Unpaced production lines with three simultaneous imbalance sources

Industrial Management & Data Systems

Volumn 111, Issue 9, 2011, Pages 1356-1380

  McNamara, Tom ^a   Hudson, Sarah ^a   Shaaban, Sabry ^b  

^a RENNES SCHOOL OF BUSINESS   (France)

^b University of Poitiers   (France)

Author keywords

Buffer imbalance; Means imbalance; Operations and production management; Optimized production scheduling; Simulation; Unpaced production lines; Variability imbalance

Indexed keywords

EID: 84878649582     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/02635571111182746     Document Type: Article

References (40)

1. Altiparmak, F., Dengiz, B. and Bulgak, A.A. (2002), “Optimization of buffer sizes in assembly systems using intelligent techniques”, Proceedings of the 2002 Winter Simulation Conference, San Diego, CA, USA, December 8-11, pp. 1157-62.
2. Atwater, B.J. and Chakravorty, S.S. (1994), “Does protective capacity assist managers in competing along time-based dimensions?”, Production and Inventory Control Management Journal, Vol. 35 No. 3, pp. 53-59.
3. Carnall, C.A. and Wild, R. (1976), “The location of variable work stations and the performance of production lines”, International Journal of Production Research, Vol. 16 No. 6, pp. 703-710.
4. Carson, J.S. (2002), “Model verification and validation”, Proceedings of the 34th Conference on Winter Simulation, San Diego, CA, USA, December 8-11, pp. 52-58.
5. Carson, J.S. (2003), “Introduction to modelling and simulation”, Proceedings of the 2003 Winter Simulation Conference, New Orleans, LA, USA, December 7-10, pp. 7-13.
6. Chan, F.T.S. and Ng, E.Y.H. (2002), “Comparative evaluations of buffer allocation strategies in a serial production line”, International Journal of Advanced Manufacturing Technology, Vol. 2, pp. 789-800.
7. Chiadamrong, N. and Limpasontipong, P. (2003), “Using storage buffer to improve unbalanced asynchronous production flow line's performance”, International Journal of Manufacturing Technology and Management, Vol. 5 Nos 1 / 2, pp. 149-161.
8. Chow, W.M. (1987), “Buffer capacity analysis for sequential production lines with variable process times”, International Journal of Production Research, Vol. 25 No. 8, pp. 1183-96.
9. Conway, R., Maxwell, W., Mc Clain, J. and Thomas, L.J. (1988), “The Role of work in progress inventory in serial production lines”, Operations Research, Vol. 36 No. 2, pp. 229-241.
10. De La Wyche, P. and Wild, R. (1977), “The design of imbalanced series queue flow lines”, Operational Research Quarterly, Vol. 28 No. 3, pp. 695-702.
11. El Rayah, T. (1979), “The efficiency of balanced and unbalanced production lines”, International Journal of Production Research, Vol. 17 No. 1, pp. 61-75.
12. Gogg, T.J. and Mott, J.R.A. (1993), “Introduction to simulation”, Proceedings of the 1993 Winter Simulation Conference, Los Angeles, CA, USA, December 12-15, pp. 9-17.
13. Harrell, C., Ghosh, B.K. and Bowden, R.O. (2004), Simulation Using Pro Model, Mc Graw-Hill, New York, NY.
14. Harris, J.H. and Powell, S.G. (1999), “An algorithm for optimal buffer placement in reliable serial lines”, IIE Transactions, Vol. 31 No. 4, pp. 287-302.
15. Hill, R.R. (2002), “Process simulation in excel for a quantitative management course”, INFORMS Transactions on Education, Vol. 2 No. 2, pp. 1-10.
16. Hillier, F.S. and So, K.C. (1996), “On the simultaneous optimization of server and work allocations in production line systems with variable operation times”, Operations Research, Vol. 44 No. 3, pp. 245-266.
17. Hillier, M.S. (2000), “Characterizing the optimal allocation of storage space in production line systems with variable processing times”, IIE Transactions, Vol. 32 No. 1, pp. 1-8.
18. Hlupic, V. and Paul, R.J. (1999), “Guidelines for selection of manufacturing simulation software”, IIE Transactions, Vol. 31, pp. 21-29.
