On the public citation graph

An implementation framework for seru production

0 signed · 119 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/hrdq.1216openalex-snapshot
The relationship between satisfaction with workplace training and overall job satisfaction
inferredcites →https://doi.org/10.1016/0141-6359(80)90036-7openalex-snapshot
Group Technology in the Engineering Industry
inferredcites →https://doi.org/10.1016/0377-2217(92)90054-dopenalex-snapshot
Profit-based FMS dynamic part type selection over time for mid-term production planning
inferredcites →https://doi.org/10.1016/j.cirp.2011.03.039openalex-snapshot
Interdivisional production scheduling with social negotiation mechanism
inferredcites →https://doi.org/10.1016/j.cor.2005.02.047openalex-snapshot
Multi-item dynamic production-distribution planning in process industries with divergent finishing stages
inferredcites →https://doi.org/10.1016/j.jmsy.2012.02.003openalex-snapshot
Reconfiguration of assembly systems: From conveyor assembly line to serus
inferredcites →https://doi.org/10.1016/s0278-6125(02)80175-3openalex-snapshot
Reorganizing the factory: Competing through cellular manufacturing
inferredcites →https://doi.org/10.1080/00207540802275889openalex-snapshot
Modeling and numerical analysis of line-cell conversion problems
inferredcites →https://doi.org/10.1080/002075497195966openalex-snapshot
Cellular manufacturing at 46 user plants: Implementation experiences and performance improvements
inferredcites →https://doi.org/10.1080/08959420.2012.629136openalex-snapshot
The Importance of Job Training to Job Satisfaction of Older Workers
inferredcites →https://doi.org/10.1080/09585190701321112openalex-snapshot
Participation in continuous, on-the-job training and the impact on job satisfaction: longitudinal evidence from the German labour market
inferredcites →https://doi.org/10.1080/19761597.2010.9668694openalex-snapshot
Seru Seisan‐ an innovation of the production management Mode in Japan
inferredcites →https://doi.org/10.1111/1468-232x.00264openalex-snapshot
Cell Production and Workplace Innovation in Japan: Toward a New Model for Japanese Manufacturing?
inferredcites →https://doi.org/10.1177/001872678904200501openalex-snapshot
Reward Functions of Personnel Training
inferredcites →https://doi.org/10.1504/ejie.2008.016327openalex-snapshot
A study on human-task-related performances in converting conveyor assembly line to cellular manufacturing
inferredcites →https://doi.org/10.1504/ijatm.2006.012234openalex-snapshot
The shift from belt conveyor line to work-cell based assembly systems to cope with increasing demand variation in Japanese industries
inferredcites →https://doi.org/10.4018/jsds.2012010104openalex-snapshot
Seru
inferredcites →https://doi.org/10.4135/9781526462060openalex-snapshot
The Evolution of Seru Production Systems Throughout Canon
inferredcites →https://doi.org/10.5100/jje.45.219openalex-snapshot
A Study on the Workload in Cell Production

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4666189openalex-extracted
Scheduling Problems in Seru Production System Considering Worker Cooperation and Learning Behavior
inferred← citeshttps://doi.org/10.1002/nav.22078openalex-snapshot
An exact quadratic programming approach based on convex reformulation for seru scheduling problems
inferred← citeshttps://doi.org/10.1002/nav.22140openalex-snapshot
Maximizing the throughput of a rotating Seru with nonpreemptive discrete stations
inferred← citeshttps://doi.org/10.1007/978-3-030-76307-7_18openalex-snapshot
Production Planning in a Seru Production System, Considering Heterogeneity to Balance Production Times and Minimize Energy Consumption
inferred← citeshttps://doi.org/10.1007/978-3-031-36121-0_78openalex-snapshot
Comparison of Seru Production System and Assembly Line System in Terms of Different Workforce Competence Levels
