On the public citation graph

A hybrid genetic algorithm with variable neighborhood search for dynamic integrated process planning and scheduling

0 signed · 104 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-642-30947-2_35openalex-snapshot
A Multi-Agent System for Dynamic Integrated Process Planning and Scheduling Using Heuristics
inferredcites →https://doi.org/10.1007/bf01471363openalex-snapshot
Integration of process planning and scheduling functions
inferredcites →https://doi.org/10.1007/s00170-007-1354-8openalex-snapshot
An effective hybrid genetic algorithm for the job shop scheduling problem
inferredcites →https://doi.org/10.1007/s00170-011-3409-0openalex-snapshot
An improved genetic algorithm for integrated process planning and scheduling
inferredcites →https://doi.org/10.1007/s00170-012-4572-7openalex-snapshot
Application of an efficient modified particle swarm optimization algorithm for process planning
inferredcites →https://doi.org/10.1007/s00170-014-6669-7openalex-snapshot
Integration of process planning and scheduling using a hybrid GA/PSO algorithm
inferredcites →https://doi.org/10.1007/s00170-015-7069-3openalex-snapshot
An effective hybrid honey bee mating optimization algorithm for integrated process planning and scheduling problems
inferredcites →https://doi.org/10.1007/s001700200087openalex-snapshot
Reactive Recovery of Job Shop Schedules - A Review
inferredcites →https://doi.org/10.1007/s10845-013-0814-2openalex-snapshot
Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem
inferredcites →https://doi.org/10.1016/j.cie.2003.12.006openalex-snapshot
An integrated agent-based approach for responsive control of manufacturing resources
inferredcites →https://doi.org/10.1016/j.cie.2005.01.016openalex-snapshot
Evolutionary algorithm for advanced process planning and scheduling in a multi-plant
inferredcites →https://doi.org/10.1016/j.cie.2009.09.003openalex-snapshot
Integrated process planning and scheduling by an agent-based ant colony optimization
inferredcites →https://doi.org/10.1016/j.cie.2016.03.011openalex-snapshot
Hybrid genetic algorithms for minimizing makespan in dynamic job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.cor.2009.06.008openalex-snapshot
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
inferredcites →https://doi.org/10.1016/j.ejor.2003.08.027openalex-snapshot
Executing production schedules in the face of uncertainties: A review and some future directions
inferredcites →https://doi.org/10.1016/j.eswa.2005.09.073openalex-snapshot
Dynamic shopfloor scheduling in multi-agent manufacturing systems
inferredcites →https://doi.org/10.1016/j.eswa.2009.06.014openalex-snapshot
An agent-based approach for integrated process planning and scheduling
inferredcites →https://doi.org/10.1016/j.eswa.2011.07.019openalex-snapshot
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling
inferredcites →https://doi.org/10.1016/j.eswa.2011.11.074openalex-snapshot
An active learning genetic algorithm for integrated process planning and scheduling
inferredcites →https://doi.org/10.1016/j.ins.2014.11.036openalex-snapshot
Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems
inferredcites →https://doi.org/10.1016/s0305-0548(02)00063-1openalex-snapshot
A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling
inferredcites →https://doi.org/10.1016/s0360-8352(96)00056-3openalex-snapshot
Bidding-based process planning and scheduling in a multi-agent system
inferredcites →https://doi.org/10.1016/s0924-0136(03)00088-8openalex-snapshot
Integration of scheduling with computer aided process planning
inferredcites →https://doi.org/10.1016/s0924-0136(03)00535-1openalex-snapshot
A multi-agent based manufacturing control strategy for responsive manufacturing
inferredcites →https://doi.org/10.1023/a:1022235519958openalex-snapshot
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
inferredcites →https://doi.org/10.1080/00207540110119991openalex-snapshot
Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts
inferredcites →https://doi.org/10.1080/00207540500409723openalex-snapshot
An agent-based negotiation approach to integrate process planning and scheduling
