This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Traceable Part Batching Performance Modeling: A Simulation Case Study
Technical Paper
2004-01-2822
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper addresses a simulation modeling case study of a batching process. The batching process exists in a multi-server, multi-queue aircraft component manufacturing system where all parts and batches are serial numbered for traceability. Every lot of parts requires a unique set of serial numbers and the sequence of batches is required to follow the airplane master production schedule. The study goal was to identify and provide solutions to shorten arrival time differences among parts going to the same batch in a system of more than 100 shared processes. Queue lengths, resource utilization, bottlenecks, and various scenario comparisons were yielded from simulation modeling exercises.
Authors
Topic
Citation
Lu, R., Li, L., and Kim, K., "Traceable Part Batching Performance Modeling: A Simulation Case Study," SAE Technical Paper 2004-01-2822, 2004, https://doi.org/10.4271/2004-01-2822.Also In
References
- Huang M. G. Chang P. L. Chou Y. C. 2002 “Buffer Allocation in Flow-Shop-Type Production Systems with General Arrival and Service Patterns,” Computers and Operations Research 29 103 121
- Kayaligil S. Ozlu S. 2002 “Loading of Pallets on Identical CNC Machines with Cyclic Schedules,” Computers and Industrial Engineering 42 221 230
- Huang Y. F. Chao B. W. 2001 “A Priority-Based Resource Allocation Strategy in Distributed Computing Networks,” The Journal of Systems and Software 58 221 233
- Rohleder T. R. Scudder G. D. 1995 “Information Inaccuracy: Implications for Economic Production Scheduling,” International Journal of Production Economics 42 51 66
- Usher J. M. 2003 “Evaluating the Impact of Alternative Plans on Manufacturing Performance,” Computers and Industrial Engineering 45 585 596
- Chakravorty S. S. Atwater J. B. “The Impact of Free Goods on the Performance of Drum-Buffer-Rope Scheduling Systems,” International Journal of Production Economics
- Wang F. K. Lin J. T. 2004 “Performance Evaluation of an Automated Material Handling System for a Wafer Fab,” Robotics and Computer Integrated Manufacturing 20 91 100
- Jayamohan M. S. Rajendran C. 2004 “Discrete Optimization: Development and Analysis of Cost Based Dispatching Rules for Job Shop Scheduling,” European Journal of Operational Research 157 307 321
- Kannan V. R. Ghosh S. 1995 “Using Dynamic Cellular Manufacturing to Simplify Scheduling in Cell Based Production Systems,” Omega 23 443 452
- Bechhofer R. E. Elmaghraby S. Morse M. 1959 “A Single-Sample Multiple-Decision Procedure for Selecting the Multinomial Event Which has the Highest Probability,” Annals of Mathematical Statistics 30 102 119
- Pawlikowski K. McNickle D.C. Ewing G. 1998 “Coverage of Confidence Intervals in Sequential Steady-State Simulation,” Simulation Practice and Theory 6 3 255 267
- Koksalan M. M. Basoz N. 1991 “A Replication Approach to Interval Estimation in Simulation,” Winter Simulation Conference Proceedings 12 1991 1023 1029