TY - JOUR AU - Tao, Ze-Jin AU - Koo, Pyung-Hoi TI - A Coordinated Supply Contract for a Two-Echelon Supply Chain Considering Learning Effects JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 14 PY - 2024 IS - 4 SN - 2076-3417 DO - 10.3390/app14041513 UR - https://m2.mtmt.hu/api/publication/34631848 ID - 34631848 N1 - Funding Agency and Grant Number: National Research Foundation of Korea (NRF) funded by the Ministry of Education, Korea Funding text: No Statement Available AB - In a supply chain composed of multiple members, supply chain coordination plays a crucial role in achieving overall optimization and efficiency. Various supply contract forms have been studied in the existing literature to facilitate supply chain coordination. However, most existing literature has established coordination models assuming constant production costs. In reality, per-unit production costs often decrease as production quantity increases, which is called the learning effect. This paper underscores the significance of considering this learning effect in decision-making processes for coordinated supply contracts. We propose a supply contract scheme for channel coordination that incorporates the learning effect within a supply chain comprising a single manufacturer and a single retailer. In this framework, the manufacturer acts as a Stackelberg leader, initiating the process by designing and presenting the contract. The supply contract scheme is designed to ensure that the retailer’s order quantity aligns with the global solution. We also demonstrate how the contract parameters are determined when the relative bargaining powers of the supply chain members are given exogenously in the market. Our findings reveal that contracts with a learning curve can generate additional profits for both the manufacturer and the retailer compared to the existing coordinated contracts with static production costs. This study provides valuable insights into the impact of the learning effect on supply chain efficiency and offers practical implications for supply chain practitioners. LA - English DB - MTMT ER - TY - JOUR AU - Alhomaidhi, Esam TI - Enhancing efficiency and adaptability in mixed model line balancing through the fusion of learning effects and worker prerequisites JF - INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS J2 - INTL JL INDUST ENG COMPUT PY - 2023 PG - 12 SN - 1923-2926 DO - 10.5267/j.ijiec.2023.12.008 UR - https://m2.mtmt.hu/api/publication/34505210 ID - 34505210 N1 - Funding Agency and Grant Number: King Fahd University of Petroleum and Minerals Funding text: Acknowledgement The author wishes to acknowledge the support of King Fahd University of Petroleum and Minerals. AB - This research introduces a comprehensive scheme to tackle the Mixed-Model Assembly Line Balancing Problem (MALBPLW) within manufacturing contexts. The primary aim is to optimize assembly line task assignments by integrating both the learning effect and worker prerequisites. The learning effect recognizes the enhanced efficiency of workers over time due to learning and experience. A novel mathematical model and solution approach are proposed, encompassing factors like cycle time, task interdependencies, worker classifications, and the learning effect. The model endeavors to minimize the overall costs related to both workers and workstations while simultaneously maximizing production efficiency. Experimental assessments are conducted to evaluate the efficacy of this proposed approach. Diverse manufacturing scenarios are inspected, comparing and analyzing cost reductions and production efficiency. The outcomes highlight the effectiveness of this approach in achieving enhanced cost-effectiveness and resource utilization in contrast to conventional methods. This study contributes significantly to advancing assembly line balancing and production planning techniques by presenting a pragmatic framework