inferred← citeshttps://doi.org/10.1007/978-3-031-77723-3_41openalex-snapshot
Ranking of Seru Production System, Toyota Production System and Mass Production in Different Industries Within a Multi-dimensional Examination
inferred← citeshttps://doi.org/10.1007/978-3-031-92082-0_42openalex-snapshot
Seru Production System: An Optimization Model for Loading Problem in Multi-skilled Worker Environment
inferred← citeshttps://doi.org/10.1007/978-3-662-44745-1_46openalex-snapshot
Augmented-Reality Application for a Seru-type Manufacturing as Lean as Possible
inferred← citeshttps://doi.org/10.1007/s00170-013-5027-5openalex-snapshot
Training and assignment of multi-skilled workers for implementing seru production systems
inferred← citeshttps://doi.org/10.1007/s00500-023-07846-1openalex-snapshot
An exact branch-and-bound algorithm for seru scheduling problems with sequence-dependent setup time
inferred← citeshttps://doi.org/10.1007/s10479-020-03850-yopenalex-snapshot
How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China
inferred← citeshttps://doi.org/10.1007/s10479-021-04515-0openalex-snapshot
Scheduling problem in seru production system considering DeJong’s learning effect and job splitting
inferred← citeshttps://doi.org/10.1007/s10479-024-05983-wopenalex-snapshot
Joint decision-making for divisional seru scheduling and worker assignment considering process sequence constraints
inferred← citeshttps://doi.org/10.1007/s10845-022-02050-8openalex-snapshot
Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT
inferred← citeshttps://doi.org/10.1007/s11518-022-5534-8openalex-snapshot
Seru Scheduling Problems with Multiple Due-Windows Assignment and Learning Effect
inferred← citeshttps://doi.org/10.1007/s12008-024-02100-wopenalex-snapshot
Task allocation decisions at human–robot two-sided disassembly line 4.0 and SERU disassembly units
inferred← citeshttps://doi.org/10.1007/s40747-021-00432-8openalex-snapshot
A cooperative coevolution algorithm for complex hybrid seru-system scheduling optimization
inferred← citeshttps://doi.org/10.1007/s42524-019-0028-1openalex-snapshot
Review of seru production
inferred← citeshttps://doi.org/10.1016/b978-0-443-28993-4.00180-3openalex-snapshot
Seru production systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108593openalex-snapshot
Multi-objective cooperative coevolution algorithm with a Master–Slave mechanism for Seru Production
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110354openalex-snapshot
A bi-level nested heuristic algorithm for divisional seru order acceptance and scheduling problems
inferred← citeshttps://doi.org/10.1016/j.cie.2016.11.035openalex-snapshot
Line-hybrid seru system conversion: Models, complexities, properties, solutions and insights
inferred← citeshttps://doi.org/10.1016/j.cie.2018.02.035openalex-snapshot
A multi-skilled worker assignment problem in seru production systems considering the worker heterogeneity
inferred← citeshttps://doi.org/10.1016/j.cie.2018.05.048openalex-snapshot
Seru system balancing: Definition, formulation, and exact solution
inferred← citeshttps://doi.org/10.1016/j.cie.2021.107354openalex-snapshot
An exact solution method for solving seru scheduling problems with past-sequence-dependent setup time and learning effect
inferred← citeshttps://doi.org/10.1016/j.cie.2021.107552openalex-snapshot
Optimal cross-trained worker assignment for a hybrid seru production system to minimize makespan and workload imbalance
inferred← citeshttps://doi.org/10.1016/j.cie.2021.107856openalex-snapshot
Production planning method for seru production systems under demand uncertainty
inferred← citeshttps://doi.org/10.1016/j.cie.2023.109058openalex-snapshot
Analytic model to predict productivity in divisional Seru production environment
