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A survey of case studies in production scheduling: Analysis and perspectives
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Optimal two‐ and three‐stage production schedules with setup times included
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Scheduling Practice and Recent Developments in Flow Shop and Job Shop Scheduling
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Multi-objective production scheduling: a survey
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Optimization of setup times in the furniture industry
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A state-of-the-art review of parallel-machine scheduling research
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Production scheduling problems in a textile industry
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Production Scheduling Using Mixed Integer Programming: Case of Bread Small and Medium Enterprise at Yogyakarta
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Parallel machines scheduling with machine preference via agent-based approach
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Algorithms for minimizing the number of tardy jobs for reducing production cost with uncertain processing times
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Machine scheduling in custom furniture industry through neuro-evolutionary hybridization
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Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan
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A parallel membrane inspired harmony search for optimization problems: A case study based on a flexible job shop scheduling problem
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Mathematical model and genetic optimization for the job shop scheduling problem in a mixed- and multi-product assembly environment: A case study based on the apparel industry
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An evolutionary simulation–optimization approach in solving parallel-machine scheduling problems – A case study
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Parallel tabu search algorithm for the hybrid flow shop problem
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Production scheduling of assembly fixtures in the aeronautical industry
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Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shopfloor environment
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Permutation flowshop group scheduling with position-based learning effect
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A stable reactive approach in dynamic flexible flow shop scheduling with unexpected disruptions: A case study
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A branch population genetic algorithm for dual-resource constrained job shop scheduling problem
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Simulation modeling and analysis for production scheduling using real-time dispatching rules: A case study in canned fruit industry
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Multiobjective scheduling for semiconductor manufacturing plants
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Efficient mathematical frameworks for detailed production scheduling in food processing industries
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Scope for industrial applications of production scheduling models and solution methods
inferredcites →https://doi.org/10.1016/j.cor.2009.11.001openalex-snapshot
Review and classification of hybrid flow shop scheduling problems from a production system and a solutions procedure perspective
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A comprehensive review and evaluation of permutation flowshop heuristics
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A heuristic to schedule flexible job-shop in a glass factory
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A genetic algorithm for hybrid flowshops with sequence dependent setup times and machine eligibility
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A review of TSP based approaches for flowshop scheduling
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Flowshop scheduling research after five decades
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A multi-objective production scheduling case study solved by simulated annealing
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A survey of scheduling problems with setup times or costs
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Solution approaches for the soft drink integrated production lot sizing and scheduling problem
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The hybrid flow shop scheduling problem
inferredcites →https://doi.org/10.1016/j.ejor.2010.06.002openalex-snapshot
MIP-based decomposition strategies for large-scale scheduling problems in multiproduct multistage batch plants: A benchmark scheduling problem of the pharmaceutical industry
inferredcites →https://doi.org/10.1016/j.ejor.2011.06.021openalex-snapshot
Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry
inferredcites →https://doi.org/10.1016/j.ejor.2012.06.035openalex-snapshot
