An integrated simulation-optimization study for consolidating production lines in a configure-to-order production environment

International Journal of Production Economics

Volumn 148, Issue , 2014, Pages 51-61

  Aqlan, Faisal ^a   Lam, Sarah S ^a   Ramakrishnan, Sreekanth ^b  

^a State University of New York at Binghamton   (United States)

^b IBM   (United States)

Author keywords

Configure to order production; Dynamic batch size; Optimization; Process layout; Product layout; Server manufacturing; Simulation

Indexed keywords

DECISION SUPPORT SYSTEMS; INTEGER PROGRAMMING; MATERIALS HANDLING; OPTIMIZATION;

BATCH SIZES; MIXED INTEGER PROGRAMMING MODEL; PROCESS LAYOUT; PRODUCT LAYOUT; PRODUCTION ENVIRONMENTS; SIMULATION; SIMULATION AND OPTIMIZATION; SYSTEM-LEVEL PERFORMANCE;

MANUFACTURE;

EID: 84890827112     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2013.11.006     Document Type: Review

References (23)

1. O. Baykoc, and S. Erol Simulation modelling and analysis of a JIT production system Int. J. Prod Econ. 55 2 1998 203 212
2. Cao, H., Xi, H., Smith, S., 2003. A reinforcement learning approach to production planning in the fabrication/fulfillment manufacturing process. In: Proceedings of Winter Simulation Conference, New Orleans, LA, pp. 1417-1423.
3. T. Ertay Simulation approach in comparison of a pull system in a cell production system with a push system in a conventional production system according to flexible cost: a case study Int. J. Prod. Econ. 56 1 1998 145 155
4. Gujarathi, N., Ogale, R., Gupta, T., 2004. Production capacity analysis of a shock absorber assembly line using simulation. In: Proceedings of the Winter Simulation Conference, Washington, DC, pp. 1213-1217.
5. Haase, J., 2006. Configuration of high volume solar cell production lines based on crystalline material technology and commercial issues. In: Proceedings of the IEEE Fourth World Conference on Photovoltaic Energy Conversion, Waikoloa, HI, pp. 1256-1258.
6. M. Huang, D. Wang, and W.H. Ip Simulation study of CONWIP for a cold rolling plant Int. J. Prod. Econ. 54 3 1998 257 266
7. M. Kampf, and P. Kochel Simulation-based sequencing and lot size optimisation for a production-and-inventory system with multiple items Int. J. Prod. Econ. 104 1 2006 191 200
8. J. Li, M. Gonzalez, and Y. Zhu A hybrid simulation optimization method for production planning of dedicated remanufacturing Int. J. Prod. Econ. 117 2 2009 286 301
9. Mönch, L., 2005. Simulation-based assessment of order release strategies for a distributed shifting bottleneck heuristic. In: Proceedings of the Winter Simulation Conference, Orlando, FL, pp. 2186-2193.
10. Muller, D., Jackman, J., and Fitzwater, C., 1990. A simulation-based work order release mechanism for a flexible manufacturing system. In: Proceedings of the Winter Simulation Conference, New Orleans, LA, pp. 599-602.
11. Nan, X., Aiping, L., Jianxin, Y., 2007. Product scheduling and manufacturing line reconfiguration using Petri nets and heuristic search. In: Proceedings of the IEEE International Conference on Robotics and Biomimetics, Sanya, China, pp. 1721-1726.
12. S. Owens, and R. Levary Evaluating design alternatives of an extruded food production line using simulation Simulation 78 10 2002 626 632
13. J. Pazour, and R. Meller The impact of batch size retrievals on throughput performance of a carousel system serviced by a storage and retrieval machine Int. J. Prod. Econ. 142 2 2013 332 342
14. E. Sancak, and S. Salman Multi-item dynamic lot-sizing with delayed transportation policy Int. J. Prod. Econ. 131 2 2011 595 603
15. B. Sharda, and N. Akiya Selecting make-to-stock and postponement policies for different products in a chemical plant: a case study using discrete event simulation Int. J. Prod. Econ. 136 1 2012 161 171
16. C. Song, X. Guan, Q. Zhao, and Y.-C. Ho Machine learning approach for determining feasible plans of a remanufacturing system IEEE Trans. Autom. Sci. Eng. 2 3 2005 262 275
17. K. Taskahashi, N. Nakamura, and K. Ohashi Order release in JIT production systems: a simulation study Simulation 66 2 1996 66 87
18. L. Tang, and H. Gong The coordination of transportation and batching scheduling Appl. Math. Model. 33 10 2009 3854 3862
19. T. Tolio, and M. Urgo Design of flexible transfer lines: a case-based reconfiguration cost assessment J. Manuf. Syst. 32 2 2013 325 334
20. S. Tunali, P.M. Ozfirat, and G. Ay Setting order promising times in a supply chain network using hybrid simulation-analytical approach: an industrial case study Simul. Model. Pract. Theory 19 9 2011 1967 1982
21. T. Volling, and T. Spengler Modeling and simulation of order-driven planning policies in build-to-order automobile production Int. J. Prod. Econ. 131 1 2011 183 193
22. Zhiwei, X., Yongxian, L., 2008. Mechanical production line simulation and optimization analysis. In: Proceedings of the IEEE International Conference on Automation and Logistics, Qingado, China, pp. 2925-2930.
23. Zhou, J., Zhao, S., Li, P., Zhou, H., Zhang, Q., Shang, Z., 2009. Research on processes simulation and reconfiguration for piston production lines. In: Proceedings of the International Conference on Computer Modeling and Simulation, Macau, China, pp. 49-52.