MILP models for the optimization of real production lines

Author:

Hajba Tamás,Horváth Zoltán

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research

Reference16 articles.

1. Frasch JV, Krumke SO, Westphal S (2011) MIP formulations for flowshop scheduling with limited buffers. Theory and practice of algorithms in (computer) systems. Lect Notes Comput Sci 6595:127–138

2. Hajba T, Horváth Z (2013) New effective MILP models for PFSPs arising from real applications. Cent Eur J Oper Res 21:729–744

3. Hollander M, Wolfe DA (1973) Nonparametric statistical methods. Wiley, New York

4. Jósvai J (2009) Production process modeling and planning with simulation method, Mounting process optimisation. In: The international conference on modeling and applied simulation (2009.09.23-25.), Spain. Universidad de La Laguna, Spain, pp 240–245

5. Kis T, Kovács A (2012) A cutting plane approach for integrated planning and scheduling. Comput Oper Res 39:320–327

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1. Performance analysis and optimization of queueing network production systems considering non-conforming products rework and departure;Journal of Advanced Mechanical Design, Systems, and Manufacturing;2018

2. Heuristic algorithms for the minmax regret flow-shop problem with interval processing times;Central European Journal of Operations Research;2017-07-29

3. Production Line Optimization with Model Based Methods;Math for the Digital Factory;2017

4. Editorial;Central European Journal of Operations Research;2015-10-23

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