for optimizing resource usage and reducing costs in manufacturing environments. The knowledge extracted from these discoveries can significantly assist professionals in the industry seeking to improve manufacturing processes and strengthen competitiveness. (c) 2024 by the authors; licensee Growing Science, Canada LA - English DB - MTMT ER - TY - JOUR AU - Li, Yuchen AU - Liu, Dan AU - Kucukkoc, Ibrahim TI - Mixed-model assembly line balancing problem considering learning effect and uncertain demand JF - JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS J2 - J COMPUT APPL MATH VL - 422 PY - 2023 SN - 0377-0427 DO - 10.1016/j.cam.2022.114823 UR - https://m2.mtmt.hu/api/publication/33263126 ID - 33263126 N1 - Export Date: 30 May 2023 Correspondence Address: Liu, D.; School of Accounting, China; email: liudan@cueb.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 71704007, 71901006 Funding details: Beijing Social Science Fund, 19GLC053 Funding text 1: This work was partially supported by the National Natural Science Foundation of China ( 71901006 , 71704007 ), and the Beijing Social Science Fund ( 19GLC053 ). LA - English DB - MTMT ER - TY - JOUR AU - Battaïa, Olga AU - Dolgui, Alexandre TI - Hybridizations in line balancing problems: A comprehensive review on new trends and formulations JF - INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS J2 - INT J PROD ECON VL - 250 PY - 2022 PG - 19 SN - 0925-5273 DO - 10.1016/j.ijpe.2022.108673 UR - https://m2.mtmt.hu/api/publication/33591977 ID - 33591977 N1 - Cited By :2 Export Date: 30 May 2023 CODEN: IJPCE Correspondence Address: Dolgui, A.; IMT Atlantique, France; email: alexandre.dolgui@imt-atlantique.fr Funding details: Agence Nationale de la Recherche, ANR, ANR-21-CE10-0019 Funding text 1: This work was supported by the French National Research Agency (ANR) , project ANR-21-CE10-0019 . LA - English DB - MTMT ER - TY - JOUR AU - Jensolin, J. AU - Gotmare, P.R TI - How cognitive automation of marketing activities can transform the processes of a financial institution JF - ACADEMY OF MARKETING STUDIES JOURNAL J2 - ACAD MARKET STUD J VL - 26 PY - 2022 IS - 1 SP - 1 EP - 3 PG - 3 SN - 1095-6298 UR - https://m2.mtmt.hu/api/publication/33267116 ID - 33267116 LA - English DB - MTMT ER - TY - CHAP AU - Li, Y. TI - ALBP Under Learning Effect and Uncertain Demand T2 - Assembly Line Balancing under Uncertain Task Time and Demand Volatility VL - 8 PB - Springer Verlag für Sozialwissenschaften CY - Singapore SN - 9789811942143 T3 - Engineering applications of computational methods, ISSN 2662-3366 ; 8. PY - 2022 SP - 89 EP - 110 PG - 22 DO - 10.1007/978-981-19-4215-0_5 UR - https://m2.mtmt.hu/api/publication/33267120 ID - 33267120 N1 - Export Date: 24 November 2022 Correspondence Address: Li, Y.; School of Economics and Management, China; email: lycnbb@126.com AB - In a mixed assembly line balancing problem, tasks belonging to different product models, are allocated to workstations according to their processing times and precedence relationships amongst tasks. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. LA - English DB - MTMT ER - TY - CHAP AU - Luo, J.-Z. AU - Su, C. ED - IET, , TI - Learning Effect and Its Applications in Production, Operation and Maintenance: A Literature Review T2 - 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022) PB - Institution of Engineering and Technology (IET) CY - Stevenage SN - 9781839538360 PY - 2022 SP - 1904 EP - 1910 PG - 7 DO - 10.1049/icp.2022.3139 UR - https://m2.mtmt.hu/api/publication/34067449 ID - 34067449 N1 - Bernoulli Society for Mathematical Statistics and Probability (BSMSP); et al.; European EuropeanSafety and Reliability Association (ESRA); International Society of Engineering Asset Management (ISEAM); Reliability Engineering Association of Japan (REAJ); The Korean Reliability Society (KORAS) Conference code: 189505 Export Date: 19 July 2023 Funding