Performance evaluation of a multi-product system under CONWIP control

IIE Transactions (Institute of Industrial Engineers)

Volumn 40, Issue 3, 2008, Pages 252-264

  Satyam, Kumar ^a   Krishnamurthy, Ananth ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Closed queuing network; CONWIP; Fork join stations; Multi product systems; Parametric decomposition; Pull systems; Two moment approximations

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL EFFICIENCY; MANUFACTURE; NONLINEAR EQUATIONS; QUEUEING NETWORKS; THROUGHPUT;

FORK/JOIN STATIONS; MULTI-PRODUCT SYSTEMS; PARAMETRIC DECOMPOSITION; PULL SYSTEMS; TWO-MOMENT APPROXIMATIONS;

PRODUCTION CONTROL;

EID: 38049086229     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170701488086     Document Type: Conference Paper

References (20)

1. Baynat, B. and Dallery, Y. (1996) A product-form approximation method for general closed queuing networks with several classes of customers. Performance Evaluation, 24, pp. 165-188.
2. Bitran, G. R. and Tirupati, D. (1988) Multiproduct queuing networks with deterministic routing: Decomposition approach and the notion of interference. Management Science, 34:1, pp. 75-100.
3. Bonvik, A. M., Dallery, Y. and Gershwin, S. B. (2000) Approximate analysis of production systems operated by a CONWIP/finite buffer hybrid control policy. International Journal of Production Research, 38:13, pp. 2845-2869.
4. Broyden, C. G. (1965) A class of methods for solving non-linear simultaneous equations. Mathematics of Computation, 19, pp. 577-593.
5. Buzacott, J. A. and Shantikumar, J. G. (1993) Stochastic Models of Manufacturing Systems, Prentice Hall, Englewood Cliffs, NJ
6. Duenyas, I. (1994) A simple release policy for networks of queues with controllable inputs. Operations Research, 42, pp. 1162-1171.
7. Hopp, W. and Roof, M. (1998) Setting WIP levels with statistical throughput control (STC) in CONWIP production lines. International Journal of Production Research, 36, pp. 867-882.
8. Kamath, M., Suri, R. and Sanders, J. L. (1988) Analytical performance models for closed-loop flexible assembly systems. The International Journal of Flexible Manufacturing Systems, 1:1, pp. 51-84.
9. Krishnamurthy, A. and Suri, R. (2006) Performance analysis of single stage kanban controlled production systems using parametric decomposition. Queuing Systems: Theory and Applications, 54, pp. 141-162.
10. Krishnamurthy, A., Suri, R. and Vernon, M. (2003) Two-moment approximations for throughput and mean queue length of a fork/join station with general input processes. Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains, pp. 87-126. Kluwer
11. Ryan, S. M., Baynat, B. and Choobineh, F. (2000) Determining inventory levels in a CONWIP controlled job shop. IIE Transactions, 32, pp. 105-114.
12. Ryan, S. M. and Choobineh, F. (2003) Total WIP and WIP mix for a CONWIP controlled job shop. IIE Transactions, 35:3, pp. 405-418.
13. Ryan, S. M. and Vorasayan, J. (2005) Allocating work in process in multi-product CONWIP system with lost sales. International Journal of Production Research, 43, pp. 223-246.
14. Satyam, K. and Krishnamurthy, A. (2006) Analytical models for multi-product pull systems with batch sizes. Presented at the Industrial Engineering Research Conference Orlando, FL
15. Spearman, M. (1992) Customer service in pull production systems. Operations Research, 40, pp. 948-958.
16. Spearman, M., Woodruff, D. and Hopp, W. (1990) CONWIP: A pull alternative to kanban. International Journal of Production Research, 28, pp. 879-894.
17. Spearman, M. and Zazanis, M. (1992) Push and pull production systems: Issues and comparisons. Operations Research, 40, pp. 521-532.
18. Vandaele, N., Boeck, L. D. and Callewier, D. (2002) An open queuing network for lead time analysis. IIE Transactions, 34, pp. 1-9.
19. Whitt, W. (1983) The queuing network analyzer. The Bell System Technical Journal, 62:9, pp. 2779-2815.
20. Whitt, W. (1994) Towards better multi-class parametric decomposition approximations for open queuing networks. Annals of Operations Research, 48, pp. 221-248.