Two approaches for eliminating the nonlinear cost function from the mixed-integer programming formulation of the stochastic lot-sizing problem

Additional Metadata
Keywords	stochastic lot-sizing; static-dynamic uncertainty strategy; dynamic cut generation; multi-item lot-sizing; aggregated service level; mixed integer programming
Thesis Advisor	Heuvel, W van den
Persistent URL	hdl.handle.net/2105/67758
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Peters, F.H. (2023, September 13). Two approaches for eliminating the nonlinear cost function from the mixed-integer programming formulation of the stochastic lot-sizing problem. Econometrie. Retrieved from http://hdl.handle.net/2105/67758

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