details: 201901 Funding details: ZK19-03-03 Funding details: National Natural Science Foundation of China, NSFC, 71671035 Funding text 1: This work is supported by the National Natural Science Foundation of China under No.71671035; the Open Fund of Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, China under No.201901; and the Open Fund of Jiangsu Wind Power Engineering Technology Center of China under No. ZK19-03-03. AB - The theory of learning effect has gained great interest as a tool to analyze and predict the performance of individuals or organizations. The unique and beneficial characteristics of learning curve models allow more scientific improvement for the planning, organizing and management activities, thus leading to a more efficient system operation. This review focuses on the applications of learning effect in three areas of industrial engineering, including the production scheduling, operation management and maintenance decision-making. In this review, the concept of learning effect and its development process are briefly introduced. After that, a comparison of different commonly used learning and forgetting effect models is conducted. Furthermore, we review and summarize the application of learning effect in industrial engineering in a more comprehensive way. Finally, the limitations of the current studies and possible practical application are discussed. It can be concluded that learning effect is valuable to be applied in the operation and maintenance process of manufacturing system. © 2022 IEEE. LA - English DB - MTMT ER - TY - JOUR AU - Bose, Dipankar AU - Guha, Apratim TI - Economic production lot sizing under imperfect quality, on-line inspection, and inspection errors: Full vs. sampling inspection JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 160 PY - 2021 PG - 20 SN - 0360-8352 DO - 10.1016/j.cie.2021.107565 UR - https://m2.mtmt.hu/api/publication/32113368 ID - 32113368 N1 - Cited By :1 Export Date: 15 January 2022 CODEN: CINDD Correspondence Address: Guha, A.; XLRI - Xavier School of Management, India; email: apratim@xlri.ac.in Funding text 1: The authors are grateful to the editor, the associate editor and the anonymous reviewers for their helpful comments and suggestions. LA - English DB - MTMT ER - TY - JOUR AU - Bruno, Giulia AU - Antonelli, Dario AU - Stadnicka, Dorota TI - Evaluating the effect of learning rate, batch size and assignment strategies on the production performance JF - JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING J2 - J IND PROD ENG VL - 38 PY - 2021 IS - 2 SP - 137 EP - 147 PG - 11 SN - 2168-1015 DO - 10.1080/21681015.2021.1883133 UR - https://m2.mtmt.hu/api/publication/31909328 ID - 31909328 N1 - Department of Management and Production Engineering, Politecnico Di Torino, Torino, Italy Faculty of Mechanical Engineering and Aeronautic, Rzeszow University of Technology, Poland Export Date: 14 June 2021 Correspondence Address: Bruno, G.; Department of Management and Production Engineering, Italy; email: giulia.bruno@polito.it LA - English DB - MTMT ER - TY - JOUR AU - Chaiyarot, M. AU - Pitiruek, K. TI - Simulation and optimization model for a cross-docking distribution center: Case study of a railway business JF - Asia-Pacific Journal of Science and Technology J2 - Asia-Pacific Journal of Science and Technology VL - 26 PY - 2021 IS - 4 SN - 2539-6293 DO - 10.14456/apst.2021.34 UR - https://m2.mtmt.hu/api/publication/32477849 ID - 32477849 N1 - Export Date: 5 November 2021 Correspondence Address: Pitiruek, K.; Supply Chain and Logistic Systems Research Unit, Thailand; email: komkri@kku.ac.th Funding details: Khon Kaen University, KKU Funding text 1: The authors appreciate many helpful supporting data and suggestion from the business owner of case study, sponsors and colleagues at the Supply Chain and Logistic Systems Research Unit of Khon Kaen University. AB - One of the various issues experienced