Volume 54, Number 2, March-April 2020
|Page(s)||351 - 367|
|Published online||27 February 2020|
Randomized control of arrivals in a finite-buffer GI/M/1 system with starting failures
Institute of Information and Decision Sciences, National Taipei University of Business, Taipei, Taiwan
2 Department of Applied Statistics, National Taichung University of Science and Technology, Taichung, Taiwan
3 Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan
* Corresponding author: firstname.lastname@example.org
Accepted: 13 November 2018
This paper proposes a randomized policy for the control of arrivals in a finite-buffer GI/M/1 system with a single server. When the capacity of system is full, no new arrivals are permitted to enter the system. When the number of customers in the system decreases to threshold F, a new arriving customer is allowed to join the system with probability p. The system requires an exponential startup time before allowing customers to enter the system. The startup process may not be successful and is then restarted once again. Using the supplementary variable technique in a recursive process, we obtain the stationary distribution of the system size. Various performance measures of the system are developed. We also create a cost model based on the system performance measures and cost elements. The optimal threshold, optimal capacity and optimal startup rate of the system are determined to minimize the expected cost per unit time. Finally, we provide numerical examples to conduct a sensitivity analysis.
Mathematics Subject Classification: 90B22 / 60K25
Key words: Cost optimization / (p, F)-policy / GI/M/1 system / supplementary variable technique
© EDP Sciences, ROADEF, SMAI 2020
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.