19. Kadipasaoglu, S.K., Xiang, W., Hurley, S.F. and Khumawala, B.M. (2000), “A study on the effects of the extent and location of protective capacity in flow systems”, International Journal of Production Economics, Vol. 63, pp. 217-228.
20. Law, A.M. and Kelton, W.D. (2000), Simulation Modeling and Analysis, Irwin/Mc Graw-Hill, Boston, MA.
21. Liu, C.M. and Lin, C.L. (1994), “Performance evaluation of unbalanced serial production lines”, International Journal of Production Research, Vol. 32 No. 12, pp. 2897-914.
22. Liu, C.M., Su, S.F. and Lin, C.L. (1996), “Predictive models for performance evaluation of serial production lines”, International Journal of Production Research, Vol. 34 No. 5, pp. 1279-91.
23. Muth, E.J. and Alkaff, A. (1987), “The bowl phenomenon revisited”, International Journal of Production Research, Vol. 25 No. 2, pp. 161-173.
24. Payne, S., Slack, N. and Wild, R. (1972), “A note on the operating characteristics of ‘balanced’ and ‘unbalanced’ production flow lines”, International Journal of Production Research, Vol. 10 No. 1, pp. 93-98.
25. Powell, S.G. (1994), “Buffer allocation in unbalanced three-station serial lines”, International Journal of Production Research, Vol. 32 No. 9, pp. 2201-17.
26. Powell, S.G. and Pyke, D.F. (1996), “Allocation of buffers to serial production lines with bottlenecks”, IIE Transactions, Vol. 28 No. 1, pp. 18-29.
27. Powell, S.G. and Pyke, D.F. (1998), “Buffering unbalanced assembly systems”, IIE Transactions, Vol. 30, pp. 55-65.
28. Rao, N.P. (1976), “A generalisation of the bowl phenomenon in series production systems”, International Journal of Production Research, Vol. 14 No. 4, pp. 437-443.
29. Sabuncuoglu, I., Erel, E. and Gocgun, Y. (2006), “Analysis of serial production lines: characterisation study and a new heuristic procedure for optimal buffer allocation”, International Journal of Production Research, Vol. 44 No. 13, pp. 2499-523.
30. Sanchez, P.J. (2006), “As simple as possible, but no simpler: a gentle introduction to simulation modeling”, Proceedings of the 2006 Winter Simulation Conference, Monterey, CA, USA, December 3-6, pp. 2-10.
31. Sargent, R.G. (2005), “Verification and validation of simulation models”, Proceedings of the 2005 Winter Simulation Conference, Orlando, FL, USA, December 4-7, pp. 130-143.
32. Shaaban, S. (2010), “The performance of unpaced lines with unequal operating time variabilities and buffer sizes”, International Journal of Manufacturing Technology and Management, Vol. 20 Nos 1-4, pp. 46-58.
33. Shaaban, S. and Hudson, S. (2009), “The performance of unpaced serial production lines with unequal coefficients of variation of processing times”, International Journal of Computer Applications in Technology, Vol. 34 No. 2, pp. 122-8.
34. Shaaban, S. and Mc Namara, T. (2009 a), “Improving the efficiency of unpaced production lines by unbalancing service time means”, International Journal of Operations Research, Vol. 4 No. 3, pp. 346-360.
35. Shaaban, S. and Mc Namara, T. (2009 b), “The effects of joint operation time means and variability unbalance on production line performance”, International Journal of Manufacturing Technology and Management, Vol. 18 No. 1, pp. 59-78.
36. Slack, N. (1982), “Work time distributions in production system modelling”, Research paper, Oxford Centre for Management Studies.
37. So, K.C. (1997), “Optimal buffer allocation strategy for minimizing work-in-progress inventory in unpaced production lines”, IIE Transactions, Vol. 29, pp. 81-88.
38. Tempelmeier, H. (2003), “Practical considerations in the optimization of flow production systems”, International Journal of Production Research, Vol. 41 No. 1, pp. 149-170.
39. Vergara, H.A. and Kim, D.S. (2009), “A new method for the placement of buffers in serial production lines”, International Journal of Production Research, Vol. 47, pp. 4437-56.
40. Yamashita, H. and Altiok, T. (1998), “Buffer capacity allocation for a desired throughput in production lines”, IIE Transactions, Vol. 30, pp. 883-891.