Journals / Journal of Turkish Operations Management / 2023 / Cilt: 7 Sayı: 1

Investigation the ergodic distribution of a semi-Markovian inventory model of type (s,S) with intuitive approximation approach

Pages
1483–1492
Publication Date
2023-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Obtained results can be used in many situations where demand random variables have different distributions from different classes such as Γ(g) class.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper concerns a stochastic process expressing (s,S) type inventory system with intuitive approximation approach.
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Key Findings & Data:The stock level in the system is modeled as a semi-Markovian renewal reward process X(t).
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Conclusion & Impact:Obtained results can be used in many situations where demand random variables have different distributions from different classes such as Γ(g) class.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Intuitive approximation · Inventory model of type (s · Renewal reward process

Abstract

This paper concerns a stochastic process expressing (s,S) type inventory system with intuitive approximation approach. The stock level in the system is modeled as a semi-Markovian renewal reward process X(t). Therefore, the ergodic distributions of this process can be analyzed with the help of the renewal function. Obtaining explicit formula for renewal function U(x) is difficult from a practical standpoint. Mitov and Omey recently present some intuitive approximations in literature for renewal function which cover a large number of existing results. Using their approach we were able to establish asymptotic approximations for ergodic distribution of a stochastic process X(t). Obtained results can be used in many situations where demand random variables have different distributions from different classes such as Γ(g) class.

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Cite This Article

KAMIŞLIK, A. B., ALAKOÇ, B., KESEMEN, T., KHANIYEV, T. (2023). Investigation the ergodic distribution of a semi-Markovian inventory model of type (s,S) with intuitive approximation approach. Journal of Turkish Operations Management, Cilt: 7 Sayı: 1, 1483–1492. https://ajindex.com/articles/952522

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References (11)

  1. Aliyev, R.T. (2017). On a stochastic process with a heavy tailed distributed component describing inventory model of type (s,S). Communications in Statistics-Theory and Methods, 46(5), 2571-2579. DOI:https://doi.org/10.1080/03610926.2014.1002932
  2. Asmussen, S. (2000).
  3. Ruin probabilities, World Scientific Publishing. Singapore. Bektaş, K.A., Alakoç, B., Kesemen T. and Khaniyev T. (2020). A semi-Markovian renewal reward process with Γ(g) distributed demand. Turkish Journal of Mathematics, 44, 1250-1262. DOI: https://doi.org/10.3906/mat-2002-72
  4. Bektaş K.A., Kesemen T. and Khaniyev T. (2019). Inventory model of type (s,S) under heavy tailed demand with infinite variance. Brazilian Journal of Probability and Statistics, 33 (1), 39-56. DOI: https://doi.org/10.1214/17-BJPS376
  5. Bektaş, K.A., Kesemen, T. and Khaniyev, T. (2018). On the moments for ergodic distribution of an inventory mo- del of type (s,S) with regularly varying demands having infinite variance. TWMS Journal of Applied and Enginee- ring Mathematics, 8 (1a), 318-329.Available at: http://jaem.isikun.edu.tr/web/index.php/archive/98-vol8no1a/349
  6. Borovkov, A.A.,(1984)
  7. Asymptotic Methods in Queuing Theory, John Wiley, New York. Brown, M. and Solomon, H.A. (1975). Second order approximation for the variance of a renewal reward process and their applications. Stochastic Processes and their Applications 3, 301-314. DOI: https://doi.org/10.1016/03044149(75)90029-0
  8. Chen, F. and Zheng, Y.S. (1997). Sensitivity analysis of an (s,S) inventory model. Operation Research and Letters, 21, 19-23. DOI: https://doi.org/10.1016/S0167-6377(97)00019-9
  9. Csenki, A. (2000). Asymptotics for renewal-reward processes with retrospective reward structure. Operation Research and Letters, 26, 201-209. DOI: https://doi.org/10.1016/S0167-6377(00)00035-3
  10. Feller, W. (1971). Introduction to probability theory and its applications II, John Wiley, New York. Geluk, J. L., de Haan, L. (1981). Regular variation, extensions and Tauberian theorems, CWI Track 40 Amsterdam. Geluk, J.L. (1997). A Renewal Theorem in the finite-mean case. Proceedings of the American Mathematical Society, 125(11), 3407-3413. DOI: http://www.jstor.org/stable/2162415.
  11. Gikhman, I. I. and Skorohod, A. V. (1975). Theory of Stochastic Processes II. Berlin: Springer. Hanalioglu, Z., Khaniyev, T. (2019). Limit theorem for a semi - Markovian stochastic model of type (s,S). Hacettepe Journal of Mathematics and Statistics, 48(2), 605-615. DOI: https://doi.org/10.15672/HJMS.2018.622