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Realizing Energy Savings in Integrated Process Planning and Scheduling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A generalized permutation approach to job shop scheduling with genetic algorithms
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Integration of process planning and scheduling in a job shop environment
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Bidding-based multi-agent system for integrated process planning and scheduling: a data-mining and hybrid tabu-SA algorithm-oriented approach
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A cross-entropy-based approach for the optimization of flexible process planning
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Integration of process planning and job shop scheduling with stochastic processing time
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An effective hybrid honey bee mating optimization algorithm for integrated process planning and scheduling problems
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A multi-objective memetic algorithm for integrated process planning and scheduling
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Flow shop scheduling with peak power consumption constraints
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Integrated process planning and scheduling: an enhanced ant colony optimization heuristic with parameter tuning
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Two-generation Pareto ant colony algorithm for multi-objective job shop scheduling problem with alternative process plans and unrelated parallel machines
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Moving towards green and sustainable manufacturing
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A tutorial survey of job-shop scheduling problems using genetic algorithms—I. representation
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Mathematical models for job-shop scheduling problems with routing and process plan flexibility
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A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems
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Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
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A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost
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An object-coding genetic algorithm for integrated process planning and scheduling
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Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development
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An active learning genetic algorithm for integrated process planning and scheduling
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An effective hybrid algorithm for integrated process planning and scheduling
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An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops
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A multi-objective teaching−learning-based optimization algorithm to scheduling in turning processes for minimizing makespan and carbon footprint
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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.2016.03.101openalex-snapshot
A method for minimizing the energy consumption of machining system: integration of process planning and scheduling
inferredcites →https://doi.org/10.1016/j.jclepro.2016.06.097openalex-snapshot
A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving
inferredcites →https://doi.org/10.1016/j.jclepro.2016.07.029openalex-snapshot
Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm
inferredcites →https://doi.org/10.1016/j.jclepro.2017.01.166openalex-snapshot
Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems
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Operation patterns analysis of automotive components remanufacturing industry development in China
inferredcites →https://doi.org/10.1016/j.jclepro.2017.10.342openalex-snapshot
A green scheduling algorithm for flexible job shop with energy-saving measures
inferredcites →https://doi.org/10.1016/j.jclepro.2018.03.254openalex-snapshot
A two-stage optimization method for energy-saving flexible job-shop scheduling based on energy dynamic characterization
inferredcites →https://doi.org/10.1016/j.jclepro.2018.11.021openalex-snapshot
MILP models for energy-aware flexible job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.rcim.2007.12.002openalex-snapshot
Applications of particle swarm optimisation in integrated process planning and scheduling
inferredcites →https://doi.org/10.1016/j.rcim.2013.04.001openalex-snapshot
Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.02.069openalex-snapshot
Promoting sustainability of manufacturing industry through the lean energy-saving and emission-reduction strategy
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A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling
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A linearized polynomial mixed integer programming model for the integration of process planning and scheduling
inferredcites →https://doi.org/10.1080/00207540701450013openalex-snapshot
Operational methods for minimization of energy consumption of manufacturing equipment
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/10.1080/00207543.2011.622310openalex-snapshot
Integrated process planning and scheduling using an imperialist competitive algorithm
inferredcites →https://doi.org/10.1080/00207543.2011.631602openalex-snapshot
A multi-objective optimisation model to integrating flexible process planning and scheduling based on hybrid multi-objective simulated annealing
inferredcites →https://doi.org/10.1080/00207543.2012.720393openalex-snapshot
Integrated process planning and scheduling – multi-agent system with two-stage ant colony optimisation algorithm
inferredcites →https://doi.org/10.1080/00207543.2013.765074openalex-snapshot
