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Zikai Zhang et al.
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Pegah Rokhforoz et al.
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Mani Sharifi et al.
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A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths
Jiaxin Fan et al.
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Literature review of Industry 4.0 and related technologies
Ercan Oztemel et al.
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An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals
Xiaohui Chen et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Integrated production and maintenance scheduling for a single degrading machine with deterioration-based failures
Mageed Ghaleb et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Greedy randomized adaptive search for dynamic flexible job-shop scheduling
Adil Baykasoglu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems
Mahyar Alimian et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Joint optimization of job scheduling and maintenance planning for a two-machine flow shop considering job-dependent operating condition
Jiawen Hu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Proactive maintenance scheduling in consideration of imperfect repairs and production wait time
Tianyi Wu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2019)
Using real-time information to reschedule jobs in a flowshop with variable processing times
Jose M. Framinan et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2019)
Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0
Alexandros Bousdekis et al.
IFAC PAPERSONLINE (2019)
Dynamic Predictive Maintenance in industry 4.0 based on real time information: Case study in automotive industries
B. Einabadi et al.
IFAC PAPERSONLINE (2019)
Real-time scheduling for a smart factory using a reinforcement learning approach
Yeou-Ren Shiue et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey
Ying Cheng et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
New meta-heuristic for dynamic scheduling in permutation flowshop with new order arrival
Weibo Liu et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions
Pablo Valledor et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance
Dimitris Mourtzis et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives
Pai Zheng et al.
FRONTIERS OF MECHANICAL ENGINEERING (2018)
Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem
M. Nouiri et al.
IFAC PAPERSONLINE (2018)
A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach
Seyed Habib A. Rahmati et al.
ANNALS OF OPERATIONS RESEARCH (2018)
Robustness measures and robust scheduling for multi-objective stochastic flexible job shop scheduling problems
Xiao-Ning Shen et al.
SOFT COMPUTING (2017)
On the Robust and Stable Flowshop Scheduling Under Stochastic and Dynamic Disruptions
Feng Liu et al.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2017)
New scheduling algorithms and digital tool for dynamic permutation flowshop with newly arrived order
Weibo Liu et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)
On-line self-adaptive framework for tailoring a neural-agent learning model addressing dynamic real-time scheduling problems
Zeineb Hammami et al.
JOURNAL OF MANUFACTURING SYSTEMS (2017)
Performance evaluation of a two-machine line with a finite buffer and condition-based maintenance
Mohamed-Chahir Fitouhi et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns
Maroua Nouiri et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
Flexible job shop scheduling under condition-based maintenance: Improved version of imperialist competitive algorithm
M. Zandieh et al.
APPLIED SOFT COMPUTING (2017)
A reinforcement learning approach to parameter estimation in dynamic job shop scheduling
Jamal Shahrabi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
The Dual-Ants Colony: A novel hybrid approach for the flexible job shop scheduling problem with preventive maintenance
Fatima El Khoukhi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
A predictive maintenance approach based on real-time internal parameter monitoring
Chulsoon Park et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2016)
A stable reactive approach in dynamic flexible flow shop scheduling with unexpected disruptions: A case study
Donya Rahmani et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2016)
A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms
Ehsan Ahmadi et al.
COMPUTERS & OPERATIONS RESEARCH (2016)
Scheduling optimisation of a real flexible job shop including fixture availability and preventive maintenance
Karin Thornblad et al.
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING (2015)
A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion
Kai Zhou Gao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems
Xiao-Ning Shen et al.
INFORMATION SCIENCES (2015)
Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions
Maliheh Aramon Bajestani et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2014)
Scheduling flexible job shop problem subject to machine breakdown with route changing and right-shift strategies
Wei He et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)
Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns
Jian Xiong et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2013)
Flow shop rescheduling under different types of disruption
Ketrina Katragjini et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2013)
Two meta-heuristic algorithms for solving multi-objective flexible job-shop scheduling with parallel machine and maintenance constraints
Vahid Majazi Dalfard et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2012)
Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem
E. Moradi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An efficient hybridized genetic algorithm architecture for the flexible job shop scheduling problem
Nasr Al-Hinai et al.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL (2011)
Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm
Nasr Al-Hinai et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2011)
Dynamic scheduling in flexible job shop systems by considering simultaneously efficiency and stability
Parviz Fattahi et al.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2010)
A genetic algorithm for the Flexible Job-shop Scheduling Problem
F. Pezzella et al.
COMPUTERS & OPERATIONS RESEARCH (2008)
Mathematical modeling and heuristic approaches to flexible job shop scheduling problems
Parviz Fattahi et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2007)
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Andrew K. S. Jardine et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)
Disruption management for machine scheduling: The case of SPT schedules
Xiangtong Qi et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2006)
Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm
Jie Gao et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2006)
SIMAP: Intelligent System for Predictive Maintenance - Application to the health condition monitoring of a windturbine gearbox
Mari Cruz Garcia et al.
COMPUTERS IN INDUSTRY (2006)
Metaheuristics for minimizing the makespan of the dynamic shop scheduling problem
SQ Liu et al.
ADVANCES IN ENGINEERING SOFTWARE (2005)
Executing production schedules in the face of uncertainties: A review and some future directions
H Aytug et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)
A neural network application for reliability modelling and condition-based predictive maintenance
CC Lin et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
Reactive scheduling in a dynamic and stochastic FMS environment
I Sabuncuoglu et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2003)
Rescheduling manufacturing systems: A framework of strategies, policies, and methods
GE Vieira et al.
JOURNAL OF SCHEDULING (2003)
Using real time information for effective dynamic scheduling
P Cowling et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2002)
Routing-based reactive scheduling policies for machine failures in dynamic job shops
E Kutanoglu et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2001)