Yayınlar – Yaşar Üniversitesi – Endüstri Mühendisliği Bölümü
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Yayınlar

Bölümümüzün yetkinliğini uluslararası bilim çevrelerinde kabul ettirmiş akademik kadrosu her yıl saygın bilimsel yayınları ile evrensel bilime katkılarını sunmaya devam ediyorlar. Bölümümüzün bilimsel araştırmaları lojistik, üretim planlama, envanter kontrolü, çizelgeleme, tedarik zinciri yönetimi, liman operasyonları ve askeri harekat analizi gibi farklı uygulama alanlarında matematiksel programlama, rassal süreçler ve benzetime dayalı modelleme, analiz ve çözüm yöntemleri üzerine yoğunlaşmıştır. Uluslararası indeksli (SCI, SCI-E ve SSCI) hakemli dergilerde 2011 yılından bu yana yayımlanan çalışmalarımız aşağıda listelenmektedir:

 

  • Çataltuğ B., Çorapcı S,. Kandiller L., Keremit F.K., Kırbaş G.B, Ötleş Ö., Tucu H., Yüksel D., (2022), Chapter 53: “A Discrete-Time Resource Allocated Project Scheduling Model”, In: Durakbasa N.M., Gençyılmaz M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham.  616-629.
  • Yıldız B., Kandiller L., Toy A.Ö., (2022), Chapter 69: “Uniform Parallel Machine Scheduling with Sequence Dependent Setup Times: A Randomized Heuristic”, In: Durakbasa N.M., Gençyılmaz M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. 812-825.
  • Özen Z.İ., Tengerlek B.S., Yüksel D., Staiou E., Kandiller L., (2022), Chapter 71: “Water Resource Management Using a Multiperiod Water Pricing Model in Izmir District”, In: Durakbasa N.M., Gençyılmaz M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. 837-847.
  • Karabulut K., Öztop H, Kizilay D, Tasgetiren MF, Kandiller L, “An evolution strategy approach for the distributed permutation flowshop scheduling problem with sequence-dependent setup times”, Computers & Operations Research, 142 (2022) 105733
  • Karabulut K.,Kizilay D,Tasgetiren MF,GaoL., Kandiller L., “An evolution strategy approach for the distributed blocking flowshop scheduling problem”, Computers & Industrial Engineering, Volume 163, (January 2022) 107832
  • Öztop H, Taşgetiren M.F., Kandiller L, Quan-Ke Pan, “Metaheuristics with restart and learning mechanisms for the no-idle flowshop scheduling problem with makespan criterion”, Computers & Operations Research, 138 (2022) 105616
  • Saracalıoğlu, N., Sonbahar, Y., Akdeniz, G. A., Ünsal, M., Yıldız, Y. Y., Çakmakçı, S. K., … & Hökenek, C. (2022). Production and Inventory Control of Assemble-to-Order Systems. In Digitizing Production Systems (pp. 757-771). Springer, Cham.
  • Tanel, A., Kınay, B., Karakul, D., Özyörük, E., İskifoğlu, E., Özoğul, E., … & Örnek, M. A. (2022). Capacitated Vehicle Routing Problem with Time Windows. In Digitizing Production Systems (pp. 653-664). Springer, Cham.
  • Kaya, B., Dural, D., Sağer, M., Akdoğan, M., İldeşler, A. B., Paldrak, M., & Ekren, B. Y. (2022). Optimal Inventory Share Policy Search for e-Grocery Food Supply Network. In Digitizing Production Systems (pp. 735-746). Springer, Cham.
  • Erdoğan, A., Talı, A., Kırcalı, B., Günal, B., Dedecengiz, E. N., Yüksel, D., & Ekren, B. Y. (2022). Parallel Workforce Assignment Problem for Battery Production. In Digitizing Production Systems (pp. 747-756). Springer, Cham.
  • Güntez, B., İşgüzerer, G., Güşeç, Ç., Özen, M., Paldrak, M., & Ekren, B. Y. (2022). Storage and Order Picking Process Design for Perishable Foods in a Cold Warehouse. In Digitizing Production Systems (pp. 800-811). Springer, Cham.
  • Kazancoglu, Y., Ozbiltekin-Pala, M., Sezer, M. D., Ekren, B. Y., & Kumar, V. (2022). Assessing the Impact of COVID-19 on Sustainable Food Supply Chains. Sustainability, 14(1), 143.
