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A queueing analysis of multi-purpose production facility's operations
A hybrid particle swarm optimization and tabu search algorithm for order planning problems of steel factories based on the Make-To-Stock and Make-To-Order management architecture
1. | School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433 |
2. | School of Computer Science, Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 200433 |
3. | Department of Industrial and Management Systems Engineering, PO Box 6070, West Virginia University, Morgantown, WV 26505, United States |
4. | Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, United States |
References:
[1] |
I. J. B. F. Adan and J. van der Wal, Combing make to order and make to stock, OR Spectrum, 20 (1998), 73-81.
doi: 10.1007/BF01539854. |
[2] |
A. Arreola-risa and G. A. DeCroix, Make-to-order versus make-to-stock in a production-inventory system with general production times, IIE Transactions, 30 (1998), 705-713.
doi: 10.1080/07408179808966516. |
[3] |
A. Balakrishnan and J. Guenes, Production planning with flexible product specifications: an application to special steel manufacturing, Operations Research, 51 (2003), 94-115.
doi: 10.1287/opre.51.1.94.12791. |
[4] |
M. Ben-Daya and M. Al-Fawzan, A tabu search approach for the flow shop scheduling problem, European Journal of Operational Research, 109 (1998), 88-95.
doi: 10.1016/S0377-2217(97)00136-7. |
[5] |
D. Corti, A. Pozzetti and M. Zorzini, A capacity-driven approach to establish reliable due dates in a MTO environment, International Journal of Production Economics, 104 (2006), 536-554.
doi: 10.1016/j.ijpe.2005.03.003. |
[6] |
P. Cowling, A flexible decision support system for steel hot rolling mill scheduling, Computers & Industrial Engineering, 45 (2003), 307-321.
doi: 10.1016/S0360-8352(03)00038-X. |
[7] |
B. Denton, D. Gupta and K. Jawahir, Managing increasing products variety at integrated steel mills, Interfaces, 33 (2003), 41-53. |
[8] |
G. Dutta and R. Fourer, An optimization-based decision support system for strategic and operational planning in process industries, Optimization and Engineering, 5 (2004), 295-314.
doi: 10.1023/B:OPTE.0000038888.65465.4e. |
[9] |
V. Ganapathy, S. Marimuthu and S. G. Ponnambalam, Tabu search and simulated annealing algorithms for lot-streaming in two-machine flowshop, IEEE International Conference on Systems, Man and Cybernetics, The Hague, Netherlands, (2004), 4221-4225. |
[10] |
J. Grabowski and J. Pempera, The permutation flow shop problem with blocking: A tabu search approach, International Journal of Management Science, 35 (2007), 302-311. |
[11] |
Z. Gao and L. Tang, A multi-object model for purchasing of bulk raw materials of a large-scale integrated steel plant, International Journal of Production Economics, 83 (2003), 325-334.
doi: 10.1016/S0925-5273(02)00373-0. |
[12] |
K. Hu, W. Chen, D. Wang and B. Zheng, Research for joint optimization of inventory matching and production planning considering mass factor, (Chinese), Theory Methodology applications, 13 (2004), 199-202. |
[13] |
J. R. Kalagnamam, M. W. Dewande, M. Trumbo and S. H. Lee, The surplus inventory matching problem in the process industry, Operations Research, 48 (2000), 505-516.
doi: 10.1287/opre.48.4.505.12425. |
[14] |
J. Kennedy and R. Eberhart, Particle swarm optimization, IEEE Service Center, 4 (1995), 1942-1948. |
[15] |
K. Kogan, E. Khmelnitsky and O. Maimon, Balancing facilities in aggregate production planning: Make-to-order and make-to-stock environments, International Journal of Production Research, 36 (1998), 2585-2596.
doi: 10.1080/002075498192715. |
[16] |
Z. Liang, X. Gu and B. Jiao, A novel particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan, Chaos, Solitons and Fractals, 35 (2008), 851-861.
doi: 10.1016/j.chaos.2006.05.082. |
[17] |
S. Liu, J. Tang and J. Song, Order-planning model and algorithm for manufacturing steel sheets, International Journal of Production Economics, 100 (2006), 30-43.
doi: 10.1016/j.ijpe.2004.10.002. |
[18] |
S. Q. Liu, H. L. Ong and K. M. Ng, A fast tabu search algorithm for the group shop scheduling problem, Advances in Engineering Software, 36 (2005), 533-539. |
[19] |
J. Meredith and U. Akinc, Characterizing and structuring a new make-to-forecast production strategy, Journal of Operations Management, 25 (2007), 623-642.
doi: 10.1016/j.jom.2006.04.006. |
[20] |
V. Nguyen, A multiclass hybrid production center in heavy traffic, Operations Research, 46 (1998), 13-25.
doi: 10.1287/opre.46.3.S13. |
[21] |
Q. K. Pan, M. F. Tasgetiren and Y. C. Liang, A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem, Computers and Operations Research, 35 (2008), 2807-2839.
