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Growing Science » International Journal of Industrial Engineering Computations » A Markov chain analysis of the effectiveness of drum-buffer-rope material flow management in job shop environment

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 6 Issue 4 pp. 457-468, 2015

A Markov chain analysis of the effectiveness of drum-buffer-rope material flow management in job shop environment Pages 457-468 Right click to download the paper Download PDF

Authors: Masoud Rabbani, Fahimeh Tanhaie

📋 Author Affiliations:
Masoud Rabbani, Fahimeh Tanhaie
¹ School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
doi 10.5267/j.ijiec.2015.6.001
7 Source: Scopus
Crossref 3 Source: CrossRef

🔑 Keywords: Drum-Buffer-Rope, Markov chain, Theory of constraints, Traditional method

Abstract: The theory of constraints is an approach for production planning and control, which emphasizes on the constraints in the system to increase throughput. The theory of constraints is often referred to as Drum-Buffer-Rope developed originally by Goldratt. Drum-Buffer-Rope uses the drum or constraint to create a schedule based on the finite capacity of the first bottleneck. Because of complexity of the job shop environment, Drum-Buffer-Rope material flow management has very little attention to job shop environment. The objective of this paper is to apply the Drum-Buffer-Rope technique in the job shop environment using a Markov chain analysis to compare traditional method with Drum-Buffer-Rope. Four measurement parameters were considered and the result showed the advantage of Drum-Buffer-Rope approach compared with traditional one.

How to cite this paper
APA: Rabbani, M & Tanhaie, F. (2015). A Markov chain analysis of the effectiveness of drum-buffer-rope material flow management in job shop environment. International Journal of Industrial Engineering Computations, 6(4), 457-468.
Chicago/Turabian: Rabbani, M & Tanhaie, F. 2015. "A Markov chain analysis of the effectiveness of drum-buffer-rope material flow management in job shop environment." International Journal of Industrial Engineering Computations 6, no. 4 (2015): 457-468.
AMA: Rabbani, M & Tanhaie, F. A Markov chain analysis of the effectiveness of drum-buffer-rope material flow management in job shop environment. International Journal of Industrial Engineering Computations. 2015;6(4):457-468.

References
Babu, T. R., Rao, K. S. P., & Maheshwaran, C. U. (2007). Application of TOC embedded ILP for increasing throughput of production lines. The International Journal of Advanced Manufacturing Technology, 33(7-8), 812-818.

Betterton, C. E., & Cox, J. F. (2009). Espoused drum-buffer-rope flow control in serial lines: A comparative study of simulation models. International Journal of Production Economics, 117(1), 66-79.

Bozzone, V. (2002). The Theory of Delays, A Tool For Improving Performance And Profitability: In Job Shops & Custom Manufacturing Environment. New York: AMACON/American Management.

Chakravorty, S. S. (2001). An evaluation of the DBR control mechanism in a job shop environment. Omega, 29(4), 335-342.

Chakravorty, S. S., & Atwater, J. B. (2005). The impact of free goods on the performance of drum-buffer-rope scheduling systems. International Journal of Production Economics, 95(3), 347-357.

Chakravorty, S. S., & Verhoeven, P. R. (1996). Learning the theory of constraints with a simulation game. Simulation & Gaming, 27(2), 223-237.

Chakravorty, S. S., & Verhoeven, P. R. (1996). Learning the theory of constraints with a simulation game. Simulation & Gaming, 27(2), 223-237.

Cheraghi, S. H., Dadashzadeh, M., & Soppin, M. (2011). Comparative analysis of production control systems through simulation. Journal of Business & Economics Research (JBER), 6(5), 87-104.

Georgiadis, P., & Politou, A. (2013). Dynamic Drum-Buffer-Rope approach for production planning and control in capacitated flow-shop manufacturing systems. Computers & Industrial Engineering, 65(4), 689-703.

Goldratt, E. (1997). Critical chain. Great Barrington, MA: North River Press.

Goldratt, E. (1988). Computerized shop floor scheduling. International Journal of Production Research, 26(3), 443-455.

Goldratt, E. (1990). What is this thing called theory of constraints and how should it be implemented?. Croton-on-Hudson, N.Y.: North River Press.

Goldratt, E., & Fox, R. (1986). The race. Croton-on-Hudson, NY: North River Press.

Grinstead, C., Snell, J., & Snell, J. (1997). Introduction to probability. Providence, RI: American Mathematical Society.

Gupta, M. (2003). Constraints management--recent advances and practices. International Journal of Production Research, 41(4), 647-659.

Gupta, M., & Snyder, D. (2009). Comparing TOC with MRP and JIT: a literature review. International Journal of Production Research, 47(13), 3705-3739.

Kemeny, J., & Snell, J. (1960). Finite markov chains. Princeton, N.J.: Van Nostrand.

Lee, J., Chang, J., Tsai, C., & Li, R. (2010). Research on enhancement of TOC Simplified Drum-Buffer-Rope system using novel generic procedures. Expert Systems with Applications, 37(5), 3747-3754.

Miltenburg, J. (1997). Comparing JIT, MRP and TOC, and embedding TOC into MRP. International Journal of Production Research, 35(4), 1147-1169.

Pegels, C., & Watrous, C. (2005). Application of the theory of constraints to a bottleneck operation in a manufacturing plant. Journal of Manufacturing Technology Management, 16(3), 302-311.

Radovilsky, Z. (1998). A quantitative approach to estimate the size of the time buffer in the theory of constraints. International Journal of Production Economics, 55(2), 113-119.

Rahman, S. (1998). Theory of constraints. International Journal of Operations & Production Management, 18(4), 336-355.

Rand, G. (2000). Critical chain: the theory of constraints applied to project management. International Journal of Project Management, 18(3), 173-177.

Ray, A., Sarkar, B., & Sanyal, S. (2010). The TOC-Based algorithm for solving multiple constraint resources. IEEE Transactions on Engineering Management, 57(2), 301-309.

Ray, A., Sarkar, B., & Sanyal, S. (2008). An improved theory of constraints. International Journal of Accounting & Information Management, 16(2), 155-165.

Sale, M., & Inman, R. (2003). Survey-based comparison of performance and change in performance of firms using traditional manufacturing, JIT and TOC. International Journal of Production Research, 41(4), 829-844.

Schragenheim, E., & Boaz, R. (1990). The Drum-Buffer-Rope shop floor control. Production and Inventory Management Journal, 31(3), 18-23.

Schragenheim, E. and Dettmer, H. (2000). Manufacturing at warp speed. Boca Raton, FL: St. Lucie Press.

Steele, D., Philipoom, P., Malhotra, M., & Fry, T. (2005). Comparisons between drum–buffer–rope and material requirements planning: a case study. International Journal of Production Research, 43(15), 3181-3208.

Wu, S., Morris, J., & Gordon, T. (1994). A simulation analysis of the effectiveness of drum-buffer-rope scheduling in furniture manufacturing. Computers & Industrial Engineering, 26(4), 757-764.
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📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2015 | 📖 Volume: 6 | 📄 Issue: 4 | 👁️ Views: 2822 | 📊 Crossref: 3

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