  • Canbaz, C. H., Ekren, O., Ekren, B. Y., & Kumar, V. (2022). Evaluation of fuel production technologies by using renewable energy for smart cities. In Smart Cities Policies and Financing (pp. 457-470). Elsevier.
  • Srivastava, D. K., Kumar, V., Ekren, B. Y., Upadhyay, A., Tyagi, M., & Kumari, A. (2022). Adopting Industry 4.0 by leveraging organisational factors. Technological Forecasting and Social Change, 176, 121439.
  • Küçükyaşar, M., Ekren, B. Y., & Lerher, T. (2021). Energy efficient automated warehouse design. In Solving Urban Infrastructure Problems Using Smart City Technologies (pp. 269-292). Elsevier.
  • Ekren, B. Y., & Akpunar, A. (2021). An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling, 89, 1678-1695.
  • Jerman, B., Ekren, B. Y., Küçükyaşar, M., & Lerher, T. (2021). Simulation-based performance analysis for a novel avs/rs technology with movable lifts. Applied Sciences, 11(5), 2283.
  • İzmirli, D., Ekren, B. Y., Kumar, V., & Pongsakornrungsilp, S. (2021). Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies. Sustainability, 13(5), 2875.
  • Arslan, B., & Ekren, B. Y. (2021). Smart transaction picking in tier-to-tier SBS/RS by deep Q-learning. In Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management Singapore, March 7-11, 2021 (pp. 6415-6425). IEOM Society.
  • Turhanlar, E. E., Yetkin Ekren, B., & Lerher, T. (2021). Aisle-to-aisle design for SBS/RS under smart deadlock control policies.
  • Yang, J., Kumar, V., Ekren, B., & Kuzmin, E. (2021). Understanding the Role of Digital Technologies in Supply Chain Risks Management. In Digital Transformation in Industry (pp. 133-146). Springer, Cham.
  • Shi, R., Kumar, V., & Ekren, B. (2021). Impact of New Technology on Sustainability of Supply Chains: Empirical Evidence from Manufacturing SMEs in China. In Digital Transformation in Industry (pp. 109-121). Springer, Cham.
  • Arslan, B., & Ekren, B. Y. (2021). A Machine Learning Application for Transaction Picking in a Tier-to-tier SBS/RS.
  • Yetkin Ekren, B. (2021). A multi-objective optimisation study for the design of an AVS/RS warehouse. International Journal of Production Research, 59(4), 1107-1126.
  • Ekren, B. Y., Mangla, S. K., Turhanlar, E. E., Kazancoglu, Y., & Li, G. (2021). Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks. Computers & Operations Research, 130, 105237.
  • Tasgetiren, M. F., Oztop, H., Pan, Q. K., Ornek, M. A., & Temizceri, T. (2021). A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion. In Heuristics for Optimization and Learning (pp. 33-49). Springer, Cham.
  • Karakutuk, S. S., Akpinar, S., & Ornek, M. A. (2021). An application of a circular economy approach to design an energy-efficient heat recovery system. Journal of Cleaner Production, 320, 128851.
  • Yücel, Ö., & Bulut, Ö. (2021). Exact analysis of production lines with Coxian-2-distributed processing times and parallel machines. Computers & Industrial Engineering, 107471.
  • Aygün, N. K., Bulut, Ö., & Bıyık, E. (2021). A Framework for Capacity Expansion Planning in Failure-Prone Flow-Networks via Systemic Risk Analysis. IEEE Systems Journal.
  • Demir D. et al. (2021) Production Scheduling at a Powder Coating Company. In: Durakbasa N.M., Gençyılmaz M.G. (eds) Digital Conversion on the Way to Industry 4.0. ISPR 2020. Lecture Notes in Mechanical Engineering. Springer, Cham.