in execution of manufacturing systems in supply chain management is the bottleneck. Bottlenecks frequently occur during operation of real systems. Railway businesses encounter the same issue. In this research, simulation models were developed to explore and eliminate bottlenecks to improve the internal production zone of a rail freight cross-docking center (RFCDC) distributing goods to customers. This research developed the proposed model using ARENA software and performance criteria. Assessment considered data about the output of finished goods, the work-in-process holding inventory, the maximum net profit, and the average total time required. The proposed model demonstrated the best results considering all criteria and compared them to a real operation system, revealing 28.2%, 99.7%, 41.4% and 99.5% improvement in finished goods capacity, work-in-progress, profit and total process time, respectively. The proposed model is recommended for implementation in the RFCDC of this case study as a decision tool for resource allocation and planning. © 2021, Khon Kaen University,Research and Technology Transfer Affairs Division. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Glisina, Dwinoor Rembulan AU - Kartika, Nur Alfina AU - Filscha, Nurprihatin TI - Analisis Sensitivitas Penurunan Waktu Produksi untuk Memaksimalkan Produk jadi Sektor Konstruksi dengan Mempertimbangkan Keseimbangan Lintasan JF - Journal of Industrial and Engineering System J2 - JIES VL - 2 PY - 2021 IS - 2 SP - 122 EP - 127 PG - 6 SN - 2722-7979 UR - https://m2.mtmt.hu/api/publication/32594848 ID - 32594848 LA - Indonesian DB - MTMT ER - TY - JOUR AU - Jiang, Y. AU - Zhang, Z. AU - Gong, X. AU - Yin, Y. TI - An exact solution method for solving seru scheduling problems with past-sequence-dependent setup time and learning effect JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 158 PY - 2021 SN - 0360-8352 DO - 10.1016/j.cie.2021.107354 UR - https://m2.mtmt.hu/api/publication/32069908 ID - 32069908 N1 - School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China Graduate School of Business, Doshisha University, Karasuma-Imadegawa, Kamigyo-ku, Kyoto, 602-8580, Japan Export Date: 14 June 2021 CODEN: CINDD Correspondence Address: Zhang, Z.; School of Economics and Management, China; email: zhangzhe@njust.edu.cn Funding details: National Natural Science Foundation of China, NSFC, 71401075, 71801129 Funding details: Natural Science Foundation of Jiangsu Province, BK20180452 Funding details: Fundamental Research Funds for the Central Universities, 30920010021 Funding text 1: This research was sponsored by National Natural Science Foundation of China (Grant No. 71401075, 71801129), Natural Science Foundation of Jiangsu Province (Grant No. BK20180452), and Fundamental Research Funds for the Central Universities (Grant No. 30920010021). We would like to give our great appreciation to all the reviewers and editors who contributed this research. AB - This paper concentrates on three scheduling problems with past-sequence-dependent setup time and DeJong's learning effect in seru production system (SPS), including minimizing the total waiting time, the total absolute differences in waiting time, and the total load. The setup time, which is dependent on the seru and jobs that have been processed, is considered. Also, the actual processing time with DeJong's learning effect is concerned. We propose a general exact solution method to show these three problems can be transformed into assignment problems and can be solved in polynomial time. Finally, the computational experiments are made to validate that the proposed method is promising in solving seru scheduling problems effectively. © 2021 Elsevier Ltd LA - English DB - MTMT ER - TY - JOUR AU - Ayough, Ashkan AU - Zandieh, Mostafa AU - Farhadi, Farbod TI - Balancing, sequencing, and job rotation scheduling of a U-shaped lean cell with dynamic operator