An effective 4–phased framework for scheduling job-shop manufacturing systems using weighted NSGA-II

QR Code

An effective 4–phased framework for scheduling job-shop manufacturing systems using weighted NSGA-II

Improving the performance of manufacturing systems is a vital issue in today’s rival market. For this purpose, during the last decade, scientists have considered more than one objective function while scheduling a production line. This paper develops a 4-phased fuzzy framework to identify effective...

Full description

Bibliographic Details
Main Authors:	Delgoshaei, Aidin, Mohd Ariffin, Mohd Khairol Anuar, Leman, Zulkiflle
Format:	Article
Published:	Multidisciplinary Digital Publishing Institute 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/100231/

Similar Items

Review evolution of dual-resource-constrained scheduling problems in manufacturing systems: modeling and scheduling methods’ trends
by: Delgoshaei, Aidin, et al.
Published: (2023)

RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment
by: Ariffin, Ahmad Alauddin, et al.
Published: (2024)

A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty
by: Delgoshaei, Aidin, et al.
Published: (2016)

Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms
by: Mohd Ariffin, Mohd Khairol Anuar, et al.
Published: (2015)

Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
by: Delgoshaei, Aidin
Published: (2016)

A new method for decreasing cell-load variation in dynamic cellular manufacturing systems
by: Delgoshaei, Aidin, et al.
Published: (2016)

A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost
by: Delgoshaei, Aidin, et al.
Published: (2016)

Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization
by: Muhammad Ammar, Nik Mu’tasim, et al.
Published: (2023)

Developing a new method for modifying over - allocated multi - mode resource constraint schedules in the presence of preemptive resources
by: Delgoshaei, Aidin, et al.
Published: (2016)

Pre-emptive resource-constrained multimode project scheduling using genetic algorithm: a dynamic forward approach
by: Delgoshaei, Aidin, et al.
Published: (2016)

Job shop scheduling problem (JSSP)
by: Abdullah, Nurul Azma
Published: (2004)

Blockchain technology and mitigating bullwhip effect in supply chains with uncertain markets: a horizontal layer product distribution strategy
by: Delgoshaei, Aidin, et al.
Published: (2024)

A comprehensive 3-phase framework for determining the customer’s product usage in a food supply chain
by: Mad Ali, Mohd Fahmi, et al.
Published: (2022)

NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment
by: Shen, jiazheng, et al.
Published: (2024)

Development of Prototype Scheduling and Sequencing Software for Job Shop Manufacturing in Sheet Metal Fabrication
by: Mohamed Rasin, Mohamad Zaihirain
Published: (2002)

Medicine distribution pattern detection in pharmaceutical supply chains: a new Kth-proximity density-distance-based method
by: Delgoshaei, Aidin, et al.
Published: (2024)

Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
by: Delgoshaei, Aidin, et al.
Published: (2022)

Towards implementing reactive scheduling for job shop problem
by: Zakaria, Zalmiyah, et al.
Published: (2006)

Multi-objective optimisation methods for minimising total weighted tardiness, electricity consumption and electricity cost in job shops through scheduling
by: Liu, Ying
Published: (2014)

NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
by: M. F. F., Ab Rashid, et al.
Published: (2016)

Flexible job shop scheduling using priority heuristics and genetic algorithm
by: Farashahi, Hamid Ghaani
Published: (2010)

A branch and bound and simulated annealing approach for job shop scheduling
by: Tan, Hui Woon, et al.
Published: (2004)

Generation of Look-Up Tables for Dynamic Job Shop Scheduling Decision Support Tool
by: Muchamad , Oktaviandri, et al.
Published: (2016)

A Modified Giffler and Thompson Genetic Algorithm on the Job Shop Scheduling Problem
by: Lee, Hui Peng, et al.
Published: (2006)

Optimisation of Assembly Line Balancing Type-E with Resource Constraints using NSGA-II
by: Masitah, Jusop, et al.
Published: (2016)

An investigation into minimising total energy consumption and total weighted tardiness in job shops
by: Liu, Ying, et al.
Published: (2014)

Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem
by: Moratori, Patrick
Published: (2013)

A Simulated Annealing-Based Hyper-Heuristic For The Flexible Job Shop Scheduling Problem
by: Kelvin, Lim Ching Wei
Published: (2023)

Production scheduling system for job shop enterprise using ANT colony optimization approach
by: Ho, Fu Haw
Published: (2008)

Optimization of Assembly Line Balancing with Resource Constraint using NSGA-II: A Case Study
by: Masitah, Jusop, et al.
Published: (2016)

Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II
by: M. F. F., Ab Rashid, et al.
Published: (2016)

Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment
by: M. Al-Najjar, Hazem
Published: (2018)

Comparison of Five Alternative Manufacturing Strategies For increasing Job Shop Capacity and Their Impact on Manufacturing Performance
by: Salehun, Md Amirul Khair
Published: (2004)

Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin
by: Ong, Chung Sin
Published: (2013)

A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations factors
by: Beigizadeh, Razieh, et al.
Published: (2022)

Building Fuzzy Inference Systems with Similarity Reasoning: NSGA II-based Fuzzy Rule Selection and Evidential Functions
by: Tze, Ling Jee, et al.
Published: (2014)

Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
by: M. F. F., Ab Rashid, et al.
Published: (2022)

Bottleneck-based heuristic for three-machine flow shop scheduling
by: Abdul Rahim, Mohd Salleh
Published: (2011)

Improving quality management methods in manufacturing SMEs: a conceptual framework
by: Raidah, Rami Ba, et al.
Published: (2019)

Modified Nsga-Iii As A Many-Objective Optimization Technique For Ab Initio Protein Structure Prediction
by: Smadi, Motasem Mohammad Yaqoob Al
Published: (2024)