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A fully polynomial-time approximation scheme for single-item stochastic inventory control with discrete demand

Halman, Nir; Klabjan, Diego; Mostagir, Mohamed; Orlin, Jim - In: Mathematics of operations research 34 (2009) 3, pp. 674-685

Persistent link: https://www.econbiz.de/10003892632

Multiship crane sequencing with yard congestion constraints

Choo, Shawn; Klabjan, Diego; Simchi-Levi, David - In: Transportation science : a journal of the Institute for … 44 (2010) 1, pp. 98-115

Persistent link: https://www.econbiz.de/10003962292

Robust stochastic lot-sizing by means of histograms

Klabjan, Diego; Simchi-Levi, David; Song, Miao - In: Production and operations management : an international … 22 (2013) 3, pp. 691-710

Persistent link: https://www.econbiz.de/10009760418

Optimal expediting policies for a serial inventory system with stochastic lead time

Kim, Chiwon; Klabjan, Diego; Simchi-Levi, David - In: Production and operations management : an international … 24 (2015) 10, pp. 1524-1536

Persistent link: https://www.econbiz.de/10011389200

A Fully Polynomial Time Approximation Scheme for Single-Item Stochastic Lot-Sizing Problems with Discrete Demand

Orlin, James B. - 2006

The single-item stochastic lot-sizing problem is to find an inventory replenishment policy in the presence of a stochastic demand under periodic review and finite time horizon. The computational intractability of computing an optimal policy is widely believed and therefore approximation...

Persistent link: https://www.econbiz.de/10012734449

Continuum Approximation for Congestion Dynamics Along Freeway Corridors

Choo, Shawn; Klabjan, Diego; Simchi-Levi, David - In: Transportation science : the publication of the … 44 (2010) 1, pp. 87-98

Persistent link: https://www.econbiz.de/10008388073

A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand

Halman, Nir; Klabjan, Diego; Mostagir, Mohamed; Orlin, Jim - In: Mathematics of operations research 34 (2009) 3, pp. 674-685

Persistent link: https://www.econbiz.de/10008304787