Scheduling batches in flowshop with limited buffers in the shampoo industry
inferredcites →https://doi.org/10.1016/j.ejor.2015.05.019openalex-snapshot
Carbon-efficient scheduling of flow shops by multi-objective optimization
inferredcites →https://doi.org/10.1016/j.ejor.2015.06.018openalex-snapshot
A real-time order acceptance and scheduling approach for permutation flow shop problems
inferredcites →https://doi.org/10.1016/j.ejor.2015.08.064openalex-snapshot
Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption
inferredcites →https://doi.org/10.1016/j.ejor.2015.11.020openalex-snapshot
Analysis of a parallel machine scheduling problem with sequence dependent setup times and job availability intervals
inferredcites →https://doi.org/10.1016/j.eswa.2010.08.139openalex-snapshot
Real-time scheduling for reentrant hybrid flow shops: A decision tree based mechanism and its application to a TFT-LCD line
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.211openalex-snapshot
Flexible job shop scheduling with parallel machines using Genetic Algorithm and Grouping Genetic Algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2014.03.047openalex-snapshot
Application of a modified GA, ACO and a random search procedure to solve the production scheduling of a case study bakery
inferredcites →https://doi.org/10.1016/j.eswa.2014.12.050openalex-snapshot
Hybrid stage shop scheduling
inferredcites →https://doi.org/10.1016/j.eswa.2015.03.012openalex-snapshot
A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry
inferredcites →https://doi.org/10.1016/j.ifacol.2016.07.884openalex-snapshot
An MILP Model for Scheduling Multistage, Multiproducts Milk Processing
inferredcites →https://doi.org/10.1016/j.ijpe.2007.02.052openalex-snapshot
Production planning and scheduling in the glass container industry: A VNS approach
inferredcites →https://doi.org/10.1016/j.ijpe.2010.09.030openalex-snapshot
The energy scheduling problem: Industrial case-study and constraint propagation techniques
inferredcites →https://doi.org/10.1016/j.ijpe.2012.06.013openalex-snapshot
A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems—A case study for solar cell industry
inferredcites →https://doi.org/10.1016/j.ijpe.2012.10.024openalex-snapshot
A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs: Investigations motivated by vehicle production
inferredcites →https://doi.org/10.1016/j.ijpe.2013.01.028openalex-snapshot
Hybrid flow shop scheduling considering machine electricity consumption cost
inferredcites →https://doi.org/10.1016/j.ijpe.2016.02.015openalex-snapshot
Decision support models for managing returnable transport items in supply chains: A systematic literature review
inferredcites →https://doi.org/10.1016/j.jcde.2016.05.001openalex-snapshot
Combinatorial particle swarm optimization for solving blocking flowshop scheduling problem
inferredcites →https://doi.org/10.1016/j.jclepro.2013.07.060openalex-snapshot
An investigation into minimising total energy consumption and total weighted tardiness in job shops
inferredcites →https://doi.org/10.1016/j.jclepro.2013.12.024openalex-snapshot
Optimizing the production scheduling of a single machine to minimize total energy consumption costs
inferredcites →https://doi.org/10.1016/j.jclepro.2015.09.097openalex-snapshot
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
inferredcites →https://doi.org/10.1016/j.jclepro.2016.03.150openalex-snapshot
An efficient greedy insertion heuristic for energy-conscious single machine scheduling problem under time-of-use electricity tariffs
inferredcites →https://doi.org/10.1016/j.jclepro.2016.06.161openalex-snapshot
A multi-level optimization approach for energy-efficient flexible flow shop scheduling
inferredcites →https://doi.org/10.1016/j.jclepro.2016.07.206openalex-snapshot
Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration
inferredcites →https://doi.org/10.1016/j.jmsy.2011.08.004openalex-snapshot
A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction
inferredcites →https://doi.org/10.1016/j.jocs.2016.09.008openalex-snapshot
A DAG task scheduling scheme on heterogeneous cluster systems using discrete IWO algorithm
inferredcites →https://doi.org/10.1016/j.jocs.2016.11.011openalex-snapshot
Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability
inferredcites →https://doi.org/10.1016/j.knosys.2014.08.022openalex-snapshot
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm
inferredcites →https://doi.org/10.1016/j.orl.2016.03.005openalex-snapshot
Complexity of interval minmax regret scheduling on parallel identical machines with total completion time criterion
inferredcites →https://doi.org/10.1016/j.rcim.2004.07.002openalex-snapshot
Scheduling non-similar groups on a flow line: multiple group setups
inferredcites →https://doi.org/10.1016/j.simpat.2014.10.008openalex-snapshot
Simulation optimization approach for hybrid flow shop scheduling problem in semiconductor back-end manufacturing
inferredcites →https://doi.org/10.1016/s0166-3615(98)00075-xopenalex-snapshot
Scheduling of a multi-product batch process in the chemical industry
inferredcites →https://doi.org/10.1016/s0167-5060(08)70356-xopenalex-snapshot
Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
inferredcites →https://doi.org/10.1016/s0925-5273(03)00011-2openalex-snapshot