doi: 10.1016/j.cor.2006.12.030. |
[22] |
P. M. Pardalos and V. Korotkikh, "Optimization and Industry: New Frontiers," Kluwer Academic Publishers, 2003. |
[23] |
P. M. Pardalos and M. G. C. Resende, "Handbook of Applied Optimization," Oxford University Press, Inc, New York, 2002. |
[24] |
H. Rezazadeh, M. Ghazanfari, M. Saidi-Mehrabad and S. J. Sadjadi, An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem, Journal of Zhejiang University Science A, 10 (2009), 520-529.
doi: 10.1631/jzus.A0820284. |
[25] |
C. A. Soman, D. P. van Donk and G. Gaalman, Combined make-to-order and make-to-stock in a food production system, International Journal of Production Economics, 90 (2004), 223-235.
doi: 10.1016/S0925-5273(02)00376-6. |
[26] |
C. A. Soman, D. P. van Donk and G. Gaalman, Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand, International Journal of Production Economics, 104 (2004), 441-453.
doi: 10.1016/j.ijpe.2004.08.002. |
[27] |
I. C. Trelea, The particle swarm optimization algorithm: convergence analysis and parameter selection, Information Processing Letters, 85 (2003), 317-325.
doi: 10.1016/S0020-0190(02)00447-7. |
[28] |
H. Tsubone, Y. Ishikawa and H. Yamamoto, Production planning system for a combination of make-to-stock and make-to-order products, International Journal of Production Research, 40 (2002), 4835-4851.
doi: 10.1080/00207540210158834. |
[29] |
K. H. Youssef, C. van Delft and Y. Dallery, Efficient scheduling rules in a combined make-to-stock and make-to-order manufacturing system, Annals of Operations Research, 126 (2004), 103-134.
doi: 10.1023/B:ANOR.0000012277.97069.a6. |
[30] |
T. Zhang, M. Wang, L. Tang, J. Song and J. Yang, The method for the order planning of the steel plant based on the MTO management system, (Chinese), Control and Decision, 15 (2000), 649-653. |
[31] |
T. Zhang, Y. Zhang and S. Liu, A mixed integer programming model and improved genetic algorithm for order planning of Iron-Steel Plants, International Journal of Information and Management Science, 19 (2008), 413-435. |
[32] |
T. Zhang, W. A. Chaovalitwongse, Y. Zhang and P. M. Pardalos, The hot-rolling batch scheduling method based on the prize collecting vehicle routing problem, Journal of Industrial and Management Optimization, 5 (2009), 749-765.
doi: 10.3934/jimo.2009.5.749. |
show all references
References:
[1] |
I. J. B. F. Adan and J. van der Wal, Combing make to order and make to stock, OR Spectrum, 20 (1998), 73-81.
doi: 10.1007/BF01539854. |
[2] |
A. Arreola-risa and G. A. DeCroix, Make-to-order versus make-to-stock in a production-inventory system with general production times, IIE Transactions, 30 (1998), 705-713.
doi: 10.1080/07408179808966516. |
[3] |
A. Balakrishnan and J. Guenes, Production planning with flexible product specifications: an application to special steel manufacturing, Operations Research, 51 (2003), 94-115.
doi: 10.1287/opre.51.1.94.12791. |
[4] |
M. Ben-Daya and M. Al-Fawzan, A tabu search approach for the flow shop scheduling problem, European Journal of Operational Research, 109 (1998), 88-95.
doi: 10.1016/S0377-2217(97)00136-7. |
[5] |
D. Corti, A. Pozzetti and M. Zorzini, A capacity-driven approach to establish reliable due dates in a MTO environment, International Journal of Production Economics, 104 (2006), 536-554.
doi: 10.1016/j.ijpe.2005.03.003. |
[6] |
P. Cowling, A flexible decision support system for steel hot rolling mill scheduling, Computers & Industrial Engineering, 45 (2003), 307-321.
doi: 10.1016/S0360-8352(03)00038-X. |
[7] |
B. Denton, D. Gupta and K. Jawahir, Managing increasing products variety at integrated steel mills, Interfaces, 33 (2003), 41-53. |
[8] |
G. Dutta and R. Fourer, An optimization-based decision support system for strategic and operational planning in process industries, Optimization and Engineering, 5 (2004), 295-314.
doi: 10.1023/B:OPTE.0000038888.65465.4e. |
[9] |
V. Ganapathy, S. Marimuthu and S. G. Ponnambalam, Tabu search and simulated annealing algorithms for lot-streaming in two-machine flowshop, IEEE International Conference on Systems, Man and Cybernetics, The Hague, Netherlands, (2004), 4221-4225. |
[10] |
J. Grabowski and J. Pempera, The permutation flow shop problem with blocking: A tabu search approach, International Journal of Management Science, 35 (2007), 302-311. |
[11] |
Z. Gao and L. Tang, A multi-object model for purchasing of bulk raw materials of a large-scale integrated steel plant, International Journal of Production Economics, 83 (2003), 325-334.