A priority scheduling approach for flexible job shops with multiple process plans
inferredcites →https://doi.org/10.1080/00207543.2015.1005248openalex-snapshot
Multi-objective genetic algorithm for energy-efficient job shop scheduling
inferredcites →https://doi.org/10.1080/00207543.2015.1058981openalex-snapshot
Operations scheduling under electricity time-varying prices
inferredcites →https://doi.org/10.1080/00207543.2016.1140917openalex-snapshot
More MILP models for integrated process planning and scheduling
inferredcites →https://doi.org/10.1080/00207543.2016.1262082openalex-snapshot
A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption
inferredcites →https://doi.org/10.1080/00207543.2018.1501166openalex-snapshot
Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
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Disassembly Sequence Planning Considering Fuzzy Component Quality and Varying Operational Cost
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Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model, Mixed-Integer Programming Model, and Dispatching Rules
inferredcites →https://doi.org/10.1115/imece2004-62600openalex-snapshot
An Environmental Analysis of Machining
inferredcites →https://doi.org/10.1162/evco.1999.7.1.1openalex-snapshot
Production Scheduling and Rescheduling with Genetic Algorithms
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Mathematical modeling and a memetic algorithm for the integration of process planning and scheduling considering uncertain processing times
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Quantum-inspired hybrid algorithm for integrated process planning and scheduling
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/10.1287/opre.8.2.219openalex-snapshot
On the Job-Shop Scheduling Problem
inferredcites →https://doi.org/10.3390/pr4030023openalex-snapshot
Development of Chemical Process Design and Control for Sustainability
inferredcites →https://doi.org/10.3390/pr6030025openalex-snapshot
Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants
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Mathematical Modeling and a Hybrid NSGA-II Algorithm for Process Planning Problem Considering Machining Cost and Carbon Emission
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Many-Objective Integrated Process Planning and Scheduling: A New Mixed-Integer Linear Programming Model and Genetic Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-031-43612-3_30openalex-snapshot
Minimizing Peak Energy Demand in Flexible Job Shops
inferred← citeshttps://doi.org/10.1007/s00170-019-04776-xopenalex-snapshot
Energy-efficient integration of process planning and scheduling in discrete parts manufacturing with a heuristic-based two-stage approach
inferred← citeshttps://doi.org/10.1007/s11356-023-27081-3openalex-snapshot
Hybrid evolutionary algorithm for stochastic multiobjective disassembly line balancing problem in remanufacturing
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An innovative approach for resource sharing and scheduling in a sustainable distributed manufacturing system
inferred← citeshttps://doi.org/10.1016/j.cor.2020.105053openalex-snapshot
Integration of process planning and scheduling for distributed flexible job shops
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A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system
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An efficient multi-objective adaptive large neighborhood search algorithm for solving a disassembly line balancing model considering idle rate, smoothness, labor cost, and energy consumption
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An investigation into the method of energy monitoring and reduction for machining systems
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A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop
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A Neutrosophic Number-Based Memetic Algorithm for the Integrated Process Planning and Scheduling Problem With Uncertain Processing Times
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Multi-Objective Population-based Optimization Algorithms for Scheduling of Manufacturing Entities
inferred← citeshttps://doi.org/10.1109/tii.2022.3193866openalex-snapshot
An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory
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Shop scheduling in manufacturing environments: a review
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Integrated Optimization Method of IPPS under TOU and Tiered Electricity Price
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A Survey on Variable Neighborhood Search for Sustainable Logistics
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A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems
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Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods
inferred← citeshttps://doi.org/10.3390/en13236181openalex-snapshot
Multi-Objective Optimization of Integrated Process Planning and Scheduling Considering Energy Savings
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A Simulation Model of Power Demand Management by Manufacturing Enterprises under the Conditions of Energy Sector Transformation
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Design and Optimization of a Process for the Production of Methyl Methacrylate via Direct Methylation
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Numerical Study on Separation Performance of Cyclone Flue Used in Grate Waste Incinerator
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Special Issue on “Energy, Economy and Environment for Industrial Production Processes”
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Disassembly Sequence Planning for Intelligent Manufacturing Using Social Engineering Optimizer
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Evaluating the Influence of Energy Consumption on Process Plan Attributes
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