Gürsel A. Süer - researchr alias

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2023

Cellular manufacturing design 1996-2021: a review and introduction to applications of Industry 4.0Roohollah Younes Sinaki, Azadeh Sadeghi, Hadi Mosadegh, Najat Almasarwah, Gürsel A. Süer. ijpr, 61(16):5585-5636, August 2023. [doi]

2022

Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chainEhsan Ahmadi, Hadi Mosadegh, Reza Maihami, Iman Ghalehkhondabi, Minghe Sun, Gürsel A. Süer. cor, 147:105968, 2022. [doi]

2021

Consideration of processing time dissimilarity in batch-cyclic scheduling of flowshop cellsNajat Almasarwah, Gürsel A. Süer. ijpr, 59(21):6544-6563, 2021. [doi]

Minimizing makespan and flowtime in a parallel multi-stage cellular manufacturing companyIlkay Saracoglu, Gürsel A. Süer, Patrick Gannon. rcim, 72:102182, 2021. [doi]

Assembly System 4.0: Human-Robot Collaboration in Assembly OperationsGürsel A. Süer, Najat Almasarwah, Jesus Pagan, Yuqiu You. ifip5-7 2021: 551-560 [doi]

2020

Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristicsHadi Mosadegh, S. M. T. Fatemi Ghomi, Gürsel A. Süer. eor, 282(2):530-544, 2020. [doi]

Cellular manufacturing design and replenishment strategy in a capacitated supply chain system: A simulation-based analysisAzadeh Sadeghi, Gürsel A. Süer, Roohollah Younes Sinaki, Darin Wilson. candie, 141:106282, 2020. [doi]

2018

A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problemEhsan Ahmadi, Boris Goldengorin, Gürsel A. Süer, Hadi Mosadegh. asc, 65:214-229, 2018. [doi]

Experimental study of seeding in genetic algorithms with non-binary genetic representationSadegh Mirshekarian, Gürsel A. Süer. jim, 29(7):1637-1646, 2018. [doi]

2017

Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problemXin-Chang Hao, Mitsuo Gen, Lin Lin, Gürsel A. Süer. jim, 28(3):833-845, 2017. [doi]

Heuristic approaches for mixed-model sequencing problem with stochastic processing timesHadi Mosadegh, S. M. T. Fatemi Ghomi, Gürsel A. Süer. ijpr, 55(10):2857-2880, 2017. [doi]

A control theoretical modelling for velocity tuning of the conveyor belt in a dynamic mixed-model assembly lineHadi Mosadegh, S. M. T. Fatemi Ghomi, Gürsel A. Süer. ijpr, 55(24):7473-7495, 2017. [doi]

2015

Multi-period cell loading and job sequencing in a cellular manufacturing systemGokhan Egilmez, Gürsel A. Süer. ijaom, 7(2):98-113, 2015. [doi]

Comparison of layered cellular manufacturing system design approachesBulent Erenay, Gürsel A. Süer, Jing Huang, Sripathi Maddisetty. candie, 85:346-358, 2015. [doi]

A dispatching rule-based genetic algorithm for multi-objective job shop scheduling using fuzzy satisfaction levelsJing Huang, Gürsel A. Süer. candie, 86:29-42, 2015. [doi]

Simultaneous optimisation of cell loading and transportation method selection decisionsGürsel A. Süer, Can Çelikbilek, Melih Altun. ijbpscm, 7(4):382-408, 2015. [doi]

A populated local search with differential evolution for blocking flowshop scheduling problemMehmet Fatih Tasgetiren, Quan-ke Pan, Damla Kizilay, Gürsel A. Süer. cec 2015: 2789-2796 [doi]

A differential evolution algorithm with variable neighborhood search for multidimensional knapsack problemMehmet Fatih Tasgetiren, Quan-ke Pan, Damla Kizilay, Gürsel A. Süer. cec 2015: 2797-2804 [doi]

2013

Math modeling and GA approach to simultaneously make overtime decisions, load cells and sequence productsKush Mathur, Gürsel A. Süer. candie, 66(3):614-624, 2013. [doi]

Dual-stage genetic algorithm approach for capacitated lot sizing problemRamadan Saleem, Gürsel A. Süer, Jing Huang. ijaom, 5(4):299-319, 2013. [doi]

Minimizing total tardiness subject to manpower restriction in labor-intensive manufacturing cellsGürsel A. Süer, Kuldip Kamat, Emre Mese, Jing Huang. mcm, 57(3-4):741-753, 2013. [doi]

2012

2011

Analysis of evolutionary process in a lot sizing applicationGürsel A. Süer, Bulent Erenay, Meng-Yun Chen. procedia, 6:159-164, 2011. [doi]

2009

Models for cell loading and product sequencing in labor-intensive cellsGürsel A. Süer, Jeremy Cosner, Amanda Patten. candie, 56(1):97-105, 2009. [doi]

Effects of different fuzzy operators on fuzzy bi-objective cell loading problem in labor-intensive manufacturing cellsGürsel A. Süer, F. Arikan, C. Babayigit. candie, 56(2):476-488, 2009. [doi]

Heuristic procedures and mathematical models for cell loading and scheduling in a shoe manufacturing companyGürsel A. Süer, Ananthanarayanan Subramanian, Jing Huang. candie, 56(2):462-475, 2009. [doi]

2008

Capacitated lot sizing by using multi-chromosome crossover strategyGürsel A. Süer, Fazleena Badurdeen, Nishantha Dissanayake. jim, 19(3):273-282, 2008. [doi]

2005

A hybrid approach of genetic algorithms and local optimizers in cell loadingGürsel A. Süer, Ramon Vazquez, Miguel Cortes. candie, 48(3):625-641, 2005. [doi]

Intra-cell manpower transfers and cell loading in labor-intensive manufacturing cellsGürsel A. Süer, Cihan H. Dagli. candie, 48(3):643-655, 2005. [doi]

PrefaceGürsel A. Süer, Bopaya Bidanda. candie, 48(3):447, 2005. [doi]

2003

Evolutionary programming for minimizing the average flow time in the presence of non-zero ready timesGürsel A. Süer, Ramon Vazquez, Joel Santos. candie, 45(2):331-344, 2003. [doi]

1999

Genetic algorithms in lot sizing decisionsWilliam Hernandez, Gürsel A. Süer. cec 1999: 2280-2286 [doi]

A hybrid approach of genetic algorithms and local optimizers in cell loadingGürsel A. Süer, Ramón Vazquez, Miguel Cortes. cec 1999: 2287-2294 [doi]

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