doi: 10.1016/S0925-5273(02)00373-0. |
[12] |
K. Hu, W. Chen, D. Wang and B. Zheng, Research for joint optimization of inventory matching and production planning considering mass factor, (Chinese), Theory Methodology applications, 13 (2004), 199-202. |
[13] |
J. R. Kalagnamam, M. W. Dewande, M. Trumbo and S. H. Lee, The surplus inventory matching problem in the process industry, Operations Research, 48 (2000), 505-516.
doi: 10.1287/opre.48.4.505.12425. |
[14] |
J. Kennedy and R. Eberhart, Particle swarm optimization, IEEE Service Center, 4 (1995), 1942-1948. |
[15] |
K. Kogan, E. Khmelnitsky and O. Maimon, Balancing facilities in aggregate production planning: Make-to-order and make-to-stock environments, International Journal of Production Research, 36 (1998), 2585-2596.
doi: 10.1080/002075498192715. |
[16] |
Z. Liang, X. Gu and B. Jiao, A novel particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan, Chaos, Solitons and Fractals, 35 (2008), 851-861.
doi: 10.1016/j.chaos.2006.05.082. |
[17] |
S. Liu, J. Tang and J. Song, Order-planning model and algorithm for manufacturing steel sheets, International Journal of Production Economics, 100 (2006), 30-43.
doi: 10.1016/j.ijpe.2004.10.002. |
[18] |
S. Q. Liu, H. L. Ong and K. M. Ng, A fast tabu search algorithm for the group shop scheduling problem, Advances in Engineering Software, 36 (2005), 533-539. |
[19] |
J. Meredith and U. Akinc, Characterizing and structuring a new make-to-forecast production strategy, Journal of Operations Management, 25 (2007), 623-642.
doi: 10.1016/j.jom.2006.04.006. |
[20] |
V. Nguyen, A multiclass hybrid production center in heavy traffic, Operations Research, 46 (1998), 13-25.
doi: 10.1287/opre.46.3.S13. |
[21] |
Q. K. Pan, M. F. Tasgetiren and Y. C. Liang, A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem, Computers and Operations Research, 35 (2008), 2807-2839.
doi: 10.1016/j.cor.2006.12.030. |
[22] |
P. M. Pardalos and V. Korotkikh, "Optimization and Industry: New Frontiers," Kluwer Academic Publishers, 2003. |
[23] |
P. M. Pardalos and M. G. C. Resende, "Handbook of Applied Optimization," Oxford University Press, Inc, New York, 2002. |
[24] |
H. Rezazadeh, M. Ghazanfari, M. Saidi-Mehrabad and S. J. Sadjadi, An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem, Journal of Zhejiang University Science A, 10 (2009), 520-529.
doi: 10.1631/jzus.A0820284. |
[25] |
C. A. Soman, D. P. van Donk and G. Gaalman, Combined make-to-order and make-to-stock in a food production system, International Journal of Production Economics, 90 (2004), 223-235.
doi: 10.1016/S0925-5273(02)00376-6. |
[26] |
C. A. Soman, D. P. van Donk and G. Gaalman, Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand, International Journal of Production Economics, 104 (2004), 441-453.
doi: 10.1016/j.ijpe.2004.08.002. |
[27] |
I. C. Trelea, The particle swarm optimization algorithm: convergence analysis and parameter selection, Information Processing Letters, 85 (2003), 317-325.
doi: 10.1016/S0020-0190(02)00447-7. |
[28] |
H. Tsubone, Y. Ishikawa and H. Yamamoto, Production planning system for a combination of make-to-stock and make-to-order products, International Journal of Production Research, 40 (2002), 4835-4851.
doi: 10.1080/00207540210158834. |
[29] |
K. H. Youssef, C. van Delft and Y. Dallery, Efficient scheduling rules in a combined make-to-stock and make-to-order manufacturing system, Annals of Operations Research, 126 (2004), 103-134.
doi: 10.1023/B:ANOR.0000012277.97069.a6. |
[30] |
T. Zhang, M. Wang, L. Tang, J. Song and J. Yang, The method for the order planning of the steel plant based on the MTO management system, (Chinese), Control and Decision, 15 (2000), 649-653. |
[31] |
T. Zhang, Y. Zhang and S. Liu, A mixed integer programming model and improved genetic algorithm for order planning of Iron-Steel Plants, International Journal of Information and Management Science, 19 (2008), 413-435. |
[32] |
T. Zhang, W. A. Chaovalitwongse, Y. Zhang and P. M. Pardalos, The hot-rolling batch scheduling method based on the prize collecting vehicle routing problem, Journal of Industrial and Management Optimization, 5 (2009), 749-765.
doi: 10.3934/jimo.2009.5.749. |
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