inferredcites →https://doi.org/10.1080/00207540600675801openalex-snapshot
Integrated process planning and scheduling/rescheduling—an agent-based approach
inferredcites →https://doi.org/10.1080/00207540701827905openalex-snapshot
Optimisation of integrated process planning and scheduling using a particle swarm optimisation approach
inferredcites →https://doi.org/10.1080/00207540802662896openalex-snapshot
Dynamic job shop scheduling using variable neighbourhood search
inferredcites →https://doi.org/10.1080/00207543.2010.518741openalex-snapshot
Agent-based dynamic integrated process planning and scheduling in flexible manufacturing systems
inferredcites →https://doi.org/10.1080/00207543.2011.622310openalex-snapshot
Integrated process planning and scheduling using an imperialist competitive algorithm
inferredcites →https://doi.org/10.1080/00207543.2012.751509openalex-snapshot
A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem
inferredcites →https://doi.org/10.1080/00207549308956824openalex-snapshot
A heuristic rescheduling algorithm for computer-based production scheduling systems
inferredcites →https://doi.org/10.1080/002075497195074openalex-snapshot
Rescheduling job shops under random disruptions
inferredcites →https://doi.org/10.1080/002075497196082openalex-snapshot
Production scheduling/rescheduling in flexible manufacturing
inferredcites →https://doi.org/10.1080/09511920600667366openalex-snapshot
A simulated annealing-based optimization approach for integrated process planning and scheduling
inferredcites →https://doi.org/10.1080/09511920903207472openalex-snapshot
A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems
inferredcites →https://doi.org/10.1080/0951192x.2013.834468openalex-snapshot
Process planning and scheduling integration with optimal rescheduling strategies
inferredcites →https://doi.org/10.1081/00207540310001614132openalex-snapshot
Rescheduling strategies for minimizing total weighted tardiness in complex job shops
inferredcites →https://doi.org/10.1287/mnsc.42.6.797openalex-snapshot
A Fast Taboo Search Algorithm for the Job Shop Problem
inferredcites →https://doi.org/10.1299/jamdsm.2.719openalex-snapshot
Integrated Dynamic Process Planning and Scheduling in Flexible Manufacturing Systems via Autonomous Agents
inferredcites →https://doi.org/10.3182/20130619-3-ru-3018.00572openalex-snapshot
Distributed Genetic Algorithm for Integrated Process Planning and Scheduling Based on Multi Agent System

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.4662597openalex-extracted
inferred← citeshttps://doi.org/10.1002/sys.21724openalex-snapshot
Garment production line optimization using production information based on real‐time power monitoring data
inferred← citeshttps://doi.org/10.1007/978-3-319-59280-0_17openalex-snapshot
Hybrid Multiobjective Evolutionary Algorithm with Differential Evolution for Process Planning and Scheduling Problem
inferred← citeshttps://doi.org/10.1007/978-3-319-72113-2_2openalex-snapshot
Literature Review
inferred← citeshttps://doi.org/10.1007/978-981-95-7904-4_96openalex-snapshot
Research on HWOA-Based Flexible Process Planning Problem for Part Manufacturing Under Low Carbon Constraints
inferred← citeshttps://doi.org/10.1007/978-981-99-2011-2_5openalex-snapshot
Intelligent Integration of Process Planning and Scheduling
inferred← citeshttps://doi.org/10.1007/s00170-023-11755-wopenalex-snapshot
Digital twin for energy-efficient integrated process planning and scheduling
inferred← citeshttps://doi.org/10.1007/s00521-022-07411-1openalex-snapshot
Local search genetic algorithm-based possibilistic weighted fuzzy c-means for clustering mixed numerical and categorical data
inferred← citeshttps://doi.org/10.1007/s10845-020-01659-xopenalex-snapshot
Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling
inferred← citeshttps://doi.org/10.1007/s10845-020-01703-wopenalex-snapshot
Mathematical modeling and a hybrid evolutionary algorithm for process planning
inferred← citeshttps://doi.org/10.1007/s10898-017-0536-7openalex-snapshot
Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learning
inferred← citeshttps://doi.org/10.1007/s12652-019-01574-xopenalex-snapshot
A random forest-based job shop rescheduling decision model with machine failures
