پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 158 |
| تعداد شماره‌ها | 6,230 |
| تعداد مقالات | 67,759 |
| تعداد مشاهده مقاله | 115,129,759 |
| تعداد دریافت فایل اصل مقاله | 89,896,460 |
رویکرد شبیهسازی برای بهبود خط مونتاژ شرکت دیزل سنگین ایران | ||
| مدیریت صنعتی | ||
| مقاله 2، دوره 6، شماره 4، دی 1393، صفحه 635-664 اصل مقاله (1.03 M) | ||
| نوع مقاله: مقاله علمی پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2014.50705 | ||
| نویسندگان | ||
| حسنعلی آقاجانی* 1؛ حمزه صمدی میارکلائی2؛ حسین صمدی میارکلایی3؛ حسین لطفی4 | ||
| 1دانشیار مدیریت صنعتی، دانشگاه مازندران، بابلسر، ایران | ||
| 2دانشجوی دکتری مدیریت دولتی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران | ||
| 3کارشناس ارشد مدیریت دولتی، باشگاه پژوهشگران جوان، قائمشهر، ایران | ||
| 4کارشناس ارشد مدیریت صنعتی، بابلسر، ایران | ||
| چکیده | ||
| چکیده: هدف از اجرای این پژوهش، بررسی امکان بهبود خط مونتاژ شرکت دیزل سنگین ایران (دِسا) با استفاده از روش شبیهسازی است. برایناساس، ضمن مرور ادبیات موضوعی مربوط به سیستم، مدل، شبیهسازی، خطوط مونتاژ و راههای بهبود آن، و پس از بررسی سابقة پژوهشهای مشابه، با استفاده از ابزارهای جمعآوری دادههای مستندات و مشاهده، مدل اولیة خط مونتاژ شرکت، طراحی شد و با استفاده از دادههای آماری توصیفی و تحلیل واریانس، اعتبار مدل تأیید شد. دادهها با استفاده از نرمافزارهای ARENA و SPSS تحلیل شد. در مرحلة بعد، پس از مصاحبه با 48 نفر از دستاندرکاران خط مونتاژ، نقطة قابل بهبود خط مونتاژ، یعنی اتاق تست شناسایی شد. آنگاه، پس از تشریح علت امر، برای دستیابی به بهبود در این قسمت، استفاده از فناوری جدید پیشنهاد شد. نتایج آزمون این پیشنهاد، بهوسیلة مدل شبیهسازی نشان داد که اگر چنین سیستمی در خط مونتاژ پیادهسازی شود، زمان سیکل، سیوسه درصد بهبود مییابد و زمان صف در ایستگاه تست، شصتودو درصد کاهش پیدا میکند. در پایان مقاله، بحث، نتیجه‌گیری و پیشنهادهایی برای پژوهشهای آینده ارائه شده است. | ||
| کلیدواژه‌ها | ||
| خط مونتاژ؛ دیزل سنگین ایران؛ شبیهسازی | ||
| عنوان مقاله [English] | ||
| A simulation approach for assembly line improvement of Iran Heavy Diesel Company | ||
| نویسندگان [English] | ||
| Hassanali Aghajani1؛ Hamzeh Samadi2؛ Hossein Samadi3؛ Hossein Lotfi4 | ||
| 1Associate Prof., Industrial Management, University of Mazandaran, Babolsar, Iran | ||
| 2PhD Candidate, Department of Public Administration, Islamic Azad University, Science and Reserch Branch, Tehran, Iran | ||
| 3MSc. Public Administration, Young Researcher Club, Qaemshahr, Iran | ||
| 4MSc. of Industrial Management, University of Mazandaran, Babolsar, Iran | ||
| چکیده [English] | ||
| [Naeini1] The current research aims to investigate improvement possibility of Iran Heavy Diesel (DESA) Company Assembly Line by Simulation. Therefore, in addition to reviewing the existing thematic literature in relation to the system, model, simulation, assembly lines and the improvement solutions, as well as studying similar research background and history, the primary model of company assembly line was created by using data collection instruments like documents reviewing and observation. After presentation of created model and a summery of descriptive data, the model was validated by averages test. Data were analyzed by ARENA and SPSS using software. In the next stage, the improvable point of assembly line, namely Test room was identified by interviewing with 48 people related with assembly line. Then, after describing the reason of attention to this point, the use of new technology was proposed for achieving improvement in this section. The results of testing this proposition by simulation model showed that if such system is implemented in assembly line, the cycle time will improve by 33% and the queue time in test station will reduce by 62%. Finally, based on these results, the discussion and conclusion were represented, and some suggestions were given for managers and directions for further researches were provided in conclusion. | ||
| کلیدواژه‌ها [English] | ||
| assembly line, Iran Heavy Diesel, simulation | ||
| مراجع | ||
|
Azadeh, A., Hatefi, S. M., & Kor, H. (2012). Performance improvement of a multi product assembly shop by integrated fuzzy simulation approach. Journal of Intelligent Manufacturing, 23(5), 1861-1883. doi: 10.1007/s10845-011-0501-0
Azadeh, M. A., Karimi-Zand, K., & Shakeri, S. (2000). Applying computer simulation in an assembly workshop of the largest electricmotors. Jornal of the College of Engineering, 2(34), 127-139. (in persian)
Azar, A. (1994). Inferential statistics techniques in managerial and behavioral research. Journal of Management Knowledge, 26(3), 28-39. (in persian)
Azar, A., Saghalzadeh, S., & Rajabzadeh, A. (2013). Fuzzy simulation in uncertainty circumstances. Jornal of Industrial Management, 2(4), 1-20. (in persian)
Azar, A., Haghifam, M., Alibabei, N. (2008). Modeling and optimization of load shedding and generation reallocation at compulsive condition of electrical transmission system. Jornal of Industrial Management, 1(1), 3-20. (in persian)
Alvani, S. M. (1995). General management. Tehran, Nei Publishing. (in persian)
Banks, J. (1999). Introduction to simulation. In Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future-Volume 1 (pp. 7-13). ACM.