  • Öztop H, Karabulut K., Kandiller L, Taşgetiren M.F., “Modeling and Optimization of Multiple Traveling Salesmen Problems: An Evolution Strategy Approach”, Computers & Operations Research, Vol. 129, May, 2021
  • Gemici S., Otuzbir E., Koçyiğit A., Pekelli S., Tüzmen F., Öztop H., and Kandiller L., (2021), Chapter 65: “A Multi-sided and Multi-model Assembly Line Balancing Problem”, Digital Conversion on the Way to Industry 4.0. ISPR 2020. Lecture Notes in Mechanical Engineering. Springer, Cham., edited by Durakbasa N.M., Gençyılmaz M.G. (eds), 777-789, ISBN: 978-3-030-62783-6, ISBN(ebook): 978-3-030-62784-3
  • Yüksel, D., Taşgetiren, M.F., Kandiller, L., & Gao, L. (2020). An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption. Computers & Industrial Engineering, Volume 145, 106431.
  • Özkan, S., & Bulut, Ö. (2020). Hazırlık maliyetli stoğa-üretim sistemlerinin kontrolü. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 35(3), 1199-1212.
  • Öztop, H., Tasgetiren, M. F., Kandiller, L., Eliiyi, D. T., & Gao, L. (2020). Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption. Swarm and Evolutionary Computation, 54, 100660.
  • Öztop, H., Tasgetiren, M. F., Eliiyi, D. T., Pan, Q. K., & Kandiller, L. (2020). An Energy-Efficient Permutation Flowshop Scheduling Problem. Expert Systems with Applications, 150, 113279.
  • Ekren, B. Y. (2019). A Simulation-based Experimental Design for SBS/RS Warehouse Design by Considering Energy Related Performance Metrics. Simulation Modelling Practice and Theory, 101991.
  • Öztop, H., Tasgetiren, M. F., Eliiyi, D. T., & Pan, Q. K. (2019). Metaheuristic algorithms for the hybrid flowshop scheduling problem. Computers & Operations Research, 111, 177-196.
  • Ornek, M. A., Ozturk, C., & Sugut, I. (2019). Model-based heuristic for counter assignment problem with operational constrains: A case study. Journal of Air Transport Management, 77, 57-64.
  • Tasar, B., Türsel Eliiyi, D., & Kandiller, L. (2019). Vehicle Routing with Compartments Under Product Incompatibility Constraints. Promet-Traffic&Transportation, 31(1), 25-36.
  • Fadıloğlu, M. M., & Bulut, Ö. (2019). An embedded Markov chain approach to stock rationing under batch orders. Operations Research Letters, 47(2), 92-98.
  • Diao, W., Xue, N., Bhattacharjee, V., Jiang, J., Karabasoglu, O., & Pecht, M. (2018). Active battery cell equalization based on residual available energy maximization. Applied energy, 210, 690-698.p
  • Agarwal, Y., Jain, K., & Karabasoglu, O. (2018). Smart vehicle monitoring and assistance using cloud computing in vehicular Ad Hoc networks. International Journal of Transportation Science and Technology, 7(1), 60-73.
  • Ekren, B. Y., Akpunar, A., Sari, Z., & Lerher, T. (2018). A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling, 63, 109-127.
  • Öztürk, C., Sargut, F. Z. , Örnek, M. A. & Eliiyi, D. T. (2017). Optimisation and heuristic approaches for assigning inbound containers to outbound carriers, Maritime Policy & Management, 44:7, 825-836.
  • Amini, M. H., McNamara, P., Weng, P., Karabasoglu, O., & Xu, Y. (2017). Hierarchical electric vehicle charging aggregator strategy using Dantzig-Wolfe decomposition. IEEE Design & Test, 35(6), 25-36.
  • Ozcan, S., Eliiyi, D. T., & Kandiller, L. (2017). An alternative MILP model for makespan minimization on assembly lines. Optimization Letters, 11(4), 781-799.
  • Yetkin Ekren, B. (2017). Graph-based solution for performance evaluation of shuttle-based storage and retrieval system. International Journal of Production Research, 55(21), 6516-6526.
  • Kalaycılar, E.G., M. Azizoglu, S. Yeralan, 2015. A Disassembly Line Balancing Problem with Fixed Number of Workstations, European Journal of Operational Research, 249 (2), 592-604.
  • Yeralan, S. 2015. Mathematics, Systems Science, and Engineering for Stem Cell Research, Stem Cell Fundamentals and Practice; 1(1): 10-12, doi: 10.5455/sfp.20150402040321.
  • Isik G., Gokce, M.A., Oner E., 2015. Traffic Signal Timing Optimization with PSO For Signalized Roundabouts. Simulation: Transactions of the Society For Modeling And Simulation International. 91, No.5, 456-466.
  • Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Tasgetiren, M.F., Quan-Ke Pan, Qiang Qiang Sun, 2015. Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion, Computers and Industrial Engineering, 90, 107-117.
  • Kai Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Tasgetiren, M.F., 2015, An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time, International Journal of Production Research, 53 (19), 5896-5911.
  • Ozsakalli G., Ozdemir, D., Ozcan, S., Sarioglu B., Dincer A., 2014. Daily Logistics Planning With Multiple 3PLs: A Case Study in a Chemical Company , Journal of Applied Research and Technology, Vol: 12, No: 5, 985-995.
  • Öztürkoğlu, Ö., Gue, K.R., Meller, R.D., 2014. A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points, European Journal of Operational Research, 236(1), 382-394.
  • Karabulut, K, Tasgetiren M.F., 2014. A variable iterated greedy algorithm for the traveling salesman problem with time windows. Information Sciences Volume: 279, 383-395.
  • Li, Jun-Qing; Pan, Quan-Ke; Tasgetiren, M.F., 2014. A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities. Applied Mathematical Modelling, Volume: 38, Issue: 3, 1111-1132.
  • Secmen, M., Tasgetiren, M.F., 2013. Ensemble of differential evolution algorithms for electromagnetic target recognition problem. Radar Sonar And Navigation Volume: 7, Issue: 7, 780-788.
  • Tasgetiren, M. F., Pan, Quan-Ke; Suganthan, P. N., Buyukdagli, O., 2013. A variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem. Computers & Operations Research Volume: 40, Issue: 7, Pages: 1729-1743.
  • Tasgetiren, M. F., Pan, Quan-Ke, Suganthan, P. N., 2013. A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion. Applied Mathematical Modelling Volume: 37, Issue: 10-11, 6758-6779.
  • Bulut O., Tasgetiren M.F., 2013. An Artificial Bee Colony Algorithm For the Economic Lot Scheduling Problem. International Journal of Production Research.
  • Tasgetiren, M.F., Quan-Ke Pan, P.N. Suganthan, Oner A., 2013. A Discrete Artificial Bee Colony Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with the Total Tardiness Criterion”, Applied Mathematical Modelling 37 (10-11), 6758-6779
  • Tasgetiren, M.F.; Pan, Quan-Ke; Suganthan, P. N., 2013. A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion. Applied Mathematical Modelling Volume: 37 Issue: 10-11, 6758-6779.
  • Öztürkoğlu, Ö., Gue, K.R., Meller, R.D., 2012. Optimal Unit-Load Warehouse Designs for Single Command Operations, IIE Transactions, 44(6), 459 – 475.
  • Pan, Q., Tasgetiren, M. F., Suganthan, P.,N., Chua, T. J. 2011 A discrete artificial bee colony algorithm for the lot-streaming flowshop scheduling problem. Information Sciences 181 2455–2468.
  • Tasgetiren, M. F., Pan, Q., Suganthan, P.N., Chen, A. H-L. 2011 A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops. Information Sciences 181 3459–3475.
  • Wang, L., Pan, Q., Tasgetiren, M.F. 2011 A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem. Computers & Industrial Engineering 61, 76–83.
  • Pan, Q., Suganthan, P.N., Liang, J.J., Tasgetiren,M.F. 2011. A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. Expert Systems with Applications 38 , 3252–3259.
  • Quan-Ke Pan, P. N. Suganthan, J.J. Liangc and M. F. Tasgetiren, 2011. A local-best harmony search algorithm with dynamic subpopulations, Engineering Optimization, Vol. 00, 1–17
  • Mallipeddi, R., Suganthan,P.N., Pan, Q.K. 2011, Tasgetiren, M.F. Differential evolution algorithm with ensemble of parameters and mutation strategies. Applied Soft Computing 11 1679–1696.
  • Zhao, S.-Z., Suganthan, P.N., Pan, Q., Tasgetiren, M. F. 2011 Dynamic multi-swarm particle swarm optimizer with harmony search. Expert Systems with Applications 38 3735–3742.
  • Bulut O., M.M. Fadiloglu. 2011. Production control and stock rationing for a make-to-stock system with parallel production channels. IIE Transactions 43 432-450.