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102572openalex-snapshot
Embodied AI for dexterity-capable construction Robots: DEXBOT framework
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.02.011openalex-snapshot
Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop
inferred← citeshttps://doi.org/10.1016/j.cie.2017.08.012openalex-snapshot
Bees Algorithm for multi-mode, resource-constrained project scheduling in molding industry
inferred← citeshttps://doi.org/10.1016/j.cie.2019.04.028openalex-snapshot
Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time
inferred← citeshttps://doi.org/10.1016/j.cie.2019.05.012openalex-snapshot
A novel multi-parent order crossover in genetic algorithm for combinatorial optimization problems
inferred← citeshttps://doi.org/10.1016/j.cie.2020.106799openalex-snapshot
Dynamic integrated process planning, scheduling and due-date assignment using ant colony optimization
inferred← citeshttps://doi.org/10.1016/j.cie.2021.107194openalex-snapshot
Two layered approaches integrating harmony search with genetic algorithm for the integrated process planning and scheduling problem
inferred← citeshttps://doi.org/10.1016/j.cie.2021.107254openalex-snapshot
An NSABC algorithm for multi-aisle AS/RS scheduling optimization
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110008openalex-snapshot
A robust optimization approach to multi-period competitive location problem for bank branches considering first-mover advantage
inferred← citeshttps://doi.org/10.1016/j.cjme.2026.100344openalex-snapshot
Online Scheduling for Integrated Process Planning and Scheduling Problem Based on Proximal Policy Optimization
inferred← citeshttps://doi.org/10.1016/j.cor.2022.105731openalex-snapshot
A survey of job shop scheduling problem: The types and models
inferred← citeshttps://doi.org/10.1016/j.cosrev.2022.100512openalex-snapshot
Hybridizations of evolutionary algorithms with Large Neighborhood Search
inferred← citeshttps://doi.org/10.1016/j.engappai.2018.08.011openalex-snapshot
A review of applications of genetic algorithms in operations management
inferred← citeshttps://doi.org/10.1016/j.jii.2022.100364openalex-snapshot
Concurrent local search for process planning and scheduling in the industrial Internet-of-Things environment
inferred← citeshttps://doi.org/10.1016/j.jii.2023.100533openalex-snapshot
Integrated optimization of process planning and scheduling problems based on complex networks
inferred← citeshttps://doi.org/10.1016/j.jmsy.2026.01.004openalex-snapshot
Real-time dynamic integrated process planning and scheduling with reconfigurable manufacturing cells via multi-agent reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.omega.2019.01.003openalex-snapshot
Decomposition algorithms for the integrated process planning and scheduling problem
inferred← citeshttps://doi.org/10.1016/j.rcim.2022.102334openalex-snapshot
Dynamic scheduling method for integrated process planning and scheduling problem with machine fault
inferred← citeshttps://doi.org/10.1016/j.rcim.2024.102919openalex-snapshot
A learning-guided hybrid genetic algorithm and multi-neighborhood search for the integrated process planning and scheduling problem with reconfigurable manufacturing cells
inferred← citeshttps://doi.org/10.1016/j.swevo.2019.100572openalex-snapshot
A three-level particle swarm optimization with variable neighbourhood search algorithm for the production scheduling problem with mould maintenance
inferred← citeshttps://doi.org/10.1016/j.swevo.2020.100820openalex-snapshot
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101843openalex-snapshot
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction
inferred← citeshttps://doi.org/10.1016/j.tre.2018.08.005openalex-snapshot
The dial-a-ride problem with electric vehicles and battery swapping stations
inferred← citeshttps://doi.org/10.1080/00207543.2021.1892230openalex-snapshot
Dynamic hierarchical collaborative optimisation for process planning and scheduling using crowdsourcing strategies
inferred← citeshttps://doi.org/10.1080/00207543.2022.2032451openalex-snapshot
Electric vehicle routing problem with flexible deliveries
