Optimal Vacation Policy for a Manufacturing Facility Using Retrial System

Wee Meng Yeo; Xue Ming Yuan

doi:10.4028/www.scientific.net/KEM.447-448.316

Paper Titles

The Tool Path Generation by Using Configuration Space for Five-Axis Controlled Machining - Application to Rough Cutting by Using Square End Mill -
p.292

Gear Precision and Cutting Force in Dry Hobbing Gear Cutting for Gears Made of Brass Material
p.297

Towards Smart and Competitive Sustainable Machining
p.301

Integrated Production Planning, Scheduling and Shop Floor Tracking System for High-Mix Low-Volume Manufacturing - A Consortium Approach
p.306

Optimal Vacation Policy for a Manufacturing Facility Using Retrial System
p.316

Tool Path Planning Assist System for Freeform Surface Machining
p.321

Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory
p.326

Planning and Optimizing Projects for MRO
p.336

Design Approach for Jig in Computer Assisted Total Knee Replacement Surgery
p.341

HomeKey Engineering MaterialsKey Engineering Materials Vols. 447-448Optimal Vacation Policy for a Manufacturing...

Optimal Vacation Policy for a Manufacturing Facility Using Retrial System

Abstract:

We consider a manufacturing system which takes vacation and subjects to breakdown. Items arrive to the production facility according to a compound Poisson process. Using supplementary variables we determine the probability generating function (p.g.f) of the system size. Under the Long Run Average Cost formulation, we show that the optimal vacation policy is either single or multiple vacation policy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 447-448)

Pages:

316-320

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.447-448.316

Citation:

Cite this paper

Online since:

September 2010

Authors:

Wee Meng Yeo, Xue Ming Yuan

Keywords:

Manufacturing, Poisson Process, Queuing System, Retrial, Vacation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Aissani, A. An $Mx /G/1 retrial queue with exhaustive vacations, Journal of Statistics and Management Systems (2000), 3, pp.269-286.

DOI: 10.1080/09720510.2000.10701019

Google Scholar

[2] Artalejo, J.R. Analysis of an M/G/1 retrial queue with constant rate of repeated attempts and server vacations, Computers and Operations Research (1997), 24, pp.493-504.

DOI: 10.1016/s0305-0548(96)00076-7

Google Scholar

[3] Atencia, I., Bouza, G., and Moreno, P. An MX /G/1 retrial queue with server breakdowns and constant rate of repeated attempts, Annals of Operations Research (2008), 157, pp.225-243.

DOI: 10.1007/s10479-007-0192-2

Google Scholar

[4] Chaudhry, M.L., and Templeton, J.G.C. A First Course in Bulk Queues, (1983) John Wiley & Sons, Inc. New York.

Google Scholar

[5] Krishna Kumar, B., Arivudainambi, D., and Vijayakumar, A. On the MX /G/1 retrial queue with Bernoulli Schedules and general retrial times, Asia-Pacific journal of Operational Research (2002), 19(2), pp.177-194.

DOI: 10.1016/s0898-1221(01)00267-x

Google Scholar

[6] Li, H., and Zhao, Y.Q. A retrial queue with constant retrial rate, server downs and impatient customers, Stochastic Models (2005), 21, pp.531-550.

DOI: 10.1081/stm-200056021

Google Scholar

[7] Tang, Y.H. A single server M/G/1 queueing system subject to breakdowns-some reliability and queueing problem, Microelectronics and Reliability (1997), 37, pp.315-321.

DOI: 10.1016/s0026-2714(96)00018-2

Google Scholar

[8] Tian, N.S., and Zhang, Z.G. Vacation Queueing Models, Springer (2006).

Google Scholar

[9] Wang, J., Cao, J. , Li, Q. Reliability Analysis of the Retrial Queue with Server Breakdowns and Repairs, Queueing Systems (2001), 38(4), pp.363-380.

Google Scholar