نوع مقاله : مقاله پژوهشی

نویسنده

گروه ریاضیات و کاربردها، دانشکده علوم پایه، دانشگاه کوثر بجنورد، بجنورد، ایران.

چکیده

هدف: در این مقاله، مقدار مورد نیاز برای افزایش قابلیت اعتماد اجزای یک سیستم منسجم تعیین شده است، به‌­­گونه­‌ای‌­که هزینه حاصل از این افزایش به حداقل برسد و قابلیت اعتماد کل سیستم از مقدار از پیش تعیین‌شده‌­ای کم‌تر نشود.
روش‌شناسی پژوهش: در این پژوهش، بعد از معرفی توابع هدف و محدودیت در مساله بهینه‌­سازی، روش لاگرانژ مورد استفاده قرار می‌­گیرد و سپس با ارایه یک الگوریتم مساله حل می‌­شود. در این مقاله، چند تابع هزینه در نظر گرفته می­‌شوند و در ادامه نتایج در حالت کلی برای یک سیستم منسجم و سپس برای دو حالت خاص سیستم‌­های سری-موازی و موازی–سری ارایه می‌­شوند.
یافته‌ها: در این مقاله، دو مثال عددی بیان و حل می‌­شوند. در مثال اول یک سیستم شبکه پل مورد ارزیابی قرار می‌­گیرد و در مثال دوم یک سیستم سری–موازی مورد مطالعه قرار می‌­گیرد. در هر دو مثال، مقادیر مورد نیاز برای افزایش قابلیت اعتماد اجزای سیستم تعیین می‌­شوند.
اصالت/ارزش افزوده علمی: در این پژوهش، با استفاده از یک مدل ریاضی و محاسبات عددی با کمک نرم‌­افزار R، مساله بهینه‌­سازی برای یک سیستم منسجم بررسی می­‌شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Presenting a one-objective optimization model to determine the reliability of the components of a coherent system

نویسنده [English]

  • Elham Basiri

Department of Mathematics and Applications, Faculty of Sciences, Kosar University of Bojnord, Bojnord, Iran.

چکیده [English]

Purpose: In this paper, the amount required to increase the reliability of the components of a coherent system is determined so that the cost of this increase is minimized and the reliability of the whole system is not less than the predetermined value.
Methodology: In this research, after introducing the objective and constraint functions in the optimization problem, the Lagrange method is used and then the problem is solved by presenting an algorithm. In this article, several cost functions are considered, and then the results are presented in the general case for a coherent system and then for two special cases, series-parallel and parallel-series systems.
Findings: In this article, two numerical examples are presented and solved. In the first example, a bridge structure is evaluated and in the second example, a series-parallel system is studied. In both examples, the required values are determined to increase the reliability of the system components.
Originality/Value: This research, using a mathematical model and numerical calculations with the help of R software, examines the optimization problem for a coherent system.

کلیدواژه‌ها [English]

