A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms
From MaRDI portal
Publication:342413
DOI10.1016/J.COR.2016.03.009zbMath1349.90302OpenAlexW2308426365MaRDI QIDQ342413
Mojtaba Farrokh, Ehsan Ahmadi, Seyed Mohammad Emami, Mostafa Zandieh
Publication date: 17 November 2016
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2016.03.009
Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (20)
A survey of job shop scheduling problem: the types and models ⋮ A simulated multi-objective model for flexible job shop transportation scheduling ⋮ Risk measure of job shop scheduling with random machine breakdowns ⋮ Bi-objective optimization algorithms for joint production and maintenance scheduling under a global resource constraint: application to the permutation flow shop problem ⋮ Real-time production scheduling in the Industry-4.0 context: addressing uncertainties in job arrivals and machine breakdowns ⋮ A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times ⋮ Predictive-reactive strategy for identical parallel machine rescheduling ⋮ Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints ⋮ Semiconductor final-test scheduling under setup operator constraints ⋮ A simulation-optimization framework for generating dynamic dispatching rules for stochastic job shop with earliness and tardiness penalties ⋮ An improved hybrid metaheuristics and rule-based approach for flexible job-shop scheduling subject to machine breakdowns ⋮ An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process ⋮ Unsupervised parallel machines scheduling with tool switches ⋮ An order scheduling heuristic to minimize the total collation delays and the makespan in high-throughput make-to-order manufacturing systems ⋮ A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand ⋮ A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach ⋮ Developing a flexible manufacturing control system considering mixed uncertain predictive maintenance model: a simulation-based optimization approach ⋮ An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria ⋮ Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system ⋮ A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty
Cites Work
- Unnamed Item
- Unnamed Item
- Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS
- An effective architecture for learning and evolving flexible job-shop schedules
- Project scheduling under uncertainty: survey and research potentials
- Pareto-optimality approach for flexible job-shop scheduling problems: Hybridization of evolutionary algorithms and fuzzy logic
- A hybrid multiobjective evolutionary approach for flexible job-shop scheduling problems
- Effective neighbourhood functions for the flexible job shop problem
- Routing and scheduling in a flexible job shop by tabu search
- Meta-heuristics for stable scheduling on a single machine
- An immune algorithm for scheduling a hybrid flow shop with sequence-dependent setup times and machines with random breakdowns
- The Complexity of Flowshop and Jobshop Scheduling
This page was built for publication: A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms