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Armin Cheraghalipour, M. Paydar, Mostafa Hajaghaei-Keshteli (2018)
A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithmsAppl. Soft Comput., 69
J. Hunt, M. Freitas, A. Junior (2014)
Enhanced-Pumped-Storage: Combining pumped-storage in a yearly storage cycle with dams in cascade in BrazilEnergy, 78
Abdelhamid Boudjelida (2019)
On the robustness of joint production and maintenance scheduling in presence of uncertaintiesJournal of Intelligent Manufacturing, 30
M. Shafiee, R. Ghazi, M. Moeini‐Aghtaie (2019)
Day-ahead Resource Scheduling in Distribution Networks with Presence of Electric Vehicles and Distributed Generation UnitsElectric Power Components and Systems
M. Sheikhalishahi, N. Eskandari, A. Mashayekhi, A. Azadeh (2019)
Multi-objective open shop scheduling by considering human error and preventive maintenanceApplied Mathematical Modelling
B. Bouslah, A. Gharbi, R. Pellerin (2016)
Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraintOmega-international Journal of Management Science, 61
Jian Liu, Jianjun Shi, S. Hu (2009)
Quality-assured setup planning based on the stream-of-variation model for multi-stage machining processesIIE Transactions, 41
Eduardo Gilabert, Egoitz Konde, B. Sierra, A. Arnaiz (2018)
A multi-stage optimization algorithm for standardization of maintenance plansIFAC-PapersOnLine, 51
M. Hajiaghaei-Keshteli, M. Aminnayeri (2013)
Keshtel algorithm (KA); a new optimization algorithm inspired by keshtels’ feedingPaper presented at the Proceeding in IEEE conference on industrial engineering and management systems
S. Sana (2012)
Preventive maintenance and optimal buffer inventory for products sold with warranty in an imperfect production systemInternational Journal of Production Research, 50
L. Jafari, V. Makis (2016)
Optimal lot-sizing and maintenance policy for a partially observable production systemComput. Ind. Eng., 93
M. Haoues, M. Dahane, N. Mouss (2019)
Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraintsJournal of Intelligent Manufacturing, 30
Sirikarn Chansombat, P. Pongcharoen, C. Hicks (2019)
A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industryInternational Journal of Production Research, 57
Victoria Achkar, Vanina Cafaro, C. Méndez, Diego Cafaro (2019)
Discrete-Time MILP Formulation for the Optimal Scheduling of Maintenance Tasks on Oil and Gas Production AssetsIndustrial & Engineering Chemistry Research
Z. Guiras, Z. Hajej, N. Rezg, A. Dolgui (2018)
Comparative Analysis of Heuristic Algorithms Used for Solving a Production and Maintenance Planning Problem (PMPP)Applied Sciences
A. Aguirre, L. Papageorgiou (2018)
Medium-term optimization-based approach for the integration of production planning, scheduling and maintenanceComput. Chem. Eng., 116
Andisheh Abdi, Anita Abdi, Navid Akbarpour, A. Amiri, M. Hajiaghaei-Keshteli (2020)
Innovative approaches to design and address green supply chain network with simultaneous pick-up and split deliveryJournal of Cleaner Production, 250
G. Martínez-Lucas, J. Pérez-Díaz, Manuel Chazarra, J. Sarasúa, G. Cavazzini, G. Pavesi, G. Ardizzon (2019)
Risk of penstock fatigue in pumped-storage power plants operating with variable speed in pumping modeRenewable Energy
F. Berthaut, A. Gharbi, K. Dhouib (2011)
Joint modified block replacement and production/inventory control policy for a failure-prone manufacturing cellOmega-international Journal of Management Science, 39
M. Vasconcelos, Pedro Beires, C. Moreira, J. Lopes (2019)
Dynamic security of islanded power systems with pumped storage power plants for high renewable integration – A study caseThe Journal of Engineering
K. Deb, S. Agrawal, Amrit Pratap, T. Meyarivan (2002)
A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Trans. Evol. Comput., 6
C. Fata, G. Passannanti (2017)
A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policiesThe International Journal of Advanced Manufacturing Technology, 91
Hamidreza Maghsoudlou, B. Afshar-Nadjafi, S. Niaki (2016)
A multi-objective invasive weeds optimization algorithm for solving multi-skill multi-mode resource constrained project scheduling problemComput. Chem. Eng., 88
Seyyed Amiri, A. Zahedi, Morteza Kazemi, Javad Soroor, M. Hajiaghaei-Keshteli (2020)
Determination of the optimal sales level of perishable goods in a two-echelon supply chain networkComput. Ind. Eng., 139
(2008)
Non-dominated ranked genetic algorithm for solving multiobjective optimization problems. Paper presented at the NRGA
Anita Abdi, Andisheh Abdi, A. Fathollahi-Fard, M. Hajiaghaei-Keshteli (2019)
A set of calibrated metaheuristics to address a closed-loop supply chain network design problem under uncertaintyInternational Journal of Systems Science: Operations & Logistics
Lei Zhang, Jian Zhang, Xiao-dong Yu, Jiawen Lv, Xiaoying Zhang (2019)
Transient Simulation for a Pumped Storage Power Plant Considering Pressure Pulsation Based on Field TestEnergies
R. Martinod, O. Bistorin, L. Castañeda, N. Rezg (2018)
Maintenance policy optimisation for multi-component systems considering degradation of components and imperfect maintenance actionsComput. Ind. Eng., 124
G. Cheng, Binghai Zhou, Ling Li (2018)
Integrated production, quality control and condition-based maintenance for imperfect production systemsReliab. Eng. Syst. Saf., 175
H. Rivera-Gómez, A. Gharbi, J. Kenné, Oscar Montaño-Arango, Eva Hernández-Gress (2018)
Subcontracting strategies with production and maintenance policies for a manufacturing system subject to progressive deteriorationInternational Journal of Production Economics
S. Kirkpatrick, C. Gelatt, Mario Vecchi (1983)
Optimization by Simulated AnnealingScience, 220
Kaican Kang, V. Subramaniam (2018)
Joint control of dynamic maintenance and production in a failure-prone manufacturing system subjected to deteriorationComput. Ind. Eng., 119
Robert Glawar, M. Karner, Tanja Nemeth, Kurt Matyas, W. Sihn (2018)
An Approach for the Integration of Anticipative Maintenance Strategies within a Production Planning and Control ModelProcedia CIRP, 67
A. Hamrol (2018)
A new look at some aspects of maintenance and improvement of production processesManagement and Production Engineering Review, 9
J. Mennemann, L. Marko, Jakob Schmidt, W. Kemmetmüller, A. Kugi (2021)
Nonlinear Model Predictive Control of a Variable-Speed Pumped-Storage Power PlantIEEE Transactions on Control Systems Technology, 29
Jong-Yoon Kim, S. Gershwin (2008)
Analysis of long flow lines with quality and operational failuresIIE Transactions, 40
M. Schreiber, J. Klöber-Koch, C. Richter, G. Reinhart (2018)
Integrated Production and Maintenance Planning for Cyber-physical Production SystemsProcedia CIRP, 72
Qinming Liu, M. Dong, F. Chen, Wenyuan Lv, C. Ye (2018)
Single-machine-based joint optimization of predictive maintenance planning and production schedulingRobotics and Computer-Integrated Manufacturing
S. Amiri, M. Honarvar, A. Sadegheih (2018)
Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenanceEnergy
G. Kopanos, L. Puigjaner (2018)
Integrated Operational and Maintenance Planning of Production and Utility SystemsSolving Large-Scale Production Scheduling and Planning in the Process Industries
S. Hadayeghparast, Alireza Farsangi, H. Shayanfar (2019)
Day-ahead stochastic multi-objective economic/emission operational scheduling of a large scale virtual power plantEnergy
Kadir Ertogral, F. Öztürk (2019)
An integrated production scheduling and workforce capacity planning model for the maintenance and repair operations in airline industryComput. Ind. Eng., 127
Ahmed Elgamal, Gudrun Kocher-Oberlehner, V. Robu, M. Andoni (2019)
Optimization of a multiple-scale renewable energy-based virtual power plant in the UKApplied Energy
M. Hajiaghaei-Keshteli, M. Aminnayeri (2014)
Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithmAppl. Soft Comput., 25
A. Rahmati, A. Pawlik, Milan Raivcevi'c, J. Schaye (2012)
On the evolution of the H i column density distribution in cosmological simulationsMonthly Notices of the Royal Astronomical Society, 430
S. Opricovic, G. Tzeng (2003)
Defuzzification within a Multicriteria Decision ModelInt. J. Uncertain. Fuzziness Knowl. Based Syst., 11
Özge Akkaş, E. Çam (2019)
Optimal Operation of Virtual Power Plant in a Day Ahead Market2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
S. Özyön (2020)
Optimal short-term operation of pumped-storage power plants with differential evolution algorithmEnergy, 194
Kurt Matyas, Tanja Nemeth, Klaudia Kovacs, Robert Glawar (2017)
A procedural approach for realizing prescriptive maintenance planning in manufacturing industriesCirp Annals-manufacturing Technology, 66
R. Ahmadi (2019)
An integrated approach to maintenance scheduling of multi-state production systems subject to deteriorationIma Journal of Management Mathematics, 30
Yunna Wu, Ting Zhang, Chuanbo Xu, Buyuan Zhang, Lingwenying Li, Yiming Ke, Yudong Yan, Ruhang Xu (2019)
Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage frameworkEnergy Conversion and Management
Weiwei Yao, Changhong Deng, Dinglin Li, Man Chen, Peng Peng, and Zhang (2019)
Optimal Sizing of Seawater Pumped Storage Plant with Variable-Speed Units Considering Offshore Wind Power AccommodationSustainability
P. Loni, A. Khamseh, Seyyed Pasandideh (2018)
A new multi-objective/product green supply chain considering quality level reprocessing costInternational Journal of Services and Operations Management, 30
M. Gen, Fulya Altiparmak, Lin Lin (2006)
A genetic algorithm for two-stage transportation problem using priority-based encodingOR Spectrum, 28
Jinn-Chang Wu, H. Jou, Tse-Yu Lin (2019)
New DC Hybrid Filter for Attenuating Low-Frequency Ripple of AC-DC Power ConverterElectric Power Components and Systems, 47
Shuangrui Yin, Q. Ai, Z. Li, Yufan Zhang, Tianguang Lu (2020)
Energy management for aggregate prosumers in a virtual power plant: A robust Stackelberg game approachInternational Journal of Electrical Power & Energy Systems, 117
N. Karimi, M. Zandieh, H. Karamooz (2010)
Bi-objective group scheduling in hybrid flexible flowshop: A multi-phase approachExpert Syst. Appl., 37
S. Xiao, Zhixiang Chen, B. Sarker (2019)
Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product qualityInternational Journal of Quality & Reliability Management
Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity.Design/methodology/approachIn this paper, the optimization of energy production and maintenance costs in one of the large Iranian PSH has been discussed. Hence, a mathematical model mixed integer nonlinear programming developed in this area. Minimizing the difference in supply and demand in the energy production network to multiple energies has been exploited to optimal attainment scheme. To evaluate the model, exact solution CPLEX and to solve the proposed programming model, the efficient metaheuristics are utilized by the tuned parameters achieved from the Taguchi approach. Further analysis of the parameters of the problem is conducted to verify the model behavior in various test problems.FindingsThe results of this paper have shown that the meta-heuristic algorithm has been done in a suitable time, despite the approximation of the optimal answer, and the consequences of research indicate that the model proposed in the studied power plant is applicable.Originality/valueIn pumped-storage hydroelectricity plants, one of the main challenges in energy production issues is the development of production, maintenance and repair scheduling concepts that improves plant efficiency. To evaluate the mathematical model presented, exact solution CPLEX and to solve the proposed bi-objective mixed-integer linear programming model, set of efficient metaheuristics are used. Therefore, according to the level of optimization performed in the case study, it has caused the improvement of planning by 7%–12% and effective optimization processes.
Journal of Modelling in Management – Emerald Publishing
Published: Nov 29, 2022
Keywords: Production; Energy; Maintenance; Heuristics; Production planning; Maintenance and rehabilitation; Pumped-storage hydroelectricity; Meta-heuristic algorithm
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