  • Lagrangian method
  • Coherent system
  • Reliability
[1]     Rausand, M., & Hoyland, A. (2003). System reliability theory: models, statistical methods, and applications (Vol. 396). John Wiley & Sons.
[2]     Lawless, J. F. (2011). Statistical models and methods for lifetime data. John Wiley & Sons.
[3]     Bain, L. (2017). Statistical analysis of reliability and life-testing models: theory and methods. Routledge.
[4]     Coit, D. W., & Smith, A. E. (1996). Reliability optimization of series-parallel systems using a genetic algorithm. IEEE transactions on reliability, 45(2), 254–260.
[5]     Kolahan, F., Doust, P. M., & Mamourian, M. (2007). Type and frequency of preventive maintenance for multi-component systems based on reliability. Journal of faculty of engineering, 41(4), 511-523. (In Persian). https://www.sid.ir/paper/14083/fa
[6]     Jalali Naeini, S. G. R., & Ahmadizar, F. (2007). An ant colony algorithm for reliability optimization of a series system with multiple-choice under budget constraint. Management knowledge(not publish), 20(76), 3-22. (In Persian). https://jmk.ut.ac.ir/article_18611.html
[7]     Tavakkoli-Moghaddam, R., Safari, J., & Sassani, F. (2008). Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm. Reliability engineering & system safety, 93(4), 550–556.
[8]     Karbasian, M., Ghandehary, M., & Abedi, S. (2010). Optimization of reliability centered maintenance bassed on maintenance costs and reliability with consideration of location of components. Research in production and operations management, 1(1), 19-30. (In Persian). https://jpom.ui.ac.ir/article_19760.html
[9]     Safaei, F., & Ahmadi, J. (2015). Comparison of optimal replacement times in repairable systems based on failure rate functions and probability of minimal repair times. Journal of statistical sciences, 9(1), 61-76. (In Persian). http://jss.irstat.ir/article-1-283-fa.html
[10]   Bahrampour, N., Tavakkoli-Moghaddam, R., & Shahsavari Pour, N. (2017). Bi-objective optimization for a location-routing problem with reliability and fuzzy cost. Journal of industrial engineering research in production systems, 4(8), 133-145. (In Persian). https://www.sid.ir/paper/241312/en
[11]   Basiri, E. (2017). Optimal number of failures in Type II censoring for rayleigh distribution. Journal of applied research on industrial engineering, 4(1), 67–74.
[12]   Basiri, E. (2021). Optimization of reliability and cost in series-parallel-repairable systems with bathtub-shaped failure rate. Journal of statistical sciences, 14(2), 351-366. (In Persian). http://jss.irstat.ir/article-1-622-fa.html
[13]   Shafiee, M., Saleh, H., & Kaveh, A. (2020). Evaluating the system reliability and availability under fuzzy Bayesian approach. Journal of decisions and operations research, 5(2), 133-150. (In Persian). DOI: 10.22105/dmor.2020.229706.1149
[14]   Khalili, S. (2021). Unrelated parallel-machine scheduling with preventive and emergency maintenance. Journal of decisions and operations research, 6(1), 25-40. (In Persian). DOI: 10.22105/dmor.2021.235558.1156
[15]   Yousefi Hanoomarvar, A., Amiri, M., Olfat, L., & Naser Aadrabadi, A. (2021). designing time-cost-quality trade-off model in multimodal PERT network using simulations and NSGA-II and MOPSO algorithms. Journal of decisions and operations research, 6(2), 146-173. (In Persian). DOI: 10.22105/dmor.2021.265922.1296
[16]   Rajabi Moshtaghi, H., Toloie-Eshlaghy, A., & Motadel, M. R. (2021). A new meta-heuristic algorithm: military optimization algorithm (MOA). Journal of decisions and operations research, 6(3), 304-329. (In Persian). DOI: 10.22105/dmor.2021.276125.1333
[17]   Kim, S., & Ahn, N. (2021). An optimal algorithm for the reliability optimization problem of a series system with selectable alternatives. Industrial engineering & management systems, 20(1), 61–68.
[18]   Garg, H. (2021). Bi-objective reliability-cost interactive optimization model for series-parallel system. International journal of mathematical, engineering and management sciences, 6(5), 1331–1344.
[19]   El-Morsy, S. A. (2022). Optimization of fuzzy zero-base budgeting. Computational algorithms and numerical dimensions, 1(4), 147–154.
[20]   Golmohammadi, A.-M., Goli, A., & Rasay, H. (2022). Employing efficient algorithms to reduce the distance traveled in location-routing problem considering travel and service. Innovation management and operational strategies, 3(1), 48-61. (In Persian). DOI: 10.22105/imos.2022.308682.1173
[21]   Basiri, E. (2022). Bi-objective optimization problem of a parallel system with random number of units. Journal of statistical modelling: theory and applications, 3(1), 31-49. (In Persian). DOI: 10.22034/jsmta.2023.19126.1068
[22]   Basiri, E. (2022). Design of a series-parallel system based on the problem of optimization of reliability and cost. Journal of quality engineering and management, 12(1), 39-50. (In Persian). https://www.pqprc.ir/article_164187.html
[23]   Karbasian, M., Ahari, R., & Banitaba, M. (2020). Developing a method for allocating reliability to subsystems of a cube satellite adopting suppliers readiness level approach. Journal of quality engineering and management, 10(1), 49-59. (In Persian). https://www.pqprc.ir/article_115125.html