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Snow leopard optimization algorithm: A new nature-based optimization algorithm for solving optimization problems
P Coufal, Š Hubálovský, M Hubálovská, Z Balogh - Mathematics, 2021 - mdpi.com
Numerous optimization problems have been defined in different disciplines of science that
must be optimized using effective techniques. Optimization algorithms are an effective and …
must be optimized using effective techniques. Optimization algorithms are an effective and …
The Problem of Machine Part Operations Optimal Scheduling in the Production Industry Based on a Customer's Order
P Mitić, S Petrović Savić, A Djordjevic, M Erić, E Sukić… - Applied Sciences, 2023 - mdpi.com
This research focuses on small-and medium-sized businesses that provide machining or
other process services but do not produce their own products. Their daily manufacturing …
other process services but do not produce their own products. Their daily manufacturing …
Improving manufacturing supply chain by integrating SMED and production scheduling
V Parwani, G Hu - Logistics, 2021 - mdpi.com
Globalization has led to a significant effect on today's manufacturing sector. Manufacturers
need to find new and innovative ways to increase efficiency and reduce waste in the …
need to find new and innovative ways to increase efficiency and reduce waste in the …
A distributed task scheduling method based on conflict prediction for ad hoc uav swarms
J Li, R Chen - Drones, 2022 - mdpi.com
UAV swarms have attracted great attention, and are expected to be used in scenarios, such
as search and rescue, that require many urgent jobs to be completed in a minimum time by …
as search and rescue, that require many urgent jobs to be completed in a minimum time by …
[HTML][HTML] Solving flexible job-shop scheduling problem with heterogeneous graph neural network based on relation and deep reinforcement learning
H Tang, J Dong - Machines, 2024 - mdpi.com
Driven by the rise of intelligent manufacturing and Industry 4.0, the manufacturing industry
faces significant challenges in adapting to flexible and efficient production methods. This …
faces significant challenges in adapting to flexible and efficient production methods. This …
Solving non-delay job-shop scheduling problems by a new matrix heuristic
L Nohair, A El Adraoui, A Namir - Procedia Computer Science, 2022 - Elsevier
In this paper, we address the non-delay job-shop scheduling problem. The objective is to
minimize the makespan. The non-delay schedules are active schedules in which we will not …
minimize the makespan. The non-delay schedules are active schedules in which we will not …
An Improved Hybrid Metaheuristic for Active Job-Shop Scheduling Problems
L NOHAIR, A EL ADRAOUI, A NAMIR - Procedia Computer Science, 2024 - Elsevier
Our article aims to resolve the scheduling instances in a job shop, hereinafter referred to as
JSSP. The objective is to minimize the makespan, or the maximum amount of time needed to …
JSSP. The objective is to minimize the makespan, or the maximum amount of time needed to …
[HTML][HTML] Addressing Due Date and Storage Restrictions in the S-Graph Scheduling Framework
This paper addresses the Flexible Job Shop Scheduling Problem (FJSP) with the objective
of minimizing both earliness/tardiness (E/T) and intermediate storage time (IST). An …
of minimizing both earliness/tardiness (E/T) and intermediate storage time (IST). An …
Simulation of job sequencing for stochastic scheduling with a genetic algorithm
Sequencing is done to determine the order in which the jobs are to be processed. Extensive
research has been carried out with an aim to tackle real-world scheduling problems. In …
research has been carried out with an aim to tackle real-world scheduling problems. In …
[PDF][PDF] Priority Decision Rules with a Fuzzy MCDM Approach for Solving Flexible Job Shop Problem: A Real Case Study of Optimizing Manufacturing
The Flexible Job Shop Problem (FJSP) represents a significant challenge in the field of
planning due to its complexity and the constant need for problem-solving in the market. It …
planning due to its complexity and the constant need for problem-solving in the market. It …