Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2022 / Cilt: 12 - Sayı: 1

Analysis of make-to-stock queues with general processing times and start- up and lost sales costs

Pages
8–19
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

An extensive numerical study exhibits the effects of the production time distribution and the system parameters on the policy control levels and average system cost.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We consider a make-to-stock environment with a single production unit that corresponds to a single machine or a line.
📊
Key Findings & Data:Production times are independent and identically distributed general random variables and demands are generated according to a stationary Poisson process.
💡
Conclusion & Impact:An extensive numerical study exhibits the effects of the production time distribution and the system parameters on the policy control levels and average system cost.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

We consider a make-to-stock environment with a single production unit that corresponds to a single machine or a line. Production and hence inventory are controlled by the two-critical-number policy. Production times are independent and identically distributed general random variables and demands are generated according to a stationary Poisson process. We model this production-inventory system as an M/G/1 make-to-stock queue. The main contribution of the study is to extend the control of make-to-stock literature by considering general production times, lost sales and fixed production costs at the same time. We characterize the long-run behaviour of the system and also propose a simple but very effective approximation to calculate the control parameters of the two-critical-number policy. An extensive numerical study exhibits the effects of the production time distribution and the system parameters on the policy control levels and average system cost.

🔖

Cite This Article

Bulut, Ö., Özkan, S. (2022). Analysis of make-to-stock queues with general processing times and start- up and lost sales costs. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 12 - Sayı: 1, 8–19. https://ajindex.com/articles/440522

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. 1] Gavish, B., Graves, S.C., (1980). A one-product production/inventory problem under continuous review policy. Operations Research, 28(5), 1228- 1236. [2] Gavish, B., Graves, S.C., (1981). Production/inventory systems with a stochastic production rate under a continuous review policy. Computers & Operations Research, 8(3), 169-183. [3] Lee, H.S. Srinivasan, M.M., (1987). The continuous review (s, S) policy for production/inventory systms with Poisson demands and arbitrary processing times. Technical Report, 87-33. [4] Graves, S.C., Keilson, J., (1981). The compensation method applied to a one-product production/inventory problem. Mathematics of Operations Research, 6(2), 246-262. [5] Srinivasan, M.M., Lee, H.S., (1991). Random review production/inventory systems with compound Poisson demands and arbitrary processing times. Management Science, 37(7), 813- 833. [6] Altiok, T., (1989). (R, r) production/inventory systems. Operations Research, 37(2), 266-276. [7] Tijms, H.C., (1980). An algorithm for average costs denumerable state semi-Markov decision problems with application to controlled production and queueing system. In R. Hartley, L. C. Thomas, & D. J. White, Recent developments in Markov decision processes (pp. 143-179), Academic Press. [8] Heyman, D. P., (1968). Optimal operating policies for M/G/1 queuing systems. Operations Research, 16(2), 362-382. [9] Sobel, M.J., (1969). Optimal average-cost policy for a queue with start-up and shut-down costs. Operations research, 17(1), 145-162. [10] De Kok, A.G., Tijms, H.C., Van der Duyn Schouten, F.A., (1984). Approximations for the single-product production-inventory problem with compound Poisson demand and service-level constraints. Advances in Applied Probability, 16(2), 378-401. [11] De Kok, A.G., (1985). Approximations for a lost- sales production/inventory control model with service level constraints. Management Science, 31(6), 729-737. [12] De Kok, A.G., Tijms, H.C., (1985). A stochastic production/inventory system with all-or-nothing demand and service measures. Communications in Statistics. Stochastic Models, 1(2), 171-190. [13] De Kok, A.G., (1987). Approximations for operating characteristics in a production-inventory model with variable production rate. European journal of operational research, 29(3), 286-297. [14] Lin, H.J., (2017). Two-critical-number control policy for a stochastic production inventory system with partial backlogging. International Journal of Production Research, 55(14), 4123