Use of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems

Winter Simulation Conference Proceedings

Volumn 2, Issue , 2002, Pages 1123-1129

  Enns, Silvanus T ^a   Choi, Sangjin ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b Korea Institute of Energy Research (KIER)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; FEEDBACK; MATERIALS SCIENCE; PARAMETER ESTIMATION;

MATERIAL REQUIREMENTS PLANNING (MRP);

QUEUEING THEORY;

EID: 0036928986     PISSN: 02750708     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Enns, S.T. 2002a. MRP performance effects due to forecasting bias and demand uncertainty, European Journal of Operational Research, Vol. 138, No. 1, 87-102.
3. nd International Responsive Manufacturing Conference, ed. A. Baykasoglu and T. Dereli, 658-662. Gaziantep, Turkey.
4. Hill, A.V., and A.S. Raturi. 1992. A model for determining tactical parameters for Materials Requirements Planning systems, Journal of the Operational Research Society, Vol. 43, 605-620.
5. Jonsson, H. and E.A. Silver. 1985. Impact of processing and queueing times on order quantities, Material Flow, Vol. 2, 221-230.
6. nd Ed., McGraw-Hill Co.
7. Lambrecht, M.R., and N.J. Vandaele. 1996. A general approximation for the single product lot sizing model with queueing delays, European Journal of Operational Research, Vol. 95, 73-88.
8. Lambrecht, M.R., P.L. Ivens, and N.J. Vandaele. 1998. ACLIPS: A Capacity and Lead Time Integrated Procedure for Scheduling, Management Science, Vol. 44, 1548-1561.
9. Whitt, W. 1983. The Queueing Network Analyzer, The Bell Systems Technical Journal, Vol. 62, No. 9, 2779-2813.