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An optimization framework for solving capacitated multi-level lot-sizing problems with backlogging
Wu, Tao; Shi, Leyuan; Geunes, Joseph; Akartunalı, Kerem - In: European journal of operational research : EJOR 214 (2011) 2, pp. 428-441
Persistent link: https://www.econbiz.de/10009307300
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A theoretical and computational analysis of lot-sizing in remanufacturing with separate setups
Sharifah Aishah Syed Ali; Doostmohammadi, Mahdi; … - In: International journal of production economics 203 (2018), pp. 276-285
Persistent link: https://www.econbiz.de/10011900445
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Progressive selection method for the coupled lot-sizing and cutting-stock problem
Wu, Tao; Akartunalı, Kerem; Jans, Raf; Liang, Zhe - In: INFORMS journal on computing : JOC 29 (2017) 3, pp. 523-543
Persistent link: https://www.econbiz.de/10011743471
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Valid inequalities for two-period relaxations of big-bucket lot-sizing problems : zero setup case
Doostmohammadi, Mahdi; Akartunalı, Kerem - In: European journal of operational research : EJOR 267 (2018) 1, pp. 86-95
Persistent link: https://www.econbiz.de/10011812316
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Local cuts and two-period convex hull closures for big-bucket lot-sizing problems
Akartunalı, Kerem; Fragkos, Ioannis; Miller, Andrew J.; … - In: INFORMS journal on computing : JOC 28 (2016) 4, pp. 766-780
Persistent link: https://www.econbiz.de/10011617607
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Robust formulations for economic lot-sizing problem with remanufacturing
Attila, Öykü Naz; Agra, Agostinho; Akartunalı, Kerem; … - In: European journal of operational research : EJOR 288 (2021) 2, pp. 496-510
Persistent link: https://www.econbiz.de/10012438255
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MIP approaches for a lot sizing and scheduling problem on multiple production lines with scarce resources, temporary workstations, and perishable products
Soler, Willy A. O.; Santos, Maristela Oliveira; … - In: Journal of the Operational Research Society 72 (2021) 8, pp. 1691-1706
Persistent link: https://www.econbiz.de/10012609221
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Dynamic lot sizing with stochastic demand timing
Akartunalı, Kerem; Dauzère-Péres, Stéphane - In: European journal of operational research : EJOR 302 (2022) 1, pp. 221-229
Persistent link: https://www.econbiz.de/10013269359