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110427openalex-snapshot
A self-learning particle swarm optimization for bi-level assembly scheduling of material-sensitive orders
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111141openalex-snapshot
Modeling workers rotation in divisional seru production systems
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111481openalex-snapshot
Online reconfiguration for a hybrid line-seru production system: A two-stage optimization approach
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111644openalex-snapshot
A joint mathematical model for seru production system design
inferred← citeshttps://doi.org/10.1016/j.ejor.2014.01.029openalex-snapshot
Mathematical analysis and solutions for multi-objective line-cell conversion problem
inferred← citeshttps://doi.org/10.1016/j.ejor.2021.06.017openalex-snapshot
Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.02.025openalex-snapshot
Multi-objective cooperative co-evolution algorithm with hypervolume-based Q-learning for hybrid seru system
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.07.031openalex-snapshot
Designing and organizing a high-performance divisional seru considering learning and forgetting effect under stochastic processing requirements
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.12.022openalex-snapshot
A branch-and-price-and-cut algorithm for divisional seru formation and scheduling problem considering section construction
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121993openalex-snapshot
Parallel dynamic NSGA-II with multi-population search for rescheduling of Seru production considering schedule changes under different dynamic events
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134158openalex-snapshot
Adaptive Multi-Objective rescheduling in seru Systems: Learning Decision-Maker preferences through Case-Based reasoning
inferred← citeshttps://doi.org/10.1016/j.ifacol.2016.07.627openalex-snapshot
A Fundamental Positive Investigation into Japanese Seru Production Systems
inferred← citeshttps://doi.org/10.1016/j.jclepro.2014.03.033openalex-snapshot
Production planning of multi-stage multi-option seru production systems with sustainable measures
inferred← citeshttps://doi.org/10.1016/j.jmse.2020.10.002openalex-snapshot
Minimizing makespan of a production batch within concurrent systems: Seru production perspective
inferred← citeshttps://doi.org/10.1016/j.jmse.2021.05.004openalex-snapshot
Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms
inferred← citeshttps://doi.org/10.1016/j.jmse.2023.11.003openalex-snapshot
A nested partitioning-based solution method for seru scheduling problem with resource allocation
inferred← citeshttps://doi.org/10.1016/j.jmsy.2022.09.022openalex-snapshot
Real-time data-driven synchronous reconfiguration of human-centric smart assembly cell line under graduation intelligent manufacturing system
inferred← citeshttps://doi.org/10.1016/j.jom.2017.01.003openalex-snapshot
Lessons from seru production on manufacturing competitively in a high cost environment
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110663openalex-snapshot
A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in seru system
inferred← citeshttps://doi.org/10.1016/j.omega.2016.01.013openalex-snapshot
Effects of key enabling technologies for seru production on sustainable performance
inferred← citeshttps://doi.org/10.1016/j.omega.2021.102581openalex-snapshot
A column generation-based exact solution method for seru scheduling problems
inferred← citeshttps://doi.org/10.1016/j.procs.2018.10.304openalex-snapshot
Selection of Assembly Systems; Assembly Lines vs. Seru Systems
inferred← citeshttps://doi.org/10.1016/j.promfg.2017.02.093openalex-snapshot
Is Seru a Sustainable Manufacturing System?
