flexible job shop problem with transportation (FJSPT), a typical flexible manufacturing system comprises transporters that pick up and deliver jobs for processing at flexible job shops.
Che Han Lim, Seung Ki Moon
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An improved constraint satisfaction adaptive neural network for job-shop scheduling [PDF]
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
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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
Manufacturing Control in Job Shop Environments with Reinforcement Learning
: Computing solutions to job shop problems is a particularly challenging task due to the computational hardness of the underlying optimization problem as well as the often dynamic nature of given environments.
V. Samsonov +7 more
semanticscholar +1 more source
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling [PDF]
In this paper, a novel evolutionary algorithm is applied to tackle job-shop scheduling tasks in manufacturing environments. Specifically, a modified micro genetic algorithm (MmGA) is used as the building block to formulate an ensemble model to undertake ...
Hanoun, Samer +7 more
core +1 more source
A New Approach in Job Shop Scheduling: Overlapping Operation [PDF]
In this paper, a new approach to overlapping operations in job shop scheduling is presented. In many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a ...
parviz Fattahi, mohammad Saidi Mehrabad
doaj