performance JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 143 PY - 2020 SN - 0360-8352 DO - 10.1016/j.cie.2020.106363 UR - https://m2.mtmt.hu/api/publication/31276687 ID - 31276687 N1 - Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University G.C., Tehran, Iran Roger Williams University, Bristol, RI, United States Cited By :8 Export Date: 15 January 2022 CODEN: CINDD Correspondence Address: Ayough, A.; Department of Industrial Management, Iran; email: A_ayough@sbu.ac.ir LA - English DB - MTMT ER - TY - JOUR AU - Moein, Asadi-Zonouz AU - Majid, Khalili AU - Hamed, Tayebi TI - A Hybrid Unconscious Search Algorithm for Mixed-model Assembly Line Balancing Problem with SDST, Parallel Workstation and Learning Effect JF - JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING J2 - J OPTIM IN INDUST ENG VL - 13 PY - 2020 IS - 2 SP - 123 EP - 140 PG - 18 SN - 2251-9904 DO - 10.22094/JOIE.2020.579974.1605 UR - https://m2.mtmt.hu/api/publication/31408624 ID - 31408624 N1 - Department of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran Department of Industrial Engineering, Islamic Azad University Karaj Branch, Karaj, Iran Cited By :1 Export Date: 14 June 2021 Correspondence Address: Khalili, M.; Department of Industrial Engineering, Iran; email: khalili.mj@kiau.ac.ir LA - English DB - MTMT ER - TY - JOUR AU - Sandra, Mattsson AU - Åsa, Fasth Berglund AU - Dan, Li AU - Peter, Thorvald TI - Forming a cognitive automation strategy for Operator 4.0 in complex assembly JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 139 PY - 2020 SN - 0360-8352 DO - 10.1016/j.cie.2018.08.011 UR - https://m2.mtmt.hu/api/publication/27503880 ID - 27503880 N1 - Chalmers University of Technology, Hörsalsvägen 7A, Gothenburg, SE-41296, Sweden University of Skövde, Box 408, Skövde, SE-541 28, Sweden Cited By :35 Export Date: 15 January 2022 CODEN: CINDD Correspondence Address: Mattsson, S.; Chalmers University of Technology, Hörsalsvägen 7A, Sweden; email: sandra.mattsson@chalmers.se Funding details: Chalmers Tekniska Högskola Funding text 1: This research has been carried out within the framework of the Sustainable Production Initiative, and the Production Area of Advance at Chalmers University of Technology. This support is gratefully acknowledged. LA - English DB - MTMT ER - TY - JOUR AU - Tamás, Alexandra AU - Koltai, Tamás TI - Application of Learning Curves in Operations Management Decisions JF - PERIODICA POLYTECHNICA SOCIAL AND MANAGEMENT SCIENCES J2 - PERIOD POLYTECH SOC MANAG SCI VL - 28 PY - 2020 IS - 1 SP - 81 EP - 90 PG - 10 SN - 1416-3837 DO - 10.3311/PPso.14136 UR - https://m2.mtmt.hu/api/publication/30996694 ID - 30996694 N1 - Export Date: 15 January 2022 Correspondence Address: Tamás, A.; Department of Management and Business Economics, P.O.B. 91, Hungary; email: tamasa@mvt.bme.hu Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA, TUDFO/51757/2019-ITM Funding text 1: by the National Research, Development and Innovation Fund (TUDFO/51757/2019-ITM, Thematic Excellence Program). LA - English DB - MTMT ER - TY - JOUR AU - Castellano, Davide AU - Gallo, Mosè AU - Grassi, Andrea AU - Santillo, Liberatina C. TI - Batching decisions in multi-item production systems with learning effect JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 131 PY - 2019 SP - 578 EP - 591 PG - 14 SN - 0360-8352 DO - 10.1016/j.cie.2018.12.068 UR - https://m2.mtmt.hu/api/publication/30686691 ID - 30686691 N1 - Export Date: 16 August 2019 CODEN: CINDD Correspondence Address: Castellano, D.; Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli “Federico II”, Piazzale V. Tecchio 80, Italy; email: davide.castellano@unina.it LA - English DB - MTMT ER - TY - JOUR AU - Chen, Tin-Chih Toly AU - Lin, Chi-Wei TI - An innovative yield learning model considering multiple learning sources and learning source interactions JF - COMPUTERS AND INDUSTRIAL ENGINEERING J2 - COMPUT IND ENG VL - 131 PY - 2019 SP - 455 EP - 463 PG - 9 SN - 0360-8352 DO - 10.1016/j.cie.2018.07.002 UR - https://m2.mtmt.hu/api/publication/31089147 ID - 31089147 N1 - Cited By :4 Export Date: 15 January 2022 CODEN: CINDD Correspondence Address: Toly Chen, T.