Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data

L Tan, TL Kong, Z Zhang, ASM Metwally, S Sharma… - Sustainability, 2023 - mdpi.com
To review the present scenario of the research on the scheduling and control of the
production process in the manufacturing industry, this comprehensive article has extensively …

[PDF][PDF] Hybrid genetic–tabu search algorithm to optimize the route for capacitated vehicle routing problem with time window

MD Akbar, R Aurachmana - International Journal of Industrial …, 2020 - academia.edu
Production is one of the efforts done by companies in fulfilling human needs. Companies
should be able to convert input into output that match with customer demand (Lu, 2011) …

[PDF][PDF] Courses timetabling based on hill climbing algorithm

A Rjoub - International Journal of Electrical and Computer …, 2020 - academia.edu
In addition to its monotonous nature and excessive time requirements, the manual school
timetable scheduling often leads to more than one class being assigned to the same …

Auto-generate scheduling system based on expert system

NI Ilham, EHM Saat, NHA Rahman… - 2017 7th IEEE …, 2017 - ieeexplore.ieee.org
This paper proposed a technique for smart autogenerate scheduling system specifically for
the educational sector. In constructing a precise and high efficient timetable there are …

Solving an Integrated Job-Shop–Mobile Robot Scheduling Problem in Flexible Manufacturing System using Enhanced Genetic Algorithm Structure with Local Search …

E Samsuria, MSA Mahmud, NA Wahab… - … of Modelling and …, 2024 - arqiipubl.com
In a highly automated Flexible Manufacturing System (FMS), optimal utilization and
scheduling of resources and equipment are paramount. This necessity underpins the full …

A custom-based crossover technique in genetic algorithm for course scheduling problem

NGAPH Saptarini, PI Ciptayani, IBI Purnama - TEM journal, 2020 - ceeol.com
Genetic algorithm is widely used in scheduling, which crossover is one of the important
operators. This paper aims to propose a custom crossover technique in genetic algorithm to …

Quantum-Inspired Genetic Algorithm for Workforce Scheduling in Supply Chain and Logistics Operations: A Lightweight Quantum-Inspired Genetic Algorithm

R Jiao - Quantum Computing and Supply Chain Management …, 2024 - igi-global.com
This chapter introduces a lightweight quantum-inspired genetic algorithm (LQIGA) to tackle
the challenges of workforce scheduling in supply chain and logistics operations, with a …

Scheduling Regular Classrooms using Heuristic Genetic and Tabu Search Algorithms

NF Fauziah, YH Putra - IOP Conference Series: Materials …, 2018 - iopscience.iop.org
The purpose of this study was to scheduling regular classrooms using heuristic genetic and
tabu search algorithm. Scheduling in the university environment–related subject is very …

A hybrid approach for cost-optimized lateral transshipment in a supply chain environment

D Nakandala, H Lau, A Ning - Business Process Management …, 2016 - emerald.com
Purpose–When making sourcing decisions, both cost optimization and customer demand
fulfillment are equally important for firm competitiveness. The purpose of this paper is to …

A Hybrid Approach for Load Balancing: Using Random Forest and Pso Approach (RFPSO).

K Bala, A Kumar - International Journal of Advanced …, 2017 - search.ebscohost.com
Cloud Computing becomes need of the hour, since cloud provides resources to machines
having limited resources associated with them. Load balancing becomes critical in such …