inferred← citeshttps://doi.org/10.1016/j.promfg.2020.01.361openalex-snapshot
Considering Product Life Cycle Stages and Worker Skill Level in Seru Production Systems
inferred← citeshttps://doi.org/10.1016/j.promfg.2020.01.363openalex-snapshot
A Novel S-F Seru Production Scheme
inferred← citeshttps://doi.org/10.1016/j.promfg.2020.10.079openalex-snapshot
Computer Vision-enabled Human-Cyber-Physical Workstations Collaboration for Reconfigurable Assembly System
inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100900openalex-snapshot
Bi-objective energy-efficient scheduling in a seru production system considering reconfiguration of serus
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101901openalex-snapshot
A learning-based dual-population optimization algorithm for hybrid seru system scheduling with assembly
inferred← citeshttps://doi.org/10.1051/ro/2024195openalex-snapshot
An integrated simulation-data envelopment analysis approach for impact of line-seru conversion
inferred← citeshttps://doi.org/10.1080/00207543.2013.843797openalex-snapshot
Formation of independent manufacturing cells with the consideration of multiple identical machines
inferred← citeshttps://doi.org/10.1080/00207543.2013.876114openalex-snapshot
Sequencing a batching flexible cell to minimise set-up costs
inferred← citeshttps://doi.org/10.1080/00207543.2016.1277594openalex-snapshot
Minimising total cost for training and assigning multiskilled workers in seru production systems
inferred← citeshttps://doi.org/10.1080/00207543.2017.1370150openalex-snapshot
A control theoretical modelling for velocity tuning of the conveyor belt in a dynamic mixed-model assembly line
inferred← citeshttps://doi.org/10.1080/00207543.2017.1403664openalex-snapshot
The evolution of production systems from Industry 2.0 through Industry 4.0
inferred← citeshttps://doi.org/10.1080/00207543.2019.1683251openalex-snapshot
Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem
inferred← citeshttps://doi.org/10.1080/00207543.2022.2054744openalex-snapshot
An effective heuristic based on 3- opt strategy for seru scheduling problems with learning effect
inferred← citeshttps://doi.org/10.1080/00207543.2022.2149873openalex-snapshot
Modelling and numerical analysis for seru system balancing with lot splitting
inferred← citeshttps://doi.org/10.1080/01605682.2021.1939172openalex-snapshot
Improved genetic-simulated annealing algorithm for seru loading problem with downward substitution under stochastic environment
inferred← citeshttps://doi.org/10.1080/01605682.2021.1999182openalex-snapshot
Scheduling controllable processing time jobs in seru production system with resource allocation
inferred← citeshttps://doi.org/10.1080/01605682.2023.2182723openalex-snapshot
RETRACTED ARTICLE: A nonanticipatory policy for stochastic seru scheduling problems
inferred← citeshttps://doi.org/10.1080/01605682.2023.2253852openalex-snapshot
Operational Research: methods and applications
inferred← citeshttps://doi.org/10.1080/0951192x.2022.2078514openalex-snapshot
Smart seru production system for Industry 4.0: a conceptual model based on deep learning for real-time monitoring and controlling
inferred← citeshttps://doi.org/10.1080/21681015.2023.2167875openalex-snapshot
A genetic-simulated annealing algorithm for stochastic seru scheduling problem with deterioration and learning effect
inferred← citeshttps://doi.org/10.1108/aa-04-2022-0087openalex-snapshot
Assembly line-Seru conversion in the C2M enterprise: an empirical study in China
inferred← citeshttps://doi.org/10.1108/imds-07-2017-0303openalex-snapshot
Cross-trained worker assignment and comparative analysis on throughput of divisional and rotating seru
inferred← citeshttps://doi.org/10.1109/access.2024.3484955openalex-snapshot
A New Model for Assembly Task Recognition: A Case Study of Seru Production System
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10587919openalex-snapshot
Hyper-heuristic Algorithm based on ε-Greedy for Solving the Online Seru Scheduling Problem *
inferred← citeshttps://doi.org/10.1109/iai55780.2022.9976524openalex-snapshot