inferred← citeshttps://doi.org/10.1080/01605682.2026.2721565openalex-snapshot
Integration of planning and scheduling in silicon industry: A bi-level perspective
inferred← citeshttps://doi.org/10.1080/0951192x.2020.1780318openalex-snapshot
A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem
inferred← citeshttps://doi.org/10.1108/ec-12-2018-0594openalex-snapshot
Multi-objective optimization of bending force preset in cold rolling
inferred← citeshttps://doi.org/10.1109/access.2021.3114712openalex-snapshot
A New Job Shop Scheduling Method for Remanufacturing Systems Using Extended Artificial Bee Colony Algorithm
inferred← citeshttps://doi.org/10.1109/citsm52892.2021.9588940openalex-snapshot
Population Resizing Model on Fitness Improvement Genetic Algorithm (PRoFIGA) Optimation on Food Scheduling
inferred← citeshttps://doi.org/10.1109/icc.2019.8761810openalex-snapshot
Equipment Contention Attack in Cloud Manufacturing Environments and Its Defense
inferred← citeshttps://doi.org/10.1109/icitr.2018.8736128openalex-snapshot
New Approach to Solve Dynamic Job Shop Scheduling Problem Using Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/tase.2024.3369019openalex-snapshot
A Two-Stage Individual Feedback NSGA-III for Dynamic Many-Objective Flexible Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.1109/tsmc.2018.2881686openalex-snapshot
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop
inferred← citeshttps://doi.org/10.1111/itor.13108openalex-snapshot
Shop scheduling in manufacturing environments: a review
inferred← citeshttps://doi.org/10.1155/2018/7948693openalex-snapshot
A Mathematical Model for Multiworkshop IPPS Problem in Batch Production
inferred← citeshttps://doi.org/10.1155/2019/1572614openalex-snapshot
Solving Integrated Process Planning, Dynamic Scheduling, and Due Date Assignment Using Metaheuristic Algorithms
inferred← citeshttps://doi.org/10.1155/2020/6012737openalex-snapshot
A Mathematical Model and Self-Adaptive NSGA-II for a Multiobjective IPPS Problem Subject to Delivery Time
inferred← citeshttps://doi.org/10.1177/1729881420925236openalex-snapshot
Modified honey bees mating optimization algorithm for multi-objective uncertain integrated process planning and scheduling problem
inferred← citeshttps://doi.org/10.1360/ssi-2025-0089openalex-snapshot
A complex and dynamic IPPS computing framework based on meta-scheduling
inferred← citeshttps://doi.org/10.1371/journal.pone.0306024openalex-snapshot
Multi-objective optimization using improved NSGA-II for integrated process planning and scheduling problems in a machining job shop for large-size valve
inferred← citeshttps://doi.org/10.24200/sci.2021.55250.4130openalex-snapshot
A modified integer and categorical PSO algorithm for solving integrated process planning, dynamic scheduling and due date assignment problem
inferred← citeshttps://doi.org/10.3390/app13085190openalex-snapshot
Integrated Optimization of Process Planning and Scheduling for Aerospace Complex Component Based on Honey-Bee Mating Algorithm
inferred← citeshttps://doi.org/10.3390/app7030235openalex-snapshot
A Timed Colored Petri Net Simulation-Based Self-Adaptive Collaboration Method for Production-Logistics Systems
inferred← citeshttps://doi.org/10.3390/buildings13071772openalex-snapshot
Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT
inferred← citeshttps://doi.org/10.3390/sym17060824openalex-snapshot
Enhancing Manufacturing Efficiency Through Symmetry-Aware Adaptive Ant Colony Optimization Algorithm for Integrated Process Planning and Scheduling
inferred← citeshttps://doi.org/10.3934/jimo.2024003openalex-snapshot
Firefly algorithm hybridized with genetic algorithm for multi-objective integrated process planning and scheduling
inferred← citeshttps://doi.org/10.4186/ej.2021.25.10.71openalex-snapshot
Hybrid Genetic Algorithm for Multi-Period Vehicle Routing Problem with Mixed Pickup and Delivery with Time Window, Heterogeneous Fleet, Duration Time and Rest Area
inferred← citeshttps://doi.org/10.5937/tehnika2006733mopenalex-snapshot
Integrated process planning and scheduling in dynamic environment: The state-of-the-art
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.