Commenced in January 2007
Paper Count: 30576
Optimal Manufacturing Scheduling for Dependent Details Processing
Abstract:The increasing competitiveness in manufacturing industry is forcing manufacturers to seek effective processing schedules. The paper presents an optimization manufacture scheduling approach for dependent details processing with given processing sequences and times on multiple machines. By defining decision variables as start and end moments of details processing it is possible to use straightforward variables restrictions to satisfy different technological requirements and to formulate easy to understand and solve optimization tasks for multiple numbers of details and machines. A case study example is solved for seven base moldings for CNC metalworking machines processed on five different machines with given processing order among details and machines and known processing time-s duration. As a result of linear optimization task solution the optimal manufacturing schedule minimizing the overall processing time is obtained. The manufacturing schedule defines the moments of moldings delivery thus minimizing storage costs and provides mounting due-time satisfaction. The proposed optimization approach is based on real manufacturing plant problem. Different processing schedules variants for different technological restrictions were defined and implemented in the practice of Bulgarian company RAIS Ltd. The proposed approach could be generalized for other job shop scheduling problems for different applications.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329158Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1131
 M. Pinedo, Scheduling: Theory, Algorithms and Systems. Prentice Hall, 2001.
 D. Chen, P. B. Luh, L. S. Thakur and J. Moreno Jr., "Optimization-based manufacturing scheduling with multiple resources, setup requirements, and transfer lots", IIE Transactions, 35, 2003, pp. 973-985.
 S. J. Mason, P. Qu, E. Kutanoglu, J. W. Fowler, "The single machine multiple orders per job scheduling problem", Available: http://ie.fulton.asu.edu/files/shared/workingpapers/MOJ_Paper.pdf
 M. S. Akturk, J. B. Ghosh, E. D. Gunes, "Scheduling With Tool Changes to Minimize Total Completion Time: A Study of Heuristics and Their Performance", Naval Research Logistics, 50(1), 2003, pp. 15-30.
 S. C. Kim and P. M. Bobrowski, Impact of sequence-dependent setup time on job shop scheduling performance. International Journal of Production Research, 32(7), 1994, 1503-1520.
 I. M. Ovacik, and R. Uzsoy, "Rolling horizon algorithm for a singlemachine dynamic scheduling problem with sequence-dependent setup times", International Journal of Production Research", 32(6), 1994, pp. 1243-1263.
 H. L. Young, K. Bhaskaran, and M. Pinedo, "A heuristic to minimize the total weighted tardiness with sequence-dependent setups". IIE Transactions, 29(1), 1997, pp. 45-52.
 J. Wang, P. B. Luh, X. Zhao and J. Wang, "An Optimization-Based Algorithm for Job Shop Scheduling", Sadhana, vol. 22, 1997, pp. 241- 256.
 P. Baptiste; C. L. Pape, "Disjunctive constraints for manufacturing scheduling: principles and extensions", International Journal of Computer Integrated Manufacturing, 9(4), 1996, pp. 306-310.
 J. H. Blackstone, D. T. Phillips and G. L. Hogg, "A State-of-the-art Survey of Dispatching Rules for Manufacturing Job Shop Operations," Int. J. Prod. Res., vol. 20, 1982, pp. 27-45.
 T. E. Morton and D. W. Pentico, Heuristic Scheduling Systems with Applications to Production Systems and Project Management. Wiley, New York, 1993
 S. Horn, G. Weigert, E. Beier, "Heuristic optimization strategies for scheduling of manufacturing processes", Electronics Technology, ISSE '06 29th International Spring Seminar on, 2006, 422-427.
 J. Adams, E. Balas and D. Zawack, "The Shifting Bottleneck Procedure for Job Shop Scheduling," Management Science, 34(3), 1988, pp. 391- 401.
 Lindo Systems Inc., http://www.lindo.com.