Article

Manufacturing modeling methods: USE of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems

Authors:

S. T. Enns,

Sangjin ChoiAuthors Info & Claims

WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

Pages 1123 - 1129

Published: 08 December 2002 Publication History

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Abstract

There is a lack of prescriptive methods for setting lot sizes and planned lead times effectively in MRP systems. Recent research has suggested the application of queuing relationships. This study experimentally investigates the use of GI/G/1 relationships for lot size selection along with the use of exponentially smoothed feedback for dynamic planned lead time setting. Results show that assumptions regarding lot interarrival time variability have a large effect on lot sizes and performance.

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Enns, S. T. 2002b. Work load responsive adjustment of MRP planned lead times, In Proceedings of the 2nd International Responsive Manufacturing Conference, ed. A. Baykasoglu and T. Dereli, 658--662. Gaziantep, Turkey.

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Enns SSuwanruji PNicol DFujimoto R(2006)Observations on material flow in supply chainsProceedings of the 38th conference on Winter simulation10.5555/1218112.1218375(1446-1451)Online publication date: 3-Dec-2006
https://dl.acm.org/doi/10.5555/1218112.1218375
Enns SZhu P(2005)Optimal lot-sizing in a two-stage system with auto-correlated arrivalsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163005(1705-1711)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163005
Enns SSuwanruji P(2005)Lot-sizing within capacity-constrained manufacturing systems using time-phased planningProceedings of the 37th conference on Winter simulation10.5555/1162708.1162961(1433-1440)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162961
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Manufacturing modeling methods: USE of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems
1. Applied computing
  1. Operations research
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Machine learning theory
      1. Reinforcement learning

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Queueing networks are often used to model complex systems when the performance of the system is affected by contention for resources. Complex queueing problems occur in areas such as communication networks, computer systems, and manufacturing systems. ...

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WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

December 2002

2143 pages

ISBN:0780376153

General Chair:
Jane L. Snowdon
IBM T. J. Watson Research Center, Yorktown Heights, NY
,
Program Chair:
John M. Charnes
The University of Kansas, Lawrence, KS

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Winter Simulation Conference

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Published: 08 December 2002

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WSC02: Winter Simulation Conference 2002

December 8 - 11, 2002

California, San Diego

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WSC '02 Paper Acceptance Rate 166 of 185 submissions, 90%;

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Enns SSuwanruji PNicol DFujimoto R(2006)Observations on material flow in supply chainsProceedings of the 38th conference on Winter simulation10.5555/1218112.1218375(1446-1451)Online publication date: 3-Dec-2006
https://dl.acm.org/doi/10.5555/1218112.1218375
Enns SZhu P(2005)Optimal lot-sizing in a two-stage system with auto-correlated arrivalsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163005(1705-1711)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163005
Enns SSuwanruji P(2005)Lot-sizing within capacity-constrained manufacturing systems using time-phased planningProceedings of the 37th conference on Winter simulation10.5555/1162708.1162961(1433-1440)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162961
Enns SLi L(2004)Optimal lot-sizing with capacity constraints and auto-correlated interarrival timesProceedings of the 36th conference on Winter simulation10.5555/1161734.1161930(1073-1078)Online publication date: 5-Dec-2004
https://dl.acm.org/doi/10.5555/1161734.1161930
Enns SSuwanruji PFerrin DMorrice D(2003)Simulation test bed for manufacturing analysisProceedings of the 35th conference on Winter simulation: driving innovation10.5555/1030818.1030974(1174-1182)Online publication date: 7-Dec-2003
https://dl.acm.org/doi/10.5555/1030818.1030974

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Modelling and analysis of token-passing computer networks

Queueing systems with vacations and priorities with applications in production and computer systems modeling

Manufacturing modeling using RESQ

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Modelling and analysis of token-passing computer networks

Queueing systems with vacations and priorities with applications in production and computer systems modeling

Manufacturing modeling using RESQ

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