Chase, R. B., & Zhang, A. (1998). Operations management: internationalization and interdisciplinary integration. International Journal of Operations & Production Management, 18(7), 663-667.
Fandino Pita, J., & Wang, Q. (2010). A simulation approach to facilitate manufacturing system design. Int. J. Simul. Model, 9(3), 152-164.
Feldman, D. C. (2004). The devil is in the details: Converting good research into publishable articles. Journal of management, 30(1), 1-6.
Gahagan, S. M. (2008). Simulation and optimization of production control for lean manufacturing transition. Dissertation to Doctor of Philosophy, University of Maryland, College Park. ProQuest.
Martin, O., Soulas, A. & Juuso, E. (2004). Production optimization on PCB assembly lines using discrete-event simulation. University of Oulu.
Hammer, M., & Champy, J. (1993). Reengineering the corporation: a manifesto for business evolution. Nicholas Brealey, London, UK.
Hauser, K. (2002). Simulation and optimization of a crossdocking operation in a Just-in-time Environment. University of Kentucky.
Hosseini, S. J., Ebrahimi, S. & Fazlali, M. (2012). Simulation of mass production quality control line optimization using simphony. International Proceedings of Economics Development & Research, 28, 12-16.
Johnson, R. L., Tsiros, M. & Lancioni, R. A. (1995). Measuring service quality: a systems approach. Journal of Services Marketing, 9(5), 6-19.
Kang, K., Gue, K., & Eaton, D. R. (1998). Cycletime reduction for naval aviation deports. In Proceedings of the 30th conference on winter simulation (pp. 907-914). IEEE Computer Society Press.
Kijakic, N. (2002). A new simulation approach for designing the layout of a bus assembly line. Department of mechanical and industrial engineering. The University of Manitoba. Canada.
Laguna, M. & Marklund, J. (2004). Business Process Modeling, Simulation and Design. Pearson Prentice Hall, Upper Saddle River, New Jersey 07458.
Lee, S. G., Khoo, L. P. & Yin, X. F. (2000). Optimising an assembly line through simulation augmented by genetic algorithms. The International Journal of Advanced Manufacturing Technology, 16(3), 220-228.
Leporis, M. & Králová, Z. (2010). A simulation approach to production line bottleneck analysis. International Conference Cybernetics and Informatics, pp. 1-10, February 10-13, VYŠNÁ BOCA, Slovak Republic.
Martin, A. C. M. & de Carvalho, M. M. (2006). Applying virtual simulation in automotive new product development process. Product: Management & Development. 4(2). 79-85.
Madhoushi, M. (2000). Management information system. Babolsar: Mazandaran University Publication. (in persian)
McMullen, P. R. & Frazier, G. V. (1998). Using simulated annealing to solve a multiobjective assembly line balancing problem with parallel workstations. International Journal of Production Research, 36(10), 2717-2741.
Ryde, M. & Sundblad, E. (2013). Production process improvement within the telecom industry – A Simulation Study. Faculty of Engineering LTH at Lund University.
Shady, R., Spake, G. & Armstrong, B. (1997). Simulation of a new product workcell. In Proceedings of the 29th conference on Winter simulation (pp. 739-743). IEEE Computer Society.
Seyed Esfehani, M. M., Heidari, M. & Jaberi, S. (2014). Tabrid simulation algoritm representation for optimization of parallel serial system certainty, k-from-n substitution by fuzzy parameters. International Journal of Industrial Engineering and Production Management, 4(24), 414-422. (in persian)
Soleimanpour, M. & Zeinalzadeh, A. (2009). A Mathematical model application for adjusting assembly line (Case Study: Teraktorsazi Company). Journal of Beyond Management, 11(3), 7-30. (in persian)
Shanon, R. (1992). The science and art of systems’ simulation. Translated by: Arab, A. A. Tehran: University Publication Center. (in persian)
Shokouhi, A. & Shahriari, H. (2010). The problem of control duration of steady multi-object manufacturing in complex assembly systems. International Journal of Industrial Engineering and Production Management, 2(21), 23-35. (in persian)
Sheldon, A. R. (1995). Simulation. Translated by: Azarnoush, H. & Niroumand, H. Mashhad Ferdousi University (in persian)
Springfield, K. G., Hall, J. D. & Bell, G. W. (1999). Analysis of electronics assembly operations: Longbow HELLFIRE Missile power supply. In Simulation Conference Proceedings, 1999 Winter (Vol. 1, pp. 689-693). IEEE.
Tantivanich, P. & Sudasna-na-Ayudthya, P. (2002). A simulation approach for productivity Improvement of an IC Factory. Proceedings of Symposium in Production and Quality Engineering, Kasetsart University. 104-111. Villarreal, B. & Alanis, M. R. A. (2011). A simulation approach to improve assembly line performance. International Journal of Industrial Engineering, 18(6), 283-290.
Williams, E. J. & Gevaert, A. (1997). Pallet optimization and throughput estimation via simulation. In Proceedings of the 29th conference on winter simulation (pp. 744-749). IEEE Computer Society. | ||
|
آمار تعداد مشاهده مقاله: 3,670 تعداد دریافت فایل اصل مقاله: 1,137 |
||