A case study in a two-stage hybrid flow shop with setup time and dedicated machines
inferredcites →https://doi.org/10.1016/s1006-706x(10)60153-7openalex-snapshot
MILP Model for Plant-Wide Optimal By-Product Gas Scheduling in Iron and Steel Industry
inferredcites →https://doi.org/10.1016/s1006-706x(15)30020-0openalex-snapshot
Optimization and scheduling of byproduct gas system in steel plant
inferredcites →https://doi.org/10.1057/jors.2009.2openalex-snapshot
Fifty years of scheduling: a survey of milestones
inferredcites →https://doi.org/10.1057/palgrave.jors.2600408openalex-snapshot
Minimizing makespan in parallel flowshops
inferredcites →https://doi.org/10.1057/palgrave.jors.2601784openalex-snapshot
A review and classification of heuristics for permutation flow-shop scheduling with makespan objective
inferredcites →https://doi.org/10.1080/0020754050056417openalex-snapshot
Flowshop-scheduling problems with makespan criterion: a review
inferredcites →https://doi.org/10.1080/00207549308956713openalex-snapshot
Addressing the gap in scheduling research: a review of optimization and heuristic methods in production scheduling
inferredcites →https://doi.org/10.1080/07408170208928923openalex-snapshot
Scheduling of unrelated parallel machines: an application to PWB manufacturing
inferredcites →https://doi.org/10.1080/15458830.1996.11770714openalex-snapshot
Scheduling: Theory, Algorithms, and Systems
inferredcites →https://doi.org/10.1111/j.1937-5956.2002.tb00492.xopenalex-snapshot
SCHEDULING HYBRID FLOWSHOPS IN PRINTED CIRCUIT BOARD ASSEMBLY LINES*
inferredcites →https://doi.org/10.1111/j.1937-5956.2002.tb00494.xopenalex-snapshot
PRACTICE‐FOCUSED RESEARCH ISSUES FOR SCHEDULING SYSTEMS*
inferredcites →https://doi.org/10.1155/2013/215614openalex-snapshot
Cusps of Bishop Spherical Indicatrixes and Their Visualizations
inferredcites →https://doi.org/10.1155/2013/546810openalex-snapshot
A Branch-and-Bound Algorithm for Minimizing the Energy Consumption in the PFS Problem
inferredcites →https://doi.org/10.15837/ijccc.2007.3.2356openalex-snapshot
A Proposed Genetic Algorithm Coding for Flow-Shop Scheduling Problems
inferredcites →https://doi.org/10.1590/0104-530x2196-15openalex-snapshot
Modelos integrados de dimensionamento e sequenciamento da produção: aplicação em uma fábrica de cimento para refratário
inferredcites →https://doi.org/10.1590/s0103-65132011005000055openalex-snapshot
Programação da produção de gabaritos de montagem com restrições de adjacência na indústria aeronáutica
inferredcites →https://doi.org/10.1590/s0104-530x1999000100002openalex-snapshot
O problema do seqüenciamento da produção em uma indústria química: avaliação de uma aplicação real
inferredcites →https://doi.org/10.1590/s0104-530x2011000100009openalex-snapshot
Uma abordagem heurística para a programação da produção na indústria de fundição com utilização da lógica fuzzy
inferredcites →https://doi.org/10.2307/3009192openalex-snapshot
Introduction to Sequencing and Scheduling
inferredcites →https://doi.org/10.3926/jiem.2009.v2n1.p60-89openalex-snapshot
A hybrid flow shop model for an ice cream production scheduling problem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-030-78170-5_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-38145-4_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121920openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.09.619openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijpe.2017.11.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jclepro.2018.08.151openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jii.2024.100599openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.procs.2022.12.301openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.procs.2023.01.300openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200401openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00207543.2019.1705420openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/0305215x.2020.1796999openalex-snapshot
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Optimal Production Scheduling using a Production Simulator and Multi-population Global-best Modified Brain Storm Optimization
inferred← citeshttps://doi.org/10.1109/elticom47379.2019.8943914openalex-snapshot
Minimization of Makespan Using FCFS Method and Genetic Algorithm Method Comparison in Aluminum Industry
inferred← citeshttps://doi.org/10.1109/ssci52147.2023.10371949openalex-snapshot
Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator
inferred← citeshttps://doi.org/10.1111/itor.13056openalex-snapshot
A review of mathematical optimization models applied to the sugarcane supply chain
inferred← citeshttps://doi.org/10.1142/s0219686724500252openalex-snapshot
Q-Learning-Based Priority Dispatching Rule Preference Model for Non-Permutation Flow Shop
inferred← citeshttps://doi.org/10.1142/s2424862224500155openalex-snapshot
Digital Twin-Driven Dynamic Scheduling of Flexible Manufacturing System in the Context of Smart Factory Producing Brass Accessories
inferred← citeshttps://doi.org/10.1145/3396474.3396475openalex-snapshot
Scheduling Tardiness Constrained Flow Shop with Simultaneously Loaded Stations Using Genetic Algorithm
inferred← citeshttps://doi.org/10.1145/3712255.3734284openalex-snapshot