Flexibility of Seru Production System: An Input-Process-Output System View
inferred← citeshttps://doi.org/10.1109/ieem.2016.7798039openalex-snapshot
Seru loading with worker-operation assignment in single period
inferred← citeshttps://doi.org/10.1109/ieem.2018.8607607openalex-snapshot
Reliability Analysis for a Divisional Seru Production System with Stochastic Capacity
inferred← citeshttps://doi.org/10.1109/tevc.2024.3432745openalex-snapshot
A Branch-and-Bound Enhanced Cooperative Evolutionary Algorithm for the Hybrid Seru System Scheduling Considering Worker Heterogeneity
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3572389openalex-snapshot
Real-Time Data-Driven Hybrid Synchronization for Integrated Planning, Scheduling, and Execution Toward Industry 5.0 Human-Centric Manufacturing
inferred← citeshttps://doi.org/10.1111/itor.13245openalex-snapshot
Celebrating 30 years of International Transactions in Operational Research
inferred← citeshttps://doi.org/10.1111/itor.13309openalex-snapshot
Systematic reviews as a metaknowledge tool: caveats and a review of available options
inferred← citeshttps://doi.org/10.1111/poms.12590openalex-snapshot
Knowledge Creation and Dissemination in Operations and Supply Chain Management
inferred← citeshttps://doi.org/10.1155/2016/9748378openalex-snapshot
Formulations, Features of Solution Space, and Algorithms for Line-PureSeruSystem Conversion
inferred← citeshttps://doi.org/10.1155/2019/4036794openalex-snapshot
Analysis of the Effect of the Line‐Seru Conversion on the Waiting Time with Batch Arrival
inferred← citeshttps://doi.org/10.1186/s40064-016-2445-5openalex-snapshot
Complexity of line-seru conversion for different scheduling rules and two improved exact algorithms for the multi-objective optimization
inferred← citeshttps://doi.org/10.17341/gazimmfd.1220997openalex-snapshot
Seru üretim sistemi ile montaj hattı üretim sisteminin farklı işgücü yetkinlik seviyelerinde istatistiksel olarak karşılaştırılması
inferred← citeshttps://doi.org/10.17341/gazimmfd.1745136openalex-snapshot
Akıllı SERU sistemleri: DeJong öğrenme etkisi ile çok dönemli üretim planlaması yeniliği
inferred← citeshttps://doi.org/10.17341/gazimmfd.603882openalex-snapshot
Seru üretim sistemlerinde yükleme problemi için karışık tamsayılı bir matematiksel model ve mat-sezgisel çözüm yaklaşımı
inferred← citeshttps://doi.org/10.17494/ogusbd.1303118openalex-snapshot
Geleneksel Montaj Üretim Sisteminin Hat-Seru Modeline Dönüştürülmesi: Çikolata Üretiminde Seru Üretim Sistemi
inferred← citeshttps://doi.org/10.24425/mper.2021.139995openalex-snapshot
Seru Production System: A Review and Projections for Future Research
inferred← citeshttps://doi.org/10.2478/emj-2018-0017openalex-snapshot
Seru production as an alternative to a traditional assembly line
inferred← citeshttps://doi.org/10.3390/pr12010038openalex-snapshot
Optimizing Production Schedules: Balancing Worker Cooperation and Learning Dynamics in Seru Systems
inferred← citeshttps://doi.org/10.37880/cumuiibf.616999openalex-snapshot
YENİ BİR ÜRETİM SİSTEMİ: SERU
inferred← citeshttps://doi.org/10.3934/jimo.2019134openalex-snapshot
Simulated annealing and genetic algorithm based method for a bi-level seru loading problem with worker assignment in seru production systems
inferred← citeshttps://doi.org/10.3934/jimo.2023139openalex-snapshot
An exact branch-and-bound algorithm for seru scheduling problem with sequence-dependent setup time and release date
inferred← citeshttps://doi.org/10.3934/jimo.2024114openalex-snapshot
Flexible matching of multi-skilled workers and operation units in the hybrid rotating seru production system: An optimization model-based method
inferred← citeshttps://doi.org/10.3934/jimo.2025098openalex-snapshot
Lagrangian relaxation for SERU scheduling problem with a time-dependent learning effect
inferred← citeshttps://doi.org/10.3934/jimo.2025172openalex-snapshot
Seru scheduling with mixed uncertainty of randomness and fuzziness
inferred← citeshttps://doi.org/10.4018/978-1-7998-5768-6.ch005openalex-snapshot
Seru Production System
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.