Abstract
This paper reviews the evolution of queueing networks software and its use in manufacturing. In particular, we will discuss two different groups of software tools. First, there are queueing networks software packages which require a good level of familiarity with the theory. In the other hand, there are some packages designed for manufacturing where the model development process is automated. Issues related to practical considerations will be adressed and recommendations will be given.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baskett F, Chandy K, Muntz R, Palacios F (1975) Open, closed and mixed networks of queues with different classes of customers. Journal of the ACM 22(2):248–260
Bitran G, Tirupati D (1988) Multiproduct queueing networks with deterministic rout-ing: Decomposition approach and the notion of interference. Management Science 34(1):75–100
Bosilj-Vuksic V, Ceric V, Hlupic V (2007) Criteria for the evaluation of business process simulation tools. Interdisciplinary Journal of Information, Knowledge and Management 2:73–88
Buzacott JA, Shanthikumar JG (1993) Stochastic Models of Manufacturing Systems. Prentice-Hall, Englewood Cliffs, NJ
Chylla P (1986) Zur Modellierung und approximativen Leistungsanalyse von Vielteilnehmer-Rechensystemen. Dessertation, Faculty for Mathematics and Computer Science, Technical university Munich
Co HC, Wysk RA (1986) The robustness of can-q in modelling automated manufacturing systems. International journal of production research 24(6):1485–1503
Dai J, Harrison J (1993) The qnet method for two-moment analysis of closed manufacturing systems. Annals of Applied Probability 3(4):968–1012
Dai W (2002) A brownian model for multiclass queueing networks with finite buffers. Journal of Computational and Applied Mathematics 144(1–2):145–160
Gelenbe E, Pujolle G (1987) Introduction to queueing networks. John Wiley, Chichester
Gordon W, Newell G (1967) Closed queueing systems with exponential servers. Operations Research 15(2):254–65
Govil M, Fu M (1999) Queueing theory in manufacturing : A survey. Journal of Manufacturing Systems 18(3):214–240
Gross D, Shortle JF, Thompson JM, Harris CM (2008) Fundamentals of Queueing Theory, 4th edn. John Wiley & Sons, Inc.
Harrison JM, Nguyen V (1990) The qnet method for two-moment analysis of open queueing networks. Queueing Sytems 6(1):1–32
Jackman J, Johnson E (1993) The role of queueing network models in performance evaluation of manufacturing systems. Journal of the Operational Research Society 44(8):797–807
Jackson J (1963) Jobshop-like queueing systems. Management Science 10(1):131–142
Jackson JR (1957) Networks of waiting lines. Operations Research 5(4):518–521
Kamath M, Sivaramakrishnan S, Shirhatti G (1995) Raqs: A software package to support instruction and research in queueing systems. Proceedings of 4th Industrial Engineering Research Conference, IIE, Norcross, GA pp 944–953
Karmarkar US, Kekre L, Freeman S (1985) Lotsizing and leadtime performance in a manufacturing cell. Interfaces 15(2):l–9
Kelly FP (1975) Networks of queues with customers of different types. Journal of Applied Probability 12(3):542–554
Kim S (2004) The heavy-traffic bottleneck phenomenon under splitting and superposition. European Journal of Operational Research 157(3):736–745
Kim S, Muralidharan R, O’Cinneide C (2005) Taking account of correlation between streams in queueing network approximations. Queueing Systems 49(3–4):261–281
Kuehn PJ (1979) Approximate analysis of general networks by decomposition. IEEE Transactions on Communications 27(1):113–126
Marie R (1979) An approximate analytic method for general queueing networks. IEEE Transactions on Software Engineer 5(5):530–538
Pinedo M (2002) Scheduling: Theory, Algorithms, and Systems, 2nd edn. Prentice-Hall Inc.
Pujolle G, Wu A (1986) A solution for multiserver and multiclass open queueing networks. Information Systems and Operations Research 24(3):221–230
Reiser M, Kobayashi H (1974) Accuracy of diffusion approximations for some queueing networks. IBM Journal of Research and Development 18(2):110–124
Segal M, Whitt W (1989) A queueing network analyzer for manufacturing. Proceedings of the 12th International Teletraffic Congress, Torino, Italy, June 1988 pp 1146–1152
Shanthikumar J, Ding S, Zang M (2007) Queueing theory for semiconductor manufacturing systems : A survey and open problems. IEEE Transactions on Automation Science and Engiheering 4(4):513–522
Snowdon JL, Ammons JC (1988) A survey of queueing network packages for the analysis of manufacturing systems. Manufacturing Review 1(1):14–25
Suri R (1998) Quick Response Manufacturing. Productivity Press, Portland, OR
Suri R, Diehl GW, Dean R (1986) Quick and easy manufacturing systems analysis using manuplan. Proceedings of the Spring HE Conference, Dallas, TX pp 195–205
Suri R, Sanders J, Kamath M (1993) Performance Evaluation of Production Networks, vol 4: Logistics of Production and Inventory, Elsevier, pp 199–286
Suri R, Diehl GWW, de Treville S, Tomsicek MJ (1995) From can-q to mpx: Evolution of queuing software for manufacturing. Interfaces 25(5):128–150
de Treville S, Van Ackere A (2006) Equipping students to reduce lead times: The role of queuing-theory-based modeling. Interfaces 36(2):165–173
Vokurka RJ, Choobineh R, Vadi L (1996) A prototype expert system for the evaluation and selection of potential suppliers. International Journal of Operations & Production Management 16(12):106–127
Whitt W (1983) The queuing network analyzer. Bell Systems Technical Journal 62(9):2779–2815
Whitt W (1994) Towards better multi-class parametric-decomposition approximations for open queueing networks. Annals of Operations Research 48(3):221–248
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer London
About this paper
Cite this paper
Rabta, B., Alp, A., Reiner, G. (2009). Queueing Networks Modeling Software for Manufacturing. In: Reiner, G. (eds) Rapid Modelling for Increasing Competitiveness. Springer, London. https://doi.org/10.1007/978-1-84882-748-6_2
Download citation
DOI: https://doi.org/10.1007/978-1-84882-748-6_2
Publisher Name: Springer, London
Print ISBN: 978-1-84882-747-9
Online ISBN: 978-1-84882-748-6
eBook Packages: EngineeringEngineering (R0)