A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.11591/ijai.v12.i1.pp315-327openalex-snapshot
Hybridizing genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources
inferred← citeshttps://doi.org/10.11606/d.18.2021.tde-19072021-182420openalex-snapshot
Bounded Dynamic Programming Approach to minimize Makespan for the Blocking Flow Shop problem with Sequence Dependent Setup Times Constraints
inferred← citeshttps://doi.org/10.1177/09544054231182174openalex-snapshot
A scheduling mechanism for hybrid flow shops with reworks under general queue time limits
inferred← citeshttps://doi.org/10.12677/ae.2023.132068openalex-snapshot
A Preliminary Study on the Teaching Reform of Production Scheduling Course for Industrial Engineering Specialty
inferred← citeshttps://doi.org/10.14419/ijet.v7i2.8.10467openalex-snapshot
Enhancing the production through SMED methodology
inferred← citeshttps://doi.org/10.14488/1676-1901.v23i4.4924openalex-snapshot
Application of operations scheduling algorithms for the allocation of forensic science services
inferred← citeshttps://doi.org/10.1590/0103-6513.20250004openalex-snapshot
Optimising manufacturing schedules with tailored metrics to reduce unproductive times
inferred← citeshttps://doi.org/10.1590/1678-4324-2024240084openalex-snapshot
Innovative Optimization Algorithms for Large-Sized Industrial Scheduling Problems
inferred← citeshttps://doi.org/10.18178/ijimt.2023.14.3.942openalex-snapshot
Production Planning and Scheduling Challenges in the Engineer-to-Order Manufacturing Segment—A Literature Study
inferred← citeshttps://doi.org/10.20944/preprints202404.1736.v1openalex-snapshot
Optimal Scheduling for Automated Wetetch Stations with One Robot in Semiconductor Manufacturing via Constraint Answer Set Programming
inferred← citeshttps://doi.org/10.24425/mper.2024.149996openalex-snapshot
Matheuristics for the Order-picking Problem with Sequence-dependant Constraints in a Logistic Center with a One-directional Conveyor Between Buffers
inferred← citeshttps://doi.org/10.29132/ijpas.911146openalex-snapshot
Adaptive Large Neighborhood Search Heuristic for Mixed Blocking Flowshop Scheduling Problem
inferred← citeshttps://doi.org/10.29137/umagd.887624openalex-snapshot
An Improved Algorithm for Minimizing Makespan on Flowshops with Uncertain Processing Times
inferred← citeshttps://doi.org/10.29393/tdudec-13sp1pa13openalex-snapshot
Proposición de una arquitectura holónica basada en productos inteligentes para el aumento de la flexibilidad en planificación de la producción y logística.
inferred← citeshttps://doi.org/10.32657/10356/166319openalex-snapshot
A decision support system for interactive planning and scheduling in smart manufacturing
inferred← citeshttps://doi.org/10.33774/miir-2023-kwwcvopenalex-snapshot
Foundry planning optimization: a decision support tool for a real-world case
inferred← citeshttps://doi.org/10.3390/a15100372openalex-snapshot
An Application of a Decision Support System Enabled by a Hybrid Algorithmic Framework for Production Scheduling in an SME Manufacturer
inferred← citeshttps://doi.org/10.3390/app12146933openalex-snapshot
A New Approach to the Allocation of Multidimensional Resources in Production Processes
inferred← citeshttps://doi.org/10.3390/app15041771openalex-snapshot
Fault-Resilient Manufacturing Scheduling with Deep Learning and Constraint Solvers
inferred← citeshttps://doi.org/10.3390/en14020462openalex-snapshot
Production Line Optimization to Minimize Energy Cost and Participate in Demand Response Events
inferred← citeshttps://doi.org/10.3390/math9222955openalex-snapshot
Agent Scheduling in Unrelated Parallel Machines with Sequence- and Agent–Machine–Dependent Setup Time Problem
inferred← citeshttps://doi.org/10.3390/pr12071315openalex-snapshot
Scheduling of Automated Wet-Etch Stations with One Robot in Semiconductor Manufacturing via Constraint Answer Set Programming
inferred← citeshttps://doi.org/10.35335/emod.v15i3.50openalex-snapshot
Quantum computing for production planning
inferred← citeshttps://doi.org/10.3934/jimo.2026070openalex-snapshot
Improved algorithms for the two-machine flow shop scheduling problem with uncertain setup times to minimize total tardiness
inferred← citeshttps://doi.org/10.46254/eu05.20220384openalex-snapshot
Simulated Annealing Heuristic for Disposable Medical Face Mask Production Scheduling Problem
inferred← citeshttps://doi.org/10.48550/arxiv.2102.08778openalex-snapshot
Large-Scale Benchmarks for the Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.5829/ije.2021.34.04a.20openalex-snapshot
Robust and Stable Flow Shop Scheduling Problem under Uncertain Processing Times and Machines’ Disruption
inferred← citeshttps://doi.org/10.70675/dbeab839z50fcz4bd3za65dz06019b4d68a8openalex-snapshot
Production planning and scheduling problems under energy aspects
inferred← citeshttps://doi.org/10.70675/eb507f61zf579z498fzbf25zb1e528d3899copenalex-snapshot
Ordonnancement dynamique d'un système de production de type flow-shop hybride à l'aide d'un jumeau numérique
inferred← citeshttps://doi.org/10.70675/fd147dcez0f84z474bz9f75z4e08f5ee73dfopenalex-snapshot
La mise en place d’un système d’aide à la décision pour l’ordonnancement dynamique de la production et de la maintenance via un jumeau numérique
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