-C.; Department of Industrial Engineering and Management, Taiwan; email: tolychen@ms37.hinet.net AB - Existing yield learning models do not separate the effects of different learning sources or consider the interactions among the sources. To address this problem, a multisource-with-interaction yield learning model was developed. In this paper, the properties of this multisource yield learning model are discussed from a theoretical and practical standpoint. In this study, the proposed methodology was applied to the manufacturing process of a dynamic random access memory product. The proposed model exhibited improved accuracy in estimating the future yield, evidencing its superiority over existing yield learning models. The proposed methodology can be generalized to model the learning processes of other performance measures in manufacturing or service systems. LA - English DB - MTMT ER - TY - JOUR AU - Mahesh, Vishwas AU - Shastry, Sudheendra AU - Murthy, Vasudev AU - Kumar, Vijay AU - Mahesh, Vinyas TI - Approach to Reduce Throughput Time in Grinding of Gundrills JF - JOURNAL EUROPEEN DES SYSTEMES AUTOMATISES J2 - JOURNAL EUROPEEN DES SYSTEMES AUTOMATISES VL - 52 PY - 2019 IS - 2 SP - 137 EP - 142 PG - 6 SN - 1269-6935 DO - 10.18280/jesa.520204 UR - https://m2.mtmt.hu/api/publication/30760382 ID - 30760382 N1 - Department of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumakuru, 572102, India Kennametal India Limited, Bengaluru, 560073, India Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India Department of Aerospace Engineering, Indian Institute of Science, Bengaluru, 560012, India Export Date: 14 June 2021 Correspondence Address: Mahesh, V.; Department of Industrial Engineering and Management, India; email: vishwasm@sit.ac.in LA - English DB - MTMT ER - TY - JOUR AU - Alberto, García-Villoria AU - Albert, Corominas AU - Adrià, Nadal AU - Rafael, Pastor TI - Solving the accessibility windows assembly line problem level 1 and variant 1 (AWALBP-L1-1) with precedence constraints JF - EUROPEAN JOURNAL OF OPERATIONAL RESEARCH J2 - EJOR VL - 271 PY - 2018 IS - 3 SP - 882 EP - 895 PG - 14 SN - 0377-2217 DO - 10.1016/j.ejor.2018.05.048 UR - https://m2.mtmt.hu/api/publication/27454037 ID - 27454037 N1 - Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya (UPC), Av. Diagonal 647 (Edif. ETSEIB), 11th Floor, Barcelona, 08028, Spain Volkswagen-Audi España S.A., St. de la Selva 22, 08820, El Prat de Llobregat, Spain Export Date: 16 August 2019 CODEN: EJORD Correspondence Address: García-Villoria, A.; Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya (UPC), Av. Diagonal 647 (Edif. ETSEIB), 11th Floor, Spain; email: alberto.garcia-villoria@upc.edu Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya (UPC), Av. Diagonal 647 (Edif. ETSEIB), 11th Floor, Barcelona, 08028, Spain Volkswagen-Audi España S.A., St. de la Selva 22, 08820, El Prat de Llobregat, Spain Export Date: 14 June 2021 CODEN: EJORD Correspondence Address: García-Villoria, A.; Institute of Industrial and Control Engineering (IOC), Av. Diagonal 647 (Edif. ETSEIB), 11th Floor, Spain; email: alberto.garcia-villoria@upc.edu LA - English DB - MTMT ER - TY - JOUR AU - ÇAVDUR, Fatih AU - KAYMAZ, Elif AU - SEBATLI, Aslı TI - MONTAJ HATLARINDA YENİDEN İŞLEME İSTASYON POZİSYONUNUN OPTİMİZASYONU İÇİN BİR KARIŞIK-TAMSAYILI PROGRAMLAMA MODELİ JF - ULUDAG ÜNIVERSITESI MÜHENDISLIK FAKÜLTESI DERGISI / ULUDAG UNIVERSITY JOURNAL OF THE FACULTY OF ENGINEERING J2 - ULUDAG UNIV J FACULT ENGIN VL - 23 PY - 2018 IS - 3 SP - 273 EP - 288 PG - 16 SN - 2148-4147 DO - 10.17482/uumfd.420001 UR - https://m2.mtmt.hu/api/publication/30374983 ID - 30374983 LA - Turkish DB - MTMT ER -